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 ...

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 ...

Swedish vibe-coding startup Lovable has more than tripled its valuation in just five months. Stockholm-based Lovable on Thursday said it had raised $330 million in a Series B funding round that was ...

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 ...

Is the data publicly available? How good is the quality of the data? How difficult is it to access the data? Even if the first two answers are a clear yes, we still can’t celebrate, because the last ...

With a government shutdown that's left people without pay, ceased SNAP benefits, and the rising cost of groceries in general, Americans are having a tough time. One way that some people are coping ...

Everything old is new again. History repeats itself. I keep thinking of these aphorisms while considering the Tea App breach, which involved an unauthenticated ...

In this lecture video I am explaining what are solid design principles. I am composing a .NET Core 7 WPF project to demonstrate each one of the principles of the solid design in C-Sharp programming ...

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 ...

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.