Nvidia’s data center chips have become the default engine for modern artificial intelligence, but they are not just faster versions of gaming graphics cards. The company’s AI accelerators strip away ...

Abstract: Automatic detection and prevention of open-set failures are crucial in closed-loop robotic systems. Recent studies often struggle to simultaneously identify unexpected failures reactively ...

Abstract: Organizing computation as asynchronous tasks with data-driven dependencies is a simple and efficient model for single- and multi-GPU programs. Sequential Task Flow (STF) is such a model that ...

Newer languages might soak up all the glory, but these die-hard languages have their place. Here are eight languages developers still use daily, and what they’re good for. The computer revolution has ...

A growing number of home renovation and interior design platforms are rolling out A.I.-enabled imaging tools capable of redesigning rooms in an instant. By Rachel Wharton When Lee Mayer launched the ...

* Equal contributions. $\dagger$ Project leader. $\ddagger$ Research advisor. DVGT, a universal visual geometry transformer for autonomous driving, directly predicts metric-scaled global 3D point maps ...

Visual Geometry Grounded Transformer (VGGT, CVPR 2025) is a feed-forward neural network that directly infers all key 3D attributes of a scene, including extrinsic and intrinsic camera parameters, ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...