Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings ...

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 ...

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three ...

Verily and Google have developed a machine learning algorithm that can automatically detect diabetes-related eye disease, which could be used to take pressure off services in countries where the ...

Rochester, Minn.-based Mayo Clinic has nearly 100 AI algorithms in use that leaders are building “into the fabric” of the health system, the Rochester (Minn.) Post Bulletin reported. Here are six ...

Dornstetter, Heydtmann, and Jensen have previously demonstrated that the Extended Euclidean algorithm and the Berlekamp-Massey algorithm are two equivalent methods used for solving the so-called Key ...

In order to solve the problem of selecting optimal control parameters for various genetic operators in genetic algorithms, this article propose a comprehensive performance evaluation function based on ...

Asking for advice is about unpacking what you’re doing and looking for ways someone else might suggest improvements. Asking ...

Those who get it right aren't just managing data better—they're making better decisions, faster and with greater confidence.

Stop building rigid strategic plans that are obsolete before you finish them, and start using this agile strategy.

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.