Apple A13 Bionic VS Huawei Kirin 990 5G; Is $1 Billion AI Investment Not Enough?; R.I.P Python 2

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SyncedReview
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4 min readSep 15, 2019

AI Chip Duel: Apple A13 Bionic VS Huawei Kirin 990 5G
Manufactured with TSMC’s second-generation 7nm process, the new A13 Bionic packs 8.5 billion transistors, approximately 23 percent more than A12’s 6.9 billion. The A13 Bionic chipset will be embedded into Apple’s new iPhone 11, iPhone 11 Pro, and iPhone 11 Pro Max.
(Synced) / (Apple Events Keynote)

Executives Say $1 Billion for AI Research Isn’t Enough
The announcement Tuesday of a nearly $1 billion federal commitment toward artificial-intelligence research drew a mixed response from business leaders who said the U.S. needs to do more to maintain a competitive edge in AI.
(The Wall Street Journal)

R.I.P. Python 2: October 16, 2000 — January 1, 2020
The development and maintenance team behind Python 2 has started the countdown to the end of the popular programming language. In an official statement released on python.org, the volunteer team that manages the programming language announced they will sunset Python 2 on January 1, 2020.
(Python) / (Synced)

Technology

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
“We present a method to produce abstractive summaries of long documents that exceed several thousand words via neural abstractive summarization. We perform a simple extractive step before generating a summary, which is then used to condition the transformer language model on relevant information before being tasked with generating a summary.” Note: The abstract above was generated by one of the models presented in this paper.
(Element AI & Montréal Institute for Learning Algorithms & Université de Montréal & École Polytechnique de Montréal & Canada CIFAR AI Chair)

DeepPrivacy: A Generative Adversarial Network for Face Anonymization
Researchers propose a novel generator architecture to anonymize faces, which ensures 100% removal of privacy-sensitive information in the original face. They also provide the FDF dataset, including 1.47M faces with a tight bounding box and keypoint annotation for each face.
(Norwegian University of Science and Technology)

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Using an ensemble of batch-normalized networks, researchers improve upon the best published result on ImageNet classification: reaching 4.9% top-5 validation error (and 4.8% test error), exceeding the accuracy of human raters.
(Google)

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Chinese Gaming Giant NetEase Leverages AI to Create 3D Game Characters from Selfies
A team of researchers from the Chinese gaming giant NetEase have developed a method to automatically create players’ in-game characters from a standard portrait photo. They break down the details of their method the paper Face-to-Parameter Translation for Game Character Auto-Creation.
(Synced)

R.I.P. Python 2: October 16, 2000 — January 1, 2020
The development and maintenance team behind Python 2 has started the countdown to the end of the popular programming language. In an official statement released recently on python.org, the volunteer team that manages the programming language announced they will sunset Python 2 on January 1, 2020
(Synced)

Global AI Events

September 22: SYNC 2019 Silicon Valley: Tech For Good in Mountain View, United States

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

September 24–28: Microsoft Ignitein 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

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