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New memory structure helps AI models think longer and faster without using more power
Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...
AI is moving faster and becoming more diverse than ever. The next competitive advantage may come from a new architecture.
Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
Researchers have unveiled General Agentic Memory (GAM), a new system designed to keep AI agents from forgetting what matters.
Nvidia Corp. today announced the launch of Nemotron 3, a family of open models and data libraries aimed at powering the next ...
What if your AI could remember every meaningful detail of a conversation—just like a trusted friend or a skilled professional? In 2025, this isn’t a futuristic dream; it’s the reality of ...
The idea of simplifying model weights isn’t a completely new one in AI research. For years, researchers have been experimenting with quantization techniques that squeeze their neural network weights ...
All over the AI field, teams are unlocking new functionality by changing the ways that the models work. Some of this has to do with input compression and changing the memory requirements for LLMs, or ...
This $50,000 Apple Silicon cluster features a quartet of Mac Studios with 2TB unified memory. Hitting 3x speed using RDMA, to ...
During sleep, the human brain sorts through different memories, consolidating important ones while discarding those that don’t matter. What if AI could do the same? Bilt, a company that offers local ...
The company’s platform, Starling AIX, aims to structure organizational knowledge so that large language models can work with ...
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