Studies of noisy hydraulic or pneumatic-powered operations don’t typically linger on operator discomfort, on wincing or ...

Abstract: Algorithms are presented for detecting errors and anomalies in programs which use synchronization constructs to implement concurrency. The algorithms employ data flow analysis techniques.

Common use cases of AI in the supply chain illustrate the benefits for companies of integrating AI into their operations. Attorneys supporting the supply chain function can similarly use generative AI ...

Redefining Intelligence in the Autonomous Enterprise Era In a business landscape defined by rapid change and digital ...

In 2025, the person you just hired might not be a person at all. Sounds dramatic? It’s not. Deepfakes have officially entered the corporate chat...Read More The post Can Deepfakes Fool Your HR or IT ...

Abstract: A data flow anomaly in a program iB an indication that a programming ... and can be applied in conjunction with a conventional program test to achieve increased error-detection capability.

This article examines how product leaders can leverage AI to integrate it into QA workflows, transforming testing from a ...

With standard AI, we build prompts, define logic and teach the models how to behave. With agentic AI, we create systems that ...

In today’s semiconductor industry, machine learning (ML) is no longer a buzzword — it’s an operational necessity. From ...

Overcoming test data hurdles with realistic synthetic dataQuality datasets are crucial for AI training, but the need to protect real-world data can slow development and implementation. By Bryn Davies, ...

In the journey of moving from "data-driven" to "data-informed," it is imperative that product leaders understand the data ...