Quera show 580 and 1156 logical qubits with neutral atom quantum computer simulations. April 2026 breakthrough (with ...

The Similar Parts Search technology demonstration combines Graph Neural Networks (GNNs) with advanced 3D geometric processing ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...

Daron Acemoglu is more cautious than most about predictions of a jobs apocalypse. Here’s what’s worrying him instead.

In almost every lab at the Institute, researchers are delving into AI. And the tools they’re developing and deploying have already turbocharged existing methods and opened new pathways to discovery.

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

CoCoGraph uses a diffusion model, a technique common in image generation, to generate realistic molecules for therapeutics ...

From greedy methods to dynamic programming, mastering algorithm design is about more than theory—it’s about crafting solutions that are efficient, scalable, and practical. Whether you’re preparing for ...

If Anthropic, Google, or OpenAI announced tomorrow that they had achieved AGI, the response would be less celebration and ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...

Huawei unveiled its global Xinghe AI Network Security Agentic SOC, designed to help enterprises build next-generation autonomous intelligent security operations ...