Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Discover how high-content analysis enhances live-cell imaging by enabling detailed, quantitative insights into cellular ...

Scientists have tapped artificial intelligence and powerful computing to take a first step to speed up how quickly officials ...

A new Apple-backed AI model trained on Apple Watch behavioral data can now predict a wide range of health conditions more accurately than ...

Traditional vibration analysis falls short for slow-speed machinery. Augury’s AI-powered platform uses high-frequency ...

Artificial intelligence and machine learning are transforming acute respiratory distress syndrome (ARDS) management, enabling ...

Tools like Google Trends, Twitter (X), and other social media platforms surfaced as dominant data sources. Researchers ...

Research in the International Journal of Data Mining and Bioinformatics discusses a new approach to demand forecasting for the pharmaceutical retail sector based on an artificial intelligence model.

The best practice is to start with high-quality factory calibration traceable to international standards (e.g., NIST or ISO ...

In the case of flooding, human remains may be tangled among vegetation and debris. Therefore, a system could identify clumps of debris big enough to contain remains. A common search strategy is to ...

The Artificial Intelligence & Machine Learning graduate program provides students with the skills to succeed in AI. Further your tech career at Drexel CCI.

Albemarle's $50 million in annual savings from AI-driven process optimization shows manufacturing engineers how to transform ...