AI is moving faster and becoming more diverse than ever. The next competitive advantage may come from a new architecture.
The Brighterside of News on MSN
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 ...
Nvidia Corp. today announced the launch of Nemotron 3, a family of open models and data libraries aimed at powering the next ...
Researchers have unveiled General Agentic Memory (GAM), a new system designed to keep AI agents from forgetting what matters.
Recognition memory research encompasses a diverse range of models and decision processes that characterise how individuals differentiate between previously encountered stimuli and novel items. At the ...
Tech Xplore on MSN
Shrinking AI memory boosts accuracy, study finds
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
In the fast-paced world of artificial intelligence, memory is crucial to how AI models interact with users. Imagine talking to a friend who forgets the middle of your conversation—it would be ...
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 ...
Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
A new study reveals that the memory for a specific experience is stored in multiple parallel 'copies'. These are preserved for varying durations, modified to certain degrees, and sometimes deleted ...
AI memory is limited. Users have to re-explain per chat and application switching is becoming difficult. User-owned and ...
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