Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

Neuromorphic computing is an emerging computing technology inspired by the operational principles of the human brain. By employing neuromorphic devices to emulate neuronal functions and construct ...

scalable architecture that requires a fraction of the DRAM bandwidth of existing neural inferencing solutions. “The difficult challenge in neural network inferencing is minimizing data movement and ...