AI is powerful, but it is not magic. Just because developers use AI tools does not mean outcomes will improve automatically.

Modular and open test architectures enable engineers to build the right solution for each challenge, whether integrating legacy systems, scaling into new applications, or adopting AI-driven analytics.

Overview: Leading players in the software industry are combining engineering, AI, and business strategy at scale.Cloud ...

Synopsys solutions accelerate innovation from systems to silicon, enabling more than 90% of the top 100 automotive suppliers ...

Bayer and Cradle today announced that they have entered a three-year strategic collaboration to deploy Cradle's scientific AI software platform for protein engineering. As part of the collaboration, ...

AI has transformed how software development companies using .NET technologies deliver effective and efficient services to ...

Industry-focused artificial intelligence, growing adoption of agentic systems and edge AI, “born in the AI era” cyberattacks ...

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...

The neural processing unit (NPU): Many laptops will mention an NPU, which is a specialized component reserved solely for AI-powered tasks like image generation and interacting with large language ...

Software designers can create software in minutes. Is that speed helpful for solving the initial problem? Or does it ...

Understand how rumored Apple A20 chip upgrades and improved efficiency cores could boost iPhone 18 battery life and iPhone 18 performance efficiency based on early leaks and analysis. Pixabay, kropekk ...