ACM, the Association for Computing Machinery, has named 71 new Fellows. ACM Fellows are registered members of the society and were selected by their peers for achieving remarkable results through ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Mobile CrowdSensing (MCS) has become a powerful sensing paradigm for information collection recently. As sensing becomes more ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data networks for hidden connections – from gene functions and disease mechanisms ...
Mobile CrowdSensing (MCS) has become a powerful sensing paradigm for information collection recently. As sensing becomes more complicated, it is ...
Gonzalo Arce College of Engineering — Electrical and Computer Engineering [email protected] Machine learning, data science, graph signal and data processing, geometrical neural networks, statistical ...
18hon MSN
Particle permutation task can be tackled by quantum but not classical computers, study finds
Quantum computers, systems that process information leveraging quantum mechanical effects, are expected to outperform ...
The Department of Computer Science offers minors in computer science for students who wish to develop stronger competence in computer science while pursuing a degree in another field. The minors ...
Situated within the McCormick School of Engineering and driven by the CS+X initiative, the Department of Computer Science (CS) at Northwestern University prepares students to perform impactful and ...
Blockchain could make smart devices far more secure, but sluggish data sharing has held it back. Researchers found that messy ...
Interesting Engineering on MSN
Graphene material that folds, moves, and senses could power next-gen soft robots
McGill University engineers have developed ultra-thin materials that can move, fold, and reshape themselves, ...
Transformer on MSN
Teaching AI to learn
AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?
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