AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

From technical compromise to AI-driven attacks, cyber criminals increasingly see software developers as prime targets, creating systemic risks CISOs must address.

Satyashil Awadhare developed an AI tool to increase large company's revenue and help developers manage and build a strategy ...

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something that can, in some cases, build entire applications from a text prompt. Tools ...

Knowing how to talk to AI" is no longer enough. To stay relevant, developers and workers must master the systematic ...

On Tuesday afternoon, Bob Starkey was in the LSU women’s basketball team’s locker room when he decided to take out his phone and snap a photo he’d later post to Instagram. Starkey wanted people to see ...

Artificial intelligence (AI) is the new arms race and the centerpiece of defense modernization efforts across multiple countries, including the United States. Yet, despite the surge in AI investments, ...

Car manufacturers are quickly learning that a software-defined vehicle is not an easy thing to, well, define. It’s a whole new world for auto manufacturers who once just had to worry about suspension ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Some say platform engineering has entered its trough of disillusionment phase. A combination of high cognitive load, lack of business alignment, and difficulty encouraging adoption of internal ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.