Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under ...

Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers fundamental questions about what learning means and what can be learned via formal models of ...

Purdue University’s online Master of Science in Autonomy equips professionals with expertise in robotics, AI, and autonomous systems. Students will increase their knowledge of machine learning, ...

Two recent collaborations between mathematicians and DeepMind demonstrate the potential of machine learning to help researchers generate new mathematical conjectures. Mathematicians often work ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

(Nanowerk News) While science fiction movies depict robots moving freely on their own, sometimes running to avoid perilous explosions or collapsing buildings, today’s technology doesn’t have that ...