Meta Platforms Inc. today debuted an image generation model that can write code and search the web. Muse Image is the second ...

Auto Split helps turn generated or uploaded 3D models into printable FDM parts with smart cuts, watertight caps, and 3MF export.

Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically validated text optimization.

The combination of a large language model-based natural language processing (LLM-NLP) approach with standard diagnostic codes identified more cases of eosinophilic esophagitis (EoE) than diagnostic ...

Fermentation engineering is a cornerstone of modern biotechnology, playing a pivotal role in the production of pharmaceuticals, biofuels, food additives, and industrial enzymes. The escalating demand ...

Over the past decade or so, foundation models have emerged as the dominant paradigm for interacting with language, images, and code. Large Language Models (LLMs) can generate text. Vision models can ...

Well, we already have a thriving thread on how AI is going to change how SW gets written. Figured it's worth exploring a discusison on how MBSE is going to change how Systems work is done. Honestly, I ...

Anthropic appears to be preparing for the public rollout of "Mythos," which was announced in April as a restricted model that poses major security risks to private and public software. On April 7, ...

Google just unveiled a brand new AI world model at Google I/O 2026 called Gemini Omni. While Google calls Gemini Omni a "new model that can create anything from any output," its showcase focused on ...

Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...

Where does reasoning live? Model reasons; harness enforces. ~1.6% AI, 98.4% infrastructure. How many execution engines? One queryLoop for all interfaces (CLI, SDK, IDE). Default safety posture?