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

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

Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

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 ...

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 ...

Imagine having a conversation with someone who remembers every detail about your preferences, past discussions, and even the nuances of your personality. It feels natural, seamless, and, most ...

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 ...

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

For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of ...