This leap is made possible by near-lossless accuracy under 4-bit weight and KV cache quantization, allowing developers to process massive datasets without server-grade infrastructure.
Scientists have created an AI version of a monkey brain that recognizes images without requiring the massive computing power of existing AI systems.
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 ...
This podcast explores updates to the Pointer Ownership Model for C, a modeling framework designed to improve the ability of developers to statically analyze C programs for errors involving temporal ...
GPT-5.3-Codex-Spark may be a mouthfull, but it's certainly fast at 1,000 Tok/s running on Nvidia rival's CS3 accelerators ...
Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...
With OpenAI's latest updates to its Responses API — the application programming interface that allows developers on OpenAI's platform to access multiple agentic tools like web search and file search ...
Episodic memory allows us to mentally return to experiences that feel personally lived, while semantic memory provides the stable knowledge that binds those experiences into a coherent life story.
The global memory chip shortage is deepening in early 2026, as relentless AI-driven demand strains supply chains and begins to reshape market winners and losers. In a research note released Friday, ...
What if the next leap in AI wasn’t just about generating code but about truly understanding it? Below, Universe of AI takes you through how the leaked details of DeepSeek V4 suggest a bold ...
This atomistic model showing the coexistence of two solid phases of NiTi: austenite (blue), stable at higher temperatures, and martensite (brown), stable at lower temperatures. The martensite region ...
DeepSeek founder Liang Wenfeng has published a new paper with a research team from Peking University, outlining key technical directions for next-generation sparse large language models. The study is ...
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