A new geometric machine learning method promises to accelerate precision drug development
Proteins play a crucial role in nearly all biological processes, yet predicting their complex interactions and designing ...
Hosted on MSN7d
AI in orthopedics: Using machine learning to predict outcomes
Machine learning doesn’t replace humans. But AI does assist them in doing their job better by helping predict the success – ...
The Future Of SaaS PPC Campaigns With Machine Learning
Today’s machine-learning algorithms simplify labor-intensive tasks like bid management and lead scoring while simultaneously ...
Cure Today1d
Machine Learning Predicts Gleevec Nonadherence in Patients With GIST
Indicators for Gleevec nonadherence were cognitive functioning, global health status score, social support, gender and others ...
Mid Day1d
Envisioning Enterprise Transformation: Thejas Prasad’s Vision for Advanced AI and Machine Learning in Scalable ERP Solutions
Thejas Prasad and his views have helped in integrating advanced AI and machine learning technologies into scalable ERP ...
devdiscourse6d
A smarter way to learn: Harnessing machine learning for personalized programming education
Personalized approaches informed by physiological data could revolutionize areas like workforce training, mental health ...
EurekAlert!5d
Quality prediction of semi-solid die casting of aluminum alloy in terms of machine learning
Researchers have developed a machine learning model to identify defective products by detecting injection pressure during the ...
Scientific Research Publishing3d
A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning ()
Binjumah, W. (2025) A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning. International ...
Aalto7d
A Flexible Biorefinery using Machine Learning
Biorefineries convert biomass, such as wood, annual plants or agricultural into products and energy. Research teams in ...
AZoM on MSN7d
Machine Learning-Optimized Graphene Metamaterial Solar Absorber Using Al-TiN-Fe
Innovative graphene-based solar absorber design with Al, TiN, and Fe layers shows over 95 % absorbance, enhanced by machine ...
PC Gamer11d
AMD's FSR 4 will use machine learning but requires an RDNA 4 GPU, promises 'a dramatic improvement in terms of performance and quality'
AMD says that FSR 4 was "developed for RDNA 4 and the unique compute aspects of the RDNA 4 AI accelerators", which means that this new machine learning-powered solution will need an RX 9070 XT or ...