W3C proposal backed by Google and Microsoft allows developers to expose client-side JavaScript tools to AI agents, enabling ...

Abstract: Transformers are widely used in computer vision areas and have achieved remarkable success. Most state-of-the-art approaches split images into regular grids and represent each grid region ...

GUANGZHOU, China, Dec. 28, 2025 /PRNewswire/ -- XPENG, in collaboration with Peking University, has had its paper "FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based ...

XPENG is committed to leading the transformation of future mobility through technological exploration, positioning itself as "Explorer of Future Mobility". Headquartered in Guangzhou, China, the ...

Yesterday while trying to download data from the Planetary Computer using dask, I encountered an issue where the API is issuing tokens for the correct start TIME, but for the incorrect start DATE (the ...

Enterprises are moving toward usage-based and results-driven pricing as artificial intelligence becomes central to products and services. Real-time metering and flexible billing are enabling companies ...

The information on this website is for educational purposes only, and investing carries risks. Always do your research before investing, and be prepared for potential losses. 18+ and Gambling: Online ...

DeepSeek continues to push the frontier of generative AI...in this case, in terms of affordability. The company has unveiled its latest experimental large language model (LLM), DeepSeek-V3.2-Exp, that ...

The update’s main focus has been neatly explained: “Adding real-time radar unlocks a new level of precision in location-aware applications,” said a Visual Crossing spokesperson. “It allows developers ...

Claude Sonnet 4 has been upgraded, and it can now remember up to 1 million tokens of context, but only when it's used via API. This could change in the future. This is 5x more than the previous limit.

VFlowOpt is a novel, training-free token pruning framework designed to enhance the efficiency of Large Multimodal Models (LMMs) by addressing high computational costs from excessive visual tokens. It ...