The first is the convergence of software and data engineering disciplines. The second is the rise of generative AI, which is accelerating both technical and organizational change. The Convergence Of ...

Engineers who understand how to impose structure around model behavior play a critical role in turning experimental workflows ...

With electrification rapidly moving from niche to necessity, the real test now is to develop EV technology that works as ...

Resolving AI agent context limits is the next aim for engineering leaders trying to guarantee better software output.

Explore how software-defined manufacturing is revolutionizing the automotive industry with factory operating systems that ...

The computing community has largely treated AI hallucinations as a model problem. The default path to reliability has been model improvement: better training data, larger context windows, retrieval ...

New design, verification and simulation solutions to re-engineer AI-powered product innovation at Synopsys Converge 2026. Unveils Synopsys Multiphysics Fusion ...

Ansys 2026 R1 introduces generative AI and the portfolio's first agentic capabilities, bolstering an AI-enhanced portfolio that accelerates validation, speeds design exploration, and automates complex ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

If we want AI-assisted development to actually scale, we need to confront the barriers to deploying AI-generated code safely ...

Open platform enables seamless integrations with a comprehensive technology ecosystem and cloud‑based deployment to improve ...