DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
eWeek

MIT Just Solved AI’s Memory Problem (And It’s Brilliantly Simple)

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...
Semiconductor Engineering

Robust Dynamic Voltage Droop Mitigation And Power Management

Power management is one of the keys for developing successful semiconductors products. There are virtually no applications ...

T cells gain superior memory through new reprogramming method, boosting cancer-fighting abilities

Georgetown University's Lombardi Comprehensive Cancer Center researchers have identified a new way to reprogram T cells, ...
IEEE

Efficient Dynamic Resource Management for Spatial Multitasking GPUs

Abstract: The advent of microservice architecture enables complex cloud applications to be realized via a set of individually isolated components, increasing their flexibility and performance. As ...
IEEE

Genetic Programming With Multifidelity Surrogates for Large-Scale Dynamic Air Traffic Flow Management

Abstract: Dynamic air traffic flow management (DATFM) aims at flexibly balancing air traffic demand with limited airspace by scheduling aircraft, particularly during unforeseen events, to maintain ...
GitHub

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...