A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.
As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.
The brain seeks novelty. Passive tasks can lead to skill decline. Challenging the brain with new learning, like a new ...
Tech Xplore on MSN
Atomistic model explains how memory metals can change their shape
Shape memory alloys are exotic materials that can be deformed at room temperature and return to their "remembered," ...
Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
The key in agentic AI is establishing clear "expertise directories" and communication protocols using transactive memory ...
Rumors suggest two DeepSeek V4 options, a flagship for long coding and a lighter build, so teams can ship multi-file updates ...
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Dopamine under control: Precision regulation of inhibition shapes learning, memory and mental health
For decades, dopamine has been celebrated in neuroscience as the quintessential "reward molecule"—a chemical herald of ...
Millions of AI agents are entering production systems. Almost none can share operational experience. This is why that ...
Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...
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