In this video, we explain vectors and derivatives as essential math methods used in physics, showing how they describe motion, direction, and change. Clear explanations and examples help connect ...

Foams are everywhere: soap suds, shaving cream, whipped toppings and food emulsions like mayonnaise. For decades, scientists believed that foams behave like glass, their microscopic components trapped ...

The robotics company behind the Neo humanoid robot, 1X, has unveiled a new AI model that it says understands the dynamics of the real world and can help bots learn new information on their own. This ...

Light can be sculpted into countless shapes. Yet building optical devices that can simultaneously manipulate many different optical patterns at once is extremely complicated, and remains a major ...

Master vectors quickly with this ultimate, easy-to-follow guide covering all the essentials. From magnitude and direction to vector addition, components, and real-world applications, this lesson ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

Forbes contributors publish independent expert analyses and insights. I am the President of Diversified, a CFP and author. Isaac Newton might not have written any financial playbooks, but his Third ...

Phishing remains one of cybersecurity’s most enduring threats, not because defenders aren’t evolving, but because attackers are adapting even faster. Today’s most effective campaigns aren’t just built ...

Quantum computers are beginning to become powerful tools for studying some of the most fundamental forces in the universe – and some of the trickiest to understand. Two experiments have used them to ...

The original version of this story appeared in Quanta Magazine. When she was 10 years old, Rose Yu got a birthday present that would change her life—and, potentially, the way we study physics. Her ...