Explore how universities must adapt to AI-driven changes in education or risk becoming obsolete in today's learning landscape.

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

Penn Engineers have developed a system that lets robots see around corners using radio waves processed by AI, a capability ...

In 1977, Farber joined the University of Delaware as a professor of electrical engineering and professor of computer science. There, he led the development of the Multichannel Memorandum Distribution ...

A novel quantum computer - described as launching the journey into unknown dimensions - has officially been put into ...

Lucas Tudor, a student at Harmony Science Academy in Leander, developed the glasses after he says he needed perspective.

Akima, a leading provider of mission-focused solutions to the federal government, announced today the appointment of Marcus ...

By understanding automation as a continuum — from water wheels to factory assembly lines to modern LLMs — students develop frameworks for thinking about any tool that might emerge, rather than just ...

From advanced nickel alloys to subsea monitoring systems, this article examines how materials science, surface engineering, ...

In 2026, healthcare technology executive Siddhartha Arora has emerged as a key architect of "high-touch" clinical systems designed to solve the chronic staffing and access crises in rural America. As ...

Researchers have developed a new system that could help improve safety of driverless cars.