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 ...
Hyperscale AI workloads require up to 10 times more DRAM to keep GPU clusters humming without latency bottlenecks. HBM has become a must-have resource, powering everything from large language model ...
Tensormesh Inc. has hit upon a way to make artificial intelligence inference more efficient by eliminating the need for redundant computations, and its technology is so convincing that several of AI ...
Abstract: Memory-enabled large language model (LLM) agents, particularly those deployed in long-horizon, tool-using settings such as Web3-style autonomous workflows, introduce security risks that ...
A new technical paper, “Not All Thoughts Need HBM: Semantics-Aware Memory Hierarchy for LLM Reasoning,” was published by researchers at USC and University of Wisconsin-Madison. “Reasoning LLMs produce ...
The big picture: With memory prices skyrocketing, tech companies are exploring new ways to reduce the cost of AI development. Earlier this year, Google detailed its TurboQuant compression technique, ...
Researchers have shown for the first time that malfunctioning mitochondria — the cell’s energy generators — may directly cause cognitive decline in neurodegenerative diseases. By creating a new tool ...
A massive international brain study has revealed that memory decline with age isn’t driven by a single brain region or gene, but by widespread structural changes across the brain that build up over ...
Reading a book about bowling is not the same as actually bowling. If that resonates with you and you want to learn more about large language models, check out the LLM From Scratch project. The ...
Hollywood loves a superpower. Not all involve capes or cosmic rays. Some are cognitive: characters who can remember everything. In movies and on TV, viewers repeatedly encounter those with ...
A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling Co-Design,” was published by researchers at University of Edinburgh, Peking ...
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