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Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...
The data center as we know it is being reimagined as an “AI factory” – a power- and data-optimized plant that turns energy ...
A liquid metal droplet that splits and merges to pump fluid offers a simple, low-voltage engine for powering soft robots, ...
Palantir is now trading at about 105x forward P/S ratio, making other best-of-breed cloud names like Cloudflare and ...
Bulleted lists improve both readability and machine understanding. Generative engines rely on structure to identify key points, and lists provide clear visual and semantic cues. They break complex ...
Liu, R. and DeLuca, D. (2025) How Does the Healthcare Community Perceive Artificial Intelligence? —A Systematic Review.
It's surprisingly hard to get AI models to watch and comment on actual video content, even if they are made for the task.
Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem ...
Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...
In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...
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