Trump launches'Genesis Mission' to harness AI for scientific breakthroughs United States President Donald Trump has unveiled a national initiative to mobilise artificial intelligence (AI) for accelerating scientific breakthroughs. Trump signed an executive order on Monday to establish "The Genesis Mission", the latest iteration of his administration's aggressive strategy for spurring AI development through deregulation, infrastructure investment and public-private collaboration. Under the initiative, US supercomputers and data resources will be integrated to create a "closed-loop AI experimentation platform", according to the order. The White House, which likened the initiative to the Apollo programme that put the first man on the moon, said priority areas of focus would include the "greatest scientific challenges of our time," such as nuclear fusion, semiconductors, critical materials and space exploration. Michael Kratsios, the White House's top science adviser, said the initiative took a "revolutionary approach" to scientific research.

For many of the people served by the humanitarian sector, 2024 has been the worst of times. The most recent UN estimates of those forced to flee violence and disaster is a record of 120 million, a figure that has doubled in the past decade. The broader figure of those in humanitarian need, 300 million people, has been swelled by increasingly violent conflict and growing impacts of the climate crisis. Progress in meeting the UN's Sustainable Development Goals has also been either stagnating or declining in more than half of the fragile countries. A child born in those countries has a tenfold greater chance of being in poverty than one born in a stable state.

Artificial intelligence may soon affect more than half of all jobs in the UK, a new study from the IMF has warned. Across the world, 40 per cent of all occupations are likely to be affected by AI. But in advanced economies like the UK, the impact is expected to be even more pronounced, with 60 per cent of all workers feeling the impact. The IMF warns that, even where AI's effects are positive, computer automation is likely to drive wealth inequality. Highly paid professions will see AI boost their wages while lower paid roles are at a significant risk of pay cuts and lay-offs.

Manufacturer Nvidia recently welcomed the 1000th health care AI startup company to its Nvidia Inception program, a fast-track support for companies seeking to use machine learning for their ventures. Today the firm officially declared The Nvidia Inception Alliance for Healthcare, which gives members access to resources, particularly for the healthcare business, the GE Healthcare Edison Developer Program. Nvidia Inception is thought of as personalized service for startup companies working with machine learning, providing training and technical assistance with artificial intelligence, in addition to early access to the manufacturer's cutting edge hardware. The Alliance for Healthcare specifically introduces a host of benefits for FDA-approved Premier members, namely access to Nuance AI Marketplace for Diagnostic Imaging, a database of confirmed medical models for coaching algorithms. Nvidia will probably be hosting a particular address open to the public tomorrow at 5 pm CT (11 am Monday GMT) to discuss how the program is working with healthcare professionals in fields ranging from radiology and information science, which has the capacity to automate mundane, repetitive jobs in medical labs and much more rapidly interpret complex information, to the growth of medical devices, including prosthetic limbs that accurately forecast the user's moves.

This article is co-authored with Jonathan Wong, Chief of Technology & Innovation, United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP). Electronic medical records are examined by a doctor, a demonstration of remote medicine. As the Fourth Industrial Revolution evolves, frontier technologies such as artificial intelligence (AI) are reshaping our economies, societies and the environment. AI is opening up economic opportunities with companies large and small empowered to grow their businesses. From a social perspective, AI provides a host of benefits.

IT organizations across the board are scrambling with new and different priorities in response to changes brought by the COVID-19 coronavirus pandemic. Supply chains have been disrupted, customer service needs may have changed, and employees may be working from home. But the biggest changes are probably at IT organizations within government and healthcare organizations in particular. These organizations are tackling the pandemic head-on, applying technology to solve issues around supply chains for PPE and ventilators, tracking the spread of the disease, performing contact tracing on confirmed cases of the virus, and more. There's a lot to do, and there's an urgency to do it all last month.

Housed at TED and supported by leading social impact advisor The Bridgespan Group, The Audacious Project is a collaborative funding initiative that's catalyzing social impact on a grand scale by convening funders and social entrepreneurs, with the goal of supporting bold solutions to the world's most urgent challenges. Among this year's carefully selected change-makers is Jim Collins and a team at MIT's Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic), including co-principal investigator Regina Barzilay. The funding provided through The Audacious Project will support the response to the antibiotic resistance crisis through the development of new classes of antibiotics to protect patients against some of the world's deadliest bacterial pathogens. "The work of Jim Collins and his colleagues is more relevant now than ever before," says Anantha P. Chandrakasan, dean of the MIT School of Engineering and the Vannevar Bush Professor of Electrical Engineering and Computer Science. "We are grateful for the commitment from The Audacious Project and its contributors, to both support and foster the research around AI and drug discovery, and to join our efforts in the School of Engineering to realize the potential global impact of this incredible work."

The Audacious Project commitment will support the development of new classes of antibiotics to treat the world's deadliest bacterial pathogens. Housed at TED and supported by leading social impact advisor The Bridgespan Group, The Audacious Project is a collaborative funding initiative that's catalyzing social impact on a grand scale by convening funders and social entrepreneurs, with the goal of supporting bold solutions to the world's most urgent challenges. Among this year's carefully selected change-makers is Jim Collins and a team at MIT's Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic), including co-principal investigator Regina Barzilay. The funding provided through The Audacious Project will support the response to the antibiotic resistance crisis through the development of new classes of antibiotics to protect patients against some of the world's deadliest bacterial pathogens. "The work of Jim Collins and his colleagues is more relevant now than ever before," says Anantha P. Chandrakasan, dean of the MIT School of Engineering and the Vannevar Bush Professor of Electrical Engineering and Computer Science.

The term Artificial Intelligence (AI) was coined by John McCarthy in 1956. AI is defined in the Oxford English Dictionary as "the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages." Artificial Intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. AI is increasingly being used in the defence sector to boost the military capabilities in many developing nations of the world. In a December 2019 strategic research paper entitled, "A Candle in the Dark: US National Security Strategy for Artificial Intelligence", Stephen Rodriguez and Tate Nurkin shed more light on this aspect.

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