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Facebook Leaks Data of 419M Users; NeurIPS 2019 Accepted Papers Announced; AI Passes 8th Grade Science Test

Synced Global AI Weekly September 8th

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Unsecured Facebook Databases Leak Data Of 419 Million Users
The latest blow to the new privacy-friendly Facebook facade came just last night as news of a data leak exposing the phone numbers linked to 419 million user accounts broke. This security SNAFU really couldn’t have come at a worse time for Facebook, as is evidenced by the efforts to minimize the number of phone numbers concerned.

NeurIPS 2019 Accepted Papers Are Out
The 2019 Conference on Neural Information Processing Systems (NeurIPS) runs December 8 – 14 in Vancouver. Organizers have now published the full list of the 1429 NeurIPS 2019 accepted papers on their website.
(NeurIPS 2019)

AI Breakthrough: Passing an 8th-Grade Science Test
The Allen Institute for Artificial Intelligence, a prominent lab in Seattle, unveiled a new system that passed an eighth-grade science test with room to spare. It correctly answered more than 90 percent of the questions, and also scored more than 80 percent on a 12th-grade exam.
(The New York Times)

Facebook Introduces Dataset & Challenge to Counter DeepFakes
In collaboration with Partnership on AI, Microsoft, and academics from top universities, Facebook today announced the Deepfake Detection Challenge (DFDC) with the aim of finding innovative deepfake detection solutions to help the media industry spot videos that have been morphed by AI models.
(Synced) / (Deepfake Detection Challenge)


ChipGAN: A Generative Adversarial Network for Chinese Ink Wash Painting Style Transfer
A new paper proposes ChipGAN, an end-to-end Generative Adversarial Network based architecture for photo to Chinese ink wash painting style transfer. The core modules of ChipGAN enforce three constraints – voids, brush strokes, and ink wash tone and diffusion – to address three key techniques commonly adopted in Chinese ink wash painting.
(Peking University & Tsinghua Univerisity)

Progressive Face Super-Resolution via Attention to Facial Landmark
The main challenge of face Super-Resolution (SR) is to restore essential facial features without distortion. Researchers propose a novel face SR method that generates photo-realistic 8x super-resolved face images with fully retained facial details.
(Korea Advanced Institute of Science and Technology)

Face-to-Parameter Translation for Game Character Auto-Creation
In this paper researchers proposes a method for automatically creating in-game characters of players according to an input face photo. This method has been deployed in a new game last year and has now been used by players over 1 million times.
(NetEase Fuxi AI Lab & University of Michigan & Beihang University & Zhejiang University)

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Mirror, Mirror on the Wall, AI Knows Where You Are
A group of Chinese researchers have come up with a novel method for identifying mirrors in images which outperforms state-of-the-art detection and segmentation methods on targeted baselines.

Clone a Voice in Five Seconds With This AI Toolbox
This Github repository was open sourced this June as an implementation of the paper Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. The project was developed by Corentin Jemine, who got his Masters in Data Science at the University of Liège and works as a machine learning engineer at Resemble AI in Toronto.

Global AI Events

September 10-12: The AI Summit (Part of TechXLR8) in Singapore

September 24-28: Microsoft Ignite in Orlando, United States

October 23-25: NVIDIA’s GPU Technology Conference (GTC) in Munich, Germany

October 27-November 3: International Conference on Computer Vision (ICCV) in Seoul, South Korea

Global AI Opportunities

DeepMind Internship Program
NVIDIA Graduate Fellowships
DeepMind Scholarship: Access to Science
LANDING AI is recruiting
Stanford HAI is Recruiting
OpenAI Seeking Software Engineers and Deep Learning Researchers
DeepMind is Recruiting

Stay tight with AI!
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