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

Next-generation optical inspection is about more than just sensitivity. It’s about reliably seeing through complexity.

Jerod Johnson, senior technology evangelist, CData Software, and Phillip Miller, senior product marketing manager, AI, Progress, joined DBTA's webinar, Powering AI/ML & Analytics with Smarter Data ...

Senior Data Scientist Ankit Pathak received the 2025 Global Recognition Award for developing innovative machine learning ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

A I vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Cardiovascular disease (CVD) is the leading cause of death worldwide. A Machine Learning (ML) system can predict CVD in the early stages to mitigate mortality rates based on clinical data. Recently, ...

Fiber-optic ATR-IR spectroscopy enables real-time liver tumor classification during surgery, offering faster and more ...

A Caltech-led team has developed a safe, effective, and painless breast imaging technique that incorporates machine learning to help differentiate between suspicious and healthy tissue.