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thenextweb
Google&#8217;s new compression algorithm cut memory stocks within hours of publication

Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent, and SanDisk fell 5.7 per cent, as investors recalculated how much physical memory the AI industry might actually need. The algorithm is […]
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venturebeat
Nvidia says it can shrink LLM memory 20x without changing model weights

<p>Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifyi [...]

Match Score: 144.75

venturebeat
Context compression finally works in production: new research cuts LLM inpu

<p>Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and conversation history, and the more [...]

Match Score: 124.43

venturebeat
DeepSeek drops open-source model that compresses text 10x through images, d

<p><a href="https://www.deepseek.com/"><u>DeepSeek</u></a>, the Chinese artificial intelligence research company that has repeatedly challenged assumptions abou [...]

Match Score: 117.88

venturebeat
Google's new TurboQuant algorithm speeds up AI memory 8x, cutting cost

<p>As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the &quot;Key-Valu [...]

Match Score: 91.63

venturebeat
New KV cache compaction technique cuts LLM memory 50x without accuracy loss

<p>Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s w [...]

Match Score: 90.17

venturebeat
'Observational memory' cuts AI agent costs 10x and outscores RAG

<p>RAG isn&#x27;t always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents embedded in production [...]

Match Score: 78.35

venturebeat
A 0.12% parameter add-on gives AI agents the working memory RAG can't

<p>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 c [...]

Match Score: 76.81

X's 'open source' algorithm isn't a win for transparency, researchers say
X's 'open source' algorithm isn't a win for transparenc

<p>When X&#39;s engineering team published <a target="_blank" class="link" href="https://github.com/xai-org/x-algorithm" data-i13n="cpos:1;pos:1"&g [...]

Match Score: 71.07

venturebeat
Tencent's Team Memory shares AI agent memory across a team — with no

<p>A <a href="https://venturebeat.com/data/57-of-enterprises-have-watched-ai-agents-be-confidently-wrong-the-fix-is-an-agentic-context-layer-but-who-has-one">VB Pulse survey this [...]

Match Score: 67.49