Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
With AI moving at a fast pace, oculomics — the study of the eye as a window to systemic health — is expanding its potential ...
Small can be powerful. In the discussions of AI engines, large language models (LLMs) often dominate the conversation due to ...
Samsung’s AI lab in Montreal new Tiny Recursive Model with only 7M parameters performs as well, if not better in some ...
Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...
A 7M-parameter AI model from a Samsung researcher, TRM, outperforms giants like Google's Gemini on complex reasoning tasks, challenging the industry's focus on scale.
The global chemical industry produces hundreds of long, repeating molecular chains called polymers. Only a handful comprise ...
Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.
OMN Next Gen SEO & KI-Marketing Schweiz continues to strengthen its position as a leading force in Switzerland’s digital ...
Auric Portex operates under international financial regulations, maintaining partnerships only with brokers registered under ...
Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...
AZoBuild on MSN
New Study Uses Fuzzy Logic to Accurately Predict Hardness in High-Performance Concrete
A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...
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