Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...
V3.2, a family of open-source reasoning and agentic AI models. The high compute version, DeepSeek-V3.2-Speciale, performs ...
When I look at where we are today as an industry, it feels a lot like the early days of the internet all over again.
While the AI model improvements to DLSS 4.5 will benefit all RTX owners today, Nvidia is also launching a new 6x Multi Frame ...
Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data
Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...
Traditional water management approaches are increasingly unfit for modern pressures. Periodic manual measurements, delayed ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Abstract: Accurately predicting the occurrence, amplitude, and propagation speed of traffic flow shockwaves are essential for dynamic traffic control to mitigate traffic congestion. However, ...
With Apps in ChatGPT, Coursera is available to provide on demand education to users without breaking the flow of the conversation. When you’re deep into a project at 10 p.m. and suddenly need to learn ...
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