MicroAlgo's quantum machine learning algorithms leverage the parallelism and efficiency of quantum computing to accelerate the execution of machine learning tasks, enabling the processing of more ...

Eight years ago a machine learning algorithm learned to identify a cat—and it stunned the world. A few years later AI could accurately translate languages and take down world champion Go players.Now, ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

For starters, machine learning algorithms can make IoT data better suited for processing and analysis. Businesses can use trained algorithms to help in the organization and tagging of data.

A new reinforcement-learning algorithm has learned to optimize the placement of components on a computer chip to make it more efficient and less power-hungry. 3D Tetris: Chip placement, also known ...

Ease of use, more big data than ever, and a proliferation of libraries and toolkits helped machine learning leap ahead for many Topics Spotlight: AI-ready data centers ...

Machine learning collaborations accelerate materials discovery. 30 Jun 2019 Anna Demming. Data driven science. Attendees from government and academia gather at the 10th colloquium by the journal ...

Machine learning algorithms assist in protein engineering by reducing the experimental burden of methods such as directed evolution, which involves multiple rounds of mutagenesis and high ...

AI machine learning uses so much computing power and energy that it's typically done in the cloud. But a new microtransistor, 100X more efficient than the current tech, promises to bring new ...