In March, NASA researchers employed a new camera system to capture data imagery of the interaction between Firefly Aerospace ...

One of the most important steps in the evolution of modern mammals was the development of highly sensitive hearing. The ...

From bicycles to rockets, learning through experience – whether human or machine – is shaping the future of space exploration ...

Daniel George came from detecting gravitational waves from black holes as part of a Nobel-prize winning team to building TwinMind, one of Silicon Valley’s most promising AI companies.

Abstract: This paper is aimed at using the newly developing field of physics informed machine learning (PIML) to develop models for predicting the remaining useful lifetime (RUL) aircraft engines. We ...

The intersection of Artificial Intelligence and interior design has historically suffered from a specific friction point: the ...

Introduction: Human pose estimation is a critical challenge in computer vision, with significant implications for robotics, augmented reality, and biomedical research. Current advancements in pose ...

One of the greatest inventions is the steam engine. But why? What makes it so useful? And how does it work? In this episode of Crash Course Physics, Shini talks to us about how engines work, what ...

Resistors & Batteries: Crash Course Physics #29 Season 1 Episode 29 | 9m 55s | CC Batteries power much of your daily life, so today we're going to talk about how they work. We're also explaining how ...

A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning. Most artificial-intelligence (AI) models can reliably identify patterns in data ...