Dr. Fei-Fei Li, Stanford professor and co-director of Stanford HAI (Human-Centered AI), and Andrew Ng, venture capitalist and managing general partner at Palo Alto-based AI Fund discussed the current state and expected near-term developments in artificial intelligence. As a general purpose technology, AI development will both deepen, as private sector LLMs are developed for industry-specific needs, and broaden, as open source public sector LLMs emerge to address broad societal problems. Expect exciting advances in image models — what Li calls “pixel space.” When implementing AI, think about teams rather than individuals, and think about tasks rather than jobs. Continue reading CES: Session Details the Impact and Future of AI Technology

After many years of academia leading the way in the development of artificial intelligence, the tides have shifted and industry has taken over, according to the 2023 AI Index, a report created by Stanford University with help from companies including Google, Anthropic and Hugging Face. “In 2022, there were 32 significant industry-produced machine learning models compared to just three produced by academia,” the report says. The shift in influence is attributed mainly to the large resource demands — in staff, computing power and training data — required to create state of the art AI systems. Continue reading Report: Enterprise Supplants Academia as Driving Force of AI

The National Research Cloud, which has bipartisan support in Congress, gained approval of several universities, including Stanford, Carnegie Mellon and Ohio State, and participation of Big Tech companies Amazon, Google and IBM. The project would give academics access to a tech companies’ cloud data centers and public data sets, encouraging growth in AI research. Although the Trump administration has cut funding to other kinds of research, it has proposed doubling its spending on AI by 2022. Continue reading National Research Cloud Gains Big Tech, Legislator Support