Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

The key in agentic AI is establishing clear "expertise directories" and communication protocols using transactive memory ...

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.

Building Generative AI models depends heavily on how fast models can reach their data. Memory bandwidth, total capacity, and ...

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

Nvidia’s Rubin chips make AI cheaper and scalable. Here’s why that shift strengthens Bittensor’s open AI market.

Penguin Solutions, Inc. (Nasdaq: PENG) a provider of high-performance computing and AI infrastructure solutions, today - Read ...

Six new chips, one system. NVIDIA’s Vera Rubin launch extends beyond a single product into a full AI infrastructure platform ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

More flexible systems naturally expose a wider range of configurations and performance profiles. For AI-native developers, ...