Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data.

Neural information extraction algorithms can be trained on data from a few institutions and then can be applied to data from previously unseen hospitals and clinics. This helps to reduce the burden ...

Neuton is a neural network framework, which Bell Integrator claims is far more effective than any other framework and non-neural algorithm available on the market.

Similarity search—for example, identifying similar images in a database or similar documents on the web—is a fundamental computing problem faced by large-scale information retrieval systems. We ...

A project run by Eaton and NREL has developed a tool that can detect powerline faults otherwise difficult to detect, enabling utility companies to reduce the chance of both power outages and wildfires ...

If successful, DeepMind's goal to bridge deep learning and classical computer science could revolutionize AI and software as we know them.