In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

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 ...

Upwork reports growing demand for AI, data science, finance, consulting, coding, customer service, and creative roles by 2025 ...

Advances in image processing and machine learning (ML) substantially affected unmixing. This article provides an overview of advanced and conventional unmixing approaches. In addition, we draw a ...

Meta has hired a key OpenAI researcher to work on AI reasoning models under its new AI superintelligence unit.

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 ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

For example, you can install seaborn for better visuals or xgboost for optimized machine learning models with a single line of code. Google Colab really does take care of package imports and other ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...