AI Technology & Industry Review
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.
Leading machine learning conference International Conference on Learning Representations (ICLR) has named its best research papers of the last year: On the convergence of Adam and Beyond, Spherical CNNs, and Continuous Adaptation via Meta-learning in Nonstationary and Competitive Environments.
The US FDA defines five steps for the development of a new drug: discovery and development, preclinical research, clinical research, FDA review, and FDA post-market safety monitoring.
Facebook operates two flagship open source machine learning frameworks — Caffe2 and PyTorch. Their incompatibility, however, made it difficult to transform a PyTorch-defined model into Caffe2 or vice versa. Facebook is doing something about that.
The Age of Discovery began in the 15th century, when Europeans built their first oceangoing vessels and set out to explore the world. Whether motivated by political, economic or cultural factors, human exploration has traditionally been driven by technological progress.
As Facebook struggles with fallout from the Cambridge Analytica scandal, its research arm today delivered a welcome bit of good news in deep learning. Research Engineer Dr. Yuxin Wu and Research Scientist Dr. Kaiming He proposed a new Group Normalization (GN) technique they say can accelerate deep neural network training with small batch sizes.
Founded in 2014 by international business lawyer Noory Bechor and machine learning guru Ilan Admon, LawGeex is a Tel Aviv-based legal tech startup focused on contract review. It closed US$7 million in Series A funding last March, principally from Indeed.com owner Recruit Holdings, Lool Ventures, and LionBird.
Google has announced the release of MusicVAE, a machine learning model that makes composing musical scores as easy as mixing paint on a palette. A breakthrough from Google Brain’s Magenta Project, MusicVAE generates and morphs melodies to output multi-instrumental passages optimized for expression, realism and smoothness which sound convincingly like human-composed music.
Microsoft researchers in the US and Asia sent a shockwave through the AI community today with their paper Achieving Human Parity on Automatic Chinese to English News Translation, which introduces a neural machine translation system they say equals the performance of human experts in Chinese-to-English translation.
I purchased a Tmall Genie X1 — Alibaba’s flagship smart speaker — at the discounted price of US$15 during China’s November 11 “Singles Day” shopping festival. I was given order number 560,000-ish, and received the product a month later. The speaker is regularly priced at US$79, about the same as its American counterpart Google Mini.
Paige.AI is a New York-based startup that fights cancer with AI. Launched last month as a spinoff from the Memorial Sloan Kettering Cancer Center (MSK) — the largest cancer research institute in the US — Paige.AI has exclusive access to MSK’s IP in the field of computational pathology as well as its dataset of 25 million pathology cancer images (“slides”).
Tencent Youtu — literally translated as “image optimization lab” — is the image processing, pattern recognition, machine learning, and data mining research arm of Chinese tech giant Tencent Group.
Baidu’s research arm announced yesterday that its 2017 text-to-speech (TTS) system Deep Voice has learned how to imitate a person’s voice using a mere three seconds of voice sample data.