W3C proposal backed by Google and Microsoft allows developers to expose client-side JavaScript tools to AI agents, enabling ...
Google ships WebMCP protocol, letting websites expose structured functions to AI agents and reducing computational overhead ...
Rapidata emerges to shorten AI model development cycles from months to days with near real-time RLHF
Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively ...
Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...
These speed gains are substantial. At 256K context lengths, Qwen 3.5 decodes 19 times faster than Qwen3-Max and 7.2 times ...
Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...
STON.fi's CMO shares 3 lessons on scaling Omniston, its liquidity aggregation protocol, and the shift to escrow swaps on the TON Blockchain.
Using AI for XR development improves the developer experience and substantially accelerates WebXR prototyping.
Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has ...
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