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 ...

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

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As ...

Researchers review AI-powered inverse lithography, showing how deep learning boosts chip patterning precision and efficiency ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

The race is on to create one neural network that can process multiple kinds of data -- a more-general artificial intelligence that doesn't discriminate about types of data but instead can crunch ...

Can Hebbia build a better Google? This ‘neural search engine’ wants to reinvent the algorithm The two-year-old startup’s product launches today, and it hopes to “transform” the market.

Funding supports next-generation AI agent development and proprietary Intellectual Property, focused initially on pharmaceutical ...

A new study has mapped the genetic blueprint of neural stem and progenitor cells (NPCs), the rare cells responsible for ...