News

Flabby and flexible: How machine learning helps to build new proteins
The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...
Frontiers5h
Harnessing Machine Learning for Enhanced Biomedical Diagnosis and Early Disease Detection: Bridging Data Science and Healthcare
Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...
AZoBuild12h
Researchers Develop Machine Learning Model to Predict High-Strength Concrete Performance
A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...
Essential Machine Learning Skills to Learn for Career Growth in 2025
Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...
IEEE17d
A Survey on Hyperparameter Optimization of Machine Learning Models
Hyperparameters in machine learning are those variables that are set before the training process starts and regulate several aspects of the behavior of the learning algorithm. In contrast to model ...
IEEE24d
Federated Scientific Machine Learning for Approximating Functions and ...
By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs). In ...