Based on the Marxist theory of productive forces, this paper analyzes the internal mechanism of cultivating new-quality talents—defined in this study as professionals who possess advanced digital ...
Effective error recovery mechanisms are essential for robotic construction, allowing for real-time problem-solving in dynamic ...
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Compression technique makes AI models leaner and faster while they're still learning
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
Emergency measure to address skyrocketing costs for petrochemical feedstock affected by escalating tensions in the Middle East.
The productivity gains from artificial intelligence are not showing up where most companies are looking for them.
Software quantifies polymer content in seconds using DSC and machine learning. The company is also seeking partners to help ...
The number and variety of test interfaces, coupled with increased packaging complexity, are adding a slew of new challenges.
Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...
For years, Rutgers physicist David Shih solved Rubik's Cubes with his children, twisting the colorful squares until the ...
Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...
When chemists design drug candidates, shape matters enormously. Many active pharmaceutical ingredients contain branched carbon structures-points where the molecular chain forks in a specific direction ...
Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and ...
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