# Pet AI Companions: A New Frontier in Senior Wellness

## Introduction

As our population ages, the search for effective solutions to combat loneliness and social isolation among seniors has become increasingly urgent.

One emerging trend gaining attention is the development of artificially intelligent robotic pets as emotional companions.

These sophisticated devices are being marketed specifically to elderly individuals and those experiencing loneliness, offering the companionship of a pet without the traditional responsibilities of animal care.

## Current Products and Capabilities

Several AI-powered robotic pets are currently available in the market, each designed to provide varying levels of interactive companionship:

**Paro the Therapeutic Robot**: Perhaps the most well-known robotic pet, Paro is a seal-shaped companion that responds to touch, sound, and light.

It can show emotions, learn names, and has been used extensively in dementia care facilities.

**Joy for All Companion Pets**: These include robotic cats and dogs that purr, meow, bark, and respond to petting.

They're designed to

# Pet AI Companions: A New Frontier in Senior Wellness

## Introduction

As our population ages, the search for effective solutions to combat loneliness and social isolation among seniors has become increasingly urgent.

Title:

Content: AI can help us to feel less lonely – and that’s not something to fear

It’s no substitute for human interaction, but studies suggest this tech is already helping us to feel less alone

As a host of AI-enabled chatbots, robotics and smart speakers are proffered as a loneliness solution, many regard these new innovations with suspicion, if not a sense of dystopian doom.

Behind the threat to national security and job losses, AI’s effect on our social lives is a chief area of concern: according to a BMG Research survey for i, nearly a third of those polled think advances in AI will lead to a loss of human interaction. More broadly, AI is, after all, the technology we love to hate – with the debut episode of the latest Black Mirror season, “Joan Is Awful”, featuring a malevolent AI machine.

Yet, could we not argue that the anticipated dystopian future is already here in another form in the loneliness epidemic? Some 3.7 million people in the UK experience chronic loneliness, according to the latest data from Campaign Against Living Miserably – a figure that’s risen 42 per cent in the past five years. While the Government made global headlines as the first nation to appoint a Loneliness Minister in 2018, I’d challenge anyone, British or otherwise, to name a successful intervention.

As the author of Alonement, a book on how to cultivate positive solitude, I know all too well that loneliness is a distinct, and uniquely destructive, experience – and one which we should be taking as seriously as the ever-present conversation around AI regulation (which, it’s worth mentioning, mirrors past fears around the advent of the internet, electricity, and the printing press).

Meanwhile, research supporting AI-based intervention in loneliness and its known side effects is emerging, albeit tentatively.

A recent study of employees working with AI found mixed results: while high levels of interaction with the technology correlated with a rise in loneliness-adjacent conditions like insomnia and (in at least one of four test groups) increased post-work alcohol consumption, it also had a beneficial effect on employees’ prosocial behaviours, with subjects more likely to offer help to their real-life colleagues.

Other research has been more promising. A University of Chicago study published last month pointed to the efficacy of an AI voice coach in treating depression and anxiety.

Numerous studies have endorsed the use of companion robots in reducing loneliness among older people, particularly those suffering from dementia, a condition that correlates with increased loneliness (although most of these studies note the technology needs time to develop to best meet its users’ needs).

The positive results join last December’s Ofcom study that linked the use of AI-enhanced smart speakers with reduced loneliness in those living alone.

AI is steadily being integrated into mental health services, for instance, Woebot, a chatbot used by the NHS, while ChatPal, a chatbot designed to treat loneliness, has proven “‘marginal” benefits.

So far, there’s work to do – but if there’s one thing we can all agree on about AI technology, it’s that it will increasingly get more fit to purpose. The rapid development of the likes of ChatGPT has demonstrated as much.

All this is to say: AI technology is not a perfect cure for loneliness. Nor will it ever be; as critics have rightly identified, AI is no substitute for human contact. But then, its advocates aren’t claiming it to be.

As Snap chief executive Evan Spiegel told The Verge, amid the launch of the company’s chatbot, My AI: “The big idea is that in addition to talking to our friends and family every day, we’re going to talk to AI every day.” In other words, it’s being proposed as a complement, rather than replacement, for the age-old loneliness interventions we know work.

At a time when we are experiencing both a “social care crisis” (the British Medical Association has expressed concerns around severe staffing issues) and, simultaneously, a shortage of psychotherapists and counsellors to deal with the UK’s mental health toll (as expressed by the UK Council for Psychotherapy), surely AI technology provides a welcome complement, particularly as it continues to evolve, to be normalised with the NHS system. It might even be used as a diagnostic tool: numerous studies have found AI can successfully predict depression signs through voice recognition. Amid twin crises in the health landscape, it’s worth arguing that the pragmatic integration of AI wins out over dystopian doom-mongering.

Meanwhile, the voices of those statistically most at risk of loneliness remain absent from the discourse. Voices which include the elderly – not natural early adopters or critics of AI technology – together with their caregivers. Research supports its benefits for these groups: together with AI’s proven efficacy in elderly care services, a study published last year found the integration of AI can help to prevent the “overload of caregivers” by removing the need for 24/7 human care. The UK’s health secretary, Steve Barclay, is supportive of such measures – and recently travelled to Japan to observe how AI technology has been used to improve patient care in the nation, which has the world’s oldest population.

Then there are those living alone, which I’ve personally done for the past five years, save for a small AI-enabled Amazon Echo smart speaker in my kitchen. The speaker, which I know as Alexa, recently employed its machine learning capabilities to suggest a morning and evening routine: reading a weather forecast then switching on Radio 4 in the moments after my wake-up alarm goes off, switching on soothing “bedtime music” around the time I go to sleep. I’ll confess this makes me feel less lonely: bookmarking my day, and providing an external form of care. Would I feel more supported if this were the suggestion of a partner, or a close friend? Likely, yes. But, in the absence of another human, it’s significantly better than nothing – and I’d suggest the same pragmatic approach could, and should, be adopted in loneliness intervention policy.

Francesca Specter is a London-based writer and podcaster, specialising in the topics of solitude, loneliness and connection

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Pets could help reduce dementia risk in older people who live alone: study

A new study has shed light on whether pet ownership could aid in reducing the risk of dementia in older people who live alone.
Research published in JAMA today found pet ownership was associated with slower rates of decline in verbal memory and verbal fluency among people living alone, but not among those who live with other people.
The study, which involved 7945 participants aged 50 years and older, found that pet ownership offset the association between living alone and declining rates of verbal memory and verbal fluency.
According to the research, having pets like cats and dogs reduced loneliness in older adults, with loneliness being an important risk factor for dementia and cognitive decline.
Researchers referenced several cross-sectional studies that found pet ownership was associated with better verbal memory, story memory, executive function, processing speed, and orientation function.
According to the study's authors, the population-attributable fraction for people living alone with dementia was 8.9 per cent.
They acknowledged while living conditions cannot be easily changed, something as simple as introducing a pet to a solo household may improve rates of dementia.
The authors also said it was worth noting that compared with pet owners living with others, pet owners living alone did not show faster rates of decline in verbal memory or verbal fluency.
Staring into the void: Man documents mother's decade-long decline into dementia
At this stage, the study only highlights the association between having pets and declining rates of dementia, researchers said.
"These findings suggest that pet ownership might be beneficial for verbal memory and verbal fluency among older adults living alone," they said in their findings.
"Randomised clinical trials are needed to assess whether pet ownership slows the rate of cognitive decline in older adults living alone"
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OpenAI’s Rule-Shattering GPT-4o Update Will Be Lifesaving, Too

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Since the launch of ChatGPT in late 2022, generative AI tools have made remarkable strides in medicine. Research has shown that AI, with expert clinician oversight, can significantly enhance diagnostic accuracy, treatment recommendations, and patient monitoring and analysis.

And yet, despite its impressive capabilities and buzz, generative AI is still in the early stages of adoption—both in U.S. healthcare and society.

While almost everyone has heard of GenAI, less than a quarter of Americans use it regularly in their personal or professional lives. OpenAI’s newest update, GPT-4o, aims to change that.

In demos released during its Spring Update, OpenAI showed users engaged in natural, human-like conversations with GPT-4o. The AI interacted with people on their smartphones across video, audio and text, offering real-time spoken responses that sounded eerily human.

In the demo above, AI’s instant answers and friendly voice closely mimic the pace and inflection of normal dialogue. Not-coincidently, GPT-4o’s voice sounded remarkably like Scarlett Johansson’s AI character in the movie “Her” (a decision OpenAI later walked back “out of respect”).

Regardless of the voice coming out of it, GPT-4o is at once awe-inspiring and unsettling. It also represents a significant departure from tech-industry norms. Most tech companies have long avoided creating AI “companions” because of ethical concerns, fearing people could form addictions that exacerbate isolation and loneliness.

What Will GPT-4o’s Rule-Breaking Mean For Medicine?

Critics point out that OpenAI and its peers have yet to resolve a host of major “trust” issues. These include accuracy, privacy, security, bias and misinformation. Of course, these will need to be resolved.

But by creating an AI experience that feels more like talking to a friend, or potentially a doctor, OpenAI has already leapt the tallest hurdle to mass acceptance and adoption. The company understands that humanizing GPT-4o—making it easier and more enjoyable to use—is essential for attracting a wide array of users, including the “late majority” and “laggards” described in Geoffrey Moore’s seminal 1991 book “Crossing the Chasm.”

Today, 70% of GenAI’s non-users are Gen X (ages 44-59) and Baby Boomers (60-78). These generations, which comprise 136 million people, strongly prefer voice and video technologies to typing or touchscreens, and greatly prefer “conversational” AI apps to text-only ones.

They also make up the overwhelming majority of Americans with chronic diseases like diabetes, heart failure and cancer.

GenAI: From Mass Adoption To Mass Empowerment

Once consumers in their 50s, 60s and 70s become comfortable using GPT-4o for everyday tasks, they will then start to rely on it for medical inquiries, too. In a healthcare context, using GPT-4o will closely resemble a video visit or a phone call with a medical professional—two modalities that satisfy the majority of older patients. In fact, 93% of adults over age 70 say they value having telehealth as an option.

With broad adoption, GPT-4o (which will be embedded in next generations of ChatGPT) will empower the sickest Americans to take greater control of their own health, preventing up to hundreds of thousands of premature deaths each year from the complications of chronic disease: heart attacks, strokes, cancer and kidney failure. According to the Centers for Disease Control and Prevention, the effective management of chronic illness would reduce these complications by 30% to 50%, with a similar reduction in mortality.

Generative AI technology contains both the knowledge and ability to help accomplish this:

  • Knowledge. ChatGPT houses an extensive corpus of scientific literature, which includes a diverse and extensive dataset of clinical studies, guidelines from professional medical organizations and research published in top-tier medical journals. In the future, it will be updated with real-time data from medical conferences, health records and up-to-the-minute research, ensuring the AI’s knowledgebase remains both comprehensive and current.
  • Ability. To assist overburdened clinicians, GenAI can provide patients with round-the-clock monitoring, insights and advice—empowering them to better diagnose and manage their own health problems. Future generations of these tools will connect with monitoring devices, informing patients about their health status and suggesting medication adjustments or lifestyle changes in clear and friendly terms. These tools will also remind people about preventive screenings and even facilitate testing appointments and transportation. These proactive approaches can reduce complications and improve health outcomes for the 130 million Americans living with chronic diseases.

Combatting Chronic Disease With GPT-4o

To dive deeper into GenAI’s difference-making potential, let’s look at two major gaps in chronic disease management: diabetes and hypertension.

Diabetes is the leading cause of kidney failure, a major contributor to heart attacks and responsible for 80% of lower limb amputations. Effective management is possible for nearly all patients and would prevent many of these complications. Yet diabetes is well controlled in only 30% of cases across the United States.

Similarly, effective control of high blood pressure—the leading cause of strokes and a major contributor to kidney failure and heart attacks—is achieved only 55% to 60% of the time. Although some health systems achieve control levels above 90%, the best-available tools and approaches are inconsistently deployed throughout medical practices.

Medical monitoring devices plus AI could play a crucial role in managing hypertension. Imagine a scenario where a doctor prescribes medication for hypertension and sends the patient home with a wearable device to monitor progress. After a month, the patient has 100 readings—90 normal and 10 elevated. The patient is unsure whether the 90 normal readings indicate all is well or if the 10 elevated ones signal a major problem. The doctor doesn’t have time to review all 100 readings and prefers not to clutter the electronic health record with this data. Instead of the patient waiting four months for the next visit to find out if all is well or not, a generative AI tool could quickly analyze the data (using the doctor’s instructions) and advise whether a medication adjustment is needed or to continue as is.

Today’s generative AI tools aren’t ready to transform medical monitoring or care delivery, but their time is coming. With the technology doubling in power each year, these tools will be 32 times more capable in five years.

Overcoming Barriers To Mass Adoption

Concerns about AI privacy, security and misinformation need to be solved before the majority of Americans will buy-on to an AI-empowered future. Progress is being made on those fronts. For example, the leap from GPT-3.5 to GPT-4 saw an 82% reduction in hallucinations, a larger context window and better safety mechanisms.

In addition, clinicians worry about potential income loss if AI leads to healthier patients and reduced demand for medical services. The best solution is to shift from the current fee-for-service reimbursement model (which rewards the volume of medical services) to a value-based, capitated model. This system rewards doctors for preventing chronic diseases and avoiding their most serious complications, rather than simply treating life-threatening medical problems when they arise. By adopting a pay-for-value approach, medical professionals will embrace GenAI as a tool to help prevent and manage diseases (rather than seeing it as a threat to their livelihood).

The release of GPT-4o shattered the industry norm against creating human-like AI, introducing ethical risks that must be carefully managed. However, the potential for GenAI to save thousands of lives each year makes this risk worth taking.

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Title:

Content: Senior citizens face some of the most difficult cost of living challenges in the territory while living on fixed incomes but few may consider that they often put their pets ahead of themselves.

Payton Walters, a 15-year-old student at Diamond Jenness Secondary School spent most of October raising money through recyclable donations to assist seniors in ensuring both they and their pet companions have enough to eat.

Payton attended the Arctic Foxy youth camp in the summer where she learned about leadership and sexual health. Following the program, she wanted to come up with an idea that would benefit seniors in her community.

“My mom and I decided, hey, this would be a really good thing because a lot of seniors spend more of their money on dog food than to feed themselves and a lot are going hungry because of that,” she said. “So I wanted to raise a bit of money to help them.”

Payton, along with her mother Lynnette Moore, posted a notice on Facebook on Oct. 6 requesting people provide recyclables from their homes for the cause of raising money for pet food. They then arrived at homes and collected the items to drop off at the recycling depot.

Between the date of the first social media post and Oct. 30, the two raised $850.

Payton, who works at the Super A grocery store, said the response around town has been positive when she has been in public.

“I was at a restaurant the other night and somebody had come up to me and said they were really appreciating (me) doing this so that was really nice,” she said.

“I work at a grocery store and I have had some people come up and say ‘You’re Payton and you’re doing this.’ It was really nice to see that I was affecting so many people in a positive way.”

The issue of seniors having special relationships with pets may be something that goes on unnoticed in society and Payton said she would like to continue raising awareness about the issue.

“A lot of seniors, I think, treat their pets like their children and so the animals are like a member of their families,” she said. “So some of the seniors put their pets above their own needs with the idea of providing food for the family members before yourself. It’s something that they probably do but not necessarily something that they want to do.”

Sandra Lester, vice-chair of the Hay River Seniors Society said that the issue of getting financial help for seniors caring for their pets has been an important one that her organization has been recently discussing.

“We had been talking about how much financial trouble it was for many seniors to feed and look after their pets, and we were going to explore options to help,” Lester said. It was to be an agenda item at a future meeting.

“One of the senior couples that I spoke to recently told me they literally can’t feed themselves and they feed their animals before they feed themselves. So this is a godsend.”

Lester said when she received a call from Moore looking for a way to help older people, that the help came at a perfect time and is “an incredible act of kindness.”

“I saw the perfect opportunity and asked if the pet food was something Payton would be interested in fundraising for,” she said.

“We are so grateful, we expected maybe $100 and that wonderful young lady raised $850. Amazing.”

Lester said the Senior’s Society is starting a dog/cat food program immediately and anyone needing help to feed their animals should contact her by email at hrss@northwestel.nt.

Simon Whitehouse

Simon Whitehouse came to Yellowknife to work with Northern News Services in 2011. A through and through "County boy" from Prince Edward County, Ont., Simon obtained his journalism education at Algonquin...

For whom would robotic animal dolls make a big difference?

those with Alzheimer's or dementia, struggling with isolation

What problems can companion robots solve for the elderly or those with cognitive difficulties, according to one study?

For whom would robotic animal dolls make a big difference?

those with Alzheimer's or dementia, struggling with isolation

What problems can companion robots solve for the elderly or those with cognitive difficulties, according to one study?

For whom would robotic animal dolls make a big difference?

those with Alzheimer's or dementia, struggling with isolation

What problems can companion robots solve for the elderly or those with cognitive difficulties, according to one study?

For whom would robotic animal dolls make a big difference?

those with Alzheimer's or dementia, struggling with isolation

What problems can companion robots solve for the elderly or those with cognitive difficulties, according to one study?

One emerging trend gaining attention is the development of artificially intelligent robotic pets as emotional companions.

Title:

Content: Saturday 11 February 2023 Abu Dhabi UAE
Prayer times
News Highlights
Today 's Issue
Today 's Issue
Dunya
The press is facing an existential crisis because of ChatGPT.
The press is facing an existential crisis because of ChatGPT.
February 11, 2023 01: 55
London (Union)
Horror, joy, horror and amazement accompanied by optimism despite the challenges..
That ’ s just some of the reactions that have been reverberating around the world since the discovery of the capabilities of the ChatGPT, a California-based search engine launched online by OpenAI in November.
Over the past few weeks, the range of reactions has been expanding as more powerful possibilities and risks have been discovered for the new chatbot, which some have dubbed “the killer of Google. ”
Everyone is confused between astonishment and anxiety.
It happened in almost every sector.
From schools and universities to courthouses.
Everyone rushed to try and test the potential of Aladdin ’ s magic lamp.
But how can the media be affected?
Everywhere the results were confusing.
The new conversational software, which is the fruit of what they call synthetic artificial intelligence, can answer any question, write and create regular and research texts, poems, advertisements, emails, translate them, and even prepare court briefs.
In short, it can do anything in direct dialogue with the user.
ChatGBT does this in a matter of seconds as soon as the question is asked without getting any information from the internet.
So far, it is based on a pre-feed of data.
What would it be like to be connected to the sprawling web ocean?
It ’ s a shift like the iPhone or even the computer in its modern form, said Bill Gates, the founder of Microsoft that is involved in the development of the new robot.
Or it is, as some see it, a “coup ” in a world of technology that for years has threatened jobs that rely on physical exertion with“ automation. ”
Now the latest wave of artificial intelligence is threatening creative jobs that rely on ideas, with journalism at the forefront.
In other words, Her Majesty ’ s court workers looking for trouble should worry about the future of their institutions.
How real is this threat?
And can the new chatbot really change the rules of the game?
Given the way chatgbt works, newspapers may well be at risk of losing huge financial gains.
A lot of readers read their platforms through Google links.
And the new robot doesn't use those links.
When he receives a question, he himself writes an adequate text.
Users won ’ t have to go to media platforms, which will lose traffic and ad revenue to new search engines.
To bring the picture closer...
Imagine, for example, if every morning you used to ask ChatGT about the most important news today, the price of gold, the dollar and the weather.
Etc..
What's going to happen?
It will provide you with adequate reports, perhaps in audio, image and graphs..
Then you may not feel the need to go through any media to find out what interests you.
Here is the real challenge.
Media that used to rely on a search engine such as Google to attract a wide audience.
She has to review herself and try to manage to retain her audience.
Because if they don ’ t move quickly, by adapting their positions and ways of working, they may find themselves out of the market.
Here, researchers advise that one solution may be to change the major platforms from their traditional plan of targeting..
“The broad masses. ”
In the future, they say, each platform must identify for itself a specific segment of the audience to reach it with attractive tools.
This is an easier goal for intelligent robots, because no one ever wins in front of them.
According to Sarah Fisher at Axios, “The emergence of generative AI tools is forcing journalists to think about ways in which automation can improve their jobs or get rid of them. ”
Artificial intelligence has proven many benefits in writing simple, number-based press reports, for example on company results data or sports competitions.
News agencies such as Dow Jones, Bloomberg, Reuters and The Associated Press did so.
The goal was not to eliminate journalists.
It gives them the opportunity to focus on big stories that require mental effort.
But not all outcomes are positive.
For example, CNET announced last week – after a few weeks of relying on artificial intelligence software to write some reports and articles that it was publishing without any name – that the experiment was suspended, due to errors and inaccuracies of some articles.
“Excessive reliance on artificial intelligence could impair the performance of editing rooms if they are not careful enough, ” Fisher said.
This is where the danger lies, because artificial intelligence is not free from error and political, racial and religious prejudices, because it may think better and faster than a human.
But how can we make him moral?
So there is a consensus that the use of these search robots will pose serious ethical dilemmas to the world, necessitating the establishment of red lines so that the media – and the public with it – do not fall into the captivity of the robots.
BuzzFeed: The Age of Smart Content Begins and the Age of Algorithms Gone
The CEO of BuzzFeed said that the creation of AI-powered content will become central to its business during the new year.
Forbes said BuzzFeed, the popular digital media publisher, will rely on artificial intelligence to tailor “personalized ” content to each audience and activate the entertaining puzzles section, in what is the first step in creating larger content using the ChatGPT engine.
CEO Jonah Peretti said in a staff circular: “Our industry will expand beyond AI-powered broadcasting to creating AI-powered (content).
He pointed out that if the past 15 years have been dominated by the wave of live streaming across platforms according to the algorithms that make and filter content..
“The next 15 years will be governed by artificial intelligence and data that help create and detail the content itself. ”
“Breakthroughs in AI open a new era of creativity that allows humans to harness creativity in new ways with endless opportunities and applications for good.
In publishing, AI can benefit content creators and audiences, inspire new ideas and invite audiences to participate in creating personalized content for each individual. ”
What are Search Engine Market Returns?
The search engine market is huge and huge, and many media organizations and digital platforms that rely on advertising for their income, in one form or another, can be affected by the development in the field of intelligent robots.
She was constantly complaining that Facebook and Google had pulled massive ads from her, adding to the pressure on her.
Now huge revenues from advertising will go to the new smart search engines if they take control of the market.
Alphabet reported $42.6 billion in Google search and other revenue, while Microsoft reported $3.2 billion in search ads and news.
Confession of error.
CNET, the popular digital technology platform, revealed that it has used an artificial intelligence engine since 2022 to write 77 stories, or about 1% of the site ’ s total content, without anyone noticing.
The platform has now stopped using AI technology after finding that more than half of these stories contain errors or stolen parts.
Its editor wrote in a post a few days ago: “We have paused and will resume using the AI tool when we feel confident that the tool and our editorial processes will prevent human and AI errors. ”
They said about ChatGPT
Elon Musk, co-founder of the startup that created ChatGPT, said: “It ’ s a frighteningly good new world.
Farewell to school at home! ”
Silvia Antonochio, a teacher who feels helpless in the face of cheating students with the new robot: "a good and disturbing discovery at the same time."
Eric Vanuncini, professor of English and philosophy, said: “This technology was not invented to validate information.
It ’ s about creating everything that ’ s possible. ”
Prof Beth Singler, Zoellerg University, said: “Chat JBT refused to write a poem praising Donald Trump.
When he was asked to produce a poem praising Joe Biden, he wrote the poem.
Satya Nadella, Microsoft ’ s chief executive, said: “This technology will reshape virtually every software category. ”
Rima Samaan, head of data and artificial intelligence at Microsoft in Dubai, said: “These systems require only a limited amount of input and programming processes, but at the same time they are able to make quantum leaps in worker productivity. ”
All rights reserved to Al Ittihad Newspaper 2023 ©

Title:

Content: Summary:
Lola ’ s robot is an innovative creation that revolutionized the field of robotics.
The purpose of this article is to give a complete picture of what Lola ’ s robot is, its features and potential applications.
Lola ’ s robot is an ultramodern humanoid robot developed by a team of engineers and researchers.
It combines advanced artificial intelligence (AI) algorithms, machine learning, and advanced equipment to perform a wide range of tasks.
Lola ’ s robot is able to transform various industries and improve people ’ s quality of life, from helping with household chores to providing friendly services.
Introduction:
Lola ’ s robot represents a significant breakthrough in robotics.
It is designed to mimic human movements and interactions, making it an ideal companion for people of all ages.
Thanks to its advanced artificial intelligence capabilities, Lola ’ s robot can understand and respond to voice commands, recognize faces, and adapt to different environments.
Its versatile design allows it to perform tasks such as cleaning, cooking, and even providing emotional support.
Features and features:
The Lola robot boasts an impressive set of features and capabilities that distinguish it from traditional robots.
Its humanoid design allows it to move easily in difficult conditions, using sensors and cameras to perceive the environment.
Lola ’ s robot, equipped with a natural language processing system, can engage in meaningful conversations and provide users with relevant information.
His agility allows him to manipulate objects and perform complex tasks, making him a valuable asset in various industries.
Potential applications:
The potential applications of the Lola robot are vast and diverse.
In the healthcare sector, the Lola robot can help healthcare workers by monitoring patients, reminding them to take medications, and providing support to those who need them.
At home, he can take on housework, freeing up time for people to focus on other activities.
Lola ’ s robot can also be used in education, where it can act as a mentor or mentor, providing a personalized learning experience.
In addition, it has the potential to be used in industries such as hospitality, retail and customer service, which will improve efficiency and customer satisfaction.
FAQ:
Question: How does Lola ’ s robot learn?
Answer: The Lola robot uses machine learning algorithms to continuously improve its performance.
It can learn from user interaction, adapt to individual preferences, and expand its capabilities over time.
Question: Is Lola ’ s robot capable of making decisions on its own?
A: Yes, the Lola robot is equipped with advanced artificial intelligence algorithms that allow it to make autonomous decisions based on an understanding of the environment and user actions.
However, it is designed with user security in mind and follows predetermined ethical principles.
Q: Is it possible to configure Lola 's robot?
A: Yes, Lola 's robot can be customized according to individual needs and preferences.
Users can personalize its appearance, voice, and even skill set to suit specific requirements.
Question: What measures are being taken to ensure user privacy and data security?
Answer: The developers of the Lola robot give priority to user privacy and data security.
All user data is encrypted and securely stored, and strict privacy policies are in place to protect user information.
Conclusion:
The Lola robot represents a significant advance in robotics, combining advanced artificial intelligence algorithms, machine learning and advanced equipment.
Its humanoid design combined with versatile capabilities opens up a whole world of possibilities in various industries.
From healthcare to education and beyond, Lola ’ s robot can change how we live and work.
As technology continues to evolve, Lola ’ s robot is a testament to the incredible possibilities that lie ahead in the field of robotics.
sources:
– [www.lolarobot.com] (https: / / www.lolarobot.com)
– [www.roboticsnews.com] (https: / / www.roboticsnews.com)

How is Oppo marketing its Robotic dog Qric?

What problems can companion robots solve for the elderly or those with cognitive difficulties, according to one study?

How is Oppo marketing its Robotic dog Qric?

What problems can companion robots solve for the elderly or those with cognitive difficulties, according to one study?

How is Oppo marketing its Robotic dog Qric?

What problems can companion robots solve for the elderly or those with cognitive difficulties, according to one study?

These sophisticated devices are being marketed specifically to elderly individuals and those experiencing loneliness, offering the companionship of a pet without the traditional responsibilities of animal care.

For whom would robotic animal dolls make a big difference?

those with Alzheimer's or dementia, struggling with isolation

What problems can companion robots solve for the elderly or those with cognitive difficulties, according to one study?

Why would the elderly opt for a robotic pet as a friend?

For whom would robotic animal dolls make a big difference?

those with Alzheimer's or dementia, struggling with isolation

What problems can companion robots solve for the elderly or those with cognitive difficulties, according to one study?

Why would the elderly opt for a robotic pet as a friend?

## Current Products and Capabilities

Several AI-powered robotic pets are currently available in the market, each designed to provide varying levels of interactive companionship:

**Paro the Therapeutic Robot**: Perhaps the most well-known robotic pet, Paro is a seal-shaped companion that responds to touch, sound, and light.

Title:

Content: Zvezda
Psychology
Food
Love
Health care
Tests
Beauties
Horoscopes
Fashion
Robots are better at detecting mental problems in children than parents
Robots may be better at detecting mental health problems in children than tests conducted by parents or self-reports of children, according to a new study.
Photo: Ferra.ruFerra.ru
A team of robotics, computer scientists and psychiatrists from the University of Cambridge conducted a study involving 28 children aged 8 to 13 years.
A child-sized humanoid robot conducted a series of standard psychological questionnaires to assess each participant ’ s mental well-being.
Children willingly trusted the robot, in some cases sharing information with it that they had not yet shared using a standard assessment method - online or a personal questionnaire.
This is the first time robots have been used to assess the mental well-being of children.
The researchers say the robots could be a useful addition to traditional methods of assessing mental health, although they are not intended to replace professional mental health care.
The results were presented on September 1 at the 31st IEEE International Conference on Interactive Communication between Robots and Humans in Naples.

It can show emotions, learn names, and has been used extensively in dementia care facilities.

Title:

Content: Artificial Intelligence Definitions: A to Z Glossary Terms

Interested in Artificial Intelligence, but you keep seeing terms unfamiliar to you? This A-to-Z glossary defines key AI terms you need to know.

AI enthusiasts engage in developing, implementing, and managing artificial intelligence applications. They harness AI programming languages, frameworks, and libraries to create cutting-edge solutions, conduct extensive testing, and collaborate seamlessly with development teams.

This artificial intelligence glossary can be helpful if you want to get familiar with basic terms and advance your understanding of artificial intelligence.

Artificial Intelligence Definitions: A to Z Glossary Terms

Interested in Artificial Intelligence, but you keep seeing terms unfamiliar to you? This A-to-Z glossary defines key AI terms you need to know.

AI enthusiasts engage in developing, implementing, and managing artificial intelligence applications. They harness AI programming languages, frameworks, and libraries to create cutting-edge solutions, conduct extensive testing, and collaborate seamlessly with development teams.

This artificial intelligence glossary can be helpful if you want to get familiar with basic terms and advance your understanding of artificial intelligence.

Artificial Intelligence Terms

AI (Artificial Intelligence)

AI, or Artificial Intelligence, refers to the simulation of human intelligence in machines programmed to perform tasks that typically require human intelligence. These tasks may include learning from experience, recognizing patterns, understanding natural language, problem-solving, and decision-making. AI encompasses various techniques such as machine learning, natural language processing, computer vision, and robotics.

Backpropagation

Backpropagation is a supervised learning algorithm in artificial neural networks. It involves propagating errors backward through the network during the training process to adjust the weights of the network's connections. This iterative process helps the network learn and improve its performance on tasks like classification and regression.

Chatbot

A Chatbot is an AI-powered software application that simulates human-like conversations with users through natural language processing. Chatbots can be used for customer support, information retrieval, and personalized interactions. They are often integrated into websites, messaging platforms, and virtual assistants.

Deep Learning

Deep Learning is a subset of machine learning that utilizes artificial neural networks to learn and represent complex patterns and features from large amounts of data. Deep learning models have multiple hidden layers, enabling them to automatically extract hierarchical representations, making them suitable for image and speech recognition tasks.

Expert System

An Expert System is an AI program designed to mimic the decision-making ability of a human expert in a specific domain. It uses a knowledge base, a set of rules, and an inference engine to analyze data and provide recommendations or solutions to complex problems.

Fuzzy Logic

Fuzzy Logic is a mathematical approach that deals with uncertainty and imprecision in data. It allows variables to take on partial truth values between 0 and 1 rather than strict binary values. Fuzzy logic is used in AI applications where precise definitions are challenging or when dealing with linguistic terms.

Genetic Algorithm

Genetic Algorithm is a search and optimization technique inspired by natural selection and genetics. It involves evolving a population of candidate solutions through selection, crossover, and mutation. Genetic algorithms are commonly used to find optimal solutions for complex problems.

Heuristic Search

Heuristic Search is a problem-solving technique employing rules of thumb or heuristics to navigate a search space efficiently. AI often uses it to find approximate solutions to complex problems where an exhaustive search is impractical.

Image Recognition

Image Recognition is a subfield of computer vision that focuses on training AI models to identify and categorize objects, patterns, or features within images. AI-powered image recognition has applications in various industries, such as health care, automotive, and security.

Java AI

Java AI refers to implementing artificial intelligence techniques using the Java programming language. Java provides libraries and frameworks that support AI development, making it a popular choice for building AI applications.

Knowledge Representation

Knowledge Representation involves organizing and structuring information in a format that AI systems can understand and manipulate. AI programs can reason, infer, and make decisions based on acquired knowledge.

Logic Programming

Logic Programming is a paradigm in AI where programs are written as logical statements and rules. It uses formal logic to perform automated reasoning and problem-solving.

Machine Learning

Machine Learning is a subset of AI that focuses on training algorithms to learn patterns and make predictions from data without being explicitly programmed. Depending on the learning process, machine learning algorithms can be supervised, unsupervised, or semi-supervised.

Natural Language Processing (NLP)

Natural Language Processing is a branch of AI that interacts with computers and human language. NLP enables AI systems to understand, interpret, and generate human language, making it essential for applications like speech recognition, language translation, and sentiment analysis.

Ontology

In AI, Ontology is a formal representation of knowledge that defines concepts, relationships, and properties within a specific domain. Ontologies help AI systems understand the meaning and context of data, facilitating accurate information retrieval and reasoning.

Pattern Recognition

Pattern Recognition involves the identification of regularities or recurring patterns in data. AI algorithms for pattern recognition are widely used in image and speech processing, anomaly detection, and data classification.

Quantum Computing

Quantum Computing is an emerging field of computing that leverages the principles of quantum mechanics to perform computations. Quantum computers have the potential to solve complex problems much faster than classical computers, including optimization and machine learning tasks.

Reinforcement Learning

Reinforcement Learning is a type of machine learning where an agent interacts with an environment and learns to make decisions through trial and error. The agent receives feedback through rewards or penalties, guiding its learning process to maximize cumulative rewards.

Semantic Web

The Semantic Web is an extension of the World Wide Web that aims to add meaning and context to web data, enabling computers to understand and process information more effectively. Semantic web technologies facilitate the exchange and integration of data across different applications and domains.

Turing Test

The Turing Test, proposed by Alan Turing, is a test of a machine's ability to exhibit intelligent behavior indistinguishable from a human's. If a machine can convince a human evaluator that it is human through natural language conversations, it is said to have passed the Turing Test.

Unsupervised Learning

Unsupervised Learning is a type of machine learning where the algorithm is trained on unlabeled data and seeks to identify patterns and structures in the data without explicit guidance. It is used for clustering, dimensionality reduction, and anomaly detection.

Virtual Assistant

A Virtual Assistant is an AI-powered software application designed to perform tasks or provide user information through voice or text interactions. Virtual assistants can assist with various tasks, such as setting reminders, answering questions, and controlling smart home devices.

Watson AI

Watson AI is IBM's suite of AI services and tools that leverage machine learning, natural language processing, and computer vision. Watson AI is used for diverse applications, including health care, customer support, and data analytics.

XGBoost

XGBoost is a popular open-source machine-learning library known for its efficiency and performance in handling structured data. It is widely used for regression, classification, and ranking tasks, especially in Kaggle competitions and real-world applications.

Zero-shot Learning

Zero-shot Learning is a type of machine learning where a model can classify data it has not seen during training. Zero-shot learning leverages transfer education and semantic relationships to predict novel classes based on the knowledge learned from seen lessons.

Conclusion

Congratulations on completing the A-to-Z glossary of Artificial Intelligence terms! You now have a comprehensive understanding of key concepts and terminologies in AI. Whether you're a beginner exploring the basics of AI or an experienced practitioner seeking to deepen your knowledge, this glossary will serve as a valuable resource to enhance your understanding and proficiency in the fascinating world of Artificial Intelligence. Embrace the power of AI and continue exploring its applications in various industries and domains!

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For whom would robotic animal dolls make a big difference?

those with Alzheimer's or dementia, struggling with isolation

How is Oppo marketing its Robotic dog Qric?

fully-fledged companion
has intelligent capabilities

The AI Cloud plan allows robotic dog Aibo to do what?

make interactions increasingly personal and unique

What can Dynamic 1, a robotic dog by Tecno, do?

many features to enhance owner interaction

What does CyberDog 2's AI-enhanced learning platform allow it to do?

**Joy for All Companion Pets**: These include robotic cats and dogs that purr, meow, bark, and respond to petting.

They're designed to


# The Rise and Decline of LiveJournal: A Comprehensive Report

## Introduction

LiveJournal stands as one of the pioneering social networking and blogging platforms that emerged in the early 2000s.

Unlike many contemporary blogging sites, LiveJournal offered unique interactive features that allowed users to build communities and maintain close connections with friends through distinctive functionalities.

This report examines the history of LiveJournal, from its creation by Brad Fitzpatrick to its peak popularity and eventual decline.

## The Origins and Creation of LiveJournal

LiveJournal was created in 1999 by Brad Fitzpatrick, a high school student from Minnesota, initially as a personal project to keep a journal and stay connected with friends.

What began as a simple journaling application for personal use quickly evolved into something much larger.

Fitzpatrick developed the platform with features that would later distinguish it from other blogging sites, including the ability for users to create friend groups, control privacy settings, and interact with others' posts through comments and communities.

# The Rise and Decline of LiveJournal: A Comprehensive Report

## Introduction

LiveJournal stands as one of the pioneering social networking and blogging platforms that emerged in the early 2000s.

Title:

Content: 27.
Tip: Try to navigate with ctrlK
1 The opening
2 Cows
3Al Omran
4 Women
5 The Table
6 The Cattle
7 The Norms
8 Anfal
9 Repentance
10 Yunus
11 hud.
12 Yusuf
13 Thunder
14 Ibrahim
15 stone
16 Bees
17 of the Isra
18 The Cave
19 Mary.
20 of them.
21 The Prophets
22 hajj
23 The Believers
24 The Light
25 teams
26 Poets
27 Ants
28 stories
29 The Spider.
30 rum
31 Luqman
32 The Prophets
33 parties
34 SBA
Thirty-five fater.
Thirty-six.
37 Rangers
38p
39 groups.
40 forgivers.
41 fired.
42 Shura
43 Ornamentation
44 Smoke
45 of them.
46.AlAhqaf
47 Muhammad.
48th Conquest
49 rooms.
50 BCE
51DATARIANS
52 phase
53 The Star
54 The Moon
55 The Merciful
56 The Incident
57 Iron
58 The Controversy
59 the crowd.
60 The Examiner
61 grade.
Friday, 26.
63 The Hypocrites
64 Taghaben
65 Divorce
66 Prohibition
The King 67
68 PEN
69 Attachment
70 Ladders
71 NOAH
72 gin.
73.Muzmil
74 Mudathir
75 of the day.
76 The Human
77 Transmitters
78 News
79 The conflicts
80 Abs
81 The Cupping
28 The Breakdown
Thirty-eight of them.
84 The Dissension
85 The Tower
86 The Raider
Top 87
88 Gashya
89 Fajr
90 Country
91 The Sun
92 nights.
93 The Sacrifice
94 Explanation
Ninety-five.
96 leeches.
97. Destiny.
98 evidence.
99 earthquake
100 Regular
101The Struggle
102 Reproduction
103 Afternoon
104Hamza
105 Elephant
106 Quraysh
107 Ma 'un
108 Kawthar
109 The Unbelievers
110 Victory
111 Almsad
112 Faithfulness
113-FALAK
114 people
Notes placeholders

Unlike many contemporary blogging sites, LiveJournal offered unique interactive features that allowed users to build communities and maintain close connections with friends through distinctive functionalities.

This report examines the history of LiveJournal, from its creation by Brad Fitzpatrick to its peak popularity and eventual decline.

Title:

Content: Omeros Corporation Reports Interim Data with Alternative Pathway Inhibitor OMS906 as Monotherapy in Patients with Paroxysmal Nocturnal Hemoglobinuria

2 hours ago

Omeros Corporation (Nasdaq: OMER) today announced positive results from a pre-specified interim analysis of its ongoing Phase 1b clinical trial of OMS906, the company’s lead MASP-3 inhibitor, in complement-inhibitor-naïve adults with paroxysmal nocturnal hemoglobinuria (PNH), a rare and life-threatening hemolytic blood disorder. Statistically significant and clinically meaningful improvements were observed in all measured markers of hemolysis, including hemoglobin (Hgb) and lactate dehydrogenase (LDH). To date, all patients have received only the lowest subcutaneous dose of OMS906 in this multidose trial.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20230425005573/en/

Figure 1: Mean Hemoglobin Change from Baseline Over Time (Graphic: Business Wire)

The baseline mean Hgb was 6.78 g/dL. By Day 57 (after 2 doses), all OMS906-treated patients achieved an increase in Hgb of 4.0 g/dL or more, with a mean change from baseline of 4.75 g/dL (p < 0.001). By Day 85 (following 3 doses), the mean Hgb was 12.4 g/dL with a mean change from baseline of 6.27 g/dL (p = 0.005). Improvement was rapid, with significant mean Hgb improvement of 0.88 g/dL (p = 0.003) seen at the first timepoint (Day 8), persistently increasing and remaining statistically significant through the last observed timepoint (Day 85). No patients required or received blood transfusions following OMS906 treatment initiation. Figure 1 demonstrates the Hgb improvement.

The mean baseline LDH was 1931, nearly 8 times the upper limit of normal. Statistically significant improvements in LDH were observed at Day 8, the first measured timepoint, with subsequent further and statistically significant reductions seen throughout the observation period.

OMS906 has been safe and well tolerated in this trial, consistent with Phase 1 safety observations in healthy subjects.

This single-arm, open-label clinical trial is evaluating the effect of once-monthly subcutaneous administration of OMS906 in patients with PNH. A total of 9 patients have been enrolled to date and all have been complement-inhibitor-treatment naïve. Co-existing conditions in these 9 patients include aplastic anemia, iron deficiency, myelodysplastic syndrome, and chronic renal failure. To date, 7 patients have received 2 or more doses of OMS906, 4 have received 3 or more doses, and 3 have received 4 doses.

Omeros has established a broad intellectual property estate directed to the inhibition of MASP-3. OMS906 is Omeros’ lead investigational humanized monoclonal antibody targeting MASP-3, the key and most upstream activator of the alternative pathway of complement. MASP-3 circulates in low concentrations and has slow turnover, allowing consistent and long-duration target coverage and pathway inhibition. Unlike other alternative and terminal complement pathway inhibitors on the market or in development, MASP-3 inhibition leaves the infection-fighting function of the classical pathway intact and, given that MASP-3 is known not to be an acute phase reactant, has less risk of breakthrough occurrence of the underlying disease. Inhibition of MASP-3, which is located upstream of complement component 5 (C5), C3, Factor B and Factor D, is expected to block both intra- and extravascular hemolysis in PNH.

Based on pharmacokinetic data in both healthy subjects and patients with PNH and the efficacy data observed in PNH patients, Omeros is targeting a dosing frequency of once quarterly either intravenously or subcutaneously. This dosing frequency and the extended OMS906 half-life should provide excellent patient convenience and compliance as well as additional protection from pharmacokinetic or pharmacodynamic breakthrough, further enhancing efficacy.

“These trial data are quite impressive,” said Eleni Gavriilaki, M.D., Ph.D., assistant professor of hematology at Aristotle University, Thessaloniki, Greece. “The effect of OMS906 in PNH, a disease that requires a high level of alternative pathway suppression to see clinical benefit, bodes well for the drug’s role in treating any disorder associated with dysregulation of the pathway. Achievement of once-quarterly dosing would be well received by physicians and their patients, representing a paradigm shift in the treatment of PNH and other alternative pathway disorders.”

Omeros’ second OMS906 clinical trial in PNH patients, treating those who have demonstrated an inadequate response to ravulizumab, a C5 inhibitor, just recently entered the OMS906 dosing phase and is ongoing. The OMS906 clinical trial in C3 glomerulopathy is also underway. Preliminary data from both of these trials are expected in the third quarter of this year. Omeros is also preparing to initiate a clinical trial assessing once-quarterly systemic delivery of OMS906, avoiding the need for intravitreal delivery, in patients with geographic atrophy, an advanced form of dry age-related macular degeneration (AMD).

“We are excited by the data resulting from this trial of treatment-naïve patients,” said Gregory A. Demopulos, M.D., Omeros’ chairman and chief executive officer. “The degree of hemoglobin improvement in such a severely anemic population is remarkable. The results observed to date demonstrate that OMS906 provides clinically effective inhibition of the alternative pathway, opening for the drug the wide range of alternative pathway-related diseases, a good number of which already have been clinically validated by agents on the market or in development. We believe that the strong proof-of-concept data generated, the scope of already-validated alternative pathway-related diseases, and the expected advantages of OMS906 over other alternative pathway inhibitors make clear the drug’s substantial commercial potential.”

Omeros will present detailed clinical trial data, including data in this preliminary analysis, at an upcoming international conference. Omeros is also amending both of its ongoing Phase 1b clinical trials in PNH to Phase 2, expanding enrollment, assessing planned higher doses, and making preparations to meet with regulatory authorities to discuss the clinical development plan to approval.

About Omeros Corporation

Omeros is an innovative biopharmaceutical company committed to discovering, developing and commercializing small-molecule and protein therapeutics for large-market and orphan indications targeting immunologic disorders including complement-mediated diseases, cancers, and addictive and compulsive disorders. Omeros’ lead MASP-2 inhibitor narsoplimab targets the lectin pathway of complement and is the subject of a biologics license application pending before FDA for the treatment of hematopoietic stem cell transplant-associated thrombotic microangiopathy (TA-TMA). Narsoplimab is also in multiple late-stage clinical development programs focused on other complement-mediated disorders, including IgA nephropathy, COVID-19, and atypical hemolytic uremic syndrome. Omeros’ long-acting MASP-2 inhibitor OMS1029 is currently in a Phase 1 clinical trial. OMS906, Omeros’ inhibitor of MASP-3, the key activator of the alternative pathway of complement, is advancing in clinical programs for paroxysmal nocturnal hemoglobinuria (PNH), complement 3 (C3) glomerulopathy and other related indications. For more information about Omeros and its programs, visit www.omeros.com.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934, which are subject to the “safe harbor” created by those sections for such statements. All statements other than statements of historical fact are forward-looking statements, which are often indicated by terms such as “anticipate,” “believe,” “could,” “estimate,” “expect,” “goal,” “intend,” “likely,” “look forward to,” “may,” “objective,” “plan,” “potential,” “predict,” “project,” “should,” “slate,” “target,” “will,” “would” and similar expressions and variations thereof. Forward-looking statements, including statements regarding anticipated safety and therapeutic benefits of Omeros’ drug candidates are based on management’s beliefs and assumptions and on information available to management only as of the date of this press release. Omeros’ actual results could differ materially from those anticipated in these forward-looking statements for many reasons, including, without limitation, unanticipated or unexpected difficulties in the conduct of planned research, unproven preclinical and clinical development activities, changes in our financial condition and results of operations, challenges associated with manufacture or supply of our investigational drug candidates, intellectual property claims, competitive developments, litigation, and the risks, uncertainties and other factors described under the heading “Risk Factors” in the company’s Annual Report on Form 10-K filed with the Securities and Exchange Commission on March 13, 2023. Given these risks, uncertainties and other factors, you should not place undue reliance on these forward-looking statements, and the company assumes no obligation to update these forward-looking statements, whether as a result of new information, future events or otherwise, except as required by applicable law.

View source version on businesswire.com: https://www.businesswire.com/news/home/20230425005573/en/

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## The Origins and Creation of LiveJournal

LiveJournal was created in 1999 by Brad Fitzpatrick, a high school student from Minnesota, initially as a personal project to keep a journal and stay connected with friends.

What began as a simple journaling application for personal use quickly evolved into something much larger.

Fitzpatrick developed the platform with features that would later distinguish it from other blogging sites, including the ability for users to create friend groups, control privacy settings, and interact with others' posts through comments and communities.