Science Daily

Training algorithm breaks barriers to deep physical neural networks

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 ...
Tech Xplore

Novel approach to training AI saves energy, improves speed, and minimizes data sent across networks

In a novel attempt to improve how large language models learn and make them more capable and energy-efficient, Stevens ...

MicroAlgo Inc. Develops Quantum Algorithm Technology for Feedforward Neural Networks to Drive Neural Network Revolution

MicroAlgo Inc. (the Company or MicroAlgo) (NASDAQ: MLGO), today announced that they have developed a set of quantum ...
InfoQ

Google Uses AutoML to Discover More Efficient AI Training Algorithm

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Crypto Briefing

Ben Fielding: Neural architecture search automates deep learning, the shift to horizontal scaling is essential, and blockchain security enhances consensus algorith…

Machine learning's transformative shift mirrors the MapReduce moment, revolutionizing efficiency with decentralized consensus ...
Science Daily

Hidden geometry of learning: Neural networks think alike

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...
InfoWorld

Styles of machine learning: Intro to neural networks

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...