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Is Artificial Intelligence the Future of Mental Health?


What if you could interact with a therapist, learn new skills to improve your well-being and gain access to information that would normally be learned in therapy for a fraction of the cost, or for free, without leaving your home? The prospect is certainly alluring, and with Artificial Intelligence (AI) technology, there is reason to take this prospect seriously. AI technology for mental health was first developed in the 1960s with ELIZA, a simple computer program. AI has since been developed for use in other areas, including assisting therapists with diagnosing depression and PTSD in the US armed forces. Recently, the integration of AI with smartphone technology had opened up opportunities to provide mental health support that is not possible with traditional in-person therapy.

Elon Musk's Neuralink - Can It Make Humans Compete with AI?


Elon Musk is renowned for his innovative mind and unceasing desire to improve multiple facets of life such as transportations, space exploration, cities, and now, the human brain. The famed CEO and inventor announced the Neuralink brain microchip that could give humans equal footing with AI technology. Elon Musk is well known for his multiple ventures. Recently the tech genius announced plans to construct a Starbase--a new town in Southern Texas that will function as a miniature Cape Canaveral. Garry Kitchen, a pioneer gamer and engineer, tells The Post.

What happened when Waymo reenacted real fatal car crashes with its autonomous vehicle


Waymo's autonomous vehicles were put through the gnarly paces of 72 simulations of fatal crashes for safety research. The Google spinoff company, which operates its self-driving car service in the area just outside Phoenix, released a study Monday showing how its autonomous vehicles would respond during unsafe driving situations. The company collected crash information from 72 real fatal crashes with human drivers at the wheel that took place in the Chandler, Arizona, area between 2008 and 2017. Researchers reconstructed them in a virtual simulation, with the Waymo vehicle replacing both the car that initiated the crash (called "the initiator" in the study) and the car responding ("the responder"). With Waymo replaced virtually in both positions of the crash, the company ran enough simulations (91 of them, to be exact, since some of the crashes involved just one car) to understand how its autonomous platform would respond in the situation.

Amazon opens till-free grocery store in London - the online retailer's first physical store outside the US


Amazon will open its first physical store outside the US today - but the shopping experience will be a bit different. Amazon Fresh is in Ealing, London, and it is much smaller than a supermarket. It will sell prepared meals, some groceries, and Amazon devices, as well as having a counter for collecting and returning online orders. Shoppers will scan a smartphone QR code to open the store's gates and their purchases will be tallied using ceiling cameras and shelf weight sensors. The technology can also register when someone has put an item back on the shelf, if they change their mind, for instance.

How Artificial Intelligence Can Slow the Spread of COVID-19 - Knowledge@Wharton


A new machine learning approach to COVID-19 testing has produced encouraging results in Greece. The technology, named Eva, dynamically used recent testing results collected at the Greek border to detect and limit the importation of asymptomatic COVID-19 cases among arriving international passengers between August and November 2020, which helped contain the number of cases and deaths in the country. The findings of the project are explained in a paper titled "Deploying an Artificial Intelligence System for COVID-19 Testing at the Greek Border," authored by Hamsa Bastani, a Wharton professor of operations, information and decisions and affiliated faculty at Analytics at Wharton; Kimon Drakopoulos and Vishal Gupta from the University of Southern California; Jon Vlachogiannis from investment advisory firm Agent Risk; Christos Hadjicristodoulou from the University of Thessaly; and Pagona Lagiou, Gkikas Magiorkinis, Dimitrios Paraskevis and Sotirios Tsiodras from the University of Athens. The analysis showed that Eva on average identified 1.85 times more asymptomatic, infected travelers than what conventional, random surveillance testing would have achieved. During the peak travel season of August and September, the detection of infection rates was up to two to four times higher than random testing.

Google's ex-boss tells the US it's time to take the gloves off on autonomous weapons


In brief US government should avoid hastily banning AI-powered autonomous weapons and instead step up its efforts in developing such systems to keep up with foreign enemies, according to the National Security Commission on AI. The independent group headed by ex-Google CEO Eric Schmidt and funded by the Department of Defense has published its final report advising the White House on how best to advance AI and machine learning to stay ahead of its competitors. Stretching over 750 pages, the report covers a lot of areas, including retaining talent, the future of warfare, protecting IP, and US semiconductor supply chains. The most controversial point raised by Schmidt and the other advisors was that America should not turn its back on autonomous AI weapons. The US government should actually be building its own systems to deter other countries from wreaking havoc, it argued.

Yoshua Bengio & Why He Is Bullish About Causal Learning


Recently, Yoshua Bengio and researchers from the University of Montreal, the Max-Planck Institute for Intelligent Systems and Google Research demonstrated how causal representation learning contributes to the robustness and generalisation of machine learning models. The team reviewed the fundamental concepts of causal inference and related them to crucial open problems of machine learning, including transfer and generalisation. Attaining general intelligence is one of the key goals in machine learning and deep learning. As things stand, the machine learning techniques are limited at some crucial feats where natural intelligence excels. These include transfer to new problems and any form of generalisation.

Intel, EXOS Pilot 3D Athlete Tracking with Pro Football Hopefuls


What's New: EXOS, a leader in the field of advancing human performance, is piloting Intel's 3D Athlete Tracking (3DAT) technology in training aspiring professional athletes to reach their peak performance. As pro days loom, these athletes seek to take their game to the next level with 3DAT by leveraging artificial intelligence (AI) to gain actionable insights about their velocity, acceleration and biomechanics when sprinting. This press release features multimedia. Two-time Olympic gold medalist Ashton Eaton works as a product development engineer in Intel's Olympic Technology Group. "There's a massive gap in the sports and movement field, between what people feel when they move and what they actually know that they're doing," says Eaton, who won gold medals in the decathlon.

'Deep learning among top in-demand skills of 2020 in India' - Express Computer


Deep learning and data engineering are top nanodegree programmes showing the country's growing interest towards artificial intelligence (AI) and data, says a new report. According to a report by silicon-valley-based Udacity, Karnataka holds the lion's share for maximum nanodegree programmes in 2020. As much as 24 per cent demand for deep learning and 34 per cent of the total demand for data engineering nanodegree programmes comes from Karnataka, the company said in a statement. The demand for AI product manager (38 per cent) and product manager (60 per cent) is also the highest in the state. Data science and deep learning are the most popular nanodegree programmes in Maharashtra. More than 40 per cent of the enrollments come from this state.

Happy International Women's Day!


To celebrate International Women's Day, we take a look back over the past year of AIhub content and highlight some of our favourite articles, interviews, podcasts and videos, by, or featuring, women in the field. Falaah Arif Khan is an engineer/scientist by training and an artist by nature. She is currently Artist-in-Residence at the Center for Responsible AI at New York University. When we interviewed Falaah in 2020 she had just completed her first comic book, Meet AI. She has since teamed up with other AI researchers on other exciting projects.