Crying over expensive RAM? Kioxia may have cracked the 3D RAM puzzle, paving the way for cheaper, faster memory — but it probably won't reach the market till the next decade
Kioxia develops eight-layer stackable oxide-semiconductor transistors for 3D DRAM - yet commercial deployment remains years away. [...]
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A 0.12% parameter add-on gives AI agents the working memory RAG can't
AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests the same context it already processed, the team pays in latency, token costs, and [...]
DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups
When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it's using expensive GPU computation designed for complex reasoning — just to access stati [...]
Tencent's Team Memory shares AI agent memory across a team — with no governance yet for when it's wrong
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Google PM open-sources Always On Memory Agent, ditching vector databases for LLM-driven persistent memory
Google senior AI product manager Shubham Saboo has turned one of the thorniest problems in agent design into an open-source engineering exercise: persistent memory.This week, he published an open-sour [...]
The RAM crisis is Apple's best chance in decades to capture the PC market
In the current RAM crisis, no company is better positioned to not only weather the storm but turn it to its advantage like Apple. It proved that when it released the MacBook Neo in early March. Despit [...]
MeMo's memory model lets teams upgrade their LLM without retraining it — and performance jumps 26%
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 [...]