Introduction: In the face of high uncertainty and complexity in financial markets, achieving portfolio return maximization while effectively controlling risk remains a critical challenge. Methods: We ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive optical networks, in particular, enable large-scale parallel computation ...

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.

The Golisano Institute for Business & Entrepreneurship in Rochester, NY offers accelerated, career-focused programs for students seeking a direct path into the business world. In just nine months, a ...

Despite the dizzying amount of change facing education today, exciting work is underway in communities around the country to build better learning environments for children, youth, and families.

Generative artificial intelligence could result in a renewed emphasis on conversational approaches to teaching, researchers say, as chatbots make it easier to bypass recall-based learning and test the ...

In this prank call, I rang a brand new primary school with some very strange questions — like asking if they offer ninja training, have nap time for adults, or allow emotional support crayons. The ...

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.