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

A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

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

For the past few years, the recipe for building smarter artificial intelligence has been simple: make it bigger. Add more ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

New research from Sandia National Laboratories suggests that brain-inspired neuromorphic computers are just as adept at ...

Chatbots put through psychotherapy report trauma and abuse. Authors say models are doing more than role play, but researchers ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

A FLOP is a single floating‑point operation, meaning one arithmetic calculation (add, subtract, multiply, or divide) on ...