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.

No cloud, no power grid: just you, a crank, and a little red box.

Alongside Engram, Weaviate has also launched a Free Forever Tier on Weaviate Cloud! The CEO and Co-Founder of Weaviate, Bob Van Luijt, shared the launch update via Linkedin. Users can create a free ...

LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.

Researchers at Mem0 have introduced two new memory architectures designed to enable Large Language Models (LLMs) to maintain coherent and consistent conversations over extended periods. Their ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI In the big conversation that companies and people are having ...

Meanwhile, Longsys' mature PCIe Gen4 mSSD lineup has achieved commercial deployment. The products have secured collaborations ...

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.