One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

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The linguist and author of “Algospeak” traces how content moderation is breeding a whole new way of speaking — and what it ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

2. Basic Concepts of Machine Learning ML provides a fundamentally new way to explore the chemical compound space, uncovering correlations and cause-effect relationships that are otherwise inaccessible ...

They are not the first group to apply machine learning to the challenge of coming up with an ideal XC functional. But the Microsoft team used a more complex algorithm than others, incorporating ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

(b) Quantum machine learning in augmenting quantum cryptography. The rest of the article explores the fundamental aspects of quantum cryptography, the role of QML in Quantum cryptography, and three ...