A team of physicists used ChatGPT to help crack a long-standing problem in quantum field theory, producing a new closed-form ...

Researchers have long been puzzled by the observed cooling of the eastern tropical Pacific and the Southern Ocean ...

Today, we know a lot about distance work and how to make it work. Thirty years of federally funded research brought ...

Abstract: Traffic congestion and inefficiencies in transportation networks pose significant challenges to road safety, travel times, and environmental sustainability. Traditional traffic management ...

Embedded Anthropic engineers have spent six months at Goldman building autonomous systems for time-intensive, high-volume back-office work. The bank expects efficiency gains rather than near-term job ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

Explore the mechanics of flight by building a working model to understand helicopter power! 🚁🔧 This hands-on tutorial demonstrates how helicopters generate lift, how power is distributed, and the ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic rays—particles arriving at high speed from outer space. Anderson built an improved ...

Abstract: A physics-data-driven economic model predictive control (EMPC) is proposed in this article for effective energy harvesting in wave energy converters (WECs). By combining artificial ...

Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into ...

Vehicle trajectory prediction plays a vital role in intelligent transportation systems and autonomous driving, as it significantly affects vehicle behavior planning and control, thereby influencing ...