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.
Month: August 2019
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.
Data Annotation: The Billion Dollar Business Behind AI Breakthroughs
Most insiders Synced interviewed agreed that machine learning training methods which require less labeled data — such as weakly supervised learning, few-shot learning and unsupervised learning — are achieving some promising results.
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.
Humans Don’t Realize How Biased They Are Until AI Reproduces the Same Bias, Says UNESCO AI Chair
In a recent interview with Synced, Shawe-Taylor spoke on his role at UNESCO, emerging AI trends and the tech’s unseemly side, human-centered AI research, and the progress of AI in Europe.
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
Why Automation Isn’t the Answer to Smart Manufacturing
While management teams and consultants may spout trendy tech terms such as “process”, “automated”, or “smart”, and seem keen to hand over precisely-timed, measured tasks to machines, the truth is that AI tech is not a panacea — because manufacturing is hard.
Masters Will Share Insights at First Toronto Kaggle Days Meetup
Synced would like to invite Toronto AI and data science students and researchers to join representatives of the world’s largest data science community for an evening of networking, discussions, and refreshments!
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
AI Provides Solutions for the Japanese Fishing Industry
This article looks at three Japanese cases where AI is being applied either in large-scale aquaculture or to improve yields in traditional capture fishing.
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.
Chinese Video Streaming Giant Introduces Anime Facial ID Dataset
In a bid to combine anime and cartoon culture with machine learning, a research team from China’s leading video streaming service iQIYI has introduced a novel large unconstrained cartoon dataset they call “iCartoonFace.”
KDD 2019 Announces Best Paper Awards
KDD 2019 features both a Research track and an Applied Data Science (ADS) track, and today organizers announced their Best Paper Awards.
Tencent AI Trounces Pro Team in China’s #1 Mobile Game
China’s largest game-maker Tencent recently took a huge leap when its homegrown AI system Wukong AI (绝悟) trounced a human pro team in China’s most popular mobile game Honor of Kings (王者荣耀), aka Arena of Valor.
Harvard Researchers Benchmark TPU, GPU & CPU for Deep Learning
Because training deep learning models requires intensive computation, AI researchers are always on the lookout for new and better hardware and software platforms for their increasingly sophisticated models.
ACL 2019 Announces Best Papers; Nature Covers Tianjic Chip; Baidu Releases ERNIE 2.0
Synced Global AI Weekly August 4th
AI & New Retail: Recent Developments and Future Trends
The traditional retail industry is facing challenges as the rapid development and continuous improvement of AI tools and techniques ushers in the era of New Retail.
Facebook AI Memory Layer Boosts Network Capacity by a Billion Parameters
Recently, Facebook AI Research (FAIR) researchers introduced a structured memory layer which can be easily integrated into a neural network to greatly expand network capacity and the number of parameters without significantly changing calculation cost.