Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

State-of-the-art artificial intelligence (AI) models demand significantly more energy and memory than ever before. The very ...

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 ...

Meet the Kioxia GP Series SSD designed to expand GPU memory and tackle trillion-parameter AI models ...

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 ...

Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...

AI's insatiable appetite for memory chips is crowding out all other buyers — and the consequences will ripple through every ...

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 ...

Nvidia announcements show the current shortage of storage and memory could continue into the future, driving up prices and ...

Apple’s latest hardware is doing something pretty unexpected on the AI side, though it comes with a clear catch. The iPhone ...