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

Benchmarking Batch Deep Reinforcement Learning Algorithms
Fujimoto et al.: https://arxiv.org/abs/1910.01708
#MachineLearning #ArtificialIntelligence #ReinforcementLearning

To counteract phantom limbs, this work employs sensors and actuators, virtual reality and augmented reality, and deep learning to generate missing or dysfunctional limbs.

https://www.profillic.com/paper/arxiv:1910.01191

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

VECTOR’S CHIEF SCIENTIFIC ADVISOR, DR. GEOFFREY HINTON, WINS THE HONDA PRIZE 2019
https://vectorinstitute.ai/2019/09/20/vectors-chief-scientific-advisor-dr-geoffrey-hinton-wins-the-honda-prize-2019/ join : https://t.iss.one/ArtificialIntelligenceArticles

Tech in T.O.: Why Geoffrey Hinton, the ‘Godfather of A.I.,’ decided to live in Toronto
https://globalnews.ca/news/5929564/geoffrey-hinton-artificial-intelligence-toronto/

https://t.iss.one/ArtificialIntelligenceArticles

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

Postdoctoral Data Scientist Position for Driver AI Project in Grab-NUS AI Lab at National University of Singapore (NUS)

University: National University of Singapore



Location: Singapore



Position Title: Postdoctoral Data Scientist Position for Driver AI Project in Grab-NUS AI Lab



URL: https://ids.nus.edu.sg/opportunities-job-openings.html



Description:

We have a postdoctoral data scientist openings for the Driver AI project in our Grab-NUS AI Lab. The Driver AI project seeks to better understand driving behaviors and driver preferences based on transportation data.



Grab (https://www.grab.com/sg/) is Southeast Asia’s leading on-demand transportation platform. The Grab-NUS AI Lab is a collaboration with Grab and it is anchored at the Institute of Data Science at National University of Singapore. The Grab-NUS AI Lab aims to solve transportation challenges with intelligent insights and innovative services enabled by rigorous research in AI and data science.

The lab will focus on five key areas: passengers, drivers, traffic, locations, and big data AI platform. We will develop big data-driven machine-learning algorithms to predict and meet the needs of both the passengers and drivers, as well as to model and understand the city’s traffic and its locations better. The lab will also develop a state-of-the-art real-time visual and analytics AI platform to deploy the algorithms on big data.

The successful candidate(s) will conduct advance research on AI and data science in the Driver AI project, working together with experienced data scientists from Grab. The Driver AI Project is led by Professor Tan Kian-Lee from NUS’ Computing Department.



Requirements:

PhD in Computer Science or related field, with specialization related to data mining, machine learning, or databases;

Publications in top-tier conferences in Data Mining, Machine Learning, Databases and other relevant areas;

Prior research experience in transportation data (e.g. GPS data) analytics, especially on driving behaviours and preference, would be a plus;

Proficiency in large-scale programming systems for big data and AI;

Good oral and written skills in English;

Experienced in working in a team, with people of diverse skillsets, including industry end-users;

Passionate in working with developers and users to get solutions into use.



The appointment will be for one year, with the possibility to extend based on performance. Selected candidates will be offered with attractive/competitive salaries and benefits. If interested, please send your resume and a cover letter to [email protected].

Greate paper on controllable speach generation
https://google.github.io/tacotron/publications/semisupervised_generative_modeling_for_controllable_speech_synthesis/

Multiple AI/ML Postdoc and Research Scientist Positions
The Collaborative Robotics and Intelligent Systems (CoRIS) Institute at Oregon State University seeks applicants for multiple postdoc and research-scientist positions in the areas of machine learning, artificial intelligence, and related fields.



Applicants are particularly sought with interest and expertise in the following sub-areas:

Explainable AI - with emphasis on reinforcement learning and computer vision
Machine Common Sense - with emphasis on combining DNNs with symbolic methods
Robust AI - with emphasis on anomaly detection and robust reinforcement learning


The CoRIS institute at Oregon State University in Corvallis, Oregon contains a team of more than 25 faculty and 180 graduate students working across most areas of artificial intelligence and robotics. Our researchers regularly publish in top-tier venues and value high-quality collaborative research, both fundamental and applied. The positions have flexible starting dates, up to a 3 year duration, and competitive salaries and benefits.



Interested applicants should send a detailed CV with expression of interest to Dr. Alan Fern <[email protected]>, Dr. Thomas Dietterich <[email protected]>, and Dr. Fuxin Li <[email protected]> with the subject “Postdoc Application”. There is no fixed application deadlines and applications will be considered until the positions are filled.



Qualification:

A PhD in computer science, electrical engineering, statistics, mathematics, or related fields
A strong research record demonstrated by relevant publications in top conferences/journals
Strong communication skills and fluency in English
Highly-motivated, creative, and collaborative personality

COMPSCI 282BR - Interpretability and Explainability in Machine Learning
Instructor : Hima Lakkaraju - https://interpretable-ml-class.github.io
#interpretability #artificialintelligence #machinelearning

A Guide for Ethical Data Science
A collaboration between the Royal Statistical Society (RSS) and the Institute and Faculty of Actuaries (IFoA) : https://www.statslife.org.uk/news/4292-rss-and-ifoa-publish-new-ethical-guidance-on-data-science
#datascience #ethics #society

How Does Huawei Rise to Core AI Challenges?
https://www.cio.com/article/3444197/how-does-huawei-rise-to-core-ai-challenges.html

"I'm sorry Dave, I'm afraid I can't do that" Deep Q-learning from forbidden action. https://arxiv.org/abs/1910.02078

Mapping (Dis-)Information Flow about the MH17 Plane Crash. https://arxiv.org/abs/1910.01363

Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions. https://arxiv.org/abs/1910.01329

"At least 40% of startups in Europe that claim to use AI are lying" - Verge

Read Article: https://www.theverge.com/2019/3/5/18251326/ai-startups-europe-fake-40-percent-mmc-report
Read this interesting 150 page report by MMC group: https://www.mmcventures.com/wp-content/uploads/2019/02/The-State-of-AI-2019-Divergence.pdf

WHAT’S STATE OF THE ART IN AUTOML IN 2019?
https://www.topbots.com/automl-state-of-the-art-2019/