The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...
Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...
The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...