From machine learning to voting, the workings of the world demand randomisation, but true sources of randomness are ...

Abstract: In this paper, the application of transfer learning techniques in the domain of thermal neural networks within the context of electric vehicles is addressed. For the increasing integration ...

Reactive planning and control capacity for collaborative robots is essential when the tasks change online in an unstructured environment. This is more difficult for collaborative mobile manipulators ...

So when he entered civilian life, it’s not surprising that he ended up finding a home and success in the chaotic life that is ...

Abstract: The learning of fundamental quantum properties—namely coherence, discord, and entanglement—benchmarks the security, computational, and metrological capability of noisy intermediate-scale ...

IIT Madras’ free 2026 ‘Introduction to Machine Learning’ course offers a concept-driven, maths-backed path into AI. Across 12 weeks, it revises probability and linear algebra, then moves through ...