News

Study uses machine learning to map pH-dependent performance of tin catalysts
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
Machine learning outpaces supercomputers for simulating galaxy evolution coupled with supernova explosion
Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...
InfoWorld1d
AWS adds incremental and distributed training to Clean Rooms for scalable ML collaboration
The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...
Communications of the ACM1d
Thinking Fast and Slow in Human and Machine Intelligence
To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...
IEEE4d
Machine Learning Approaches for Reconfigurable Intelligent Surfaces: A Survey - IEEE Xplore
Next-generation wireless networks must handle a growing density of mobile users while accommodating a rapid increase in mobile data traffic flow and a wide variety of services and applications.
RCR Wireless News4d
AI in telecom – levelling-up with gen AI (beyond ML automation)
From call centres to back-office systems, telcos are navigating the shift from predictive ML to generative AI, balancing ...
IEEE4d
A Review of Machine Learning and Deep Learning Applications
Machine learning is one of the fields in the modern computing world. A plenty of research has been undertaken to make machines intelligent. Learning is a natural human behavior which has been made an ...