Abstract: Fringe projection profilometry (FPP) is a leading optical technique for high-speed and efficient 3-D measurements, crucial in automation for enhancing efficiency, quality, productivity, and ...

CNBC put the AI threat to software companies to the test by vibe-coding a version of the tools from Monday.com. Silicon Valley insiders say the most exposed software names are the ones that "sit on ...

Goose acts as the agent that plans, iterates, and applies changes. Ollama is the local runtime that hosts the model. Qwen3-coder is the coding-focused LLM that generates results. If you've been ...

Vibe coding is a new way to create software using AI tools such as ChatGPT, Cursor, Replit, and Gemini. It works by describing to the tool what you want in plain language and receiving written code in ...

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...

Lindsey Ellefson is Lifehacker’s Features Editor. She currently covers study and productivity hacks, as well as household and digital decluttering, and oversees the freelancers on the sex and ...

WordPress’s experimental AI development tool, Telex, has already been put to real-world use, only months after its September debut. At the company’s annual “State of the Word” event on Tuesday in San ...

Vibe coding is a software development practice that uses an AI chatbot-like workflow to transform natural language prompts into functional code, allowing you to build apps from scratch without writing ...

EMBL researchers created SDR-seq, a next-generation tool that decodes both DNA and RNA from the same cell. It finally opens access to non-coding regions, where most disease-associated genetic variants ...

Qiang Tang receives funding from Google via Digital Future Initiative to support the research on this project. Moti Yung works for Google as a distinguished research scientist. Yanan Li is supported ...

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.