Data Science
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CVPR 2019
Tech Leaders

[CVPR 2019 AI Talk] Prof. Ji Liu @ Kuaishou Seattle AI Lab: Deep Learning For Social Video Sharing

Dr. Ji Liu shared his research experience in deep learning and as an assistant professor and Director at Kuaishou AI Labs

By

Robin.ly

on

September 25, 2020

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CVPR 2019
Tech Leaders

[CVPR 2019 AI Talk] Apply Deep Learning in Medical Research. Le Lu, Executive Director @ PAII Inc.

Dr. Le Lu shared his insights on modern medical imaging, his work at PAII Inc. and the future of deep learning in medical research.

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CVPR 2019
Tech Leaders

[CVPR 2019 AI Talk] Gang Hua, VP & Chief Scientist @ Wormpex AI Research

Dr. Hua shared inspiring thoughts on the trends and challenges of computer vision and the future of Artificial Intelligence.

By

Robin.ly

on

September 25, 2020

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NeurIPS 2019
Tech Leaders

Nuria Oliver, Co-Founder @ ELLIS: Facilitate Multi-nation Collaboration for AI Research in Europe

Exclusive interview at NeurIPS 2019 about European Lab for Learning & Intelligent Systems (ELLIS) with Nuria Oliver.

By

Robin.ly

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September 25, 2020

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NeurIPS 2019
Tech Leaders

Max Welling @ University of Amsterdam & Qualcomm: The Future of Distributed Learning

Max Weiling of University of Amsterdam and VP of Technologies at Qualcomm Netherlands goes over some insights on machine learning, computing, AI, and more.

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Robin.ly

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September 25, 2020

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NeurIPS 2019
Research Spotlights

[NeurIPS 2019 Outstanding New Directions Paper Award] Nagarajan & Kolter on Uniform Convergence

This blogs features NeurIPS 2019 Outstanding New Directions Paper Award winners, Vaishnavh Nagarajan and J. Zico Kolter. They explain how negative results showing that many existing bounds on the performance of deep learning algorithms don’t do what they claim.

By

Robin.ly

on

September 25, 2020

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NeurIPS 2019
Tech Leaders

Peter Richtarik @ KAUST, Saudi Arabia: Managing Data Privacy In The AI Era

Importance and limitations of data privacy, and the past and future of machine learning.

By

Robin.ly

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September 25, 2020

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AI
Research Spotlights

New Machine Learning Application by Tech Giants

Demystify the machine learning models behind new AI applications by Google, Facebook, Amazon, Twitter, and Pinterest.

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CrossMInds.ai

on

September 16, 2020

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Data Science
Research Spotlights

Latest developments in Graph Neural Networks (GNNs)

Graph Neural Networks (GNNs) has seen rapid development recently. This blog provides a quick introduction to the methodology and summarizes some of the latest research on GNNs from top AI conferences.

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CrossMInds.ai

on

September 16, 2020

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Data Science
Career Guides

Day-to-day as an Applied Scientist at Amazon

For a data scientist, what does an average (and non-average) day look like? What’s great (and not so great) about the role? How’s working in Amazon like?

By

Eugene Yan

on

October 3, 2020

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ECCV 2020
Community Sharing

Generating Novel Content without Dataset - Rewriting the rules in GAN: Copy & paste features contextually

This article looks into a new ECCV 2020 paper "Rewriting A Deep Generative Model" that enables direct editing of the GAN model to provide the desired output even if it does not match the dataset.

By

Fathy Rashad

on

October 1, 2020

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AI
Event Highlights

2019 AI Commercialization Conference: Trends & Challenges

The 2019 AI Commercialization Conference features renowned AI tech leaders with extensive industry experience as guest speakers and a live panel discussion where they share their insight on the future of transportation.

By

Robin.ly

on

September 25, 2020

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