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How an AI robot can help seniors battle loneliness - MedCity News

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Powered by AI, ElliQ is a voice-operated robotic care companion designed to foster independence and provide support for older adults. About 1 in 4 adults 65 and older are considered to be socially isolated, putting them at increased risk for a wide range of health conditions, from dementia to heart disease and stroke. Many don't have family and friends who live nearby or visit regularly; and the number of professional caregivers is failing to keep up with demand as the U.S. population ages. Responding to the need, the New York State Office for the Aging announced Wednesday that it is partnering with Intuition Robotics to bring an AI robotic care companion into the homes of 800 older adults as part of the state's efforts to battle social isolation and support aging in place. NYSOFA is working with local offices for the aging and other partners to identify older adults who would most benefit from ElliQ by Intuition Robotics, which the Israeli company describes as first-ever proactive and empathetic AI robotic care companion.


Introduction to Probabilistic programming - DataScienceCentral.com

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Last week, I saw a nice presentation on Probabilistic Programming from a student in Iran (link below). I am interested in this subject for my teaching at the #universityofoxford. In this post, I provide a brief introduction to Probabilistic programming. Probabilistic programming is a programming paradigm designed to implement and solve probabilistic models. They unite probabilistic modeling and traditional general-purpose programming.


Top 5 smart personal home robots you can buy in 2022

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Robots are not limited to industrial works anymore! Thanks to the integration of artificial intelligence and voice recognition, robots are slowly invading our smart homes embedded with devices like wireless security cameras, Smart TVs, Amazon's Alexa, Amazon Echo, Google Assistant, Philips Hue lightbulbs, Ecobee4, etc. And it is not a secret that machine learning software development is on rise now. A lot of clients are coming to develop personalized ML solutions for their businesses. ABI Research predicts that this integration will grow, and by 2024 that over 79 million homes in the world will have a robot in the house.


Robotic rehabilitation glove wins Microsoft's twentieth Think about Cup for pupil inventors – TechCrunch - Channel969

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Microsoft's Think about Cup is one thing I sit up for yearly. The scholars and younger entrepreneurs who submit their extraordinarily early stage initiatives to this world competitors are just like the seeds of future startups and doubtlessly world-changing initiatives. This yr's winner, V Bionic, created a robotic glove to assist sufferers with neurological harm recuperate quicker at a fraction of the value of different choices. The crew, from Saudi Arabia, was led by Zain Samdani, who though he's a pupil has been researching and inventing issues within the robotics class for years. The remainder of the crew are equally on the begins of fascinating careers within the trade.


Artificial Intelligence in the UAE

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In the third of a series of blogs from our global offices, we provide a overview of key trends in artificial intelligence in the United Arab Emirates. What is the UAE's strategy for Artificial Intelligence? In 2017, the UAE appointed a Minister of State for Artificial Intelligence, H.E. Omar Bin Sultan Al Olama, and issued a national AI strategy seeking to become one of the world leaders in AI by 2031. To implement the national AI strategy, the UAE established an Office for Artificial Intelligence, which is responsible for enhancing government performance by investing in AI technologies and tools for application across various sectors. The UAE Council for Artificial Intelligence and Blockchain was also established to provide advice to the government on the adoption and use of AI, to design policies that promote an AI-friendly ecosystem, to advance research and to promote private–public collaboration in that space.


Building a culture of pioneering responsibly

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As chief operating officer of one of the world's leading artificial intelligence labs, I spend a lot of time thinking about how our technologies impact people's lives – and how we can ensure that our efforts have a positive outcome. This is the focus of my work, and the critical message I bring when I meet world leaders and key figures in our industry. For instance, it was at the forefront of the panel discussion on'Equity Through Technology' that I hosted this week at the World Economic Forum in Davos, Switzerland. Inspired by the important conversations taking place at Davos on building a greener, fairer, better world, I wanted to share a few reflections on my own journey as a technology leader, along with some insight into how we at DeepMind are approaching the challenge of building technology that truly benefits the global community. In 2000, I took a sabbatical from my job at Intel to visit the orphanage in Lebanon where my father was raised. For two months, I worked to install 20 PCs in the orphanage's first computer lab, and to train the students and teachers to use them.


Downed drone in Yemen's capital kills three

Al Jazeera

At least three people have been killed in Yemen's capital Sanaa when an armed drone crashed in a busy neighbourhood after being shot down, Houthi officials said. The health minister in the rebel Houthi administration that runs Sanaa said another three people were injured on Monday when the drone landed in a commercial area, the official news agency reported. In a statement, the Houthis said that their air defence system downed the drone and that it belonged to the Saudi-led coalition, which backs the Yemeni government in the country's war. "Our air defences downed a Chinese-made CH4 armed spy plane belonging to the Saudi air force with a surface-to-air missile," Houthi military spokesman Yahya Saree said on Twitter. Before a while,Our air defenses shot down a Chinese-made armed spy plane CH4 belonging to the Saudi Air Force with a locally-made surface-to-air missile, while violating the truce and carrying out hostile acts in the airspace of the capital, Sana'a.


An AI-Based Approach to Monitor, Expose, and Counter Anti-Hindu Hate

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MyIndMakers enables the exchange of Global Ideas and Solutions from India. All day news updates related to Business, Hindu, Hinduism, India, Indic, Culture, Travel, Religion, Politics, Foreign Policy, Modi, Swami, BJP, Congress, Trump, Biden, Israel, Jihad, Christianity, China, Japan, Book Reviews, Movie Reviews, Indian Artciles, Blogs, Interviews, Podcasts, Videos, MyIndBook, MyIndMakers, myind.net,Hindumisia, hindumisia.ai, AI-based approach, Deep Learning, Anti-Defamation League, Online Hate Index


About

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His Excellency Omar Sultan Al Olama has been appointed as Minister of State for Artificial Intelligence in October 2017, and then was appointed as Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications in July 2020. His responsibilities include enhancing the government performance levels by investing in the latest technologies and tools of artificial intelligence and applying them in various sectors. His Excellency Omar Sultan Al Olama is Spearheading UAE efforts to be positioned as a global leader in Digital economy, With the focus to enhance UAEs digital economy contribution to the GDP. His Excellency is also focused on strengthening the UAE's position as a global reference in remote work applications. His Excellency Omar Sultan Al Olama is currently the Managing Director of the World Government Summit.


A Deeper Understanding of Deep Learning

Communications of the ACM

Deep learning should not work as well as it seems to: according to traditional statistics and machine learning, any analysis that has too many adjustable parameters will overfit noisy training data, and then fail when faced with novel test data. In clear violation of this principle, modern neural networks often use vastly more parameters than data points, but they nonetheless generalize to new data quite well. The shaky theoretical basis for generalization has been noted for many years. One proposal was that neural networks implicitly perform some sort of regularization--a statistical tool that penalizes the use of extra parameters. Yet efforts to formally characterize such an "implicit bias" toward smoother solutions have failed, said Roi Livni, an advanced lecturer in the department of electrical engineering of Israel's Tel Aviv University.