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1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
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Deep Reinforcement Learning

CS 294-112 at UC Berkeley | Instructor Sergey Levine

Lecture Slides : https://rail.eecs.berkeley.edu/deeprlcourse/

#artificialintelligence #deeplearning #reinforcementlearning
Paper by Li Fei-Fei

Causal Induction from Visual Observations for Goal Directed Tasks

https://arxiv.org/abs/1910.01751

#MachineLearning #DeepLearning #ArtificialIntelligence
On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps
William H. Guss and Ruslan Salakhutdinov : https://arxiv.org/abs/1910.01545
#ArtificialIntelligence #FunctionalAnalysis #MachineLearning
This awesome story for medical image processing from ETH Zürich #AI researchers needs to be told!

They used #artificialintelligence to improve quality of images recorded by a relatively new biomedical imaging method.

This paves the way towards more accurate #diagnosis and cost-effective devices.

How awesome is that!

Important note on optoacoustic tomography
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They used #machinelearning method to improve optoacoustic imaging. This relatively young #medicalimaging technique can be used for applications such as visualizing blood vessels, studying brain activity, characterizing skin lesions and diagnosing breast cancer.

Paper is here: https://www.nature.com/articles/s42256-019-0095-3
Code: https://github.com/ndavoudi/sparse_artefact_unet
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#tomography #deeplearning #healthinformatics #patientoutcomes #diagnostics Neda Davoudi
Postdoc position in BioInformatics at Emory School of Medicine, Atlanta, USA
In its 2020 rankings of the best medical schools in the United States, U.S. News and World Report placed Emory University School of Medicine at #24 in research and #35 in primary care. The same publication also placed Emory at #22 for Clinical Medicine in its World Universities ranking of the same year. Times Higher Education World University Rankings placed the School of Medicine at #32 in the world for Clinical/Pre-clinical and Health in its 2019 rankings list.



Department of Biomedical Informatics at Emory School of Medicine is searching for a postdoctoral scholar. The Laboratory is led by Dr. Imon Banerjee (website), who is also affiliated with the Departments of Radiology and Biomedical Informatics at Emory University School of Medicine. The lab focuses on cutting‐edge research at the intersection of imaging science and biomedical informatics, developing and applying AI methods to large amounts of medical data for biomedical discovery, precision medicine, and precision health (early detection and prediction of future disease).



The postdoctoral scholar will be working on two core research topics: (1) develop foundational AI methods for analyzing and extracting information from clinical texts; (2) develop clinical prediction models using multi-modal and longitudinal electronic medical records (EMR) data. The scholar will work closely with medical professionals to deploy and evaluate these methods as clinical applications to transform medical care.



Requirements:



Post-graduate degree (PhD or MD, completed or near completion) in biomedical data science, informatics, computer science, engineering, statistics, computational biology, or a related field, with a background or interest in imaging
Experience in machine learning and AI, particularly in computer vision and natural language processing
Strong record of distinguished scholarly achievement
Outstanding communication and presentation skills with fluency in spoken and written English
Established record of distinguished scholarly achievement


Interested applicants should submit a Curriculum Vitae, a brief statement of research interests using this link: https://faculty-emory.icims.com/jobs/42390