A team of Google researchers has published a technique that could let developers squeeze roughly three times more throughput ...

The problem with rolling your own AI is that your system memory probably isn’t very fast compared to the high bandwidth ...

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason more deeply without increasing their size or energy use. The work, ...

Google AI breakthrough TurboQuant reduces KV cache memory 6x, improving chatbot efficiency, enabling longer context and ...

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 ...

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 ...

Episodic memory in autonomous agents refers to the capacity to record, store and recall individual experiences with their inherent spatial and temporal contexts, mirroring aspects of human cognitive ...