MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.

MIT's MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining and see a 26% performance gain, researchers say.

Artificial intelligence is changing the world, and simultaneously inventing a whole new language to describe how it’s doing it. Spend five minutes reading about AI and you’ll run into LLMs, RAG, RLHF, ...

Sometime in early 2026, an autonomous AI agent connected to a public-facing WebSocket endpoint, received a full interactive shell without entering a single credential, and used that access to extract ...

While tech giants lock smaller businesses out of advanced AI, Tether is using localized fine-tuning and P2P networks to democratize superintelligence for billions of people.

NEW DELHI: Tejas Networks’ equipment has cleared multi-ministry-backed lab and field trials for direct-to-mobile (D2M) broadcasting, validating the technical and regulatory feasibility of the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Amazon gives external businesses access to its freight, shipping, distribution capabilities Shares of UPS and FedEx fall more than 9% as Amazon intensifies competition Amazon signs clients such as P&G ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

There is a lot of excitement around the potential applications of large language models (LLM). We’re already seeing LLMs used in several applications, including composing emails and generating ...