Some artificial intelligence models can already resemble the human brain even before having learned anything. This surprising ...

Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity ...

BrainChip Holdings Ltd., a leader in commercial production high-performance, ultra-low-power, event-based neuromorphic ...

A new approach to designing AI based on biologically inspired architecture could cut the number of data centers needed to run ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

AI inference deployments are increasingly focused on the edge as manufacturers seek the consistent latency, enhanced privacy, ...

How best to run AI inference models is a current topic of much debate as a wide breadth of systems companies look to add AI to a variety of systems, spurring both hardware innovation and the need to ...