Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises to shrink AI’s “working memory” by up to 6x, but it’s still just a lab ...

Data clustering remains an essential component of unsupervised learning, enabling the exploration and interpretation of complex datasets. The field has witnessed considerable advancements that address ...

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a ...

We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...

A new theory could bring a way to make quantum algorithm development less of an accidental process, say scientists. In 2019, Google claimed it was the first to demonstrate a quantum computer ...

The nearest neighbor problem asks where a new point fits into an existing data set. A few researchers set out to prove that there was no universal way to solve it. Instead, they found such a way. If ...

Scientists have developed a way of finding optimal peptide sequences: using a machine-learning algorithm as a collaborator. The algorithm analyzes experimental data and offers suggestions on the next ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Will deep learning really live up to its ...

When quantum computers become powerful enough, they could theoretically crack the encryption algorithms that keep us safe. The race is on to find new ones. Tech Review Explains: Let our writers ...