New chip performs data storage and computation in a single memory array, enabling real-time modelling of complex brain ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...

In Part 1, we established that AI memory is not evidence of a learning mind — it is a retrieval architecture whose costs fall ...

As inference workloads evolve from discrete question-and-answer exchanges into persistent, multi-step agentic systems, GPU ...

Open-source OCR from Baidu eliminates the GPU memory wall that limits long-document parsing. Unlimited OCR uses a constant KV ...

While hyperscalers building next-generation cloud platforms and semiconductor giants producing HBM chips are stealing the spotlight in most instances, the physical structure of the artificial ...

To move into the agentic era, organisations must transition away from rigid, brittle data pipelines and focus on making their data "agent-ready"—dynamically searchable, context-aware, and built on ...

Andrew Tindall watched Mark Ritson and Byron Sharp share a Cannes stage and found more agreement than expected, but there ...

Lenovo AI server backlog has swelled to $21 billion as high-bandwidth memory shortages stall China’s AI compute build-out. SK ...

Enterprises are busy deploying agents, but few understand the building blocks and blueprints necessary to engineer effective agent-enhanced business workflows.

IBM says it can fit nearly 100 billion transistors on a chip - why the milestone matters ...