WebBrief Bio: Raghavender is one of Canada's leading AI entrepreneurs and currently the Co-founder and CEO of NuPort Robotics, Canada's first autonomous trucking company. Raghavender was listed in the Forbes 30 under 30 list in North America in the Manufacturing & Industry category. He also received the BITSAA Global 30 under 30 award recently … Web3 Answers. I can't think of any papers using deep learning. That doesn't mean they don't exist but the large sample sizes needed for training are hard to come by. For applications, there are recent general machine learning papers by Susan Athey and by Sendhil Mullainathan that you should look at. Also look at Victor Chernozhukov's recent research.
Deep Learning: Current State IEEE Journals & Magazine IEEE …
WebMy research focus is on applying statistical methods, big data analysis and machine learning based techniques to various cardiovascular cohorts. I have a recognized publication track record ranging from analytical physiologic studies, bench-based research to epidemiologic studies and deep learning-based research in cardiovascular disease. WebJul 14, 2024 · The chapter addresses the kernel technologies and industrial applications of deep learning in China in detail. Discover the world's research 20+ million members motherboard e145483 ms11
Deep Learning International Journal of Semantic Computing
WebApr 27, 2024 · Deep learning is a rapidly growing domain in AI. Due to its challenges about size and diversity of data, AI experts like Geoffrey Hinton, Yoshua Bengio, Yann LeCun who received 5 the Turing prize for their work on deep learning and Gary Marcus suggest new methods to improve deep learning solutions. These methods include introducing … WebDeep learning is a branch of machine learning that tries to model high-level abstractions of data using multiple layers of neurons consisting of complex structures or non-liner transformations. With the increase of the amount of data and the power of computation, neural networks with more complex structures have attracted widespread attention and … WebNov 30, 2024 · The genomic status of gliomas can be estimated by deep learning models trained on MR images that can predict isocitrate dehydrogenase 1 mutation status and O6-methylguanine-DNA methyltransferase promotor methylation status with an accuracy of 0.94 and 0.83, respectively . motherboard e210mab