Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

In an earlier collaborative project, Ceva worked with CERN on the trigger system of the Large Hadron Collider (LHC), a sophisticated real-time filtering mechanism that deals with the torrent of ...

By borrowing ideas from the brain, UT Dallas researchers have created hardware that learns on its own with minimal energy use ...

Elastic (NYSE: ESTC), the Search AI Company, announced DiskBBQ, a new disk-friendly vector search algorithm in Elasticsearch ...

Computers built with analogue circuits promise huge speed and efficiency gains over ordinary computers, but normally at the ...

Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...

Threat actors refine tactics with DNS attacks, new RATs, and Rust-based malware. Stay ahead with this week’s top ThreatsDay ...

A computer that uses ternary circuits comprising three stages rather than binary circuits, which operate in two. A ternary computer named Setun was built at the Moscow State University in 1958, and an ...

Try propositional chunking on your next vector search project. Your users will notice the difference in result quality immediately.

Researchers have developed an experimental method for determining whether the functions performed by a quantum computer are the result of quantum mechanics — or just a clever twist on classical ...

The domain of artificial intelligence is progressing at a breakneck pace, but at the same time, it is also running into a variety of challenges. The compute costs and energy requirements are extremely ...