In a world where machines can code, true intelligence lies in designing the logic that drives them. The future belongs to those who think independently, critically and algorithmically, not ...

Over the past two decades, synthetic biology has fueled advancements across a broad range of disciplines, including agriculture, bioremediation, biofuel production, and chemical manufacturing. Today, ...

By borrowing ideas from the brain, UT Dallas researchers have created hardware that learns on its own with minimal energy use ...

In a world dominated by algorithms, it's common to associate them with a negative bias. Mathematician Clara Grima defends ...

Samsung Electronics Co. Ltd. said today it’s partnering with Nvidia Corp. to build an “AI Megafactory” that will accelerate ...

The University of Washington’s Allen School is tackling six “grand challenges” in computer science — from AI and education to ...

The company remains tight-lipped on how it uses customer content to train its own AI model, which can generate layered ...

Brain scans show that most of us have a built-in capacity to learn to code, rooted in the brain’s logic and reasoning ...

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...

Learning to code doesn’t require new brain systems—it builds on the ones we already use for logic and reasoning.

Developed by the Guangdong Institute of Intelligent Science and Technology in collaboration with two of its incubated firms, the system combines the scale of advanced data ...

Parts of the brain are "rewired" when people learn computer programming, according to new research. Scientists watched ...