As nuclear energy ramps up to move towards decarbonization goals, machine learning and AI techniques offer potential to speed up new reactor design and improve safety of the existing fleet. However, the rigorous safety standards of the U.S. Nuclear Regulatory Commission (NRC) may slow the adoption of the fast-moving technology.As nuclear energy ramps up to move towards decarbonization goals, machine learning and AI techniques offer potential to speed up new reactor design and improve safety of the existing fleet. However, the rigorous safety standards of the U.S. Nuclear Regulatory Commission (NRC) may slow the adoption of the fast-moving technology.Engineering[#item_full_content]

Recent advances in robotics and artificial intelligence (AI) are enabling the development of a wide range of systems with unique characteristics designed for varying real-world applications. These include robots that can engage in activities traditionally only completed by humans, such as sketching, painting and even hand-writing documents.Recent advances in robotics and artificial intelligence (AI) are enabling the development of a wide range of systems with unique characteristics designed for varying real-world applications. These include robots that can engage in activities traditionally only completed by humans, such as sketching, painting and even hand-writing documents.Robotics[#item_full_content]

In a paper published in Nature Biotechnology, three Stanford University-affiliated co-authors, including Stanford Law School Professor Lisa Larrimore Ouellette, tackle an issue of growing importance at the intersection of law and technology: How the use of artificial intelligence to codify and communicate knowledge may influence the usefulness of the technical literature for subsequent researchers and innovators. In particular, they studied how the growing use of AI in the patent-drafting process is exacerbating existing challenges around patent law’s disclosure requirements.In a paper published in Nature Biotechnology, three Stanford University-affiliated co-authors, including Stanford Law School Professor Lisa Larrimore Ouellette, tackle an issue of growing importance at the intersection of law and technology: How the use of artificial intelligence to codify and communicate knowledge may influence the usefulness of the technical literature for subsequent researchers and innovators. In particular, they studied how the growing use of AI in the patent-drafting process is exacerbating existing challenges around patent law’s disclosure requirements.Machine learning & AI[#item_full_content]

Nearly 3 out of 4 businesses already use artificial intelligence, and the AI market is projected to surge to $1.4 trillion by 2030. Amidst this new tech boom, assistant professor of sociology in the School of Arts & Sciences Benjamin Shestakofsky thinks it’s more important than ever to pause and explore the social systems that shape AI growth.Nearly 3 out of 4 businesses already use artificial intelligence, and the AI market is projected to surge to $1.4 trillion by 2030. Amidst this new tech boom, assistant professor of sociology in the School of Arts & Sciences Benjamin Shestakofsky thinks it’s more important than ever to pause and explore the social systems that shape AI growth.Business[#item_full_content]