Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent ...

Deep learning A subset of self-improving machine learning in which AI algorithms are designed with a multi-layered, artificial neural network (ANN) structure.

Digital transactions have emerged as a dominant force in today’s global commerce sector, empowering businesses and financial ...

New research has found similarities in how humans and artificial intelligence integrate two types of learning, offering new ...

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

Photonic hardware, which can perform machine-learning computations with light, offers a faster and more energy-efficient alternative. However, there are some types of neural network computations ...

The fields of psychology, robotics and machine learning have each been using some version of the concept for decades. You ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder ...

Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

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 ...