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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.

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.

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.

Using AI to analyze your income and expenses regularly is a great way to help you better understand where your money goes each month. Most modern financial institutions have apps that will automatically categorize your spending into expense types, making it easy for you to see how much of your paycheck ends up going toward rent/mortgage, food, transportation, entertainment, etc.

Technology is empowering women to build wealth through AI-assisted financial management. Women are now able to invest and manage their finances by using technology that automatically invests and manages money for them. This software provides a unique algorithm for each woman with personalized goals, risk tolerance, income, and age.

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Women in America are disproportionately under-served when it comes to financial products and services. They own less than 1% of the country’s wealth, and they hold even less of their own assets.

International diplomacy has traditionally relied on bargaining power, covert channels of communication, and personal chemistry between leaders. But a new era is upon us in which the dispassionate insights of AI algorithms and mathematical techniques such as game theory will play a growing role in deals struck between nations, according to the co-founder of the world’s first center for science in diplomacy.

Michael Ambühl, a professor of negotiation and conflict management and former chief Swiss-EU negotiator, said recent advances in AI and machine learning mean that these technologies now have a meaningful part to play in international diplomacy, including at the Cop26 summit starting later this month and in post-Brexit deals on trade and immigration.

Advanced analytics and other AI-driven tools and technologies have been transforming the way organizations function by harnessing valuable information from the largest datasets and providing important insights. With the continued growth of cognitive technologies and increasingly widespread adoption by many industries, what will the future of advanced analytics and AI adoption look like?

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Ask a manufacturing company what their current top headaches are, and supply chain disruptions and staff shortages will probably top the list. Vecna Robotics might have the solution for both.

Vecna Robotics develops autonomous mobile robots (AMRs) used in distribution, logistics, warehousing and manufacturing (the company first cut its teeth in hospitals and other health care facilities). Their secret sauce is the software; after all, explains founder and Chief Innovation Officer Daniel Theobald, robotics is 90–95% software. Vecna Robotics implants its software brains in existing equipment like forklifts and pallet trucks, making them autonomous – though the company does build some hardware of its own.

What sets Vecna Robotics apart is the combination of an ambitious vision with a pragmatic attitude, articulated in three key principles:

Singapore’s Defence Science and Technology Agency (DSTA) has inked a partnership with Philadelphia-based Ghost Robotics to identify uses cases involving legged robots for security, defence, and humanitarian applications. They will look to test and develop mobile robotic systems, as well as the associated technology enablers, that can be deployed in challenging urban terrain and harsh environments.

The collaboration also would see robots from Ghost Robotics paired with DSTA’s robotics command, control, and communications (C3) system, the two partners said in a joint statement released Thursday.

The Singapore government agency said its C3 capabilities were the “nerve centre” of military platforms and command centres, tapping data analytics, artificial intelligence, and computer vision technologies to facilitate “tighter coordination” and effectiveness during military and other contingency operations.