India on Monday became a founding member of an Artificial Intelligence (AI)-driven global body called the "Global Partnership on Artificial Intelligence (GPAI)" which aims to promote responsible and human centric-development of AI. Other countries involved include the US, UK, Australia, Canada, France, Germany, Italy, Japan, Mexico, New Zealand, South Korea and Singapore. GPAI will bring together leading experts from industry, civil society, governments and academia to collaborate on ways to show how AI can be leveraged to better respond to the present global crisis around COVID-19. The body will be supported by a Secretariat, to be hosted by the Organization for Economic Cooperation and Development (OECD) in Paris, as well as by two Centers of Expertise in Montreal and Paris. The news comes after India recently launched its National AI Strategy and National AI Portal that revolve around leveraging AI across education, agriculture, healthcare, e-commerce, finance, telecommunications and other such sectors.

The government and the Office for Students have announced that 2,500 places on artificial intelligence (AI) and data science conversion courses are now open to applicants. Some 1,000 scholarships will be open to students from "under-represented backgrounds", according to a statement from the Department for Digital, Culture, Media and Sport (DCMS). Oliver Dowden, DCMS secretary, said: "It is vital we increase diversity across our tech sector and give everyone with the aptitude and talent the opportunity to build a successful career. "This will help make sure artificial intelligence developed in the UK reflects the needs and make-up of society as a whole, which will also help mitigate the risk of biased technologies being developed." Funding has been allocated to 18 English universities, which, according to a DCMS statement, will deliver courses to a further 10 universities. In the venture, the government is working with the Office for Students, an independent regulator that reports to the Department for Education and was established in 2017. Together, they have created a fund of up to £24m to support the scholarships. These are open to non-STEM (science, technology, engineering and maths) graduates, as well as those with degrees in STEM subjects. A year ago, in June 2019, the department announced a similar tranche of £13.5m funding for up to 2,500 AI and data science conversion courses for professionals who have degrees in other disciplines, as well as 1,000 scholarships. A DCMS spokesperson confirmed: "People can now apply for places on the courses.

The original AI Dungeon was made just over a year ago, the result of a curious gamer, a hackathon, and the GPT-2 text transformer. Fast forward to the present day, and AI Dungeon has expanded into a unique example of creative AI technology. The game now boasts 1.5 million players, multiple genres for stories, and even multiplayer adventures. AI Dungeon is an AI-generated text adventure game in which players progress through the game by typing whatever they want. The game responds to player input thanks to a novel adaptation of GPT-2, an AI text transformer.

Model developed at MIT's Computer Science and Artificial Intelligence Laboratory could reduce false positives and unnecessary surgeries. Every year 40,000 women die from breast cancer in the U.S. alone. When cancers are found early, they can often be cured. Mammograms are the best test available, but they're still imperfect and often result in false positive results that can lead to unnecessary biopsies and surgeries. One common cause of false positives are so-called "high-risk" lesions that appear suspicious on mammograms and have abnormal cells when tested by needle biopsy. In this case, the patient typically undergoes surgery to have the lesion removed; however, the lesions turn out to be benign at surgery 90 percent of the time.

Not just overnight sleep tests, Artificial intelligence (AI) also has the potential to improve efficiencies and precision in sleep medicine, resulting in more patient-centred care and better outcomes, researchers have found. The electrophysiological data collected during polysomnography, the most comprehensive type of sleep study, is well-positioned for enhanced analysis through AI and machine-assisted learning, according to a new position statement from the American Academy of Sleep Medicine. "When we typically think of AI in sleep medicine, the obvious use case is for the scoring of sleep and associated events," said Cathy Goldstein, associate professor of sleep medicine and neurology at the University of Michigan. "This would streamline the processes of sleep laboratories and free up sleep technologist time for direct patient care." Because of the vast amounts of data collected by sleep centres, AI and machine learning could advance sleep care, resulting in a more accurate diagnosis, prediction of disease and treatment prognosis.

The Trump administration plans to reinterpret the deal between 34 nations in order to allow U.S. defence contractors to sell more American-made drones to various nations, three defence industry executives and a U.S. official told Reuters.

Stéphane Fymat, the head of that new business, said Honeywell expects the hardware and software market for urban air taxis, drone cargo delivery, and other drone businesses to reach $120 billion by 2030 and Honeywell's market opportunity would be about 20% of that. He declined to say how much of that market Honeywell was targeting to capture, adding only that the unit has hundreds of employees with many engineers. Honeywell doesn't build drones itself but provides autonomous flight controls systems and aviation electronics. The new business creation comes as the coronavirus pandemic creates a surge of interest in drone deliveries; Fymat said it's accelerating the drone cargo delivery programs of some of its partners. Some of Honeywell's customers include Intel-backed Volocopter, Slovenia-based small aircraft maker Pipistrel, which is developing an electric vertical take-off and landing aircraft for cargo delivery, and UK-based Vertical Aerospace, which has test flown a prototype vehicle last year that can carry 250 kilograms and fly at 80 kilometers an hour.

This year's Pokémon Go Fest will be a virtual gathering. Niantic, creator of the Pokémon Go game, plans to donate all of its proceeds – a minimum of $5 million – from the sales of Pokémon Go Fest virtual tickets ($14.99 each, available now in the in-app store) for the July 25-26 event to charity. Half of the proceeds will go to fund projects from Black developers creating augmented reality (AR) projects for the Niantic augmented reality platform with "the goal of shining a light on characters and story and points of view that validate the lives and experiences of the Black community," said John Hanke, founder and CEO of Niantic, in a recent briefing on the event. 'The Last of Us Part II':We played the new PlayStation video game. Here's what you should know'You're crazy if you're not using (it):How to master the business social network LinkedIn The other half will be used to benefit U.S. non-profit organizations supporting local communities rebuilding from the economic havoc wrecked by the coronavirus pandemic.

This month we discuss the role of arXiv and publishing in the field of artificial intelligence research. Joining the discussion this week are: Tom Dietterich (Oregon State University), Sabine Hauert (University of Bristol), Carles Sierra (CSIC) and Oskar von Stryk (Technische Universität Darmstadt). Sabine Hauert: Tom, you are one of the moderators for arXiv. Could you tell us a bit about how the process works? Tom Dietterich: Generally, authors have to submit a LaTeX source and it gets automatically regenerated and watermarked and then it goes to a panel of moderators.

WIRE)--New data presented today at the 80th American Diabetes Association Scientific Sessions – A Virtual Experience unveiled a new AI algorithm from January.ai. In an in-house study of 1,022 participants, the algorithm effectively predicted individualized glycemic response to specific meals in people with type 2 diabetes and pre-diabetes. This algorithm is critical to the company's goal of developing and offering a program that provides people with highly personalized food and activity recommendations that drive positive behavior change and improved health. In the Sugar Challenge study, January.ai After a few days of data-gathering to develop an individualized model, the algorithm accurately predicted glucose response to future meals in the absence of any further CGM data, a finding that supports further exploration of the impact of AI models with intermittent CGM use.