MNEs are increasingly using algorithmic tools in TP. Sahasranshu Dash argues that data ethics should therefore plug directly ...

A new paper published in Nature Communications reveals how the way tree species are arranged in a forest can help optimize ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of a Grover-based quantum algorithm designed to find pure Nash equilibria in graphical games. This ...

How It Transforms Your Online Experience sounds like one of those buzzwords you hear all the time, right? But here’s the thing — ...

A 2-watt laser, no brighter than a nightlight, has just delivered data at 1 gigabit per second from a satellite 36,000 ...

The first CLARITY patient was enrolled at the Texas Back Institute, a world leader in advancing spine technology, science, and education, as well as patient care; CLARITY is a ran ...

Sparse representation, as a powerful signal processing method, is widely used in rolling bearing fault diagnosis. As an algorithm for solving the sparse model, randomized orthogonal matching pursuit ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at Northeastern University in Boston, US, where he teaches generative AI ...

How to predict heart attack in the stroke-patient data becomes a challenge. For processing the imbalanced data, this paper designs an algorithm by leveraging random undersampling, clustering and ...

In particular, we show that these problems do not admit any distributed quantum advantage. To do that: 1) We give a new distributed algorithm that finds a c-coloring in χ-chromatic graphs in ̃ (n1α) ...