Lifeboat Foundation

Google’s new technique works by sending low-intensity ultrasonic probing signals via the speakers.

Researchers at Google have devised a technology that allows active noise-canceling (ANC) wearables to feature health-sensing applications.

The team utilized a technique called audio plethysmography (APG) in ANC wearables to monitor a user’s physiological data, such as heart rate and heart rate variability, without the need for additional sensors or sacrificing battery life.

Humane is set to reveal more about its mysterious new device on November 9th, but a new report from The Information says the gadget could have a high price.

The AI Pin, the new gadget / wearable device / projector / thing from the secretive startup Humane, might cost as much as $1,000 and may require a monthly subscription for data, according to The Information.

The mysterious device has been in development for years, but we got our first good look at it during co-founder Imran Chaudhri’s presentation at TED this year. In the presentation, he used then unnamed device to accept a phone call, get information about where to buy a gift, translate a sentence that is then spoken in an AI-made… More.

Continue reading “Humane’s AI Pin could cost $1,000 — and require a subscription” »

Link :- https://eng.unimelb.edu.au/ingenium/wearable-device-makes-me…f-a-finger

Researchers from the University of Melbourne and RMIT University have invented an experimental wearable device that generates power from a user’s bending finger and can create and store memories, in a promising step towards health monitoring and other technologies.

Multifunctional devices normally require several materials in layers, which involves the time-consuming challenge of stacking nanomaterials with high precision. This innovation features a single nanomaterial incorporated into a stretchable casing fitted to a person’s finger. The nanomaterial enables the device to produce power simply through the user bending their finger. The super-thin material also allows the device to perform memory tasks.

Continue reading “Wearable device makes memories and powers up with the flex of a finger” »

AI is so energy-hungry that most data analysis must be performed in the cloud New energy-efficient device enables AI tasks to be performed within wearables This allows real-time analysis and diagnostics for faster medical interventions Researchers tested the device by classifying 10,000 ele.

Forget the cloud.

Northwestern University engineers have developed a new nanoelectronic device that can perform accurate machine-learning classification tasks in the most energy-efficient manner yet. Using 100-fold less energy than current technologies, the device can crunch large amounts of data and perform artificial intelligence (AI) tasks in real time without beaming data to the cloud for analysis.

With its tiny footprint, ultra-low power consumption and lack of lag time to receive analyses, the device is ideal for direct incorporation into wearable electronics (like smart watches and fitness trackers) for real-time data processing and near-instant diagnostics.

Forget the cloud. Northwestern University engineers have developed a new nanoelectronic device that can perform accurate machine-learning classification tasks in the most energy-efficient manner yet. Using 100-fold less energy than current technologies, the device can crunch large amounts of data and perform artificial intelligence (AI) tasks in real time without beaming data to the cloud for analysis.

With its tiny footprint, ultra-low power consumption and lack of lag time to receive analyses, the device is ideal for direct incorporation into wearable electronics (like smart watches and fitness trackers) for real-time data processing and near-instant diagnostics.

To test the concept, engineers used the device to classify large amounts of information from publicly available electrocardiogram (ECG) datasets. Not only could the device efficiently and correctly identify an irregular heartbeat, it also was able to determine the arrhythmia subtype from among six different categories with near 95% accuracy.

Tina Woods, serving as Healthy Longevity Champion for the National Innovation Center for Aging, sets forth her vision for a blueprint for healthy longevity for all. Her emphasis is on reaping the “longevity dividend” and achieving five additional years of healthy life expectancy while reducing health and wellbeing inequality. Woods elaborates on the role of emerging technologies like AI, machine learning, and advanced data analysis in comprehending and influencing biological systems related to aging. She also underscores the crucial role of lifestyle changes and the consideration of socio-economic factors in increasing lifespan. The talk also explores the burgeoning field of emotion AI and its application in developing environments for better health outcomes, with a mention of “Longevity Cities,” starting with a trial in Newcastle. In closing, Woods mentions the development of a framework for incentivizing businesses through measurement of their contribution to health in three areas: workforce health, consumer health through products and services, and community health. Woods envisions a future where businesses impacting health negatively are disincentivized, and concludes with the hope that the UK’s healthy longevity innovation mission can harness longevity science and data innovation to improve life expectancy.

00:00:00 — Introduction, National Innovation Center for Aging.
00:00:56 — Discussion on stagnating life expectancy and UK’s life sciences vision.
00:03:50 — Technological breakthroughs (including AI) in analyzing biological systems.
00:06:22 — Understanding what maintains health & wellbeing.
00:08:30 — Hype, hope, important of purpose.
00:10:00 — Psychological aging and “brain capital.“
00:13:15 — Ageism — a barrier to progress in the field of aging.
00:15:46 — Health data, AI and wearables.
00:18:44 — Prevention is key, Health is an asset to invest in.
00:19:13 — Longevity Cities.
00:21:19 — Business for Health and industry incentives.
00:23:13 — Closing.

Continue reading “Harnessing AI & Longevity Science — A Blueprint for Lifespan Extension (Tina Woods)” »

Researchers at the University of Hong Kong (HKU) have designed an innovative pixelated, soft, color-changing system called a Morphable Concavity Array (MoCA).

Pixelated, soft, color-changing systems are malleable structures that can change color by manipulating light. They have applications in a wide range of industries, from medical bandages that change color if there is an infection, to foldable screens on smartphones and tablets, as well as wearable technology where sensors are integrated into the clothing fabric.

The research was co-directed by Professor Anderson Ho Cheung Shum from the Department of Mechanical Engineering at HKU, and Professor Mingzhu Li from the Institute of Chemistry, Chinese Academy of Sciences, and led by Dr. Yi Pan from the Department of Mechanical Engineering at HKU.

Humane, a stealthy software and hardware company, is clearly milking the media hype cycle for all it’s worth. The company’s origin dates all the way back to 2017, when it was founded by former Apple employees Bethany Bongiorno and Imran Chaudhri. In the intervening half-decade, the firm has been largely shrouded in mystery, as it has put together the pieces of a mystery wearable, which it promises will leverage AI in unique ways.

The company’s been buzzy since it first engaged with the media — well before it offered the slightest bit of insight into what it’s been working on. In spite — or perhaps because — of such mysteries, Humane is now an extremely well-funded early-stage startup.

At the tail end of 2020, it raised a $30 million Series A at a $150 million valuation. The $100 million B round arrived the following September, including Tiger Global Management, SoftBank Group, BOND, Forerunner Ventures and Qualcomm Ventures. It all seemed like a strong vote of confidence for the still stealthy firm. This March, it went ahead and raised another $100 million.