Overview: Explains why generative AI needs a new approach to software testingLists top tools transforming QA automation and evaluationExamines how QA roles and ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

The semiconductor industry is increasingly turning to artificial intelligence as the solution for increasing complexity in test analytics, hoping algorithms can tame the growing flood of production ...

This article explores how AI-augmented laboratories optimize high-throughput experimentation and improve efficiency in ...

Drug developers are increasing adoption of AI technologies for discovery and safety testing to get faster and cheaper results, in line with an FDA push to reduce animal testing in the near future.

With the AI-integration in most sectors today, the military domain is no exception. We are living in another transformative ...

The classic microscope is getting a modern twist—US researchers are developing an AI-powered microscope system that could make soil health testing faster, cheaper, and more accessible to farmers and ...

The next breakthrough in cancer screening is emerging from the convergence of artificial intelligence and canine biology. That’s the thesis behind SpotitEarly, a startup that recently launched in the ...

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.

A new artificial intelligence (AI) tool analyzing short smile videos achieved high accuracy in screening for Parkinson's disease (PD), according to research published by Tariq Adnan, M.Sc., and ...

The new courses for Full-Time MBA and Evening & Weekend MBA students will offer a practical foundation in emerging technologies through a cross-disciplinary lens. Artificial intelligence is ...