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]

As artificial intelligence models become increasingly advanced, electronics engineers have been trying to develop new hardware that is better suited for running these models, while also limiting power-consumption and boosting the speed at which they process data. Some of the most promising solutions designed to meet the needs of machine learning algorithms are platforms based on memristors.As artificial intelligence models become increasingly advanced, electronics engineers have been trying to develop new hardware that is better suited for running these models, while also limiting power-consumption and boosting the speed at which they process data. Some of the most promising solutions designed to meet the needs of machine learning algorithms are platforms based on memristors.Hardware[#item_full_content]

President Donald Trump on Tuesday announced a major investment to build infrastructure for artificial intelligence led by Japanese giant Softbank, cloud giant Oracle and ChatGPT-maker OpenAI.President Donald Trump on Tuesday announced a major investment to build infrastructure for artificial intelligence led by Japanese giant Softbank, cloud giant Oracle and ChatGPT-maker OpenAI.Machine learning & AI[#item_full_content]

An English literature graduate turned data scientist has developed a new method for large language models (LLMs) used by AI chatbots to understand and analyze small chunks of text, such as those on social media profiles, in customer responses online or for understanding online posts responding to disaster events.An English literature graduate turned data scientist has developed a new method for large language models (LLMs) used by AI chatbots to understand and analyze small chunks of text, such as those on social media profiles, in customer responses online or for understanding online posts responding to disaster events.Computer Sciences[#item_full_content]