Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Using an advanced machine-learning algorithm, researchers in the UK and Japan have identified several promising candidate locations for the long-lost landing site of the Soviet Luna 9 spacecraft.

In a traditional search model, you could earn attention. You optimized. You competed. You climbed. In an answer-driven model, ...

Abstract: Expensive constrained multi-objective optimization problems (ECMOPs) are prevalent in engineering practice and are characterized by extremely high evaluation costs for both objective and ...

If you’ve opened Google recently and felt like you were assigning a task to an assistant rather than typing keywords into a box, you aren’t alone. The ...

Companies ranging from OpenAI, Meta, Microsoft, and Google to smaller firms and startups are looking for high-quality AI ...

The final, formatted version of the article will be published soon. Abstract. Denial-of-service (DoS) attacks pose a major threat to various kinds of computer networks. There are several kinds of ...

Humanity’s first successful lunar lander is missing. Sixty years ago the Soviet Luna 9 became the first human-made object to ...

Scientists have spent decades searching for the final resting place of Luna 9, the first spacecraft to soft-land on the moon. Now they’re on the cusp of finding it ...

Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...

How can California State University, Northridge student athletes enhance their performances? Learning how to get a good night ...