Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
During this symposium, leading international epileptologists discussed the key challenges and opportunities that currently ...
Safe Pro Group Inc. ("Safe Pro" or the "Company"), a developer of Artificial Intelligence (AI)-enabled defense and security solutions, today announced that as a result of customer requests, it has now ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein structure prediction.
A machine learning system uses four wearable sensors to assess balance exercise difficulty and provide AI-driven feedback to ...
Leveraging NVIDIA DRIVE Sim for Autonomous Development. So, how do we actually get these self-driving cars to learn and get ...
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