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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/

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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

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Continue reading “This Robot Walks, Flies, Skateboards, Slacklines” | >

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.

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Latest scientific findings suggest the ancestral Native American population does not originate in Japan, as believed by many archaeologists.

A widely accepted theory of Native American origins coming from Japan has been attacked in a new scientific study, which shows that the genetics and skeletal biology “simply does not match-up.”

The findings, published on October 12 2021, in the peer-reviewed journal PaleoAmerica, are likely to have a major impact on how we understand Indigenous Americans’ arrival to the Western Hemisphere.

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Last year Chinese fishing vessels sailed to the edge of the Galapagos Islands’ territorial waters. This summer, the Associated Press and Spanish language broadcaster Univision documented the scale of Chinese fishing off the coast of South America.

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#Galapagos #Fishing

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I think we should approach from two angles: 1. encourage and fund through government to have everyone who can to put solar on their home/building/whatever. 2. Also have the massive sites dedicated to solar and wind harvesting. Seems we could be totally solar by mid 2030s.

Rooftop solar panels are up to 79% cheaper than they were in 2010. These plummeting costs have made rooftop solar photovoltaics even more attractive to households and businesses who want to reduce their reliance on electricity grids while reducing their carbon footprints.

But are there enough rooftop surfaces for this technology to generate affordable, low-carbon energy for everyone who needs it? After all, it’s not just people who own their own houses and want to cut their bills who are in need of solutions like this. Around 800 million people globally go without proper access to electricity.

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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.

Continue reading “High Voltage Spot Inspections at National Grid” | >

A new research paper written by a team of academics and computer scientists from Spain and Austria has demonstrated that it’s possible to use Facebook’s targeting tools to deliver an ad exclusively to a single individual if you know enough about the interests Facebook’s platform assigns them.

The paper — entitled “Unique on Facebook: Formulation and Evidence of (Nano)targeting Individual Users with non-PII Data” — describes a “data-driven model” that defines a metric showing the probability a Facebook user can be uniquely identified based on interests attached to them by the ad platform.

The researchers demonstrate that they were able to use Facebook’s Ads manager tool to target a number of ads in such a way that each ad only reached a single, intended Facebook user.

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