NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
As AI data centers consume a growing share of global memory supply, shortages of advanced memory chips are emerging as a ...
Memory prices are falling, and stock prices of memory companies took a hit, following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing ...
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, ...
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Forgetting may be the secret to better AI language learning
Giving AI a human-like memory limitation may actually help it learn language better. In their new proof-of-principle study, ...
"New optical memory unit poised to improve processing speed and efficiency." ScienceDaily. www.sciencedaily.com / releases / 2025 / 01 / 250123110233.htm (accessed June 25, 2026).
Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...
Firstly, a brief introduction was given to commonly used two-dimensional materials, including graphene, transition metal dichalcogenides (TMDC), black phosphorus (BP), and hexagonal boron nitride ...
SEOUL, South Korea--(BUSINESS WIRE)--Samsung Electronics Co., Ltd., the world leader in advanced memory technology, today announced that it has developed the industry's first High Bandwidth Memory ...
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