AI AI Weekly

Microsoft Build and Google I/O Pledge Better AI; ICLR 2019 Announces Best Papers

Synced Global AI Weekly May 12nd

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I/O 2019 | Your Data Stays on Your Phone: Google Promises a Better AI
The success of artificial intelligence is built on large corpuses of centralized data collection, but rising concerns over user privacy and data misuse have left many people wary of fully embracing AI on their mobile devices. Google wants to change that.
(Synced)


Google I/O 2019
– Google I/O 2019 Keynote
– Google I/O 2019 | Geoffrey Hinton Says Machines Can Do Anything Humans Can
– Google Adds Translation, Object Detection and Tracking, and AutoML Vision Edge to ML Kit
– Google Cloud Makes Pods with 1,000 TPU Chips Available in Public Beta
Google Is Testing Mini-Apps in Search and Google Assistant
– Google’s Project Euphonia Wants to Make Voice Recognition Work for People with Speech Impairments
– Google Brings Augmented Reality to Search
– Google Renames Home Hub to The Nest Hub and Releases A 10-inch Nest Hub Max


Microsoft Build 2019
– Microsoft Build 2019 Keynote
– AI-Driven Collaboration and Hybrid-Cloud Innovations for Microsoft 365 & Azure
– Microsoft Is Making Cortana Better at Holding Conversations
– Microsoft Introduces Power BI Embedded Enhancements and PowerApps updates
– Microsoft Launches A New Platform for Building Autonomous Robots


Papers from ICLR 2019
– MILA, Microsoft, and MIT Share Best Paper Honours
Best Paper of ICLR 2019 | Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Best Paper of ICLR 2019 | The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
– Tsinghua, Google and ByteDance Propose Neural Networks for Inductive Learning & Logic Reasoning

Technology

MixMatch: A Holistic Approach to Semi-Supervised Learning
In this work, researchers unify the current dominant approaches for semi-supervised learning to produce a new algorithm, MixMatch, that works by guessing low-entropy labels for data-augmented unlabeled examples and mixing labeled and unlabeled data using MixUp.
(Ian Goodfellow & Google Research)


Few-Shot Unsupervised Image-to-Image Translation 
Researchers seek a few-shot, unsupervised image-to-image translation algorithm that works on previously unseen target classes that are specified, at test time, only by a few example images. Their model achieves this few-shot generation capability by coupling an adversarial training scheme with a novel network design. 
(NVIDIA & Cornell University & Aalto University)


Adversarial Examples Are Not Bugs, They Are Features
Researchers demonstrate that adversarial examples can be directly attributed to the presence of non-robust features: features derived from patterns in the data distribution that are highly predictive, yet brittle and incomprehensible to humans.
(MIT)

You May Also Like

An Introductory Guide to Computer Vision
In this guide, you’ll learn about the basic concept of computer vision and how it’s used in the real world. It’s a simple examination of a complex problem for anybody who has ever heard of computer vision but isn’t quite sure what it’s all about and how it’s applied.
(Tryolabs)


‘Abandon US’ Petition Protests AI Conference Visa Denials
A French-based research scientist has collected almost 300 signatures on an online petition calling for organizers of major computer science conferences such as SIGGRAPH, NeurIPS, ICML, CVPR, etc. to exclude the US as a host. 
(Synced) 

Global AI Events

May 23-24: Deep Learning Summit in Boston, United States

May 27-28: SingularityU Nordic Summit in Helsinki, Finland

June 4-7: Amazon re:MARS in Las Vegas, United States

June 15-21: Computer Vision and Pattern Recognition in Long Beach, United States

June 10-12:World Conference on Robotics and AI (WCRAI) in Osaka, Japan

Global AI Opportunities

Research Scientist, Google Brain Toronto

OpenAI is looking for software engineers and deep learning

DeepMind is Recruiting

DeepMind Scholarship: Access to Science

Postdoctoral Researcher (AI) – Self-Supervised Learning

LANDING AI is recruiting


Stay tight with AI! 
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1 comment on “Microsoft Build and Google I/O Pledge Better AI; ICLR 2019 Announces Best Papers

  1. Pingback: Microsoft Build and Google I/O Pledge Better AI; ICLR 2019 Announces Best Papers – NewsChest Technology

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