How do the circuits of the human brain work—and what happens when they are disrupted? To investigate these questions, ...
From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...
Using spatial transcriptomics and AI, researchers redefined the mouse brain’s geography, uncovering hundreds of new ...
Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...
Ashok Elluswamy, Tesla's VP of Autopilot Software, delivered a keynote titled "Building Foundational Models for Robotics at ...
For the past decade, AI researcher Chris Olah has been obsessed with artificial neural networks. One question in particular engaged him, and has been the center of his work, first at Google Brain, ...
Chinese researchers used the Oceanlite supercomputer and a custom NNQS model to simulate molecular systems with 120 spin ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
Gibaldi and his colleagues have since analysed several open-access MOF databases commonly used for machine learning and found ...