In 1969, Jack and Laura Dangermond launched Esri with a bold idea: geographic tools could help people understand – and ...

Overview Rapid innovation is reshaping the IT landscape - compelling professionals to learn high‑demand skills in cloud computing, AI, cybersecurity, and data s ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Alphabet-owned Google (GOOG) (GOOGL) on Tuesday said it has begun the foundational work for "Project Suncatcher," the tech giant's latest and most ambitious initiative to scale machine learning in ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Abstract: With the development of Industrial Automation, image recognition technology has been widely used in automated inspection. Based on the current machine learning methods, the paper designs and ...

A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI Co-Innovation Lab. GREEN BAY, Wis. - June 27, 2025 - BW Converting is ...

On 1,200 acres of cornfield in Indiana, Amazon is building one of the largest computers ever for work with Anthropic, an artificial intelligence start-up. On 1,200 acres of cornfield in Indiana, ...

Robust, deployable and collaborative machine learning (ML) methods are needed for AI to become truly useful. This ERC-funded research aims to solve a major ML bottleneck and will form a cornerstone of ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

SparseBERT is a research project that incorporates pruning techniques into transformer-based language models, aimed at creating more efficient models for resource-constrained environments. This ...