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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.

Read the full story: https://www.bostondynamics.com/spot/resources/national-grid.

#BostonDynamics #NationalGrid

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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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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.

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