The billion-dollar prediction markets industry began like a joke: Three economists walked into a bar.

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

A team of Apple researchers set out to understand what real users expect from AI agents, and how they’d rather interact with ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

During his more than two decades with Nvidia, Rev Lebaredian has had a ringside seat to the show that has been the evolution of modern AI, from the ...

Focus on One Area: Robotics is broad. You could focus on programming first, then move to electronics, or vice versa. Trying ...

Abstract: In this article, we systematically study the electromagnetic (EM) and communication aspects of an RIS through EM simulations, system-level and ray tracing (RT) simulations, and finally ...

Abstract: At the stage of implementation of simulation models, the investigator is to perform two interrelated procedures, i.e. processing of the results of the simulation experiment, and presenting ...