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China has set up the country’s largest-ever semiconductor investment fund to propel development of the domestic chip industry, the latest effort from Beijing to achieve self-sufficiency as the US seeks to restrict its growth.

Unlike his reform-era predecessors, Xi Jinping can’t count on rapid gains in prosperity to underpin support for Communist Party rule.

Книга " Математика и фокусы Геометрические головоломки" :

Профессор Шейн Фредерик придумал самый короткий тест на интеллект

Economist and professor at Columbia Jeffrey Sachs weighs in on the latest on the Russia-Ukraine war. #russia #ukraine About Rising: Rising is a weekday morning show with bipartisan hosts that breaks the mold of morning TV by taking viewers inside the halls of Washington power like never before. The show leans into the day's political cycle with cutting edge analysis from DC insiders who can predict what is going to happen. It also sets the day's political agenda by breaking exclusive news with a team of scoop-driven reporters and demanding answers during interviews with the country's most important political newsmakers. Follow Rising on social media: Website: Hill.TV Facebook: facebook.com/HillTVLive/ Instagram: @HillTVLive Twitter: @HillTVLive

Machine learning methods such as neural networks are quickly finding uses in everything from text generation to construction cranes. Excitingly, those same tools also promise a new paradigm for scientific discovery. In this Presidential Lecture, Miles Cranmer will outline an innovative approach that leverages neural networks in the scientific process. Rather than directly modeling data, the approach interprets neural networks trained using the data. Through training, the neural networks can capture the physics underlying the system being studied. By extracting what the neural networks have learned, scientists can improve their theories. He will also discuss the Polymathic AI initiative, a collaboration between researchers at the Flatiron Institute and scientists around the world. Polymathic AI is designed to spur scientific discovery using similar technology to that powering ChatGPT. Using Polymathic AI, scientists will be able to model a broad range of physical systems across different scales. More details:

The convergence of AI and robotics will unlock a wonderful new world of possibilities in everyday life, says robotics and AI pioneer Daniela Rus. Diving into the way machines think, she reveals how "liquid networks" — a revolutionary class of AI that mimics the neural processes of simple organisms — could help intelligent machines process information more efficiently and give rise to "physical intelligence" that will enable AI to operate beyond digital confines and engage dynamically in the real world. If you love watching TED Talks like this one, become a TED Member to support our mission of spreading ideas:

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