Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ...

In recent years, the integration of machine learning and robotics technologies in chemical analysis has transformed the landscape of scientific research and industry practices. This revolution is not ...

Recent advancements in AI are transforming how robots operate aboard the International Space Station (ISS). A new study published on the arXiv preprint server explores how AI is improving robot ...

Standing amid hundreds of people in the rotunda of Chicago's iconic Museum of Science and Industry, Ritika Ghosh (MSR '23) felt her confidence building. Ghosh was teaching people of all ages about a ...

Artificial Intelligence (AI) and Machine Learning (ML) based applications will play a pivotal role in building intelligent, ...

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

Through artificial intelligence, machine learning and robotics, Case School of Engineering’s researchers are developing technologies for smart cities, smart manufacturing, smart homes, smart ...

The course will start with a brief overview of how to upload and handle various types of biomedical data using Python. Supervised learning tasks such as regression and classification will be ...

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...