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 ...

Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve ...

AI infrastructure can't evolve as fast as model innovation. Memory architecture is one of the few levers capable of accelerating deployment cycles. Enter SOCAMM2 ...

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 ...

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 ...

An international study has revealed a surprising connection between quantum physics and the theoretical models underlying ...

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 ...

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 ...

The traditional model of memory proposes that different types of long term memory are processed in separate brain modules.

The world of AI has been moving at lightning speed, with transformer models turning our understanding of language processing, image recognition and scientific research on its head. Yet, for all the ...