The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

By analysing videos of penalty kicks, a deep learning model was able to predict whether a shot would go to the goalkeeper’s ...

This deep dive covers the full mathematical derivation of softmax gradients for multi-class classification. #Backpropagation ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

This paper presents a novel adaptive learning-rate backpropagation neural network (ALR-BPNN) algorithm based on the minimization of mean-square deviation (MSD) to implement a fast convergence rate and ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...