When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...

Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial ...

Oxford researchers found that deep neural networks naturally favor simpler solutions, enhancing their ability to generalize ...

Researchers say neuromorphic systems are reaching a “critical juncture,” with scale being a key metric to track the progress ...

Following neuron migration, neurons send out an axon and are ultimately able to create the rudimentary networks necessary to facilitate information processing and behavioral patterns. The pathway ...

Researchers developed a PV-RNN model that learns like children, integrating language and action to uncover mechanisms of ...

The earliest neural networks, which have later evolved into the large language models (LLMs) revolutionizing our society, were developed to study how information is processed in our brains. Ironically ...

A recent publication in Engineering unveils an exciting breakthrough in optical fiber communication. Scientists have developed a neuro-meta-router (NMR) that combines metasurfaces and deep-learning ...

Collaboration and cooperation are key elements of human social interactions, which can contribute to the efficient ...

Explore the chilling rise of GhostGPT, an uncensored AI tool empowering cybercriminals with advanced malware development..