Artificial intelligence chip developers SK hynix and TetraMem have demonstrated a new memory-centric processor ...

Our brains handle vast amounts of complicated information. So, how exactly does the mind make sense of all the many things it has to deal with? While there are a few different ideas, information ...

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Richard Addante, who has spent more than a decade researching episodic memory—the cognitive process that involves processing and retrieving long-term memory—has identified a new kind of human memory ...

Google TurboQuant reduces memory strain while maintaining accuracy across demanding workloads Vector compression reaches new efficiency levels without additional training requirements Key-value cache ...

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...

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