Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University ...
Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...
NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.
Integrative Multi-Omics and Computational Modeling for Biomarker Discovery in Complex Human Diseases
Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...
Machine learning added to NTN’s ABICS system reduces simulation time by more than 90 percent and automates dimension optimization for third-generation hub bearings, the company says.
The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...
Austrian economists have long criticized using mathematics to undergird economic analysis. It is time to apply that same ...
It uses a system called simplified molecular-input line-entry system (SMILES). This translates chemical 3D structures into ...
Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...
4don MSNOpinion
AI is failing ‘Humanity’s Last Exam’. So what does that mean for machine intelligence?
How do you translate ancient Palmyrene script from a Roman tombstone? How many paired tendons are supported by a specific ...
A new generation of decentralized AI networks is moving from theory to production. These networks connect GPUs of all kinds ...
VnExpress International on MSN
Harvard University offers 7 free data science courses
Harvard University is providing seven free online courses in data science, each running for eight to nine weeks and requiring ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results