Artificial intelligence is transforming industries around the world — and health care is no exception. A recent Mayo Clinic study found that AI-enhanced electrocardiograms (ECGs) have the potential to save lives by speeding diagnosis and treatment in patients with heart failure who are seen in the emergency room.
A dedicated practitioner, Adedinsewo is a Mayo Clinic Florida Women’s Health Scholar and director of research for the Cardiovascular Disease Fellowship program. Her clinical research interests include cardiovascular disease prevention, women’s heart health, cardiovascular health disparities, and the use of digital tools in cardiovascular disease management.
A company building chips designed for AI at the edge gets $136M: There’s no shortage of funds for any chip firm building processors for AI. After a desert of chip funding in the mid-aughts, I’m grateful for it, but it’s an overwhelming amount of money…
Tiny satellites and radios made for tracking big animals: This article is really interesting and shows just how small but powerful tracking devices have become when it comes to keeping an eye on the animal population. For example, not too long ago a tracking device meant for specific sharks would cost $10,000. These days? Open source projects combined with low-cost radios drop the price to just over a tenth of that. These aren’t just for the biggest of the big, though. One researcher at Yale has attached small “backpacks” weighting just 3.5 grams to 55 American robins to follow their migration path and time. Aside from the decreased price of the radio technology, it’s impressive how this community is working together on a common problem. (Washington Post) — Kevin C. Tofel.
This week, Microsoft and Nvidia announced that they trained what they claim is one of the largest and most capable AI language models to date: Megatron-Turing Natural Language Generation (MT-NLP). MT-NLP contains 530 billion parameters — the parts of the model learned from historical data — and achieves leading accuracy in a broad set of tasks, including reading comprehension and natural language inferences…
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Similar to the relationship between an engine and oil, data and artificial intelligence (AI) are symbiotic. Data fuels AI, and AI helps us to understand the data available to us. Data and AI are two of the biggest topics in technology in recent years, as both work together to shape our lives on a daily basis…
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This is a #robot that walks, flies, #skateboards, #slacklines, and might do much more one day. A portion of this video was sponsored by Bluehost. Start building a website with Bluehost today. Use my link to receive more than 65% off: https://bluehost.com/track/veritasium #Bluehost #BHcreator.
Thanks to Prof. Soon-Jo Chung and everyone at the Aerospace Robotics and Control Lab at Caltech for the tour! https://aerospacerobotics.caltech.edu/
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ References: Kim, K., Spieler, P., Lupu, S., Ramezani, A., Chung, S. (2021). A bipedal walking robot that can fly, slackline, and skateboard. Science Robotics. — https://www.science.org/doi/10.1126/scirobotics.abf8136
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ Special thanks to Patreon supporters: S S, Andrew, Benedikt Heinen, Diffbot, Micah Mangione, MJP, Gnare, Dave Kircher, Edward Larsen, Burt Humburg, Blake Byers, Dumky, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Mac Malkawi, Michael Schneider, Big Badaboom, Ludovic Robillard, jim buckmaster, Juan Benet, Ruslan Khroma, Robert Blum, Richard Sundvall, Lee Redden, Vincent, Marinus Kuivenhoven, Alfred Wallace, Clayton Greenwell, Michael Krugman, Cy ‘kkm’ K’Nelson, Sam Lutfi, Ron Neal.
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ Written by Derek Muller. Filmed by Derek Muller, Trenton Oliver, and Emily Zhang. Edited by Trenton Oliver. Produced by Derek Muller, Petr Lebedev, and Emily Zhang.
AI can detect signals that are informative about mental health from questionnaires and brain scans.
A study published today by an interdisciplinary collaboration, directed by Denis Engemann from Inria, demonstrates that machine learning from large population cohorts can yield “proxy measures” for brain-related health issues without the need for a specialist’s assessment. The researchers took advantage of the UK Biobank, one of the world’s largest and most comprehensive biomedical databases, that contains detailed and secure health-related data on the UK population. This work is published in the open access journal GigaScience.
Mental health issues have been increasing worldwide, with the WHO determining that there has been a 13% increase in mental health conditions and substance abuse disorders between 2007 and 2017. The burden these diseases place on society is extensive, negatively impacting nearly every area of life: school, work, family, friends, and community engagement. Among the many issues impeding the ability of society to address these disorders is that diagnoses of such health issues requires specialists; the availability of which ranges drastically across the globe. The development of machine learning methodology for the purposes of facilitating mental-health assessments could provide a much needed additional means to help detect, prevent and treat such health issues.
Energy giant National Grid is using Spot to keep employees safe and ensure uptime at a critical facility.
National Grid introduced Spot into the thyristor hall at Sandy Pond Converter Station just a few days before the facility’s shutdown period. The inspection robot was equipped with both a high-resolution 30X optical zoom pan/tilt/zoom camera and an infrared (IR) thermal camera to detect signs of potential problems.
A top priority at the facility is the monitoring of equipment conditions. Because the valve hall is water-cooled, any leaks could cause issues leading to equipment overheating and malfunction. While stationary cameras could detect signs of water leaks in certain locations, there’s no way for those cameras to cover every angle of the valve hall.
With the optical zoom camera, Spot was able to inspect the equipment during operation. Just as importantly, the IR camera allowed the robot to detect “hot spots,” where the equipment is hotter in some areas than others.
Read the full story: https://www.bostondynamics.com/spot/resources/national-grid.
According to this guy, the argument will be that the AI is needed to make split second decisions, and will gradually increase from there.
Retired U.S. Army General Stanley McChrystal joins ‘Influencers with Andy Serwer’ to share his biggest fears regarding artificial intelligence.
ANDY SERWER: I want to ask you about AI, artificial intelligence, because you wrote, “ceding the ability to manage relationships to an algorithm, we rolled a dangerous die.” What are the specific uses of AI that concern you and then we can talk about AI weapons and that’s really scary stuff. But let’s talk about it generally and then specifically with regard to the military.
STANLEY MCCHRYSTAL: Let’s start by something we all get. We call company X and we get this recording that says if you’re calling about so-and-so hit one. If you’re calling about so-and-so hit two. And you go for a while and by the time you get to 8 and they didn’t cover your problem, you’re furious. And you just want to talk to someone. You want somebody to take your problem for you.
