Abstract: A mixed traffic environment of manual driving and automatic driving will become the norm in future intelligent transportation systems. The deep reinforcement learning (DRL) method has shown ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

A Mumbai police constable rescued a 9-foot python from a duct in Dharavi, which went viral online. Separately, two Indian ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

To support professionals in overcoming this gap, we have selected five university-backed AI programs that emphasise ...

From Cape Town to Tehran to Lima to Phoenix, dozens of cities across the globe have recently experienced water shortages. In the next five years the world’s demand for fresh water could significantly ...

Nearly a century ago, psychologist B.F. Skinner pioneered a controversial school of thought, behaviorism, to explain human and animal behavior. Behaviorism directly inspired modern reinforcement ...

An underwater voyage has revealed a network of creatures thriving at the bottom of deep-sea ocean trenches, researchers said in a newly published paper. The deep-sea trenches, also called Hadal ...

A new review of ocean data suggests that more than 99.999 percent of the global deep seafloor has never been seen by humans. But what does that really mean? “In scientific papers, some people [said] ...

Two particular phases in your nightly routine seem to play outsize roles in cognitive health. By Mohana Ravindranath A good night’s sleep isn’t just about the number of hours you log. Getting quality ...

Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...

Abstract: This article proposes a novel hierarchical motion planning strategy for multirotors, where the virtual goal (VG) oriented deep reinforcement learning (RL) and motion optimization are ...