I walk into the Rumsey Collection for the third and possibly final time in my Stanford career. The collection houses some 150 ...

The growth of influencers in the longevity medicine space is rapidly expanding, but also the need for physician, regulatory ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Researchers at ETH Zurich have developed a method to generate what they describe as ...

In computer science, the research area of algorithms investigates formal procedures for solving computational problems, emphasizing correctness, efficiency, and resource optimization. It encompasses ...

Teaching robots to manipulate objects with human-like dexterity remains one of the biggest challenges ...

Teaching robots to manipulate objects with humanlike dexterity has long been one of robotics' toughest challenges. Tasks such ...

Know how to get the most out of your predictive tools. by Michael Luca, Jon Kleinberg and Sendhil Mullainathan Most managers’ jobs involve making predictions. When HR specialists decide whom to hire, ...

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Khadija Khartit is a strategy, investment, and funding expert, and ...

Scientific Organizers: Clay Córdova (Chicago), David Poland (Yale), Sasha Zhiboedov (CERN) The program will consist of a pedagogical series of lectures given over a four-week period, three or four ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...