A normative computational model of individual differences in mouse exploration driven by reward and threat uncertainty as well as risk sensitivity when faced with a novel object in an open field.

Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...

A research team led by professor Olivia Merkel, Chair of Drug Delivery at LMU and co-spokesperson of the Cluster for Nucleic ...

Raspberry Pi has long been a proving ground for creative hacks that stretch low-cost hardware far beyond its original brief, ...

When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...

This study reveals how GGBS, eggshell powder, and waste glass powder improve concrete's mechanical properties while promoting ...

UW received a $10 million gift from philanthropists Charles and Lisa Simonyi to launch a new campus-wide artificial ...

Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best ...

The development of artificial intelligence (AI) can be traced back to the theoretical concepts that emerged in the mid-20th ...

Project will create over 300 jobs and support innovative solutions to boost R&D and advanced networking in Canada OTTAWA, ON, Nov. 25, 2025 /CNW/ - Today, the Honourable Evan Solomon, Minister of ...

Interactive platforms like Codecademy and Dataquest.io let you learn and code right in your browser, making python online ...