This workshop is part of the Research Semester Programme 'PhaseCAP: Phase Transitions in Combinatorics, Algorithms and Probability'.

Mark Zuckerberg’s court testimony that companies should build “useful” products has reignited debate on morality of algorithms ...

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

If you’re still building Google Ads around keywords, you’re behind. Here's what that means for eligibility, structure, and ...

Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension ...

The platform that slashed NASA's R&D costs and compressed three-day computations into one hour is now available to ...

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Rigetti Computing is a leader in the quantum industry, and it continues to rapidly improve the performance and error rates of ...