Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

A major difference between LLMs and LTMs is the type of data they’re able to synthesize and use. LLMs use unstructured data—think text, social media posts, emails, etc. LTMs, on the other hand, can ...

Many in the industry think the winners of the AI model market have already been decided: Big Tech will own it (Google, Meta, Microsoft, a bit of Amazon) along with their model makers of choice, ...

A new technical paper titled “Pushing the Envelope of LLM Inference on AI-PC and Intel GPUs” was published by researcher at Intel. “The advent of ultra-low-bit LLM models (1/1.58/2-bit), which match ...

READING, Pa.—Miri Technologies has unveiled the V410 live 4K video encoder/decoder for streaming, IP-based production workflows and AV-over-IP distribution, which will make its world debut at ISE 2026 ...

How large is a large language model? Think about it this way. In the center of San Francisco there’s a hill called Twin Peaks from which you can view nearly the entire city. Picture all of it—every ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

Concurrent decoding of acoustic detail and linguistic structure enables natural, intelligible speech synthesis from limited human cortical recordings, resolving a fundamental constraint in neural ...

Executives do not buy models. They buy outcomes. Today, the enterprise outcomes that matter most are speed, privacy, control and unit economics. That is why a growing number of GenAI adopters put ...

Hugging Face co-founder and CEO Clem Delangue says we’re not in an AI bubble, but an “LLM bubble” — and it may be poised to pop. At an Axios event on Tuesday, the entrepreneur behind the popular AI ...