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Archive for the ‘robotics/AI’ category: Page 1418

Oct 17, 2021

New fibers can make breath-regulating garments

Posted by in categories: biotech/medical, robotics/AI

“Robotic” textiles could help performers and athletes train their breathing, and potentially help patients recovering from post-surgery breathing changes.

A new kind of fiber developed by researchers at MIT and in Sweden can be made into clothing that senses how much it is being stretched or compressed, and then provides immediate tactile feedback in the form of pressure, lateral stretch, or vibration. Such fabrics, the team suggests, could be used in garments that help train singers or athletes to better control their breathing, or those help patients recovering from disease or surgery to recover their breathing patterns.

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Oct 17, 2021

What Role Can Artificial Intelligence Play in Fixing the Security Skills Shortage?

Posted by in categories: education, robotics/AI, security

Demand for highly desirable digital skills is hitting new heights. A recent Learning and Work Institute report noted that one in four (27%) employers now need the majority of their workers to have in-depth specialist knowledge in one or more technology areas. And 60% of those surveyed expect their reliance on advanced digital skills to increase over the next five years.

The skills gap is particularly prevalent in the security tech sector. A global study from the Center for Cyber Safety and Education predicted a terrifying shortage of 1.8 million security workers by 2022. This is made worse by the number of young people taking IT-related GCSEs in the UK, falling by 40% since 2015 (according to Learning and Work Institute data).

This scarcity of qualified professionals has inflated salaries, making it hard for firms that cannot afford to offer large paychecks and grand benefit packages to secure top talent.

Oct 17, 2021

Putting artificial intelligence at the heart of health care — with help from MIT

Posted by in categories: biotech/medical, health, robotics/AI

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.

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Oct 17, 2021

Criminals use fake AI voice to swindle UAE bank out of $35m

Posted by in category: robotics/AI

Plus: Microsoft Translator machine learning software now supports over 100 languages.

Oct 17, 2021

IoT news of the week

Posted by in categories: robotics/AI, satellites

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.

Oct 16, 2021

Artificial intelligence’s data problem meets AI’s people problem

Posted by in category: robotics/AI

Enterprises are learning that AI implementation ‘is not the field of dreams. It is not a build-it-and-they-will-come effort.’

Oct 16, 2021

AI Weekly: AI model training costs on the rise, highlighting need for new solutions

Posted by in category: robotics/AI

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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Oct 16, 2021

The data economy: How AI helps us understand and utilize our data

Posted by in categories: economics, robotics/AI

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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When this happens, it’s usually because the owner only shared it with a small group of people, changed who can see it or it’s been deleted.

Oct 16, 2021

This Robot Walks, Flies, Skateboards, Slacklines

Posted by in category: robotics/AI

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/

Continue reading “This Robot Walks, Flies, Skateboards, Slacklines” »

Oct 16, 2021

AI Can Detect Signals for Mental Health Assessment

Posted by in categories: biotech/medical, health, neuroscience, robotics/AI

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.