Remove 2008 Remove Computer Science Remove Deep Learning
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Meet the Research Scientist: Shirley Ho

NYU Center for Data Science

What sets Dr. Ho apart is her pioneering work in applying deep learning techniques to astrophysics. I’m excited to be part of CDS because it provides a unique environment where cutting-edge data science methods can be developed and applied to push the boundaries of science,” said Ho.

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AI-discovered drugs will be for sale sooner than you think

Flipboard

Zhavoronkov has a narrower definition of AI drug discovery, saying it refers specifically to the application of deep learning and generative learning in the drug discovery space. The “deep learning revolution” — a time when development and use of the technology exploded — took off around 2014, Zhavoronkov said.

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

His research focuses on distributed/federated machine learning algorithms, systems, and applications. in Computer Science from the University of Southern California , Los Angeles, USA. in Electrical Engineering and Computer Sciences from UC Berkeley in 2008. Chaoyang He is Co-founder and CTO of FedML, Inc.,

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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008.

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[Latest] 20+ Top Machine Learning Projects for final year

Mlearning.ai

Machine learning has become a transformative technology across various fields, revolutionizing complex problem-solving. With the advancement of technology, machine learning, and computer vision techniques can be used to develop automated solutions for leaf disease detection. We have the IPL data from 2008 to 2017.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning. In 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer.

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

Journal of machine learning research 9, no. Grad-cam: Visual explanations from deep networks via gradient-based localization.” Prior to AWS, he obtained his MCS from West Virginia University and worked as computer vision researcher at Midea. Haibo Ding is a senior applied scientist at Amazon Machine Learning Solutions Lab.

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