SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.

Google introduces TurboQuant, a compression method that reduces memory usage and increases speed ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

The new, more memory-efficient AI algorithm from Google may not be bad news for chipmakers after all ...

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

Google announced TurboQuant, a memory compression tool that shrinks the memory required to run an AI model by a significant ...

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 ...

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 ...

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 ...

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 ...