Apple A13 Bionic VS Huawei Kirin 990 5G; Is $1 Billion AI Investment Not Enough?; R.I.P Python 2
Synced Global AI Weekly September 15th
Category: Technology
Technical review of the newest machine intelligence research.
Nasty Language Processing: Textual Triggers Transform Bots Into Bigots
Now a group of researchers from the Seattle-based Allen Institute for Artificial Intelligence (AI2) have shown how trigger words and phrases can “inflict targeted errors” on natural language processing (NLP) model outputs, prompting them to generate racist and hostile content.
QAit AI Learns by Interacting With Its Environment
For an AI system to acquire knowledge the way humans generally do it would need to interact with its surroundings and extract information through its own attention and analysis choices. That’s the idea behind a new paper from Microsoft Research, Polytechnique Montreal, MILA and and the University of Montreal.
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.
R.I.P. Python 2: October 16, 2000 – January 1, 2020
In an official statement released today on python.org, the volunteer team that manages the programming language announced they will sunset Python 2 on January 1, 2020.
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.
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.
One Network to Fit All Hardware: New MIT AutoML Method Trains 14X Faster Than SOTA NAS
A group of MIT researchers (Han Cai, Chuang Gan and Song Han) have introduced a “Once for All” (OFA) network that achieves the same or better level accuracy as state-of-the-art AutoML methods on ImageNet, with a significant speedup in training time.
Chinese “DeepFake” App Goes Viral, Renewing Concerns About Potential Misuse of Face-Swapping Tech
A recently released Chinese deepfake mobile application, “ZAO,” enables just about anyone to easily swap faces with popular characters such as Sheldon Cooper in The Big Bang Theory, Marilyn Monroe’s Lorelei Lee in Gentleman Prefer Blondes, Jack Dawson in The Titanic, and so on.
Clone a Voice in Five Seconds With This AI Toolbox
A new Github project introduces a remarkable Real-Time Voice Cloning Toolbox that enables anyone to clone a voice from as little as five seconds of sample audio.
AI Video Colourization Without References or Human Guidance
If the great Charlie Chaplin were alive today he might well marvel at the artificial intelligence enabled colour versions of his comedy masterpieces such as Modern Times or The Idle Class.
Jack Ma and Elon Musk Debate AI in Shanghai; Apple Makes A Rare Apology; Self-Driving Taxi Concerns
Synced Global AI Weekly September 1st
Why AI Is Reading Your Resume and What Can You Do About It
Artificial intelligence can help companies navigate a global human resource market that is projected to reach US$30 billion by 2025, due in large part to technological proliferation.
Meet Microsoft Suphx: The World’s Strongest Mahjong AI
At the Shanghai World Artificial Intelligence Conference (WAIC) on August 29, Microsoft’s Global Executive Vice President Harry Shum officially introduced MSRA’s Suphx (“Super Phoenix”) as “the most powerful Mahjong AI in history,”
Adversarial Patch on Hat Fools SOTA Facial Recognition
Researchers from Lomonosov Moscow State University and Huawei Moscow Research Center have introduced a wearable card designed to perform the opposite function — concealing a person’s identity from facial recognition systems.
AI Creates Fashion Models With Custom Outfits and Poses
A new research paper from Berlin-based unicorn fashion and technology company Zalando uses generative adversarial networks (GANs) to produce high-resolution images of virtual fashion models ready to model clothes of any style.
OpenAI Method Evaluates Model Defense Against Unforeseen Adversarial Examples
To ramp up the robustness of neural networks, researchers from OpenAI have introduced a novel method that evaluates how well a neural network classifier performs against adversarial attacks that were not seen during their training.
California Startup Builds Worlds Largest AI Chip; Open AI Releases 774M Parameter Language Model; Waymo Shares Its Open Dataset
Synced Global AI Weekly August 25th
Autonomous Delivery Moves From Research Labs to the Streets
According to multinational consulting firm McKinsey & Company, by the year 2025 some 85 percent of last-mile deliveries will be carried by autonomous vehicles.
Huawei’s First Commercial AI Chip Doubles the Training Performance of Nvidia’s Flagship GPU
Ascend 910 delivers performance of up to 256 teraFLOPS under FP16 and 512 teraOPS under IN8 with declared max power consumption of 310W.
MIT & Adobe Introduce Real Time AR Tool for Storytelling
Researchers from MIT Media Lab and Adobe Research recently introduced a real-time interactive augmented video system that enables presenters to use their bodies as storytelling tools by linking gestures to illustrative virtual graphic elements.
Shared Machine Learning: Ant Financial’s Solution For Data Privacy
One of the world’s largest financial companies, Alibaba subsidiary Ant Financial, recently introduced Shared Machine Learning (SML) as their solution for data privacy.
AutoML + GAN = AutoGAN! AI Can Now Design Better GAN Models Than Humans
Thanks to the creation of AutoML — which is essentially automated neural architecture search (NAS) — AI can now design better deep neural networks than human researchers for computer vision tasks such as image classification and object detection.
How to Hide Your Feelings From AI Voice Assistants
No matter whether the conversations commence with “Ok, Google”, “Hello Alexa”, or “Hey Siri”, tech giants Apple, Amazon, Facebook, Google and Microsoft have all granted third-party contractors access to their users’ many interactions with voice assistants.
Seoul National University AI Uses Text Tags to Colourize Line Drawings
Let’s say you’ve just sketched a portrait but don’t have the inclination to hand-colour your creation. Wouldn’t it be nice if you could simply tell an artificial intelligence assistant what colours you want and have it do the rest? Well, now you can!
Hot Chips | A California Startup Has Built an AI Chip as Big as a Notebook. Why?
California artificial intelligence startup Cerebras Systems yesterday introduced its Cerebras Wafer Scale Engine (WSE), the world’s largest-ever chip built for neural network processing.
Of Mice and Machines: Can AI Read Rodents’ Minds?
Researchers from Two Six Labs and Stanford Schnitzer Lab have developed a deep learning system designed to explore the workings of the mouse mind and predict behavior by processing brain-based electrical activity with a neural network.
A Trio of Machine Learning & Language Technology Breakthroughs You Shouldn’t Miss
Synced Global AI Weekly August 18th
DeepMind ‘Bsuite’ Evaluates Reinforcement Learning Agents
Now AI researchers have created a similar evaluation system to assess the relative performance of reinforcement learning (RL) systems across different tasks.
Israeli AI Research Company Led by Stanford Professor and MobileEye CEO Introduces Model to Solve Text Ambiguity
Israeli research company AI21 Labs today published the paper SenseBERT: Driving Some Sense into BERT, which proposes a new model that significantly improves lexical disambiguation abilities and has obtained state-of-the-art results on the complex Word in Context (WiC) language task.
Facebook, Georgia Tech & OSU ‘ViLBERT’ Achieves SOTA on Vision-and-Language Tasks
A team of researchers from the Georgia Institute of Technology, Facebook AI Research and Oregon State University has proposed ViLBERT (Vision-and-Language BERT), a novel model for visual grounding that can learn joint representations of image content and natural language.
Does Deep Learning Still Need Backpropagation?
Now, researchers from the Victoria University of Wellington School of Engineering and Computer Science have introduced the HSIC (Hilbert-Schemidt independence criterion) bottleneck as an alternative to backpropagation for finding good representations.
New Snip Smartphone App Converts Math Screenshots Into LaTeX
Not so long ago, mathematics students and researchers had to spend a tedious amount of time writing out equations in the technical and scientific documentation typesetting system LaTeX.
PyTorch 1.2 Supports Transformer and Tensorboard; Summer Hackathon Announced
PyTorch v1.2 brings the machine learning community further improvements, including official support for Transformer, TensorBoard, and more.
Tencent-backed Video App Kuaishou Is Turning Chinese Country Folk Into Hollywood Directors
Thanks to social video app Kuaishou and its plug-and-play tools, even rural Chinese with cheap smartphones are quickly and easily producing short videos featuring Hollywood-style special effects.
DeepMind Loses $572M; KDD 2019 Best Papers; AI for Wildlife Conservation
Synced Global AI Weekly August 11st
Google AI & DeepMind Temporal Cycle-Consistency Learning Understands Every Video Frame
Frame-by-frame fine-grained labeling is however a time-consuming task. To tackle this problem, researchers from Google AI and DeepMind have introduced a novel self-supervised learning method called Temporal Cycle-Consistency Learning (TCC).
Semantic Based Adversarial Examples Fool Face Recognition
Researchers have proposed a new adversarial attack approach, SemanticAdv, which generates adversarial perturbations by manipulating not pixels but rather an image’s semantic attributes.
AI Analyzes Chess Commentary to Learn to Play Chess
What if an AI could learn to play Chess based only on human game commentary? That interesting task has been tackled by SentiMATE, a new Chess algorithm proposed by University College London.
South Korean Game Developer’s AI Turns Your Selfie Into an Anime Face
Last month a team of South Korean researchers proposed a method that uses unsupervised image translation to transform a simple selfie into a classic Japanese-style anime face.