AI Technology & Industry Review
The company made a series of AI-related announcements today at the Huawei Connect 2018 Conference in Shanghai, introducing two AI chips and a machine learning framework. Huawei’s AI push is expected to intensify its battle with domestic rivals Alibaba, Tencent and Baidu in the AI market.
At the first-ever PyTorch Developer Conference today in San Francisco, Facebook released a preview of PyTorch 1.0, its open source AI software framework designed to trailblaze “a seamless path from AI research to production.”
Georgia Tech and Google Brain researchers have introduced the new interactive tool GAN Lab, which visually presents the training process of complex machine learning model Generative Adversarial Networks (GANs). Even machine learning newbs can now experiment with GAN models using only a common web browser.
Apple has unveiled the latest iteration of its smartphone chip: the A12 Bionic SoC (system-on-a-chip). The company made the announcement yesterday at its annual product showcase event in Cupertino, California, hailing the A12 as the industry’s first ever 7nm chip (the smallest current transistor scale). It will be embedded in Apple’s new XR, XS, and XS Max iPhones.
Last week’s RE•WORK AI in Finance Summit featured 50 speakers and drew 250 technologists to the Westin New York at Times Square to explore the intersection between AI and Fintech.
Google AI lead Jeff Dean recently posted a link to his 1990 senior thesis on Twitter, which set off a wave of nostalgia for the early days of machine learning in the AI community. Parallel Implementation of Neural Network Training: Two Back-Propagation Approaches may be almost 30 years old and only eight pages long, but the paper does a remarkable job of explaining the methods behind neural network training and the modern development of artificial intelligence.
Tencent AI Lab has announced that it will open source its multi-label image dataset ML-Images and deep residual network ResNet-101 by the end of September. ML-Images contains 18 million images and more than 11,000 common object categories; while ResNet-101 has reached the highest precision level in the industry.
A hearty round of applause arose from the crowd packing the Vancouver Rogers Centre on August 22 when a team of unassuming scientists wearing “OpenAI” T-shirts climbed up on stage.
Registration opened at 8:00 a.m. PDT today for December’s NIPS 2018 (Conference on Neural Information Processing Systems) in Montreal. The early birds were the fortunate ones this year — as tickets for the main conference were all snapped up less than a dozen minutes later.
At the Google For India 2018 conference in New Delhi yesterday Google launched its AI platform Navlekha, which enables publishers to make offline Indian language content fully editable and streamlines the online publishing process.
CGI is playing an increasingly important role in contemporary culture. Filming for example a battle scene between warriors and mystic creatures in Wakanda involves much more than just dressing and directing actors.
Computers are now excellent at recognizing images of human faces, cats and dogs — but struggle when it comes to detecting continuous actions, for example determining if a character in a video might be “dancing the tango.” Computers also fall short in detecting nuanced expressions of human emotions.
New York-based investment corporate D. E. Shaw Group yesterday announced that esteemed University of Washington Professor of Computer Science Pedro Domingos will join the firm as a Managing Director and lead its new Machine Learning Research Group.
A Google Brain research group has published a paper proposing a new method for evaluating generative models by using insights from competitive games between human players.
Benjamin Sanchez-Lengeling from Harvard University and Alán Aspuru-Guzik from the University of Toronto have successfully applied machine learning models to speed up the materials discovery process. Their paper Inverse molecular design using machine learning: Generative models for matter engineering was published July 27 in Science Vol. 361.
Neural networks can be notoriously difficult to debug, but a Google Brain research team believes it may have come up with a novel solution. A paper by Augustus Odena and Ian Goodfellow introduces Coverage-Guided Fuzzing (CGF) methods for neural networks. The team also announced an open source software library for CGF, TensorFuzz 1.
Since 2010, the annual ImageNet Large-Scale Visual Recognition Challenge has been the most widely recognized benchmark for testing image recognition algorithms. Tencent Machine Learning picks up the challenge with its new paper Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes.
ML has revolutionized vision, speech and language understanding and is being applied in many other fields. That’s an extraordinary achievement in the tech’s short history and even more impressive considering there is still no dedicated ML hardware.
At the annual Google Cloud Next conference which kicked off July 24 in San Francisco the company unveiled a series of AI-based product releases and enhancements for its analytics and machine learning tools, additional applications on G Suite, and new IoT products.
Founded in 2016, Foundry.ai provides cloud-based AI-powered software applications for C-Suite executives, particularly those with Forbes Global 2000 companies.
Facebook AI chief Yann LeCun gave the keynote speech “Learning World Models: the Next Step towards AI” today at the 2018 International Joint Conference on Artificial Intelligence (IJCAI) in Stockholm, Sweden.
On July 10th, with German Chancellor Angela Merkel and Chinese Premier Li Keqiang looking on, Siemens AG signed a partnership agreement with Alibaba Cloud — the cloud-computing arm of Internet conglomerate Alibaba — to bring an Industrial Internet of Things (IIoT) upgrade to China’s manufacturing industry.
The opportunities for studying AI at Chinese higher learning institutes have never been better or more varied. More than 70 Chinese universities and colleges have introduced AI-related majors, and 283 universities are licensed to offer data science programs.
Once upon a time, a cephalopod in Oberhausen, Germany named Paul the Octopus captured human hearts by picking football match winners at the Euro 2008 and 2010 FIFA World Cup with a success rate of 85.7 percent.
The US Department of Energy’s Oak Ridge National Laboratory in Tennessee today introduced the world’s fastest supercomputer Summit, whose computing power reaches 200 petaflops or 200 million billion calculations per second.
Over the past three months, criticism and protests have been mounting over Google’s participation in Project Maven, a Pentagon pilot program to build machine learning models to detect and categorize objects in drone footage provided by the US Department of Defense.
Today it was Apple’s turn to unveil new machine learning tools and software at its 2018 Worldwide Developers Conference (WWDC), which runs June 4-8 at the McEnery Convention Center in San Jose, California..
One of the biggest risks involved with AI is “it tends to concentrate power in hands of fewer individuals,” warns Andrew Ng, one of the AI’s most prestigious figures.
NIPS’ peer reviewer selection process came under question in the AI community last week, when a Reddit user who identified as a predoctoral student posted that they had been selected as a NIPS reviewer, and needed advice on how to properly write paper reviews…
Compute Scoreboard:
AlexNet 1
AlphaZero 300,000
Researchers from the British AI company yesterday published a paper on Nature — Vector-based navigation using grid-like representations in artificial agents — which proposes an artificial virtual agent that can navigate like mammals.
The 2018 Toronto – Tsinghua AI Squared Forum attracted researchers, entrepreneurs, innovators, and students to Canada’s largest city to “discuss opportunities for research collaboration and partnerships in areas of artificial intelligence.”
Google I/O 2018 kicked off today with an uptempo keynote from CEO Sundar Pichai. The tech giant’s annual developer conference is always a platform for big announcements, and this was no exception, with Google gearing up for what promises to be an especially busy year.
AI researchers are gathering in Vancouver, Canada for the sixth annual ICLR (International Conference on Learning Representations). The event starts today and runs to May 3rd at the Vancouver Convention Centre.
Liulishuo is the AI English teacher on your phone. You don’t need to know how it works, yet it helps you learn English more efficiently than a human teacher,” says Yi Wang, Founder and CEO of Liulishuo — a Beijing-based “AI + language” company…
PyTorch, an open source machine learning library for Python, today announced the release of “PyTorch 0.4.0 with Windows support”.
The McKinsey Global Institute this month released the report “Notes From the AI Frontier Insights From Hundreds of Use Cases”. The 36-page discussion paper surveys cutting-edge machine learning algorithms, and discusses how they can be integrated or transformed into practical applications across 19 selected industries.
The Media and Entertainment industry is a cornerstone of contemporary human culture, delivering films, TV shows, advertisements and more in a multitude of languages across a wide variety of devices.
Alibaba’s R&D arm DAMO Academy announced yesterday that it is developing a new neural network chip called Ali-NPU for AI inferencing in the field of image processing, machine learning, etc.
When Bayesian Cognitive Scientist Josh Tenenbaum recently told a packed University of Toronto lecture hall that “intelligence is not just about pattern recognition,” the significance of the statement was not lost on the audience.