Stanford HAI offers critical resources for faculty and students to continue groundbreaking research across the vast AI landscape.
Category: robotics/AI – Page 416
New advanced imaging technology enables detailed disease mapping in tissue samples
Researchers from Aarhus University—in a major international collaboration—have developed a groundbreaking method that can provide more information from the tissue samples doctors take from patients every day.
The new technique, called Pathology-oriented multiPlexing or PathoPlex, can look under a microscope at over 100 different proteins in the same small piece of tissue—instead of just 1–2 at a time, as is done now.
The technology, which has just been published in the journal Nature, combines advanced image processing with machine learning to map complex disease processes in detail.
A Prominent OpenAI Investor Appears to Be Suffering a ChatGPT-Related Mental Health Crisis, His Peers Say
Bedrock co-founder Geoff Lewis has posted increasingly troubling content on social media, drawing concern from friends in the industry.
Google Release AI-Generated Film Based Off Vintage Photographs
They found the photos in a thrift store.
“We Gave AI $20 Million to Rethink Science”: Nexus Super-System Set to Turbocharge US Innovation Like Never Before
IN A NUTSHELL 🚀 Nexus, a $20 million supercomputer, is set to transform U.S. scientific research with its AI power. 🔬 Designed for accessibility, Nexus democratizes high-performance computing, allowing researchers nationwide to apply for access. 🌐 Georgia Tech, in collaboration with the NCSA, is creating a shared national research infrastructure through Nexus. 📈 With unprecedented
The biggest challenge for AI may be keeping the lights on
Targeting superintelligence, tech giants are scrambling for nuclear deals and water rights to power AI advances
What is consciousness, and could AI have it?
In the Voltaire Lecture 2025, Professor Anil Seth will set out an approach to understanding consciousness which, rather than trying to solve the mystery head-on, tries to dissolve it by building explanatory bridges from physics and biology to experience and function. In this view, conscious experiences of the world around us, and of being a ‘self’ within that world, can be understood in terms of perceptual predictions that are deeply rooted in a fundamental biological imperative – the desire to stay alive.
At this event, Professor Seth will explore how widely distributed beyond human beings consciousness may be, with a particular focus on AI. He will consider whether consciousness might depend not just on ‘information processing’, but on properties unique to living, biological organisms, before ending with an exploration of the ethical implications of an artificial intelligence that is either actually conscious – or can convincingly pretend to be.