Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

A surge of funding and federal action is giving the once-futuristic technology a more immediate role in everything from ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

Studying the epic journey of the iconic jumping plumber can lead to new insights in theoretical computer science—and may help ...

Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...

Abstract: Inverse Kinematics (IK) is an integral part of robot manipulation. IK can be challenging to solve, and many computer-aided approaches have been proposed but each has its limitations. The ...

USB ports and cables are fundamental to our daily lives when interacting with most gadgets. However, as we use USB to charge our devices or transfer data from one computer to another, there's a big ...

Abstract: Object tracking is a major problem for many computer vision applications, but it continues to be computationally expensive. The use of bio-inspired neuromorphic event-driven dynamic vision ...

Quantum technology company Q-CTRL has published a whitepaper illustrating that quantum computing systems are rapidly maturing to begin addressing battlefield problems in areas like contested logistics ...

In October 2024 I attended a workshop at Harvard University where mathematicians talked through the uses of artificial intelligence in their field. Most were less worried about the future of math than ...

Using AI chatbots for even just 10 minutes may have a shockingly negative impact on people’s ability to think and problem-solve, according to a new study from researchers at Carnegie Mellon, MIT, ...