Of particular interest is the inter-atomic potential energy surface (PES).

Neural Information Processing Systems http://nips.cc/

Of particular interest is the inter-atomic potential energy surface (PES).

Neural Information Processing Systems http://nips.cc/

In the battle for AI supremacy, Meta has just made a major move. Mark Zuckerberg's firm – which owns Facebook, Instagram and WhatsApp – has lured a renowned AI expert away from rival Apple with an eye-watering pay offer. Over the next'several years', Ruoming Pang, originally from China, will earn more than 200 million ( 147 million) in his new role, a report reveals. The'unusually high' earnings package is among the highest of any corporate job, including CEO roles at the world's major banks, the report adds. Mr Pang becomes a high-ranking member of Meta's mysterious new'superintelligence' lab, thought to be based in California.

Artificial Intelligence is rapidly embedding itself within militaries, economies, and societies, reshaping their very foundations. Given the depth and breadth of its consequences, it has never been more pressing to understand how to ensure that AI systems are safe, ethical, and have a positive societal impact. This book aims to provide a comprehensive approach to understanding AI risk. Our primary goals include consolidating fragmented knowledge on AI risk, increasing the precision of core ideas, and reducing barriers to entry by making content simpler and more comprehensible. The book has been designed to be accessible to readers from diverse backgrounds. You do not need to have studied AI, philosophy, or other such topics. The content is skimmable and somewhat modular, so that you can choose which chapters to read. We introduce mathematical formulas in a few places to specify claims more precisely, but readers should be able to understand the main points without these.

Alex Galvagni, CEO of Age of Learning and a former artificial intelligence researcher with NASA, says advances in AI now make it possible to deliver to children "a personalized and supportive" experience in education. This photo combo shows the 2024 Nobel Prize winners in Physics, professor John Hopfield, left, of Princeton University, and professor Geoffrey Hinton, of the University of Toronto, on Tuesday, Oct. 8, 2024. FOUNDATIONAL WORK: Two pioneers of artificial intelligence -- John Hopfield and Geoffrey Hinton -- won the Nobel Prize in physics Tuesday for helping to create the building blocks of machine learning that are revolutionizing the way we work and live, but also create new threats for humanity. UBER EV: Ride-sharing platform Uber on Tuesday announced that the company is taking new steps to promote the use of electric vehicles (EVs) on its platform. 'BETTER JOB': The United Nations (U.N.) advisory body on artificial intelligence (AI) last week issued seven recommendations to address AI-related risks, but an expert told Fox News Digital the points do not cover critical areas of concern.

Alex Galvagni, CEO of Age of Learning and a former artificial intelligence researcher with NASA, says advances in AI now make it possible to deliver to children "a personalized and supportive" experience in education. Two pioneers of artificial intelligence -- John Hopfield and Geoffrey Hinton -- won the Nobel Prize in physics Tuesday for helping create the building blocks of machine learning that is revolutionizing the way we work and live but also creates new threats for humanity. Hinton, who is known as the godfather of artificial intelligence, is a citizen of Canada and Britain who works at the University of Toronto, and Hopfield is an American working at Princeton. "These two gentlemen were really the pioneers," said Nobel physics committee member Mark Pearce. "They ... did the fundamental work, based on physical understanding which has led to the revolution we see today in machine learning and artificial intelligence."

Today's young adults, including higher education students, are reporting increasingly high levels of depressive symptoms, stress, and loneliness, surpassing those of older cohorts [1, 4]. Studies link these mental health issues to academic pressures, future career concerns, achievement culture, the COVID-19 pandemic, and a lack of mental health resources [10, 11, 26]. On average, it takes about 7.8 days for college students to get an initial appointment with a mental health professional, but the following sessions could extend to several weeks due to a shortage of mental health services on campuses [20]. This shortage is reflected in the counselor-to-student ratio, which often falls short of the recommended 1:500 standard, with many colleges having only one counselor for every 1,000 to 1,500 students[7]. In addition to the shortage of mental health resources, college students are reluctant to seek traditional treatment for multiple reasons, such as financial cost, time constraints, and concerns about stigma[14],. These findings highlight the urgent need for innovative solutions, such as technology, to address mental health challenges in this demographic. Researchers are considering LLM-powered chatbots [16] for mental health support.

Electrically-driven soft robots based on piezoelectric actuators may enable compact form factors and maneuverability in complex environments. In most prior work, piezoelectric actuators are used to control a single degree of freedom. In this work, the coordinated activation of five independent piezoelectric actuators, attached to a common metal foil, is used to implement inchworm-inspired crawling motion in a robot that is less than 0.5 mm thick. The motion is based on the control of its friction to the ground through the robot's shape, in which one end of the robot (depending on its shape) is anchored to the ground by static friction, while the rest of its body expands or contracts. A complete analytical model of the robot shape, which includes gravity, is developed to quantify the robot shape, friction, and displacement. After validation of the model by experiments, the robot's five actuators are collectively sequenced for inchworm-like forward and backward motion.