Stanford ML Releases MRNet Knee MRI Dataset
The Stanford ML Group led by Andrew Ng has released its MRNet Dataset, which contains more than 1000 annotated knee MRI Scans; and announced an associated public model competition.
Tag: artificial intelligence
Facebook Randomly Wired Neural Networks Outperform Human-designed for Image Recognition
Neural networks for image recognition have matured from simple chain-like models to structures with multiple wiring paths. The emergence of Neural Architecture Search (NAS) can optimize models with more elaborate wiring and operation types.
Upgrading CNN With OctConv
Researchers from Facebook, the National University of Singapore, and the Qihoo 360 AI Institute have jointly proposed OctConv (Octave Convolution), a promising new alternative to traditional convolution operations. Akin to a “compressor” for Convolutional Neural Networks (CNN), the OctConv method saves computational resources while boosting effectiveness.
Beep! Beep! Huawei Gets Into Car Systems
At the Auto Shanghai 2019 Key Tech Forum yesterday Huawei Rotating Chairman Eric Xu unveiled the company’s plan to provide information and communication technology (ICT) to OEMs to help them build better vehicles.
Direct and Star in Your Own Movie With California AI Startup Rct Studio
Interactive movies are redefining cinema and storytelling and opening up a world of possibilities in the entertainment industry. There are no “spoilers” for films with no predetermined endings, whose characters and plots develop based on viewers’ real-time direction. Now, what if these viewers became characters?
Boston Dynamics’ Spot Toughens Up, Hauls a Truck
In a YouTube video released today, Spot looks a lot more like a workhorse, harnessed up and hauling a box truck up a hill.
Bengio and Marcus at World AI Summit in Montréal
Held April 9 – 10, the conference welcomed AI leaders from industry and academia, who shared their AI experiences, insights, and analysis.
AI Biweekly: New European Ethical AI Guidelines; Microsoft & BMW Partner on IoT Manufacturing
10 AI News You Must Know from April W 1 – W 2
ReWork Deep Learning in Finance Summit
The recent ReWork Deep Learning in Finance Summit in London, UK, featured 46 top scientists and professors from world-leading institutions, who presented their research progress and provided a glimpse into emerging trends in the field of artificial intelligence and fin tech.
Highlights of Google Cloud Next; Google BERT Wins NAACL’s Best Long Paper
Synced Global AI Weekly April 14th
Humans Call GG! OpenAI Five Bots Beat Top Pros OG in Dota 2
After eight-months of development efforts, the “Open AI Five” exacted their revenge today against one of the world’s top teams in a highly anticipated best-of-three 5v5 Dota 2 showdown in San Francisco.
Opportunities and Challenges in the Japanese Smart Home Market
ccording to a Fuji Research Laboratory report, the Japanese smart home market is expected to top JP¥4.2 trillion (US$38 billion) in 2025, up 36.3 percent from 2017. The market is being driven by smart devices including smartphones, which already account for more than half the market and are continuing to grow due their ability to conveniently connect IoT devices.
Tencent Open-Sourced Algorithm Betters Face Detection Benchmarks
Chinese technology giant Tencent has open-sourced its face detection algorithm DSFD (Dual Shot Face Detector). The related paper DSFD: Dual Shot Face Detector achieves state-of-the-art performance on WIDER FACE and FDDB dataset benchmarks, and has been accepted by top computer vision conference CVPR 2019.
NAACL 2019 | Google BERT Wins Best Long Paper
This morning the NAACL 2019 conference committee announced its best paper awards. Synced has prepared a summary of the winning papers.
TableBank: Benchmark for Image-based Table Detection and Recognition
A collaboration between researchers from China’s Beihang University and Microsoft Research Asia has produced TableBank, a new image-based dataset for table detection and recognition built with novel weak supervision from Word and Latex documents on the Internet.
A Google Brain Program Is Learning How to Program
The idea of using machine learning to teach programs how to automatically write or modify code has always been tempting for computer scientists.
Google Cloud Next | New Hybrid Cloud ‘Anthos,’ Partnerships, Data Centres
Artificial intelligence and machine learning have become powerful tools for tech giants looking to build the optimal cloud service platform. To catch up with rivals Amazon Web Services and Microsoft Azure, Google is accelerating the development of its own cloud services.
Improving Robot Control With Residual RL
As robots take over industrial manufacturing, specific and accurate robot control is becoming more important. Conventional feedback control methods can effectively solve various types of robot control problems by capturing structures with explicit models such as motion equations.
‘Snip’ Converts Math Screenshots Into LaTeX
A new math tool called “Snip” is creating a buzz on Twitter. Thousands of netizens are sharing the tool, which is being heralded as a “life changer” for scientific writing.
Facebook AI Open-Sources PyTorch-BigGraph Tool for ‘Extremely Large’ Graphs
Facebook AI Research has announced it is open-sourcing PyTorch-BigGraph (PBG), a tool that can easily process and produce graph embeddings for extremely large graphs. PBG can also process multi-relation graph embeddings where a model is too large to fit in memory.
Roadstar.ai: The Rise and Fall of a Self-Driving Startup
A year ago, Shenzhen-based self-driving start-up Roadstar.ai was cruising along promisingly. In May 2018 the company announced a US$128 million funding round led by Wu Capital and state-backed Shenzhen Capital Group — one of the largest autonomous driving investments ever in China.
Megvii Introduces Single-Path, One-Shot Method for NAS Design
Chinese AI unicorn Megvii Technology has proposed a new single-path, one-shot NAS design approach which makes various applications more convenient and achieves start-of-the-art performance on the large dataset ImageNet.
Google Reduces BERT Pre-Training Time; DeepMind AI Fails High School Math Test
Synced Global AI Weekly April 7th
Elite Chinese Music School Now Offers PhDs in Music + AI
Now, China’s elite Central Conservatory of Music (CCOM) has announced it is recruiting PhDs for a new Music AI and Information Technology program. CCOM says prospective students should have a background in Computer Science, AI, or Information Technology; along with musical abilities (instrument playing or singing).
DeepMind AI Flunks High School Math Test
DeepMind trained and tested its neural model by first collecting a dataset consisting of different types of mathematics problems. Rather than crowd-sourcing, they synthesized the dataset to generate a larger number of training examples, control the difficulty level and reduce training time.
Father of GANs Ian Goodfellow Splits Google For Apple
Ian Goodfellow — the research scientist who pioneered generative adversarial networks (GANs) — has left Google Brain and joined Apple to direct a special machine learning project, according to his Linkedln profile updated today and CNBC.
New Google Brain Optimizer Reduces BERT Pre-Training Time From Days to Minutes
Google Brain researchers have proposed LAMB (Layer-wise Adaptive Moments optimizer for Batch training), a new optimizer which reduces training time for its NLP training model BERT (Bidirectional Encoder Representations from Transformers) from three days to just 76 minutes.
Is the Fashion World Ready for AI-Designed Dresses?
It’s a fanciful little one-piece in shimmering green and aquamarine with bold fuschia shoulder accents — perfect for a night out on the town. Is this a new dress from a Milan or Tokyo collection? Nope, it was designed by an AI-powered machine, and produced by a couple of MIT graduates.
IBM Proposes Quantum-Enhanced Feature Space for ML
In a paper recently published in Nature, IBM researchers propose using two quantum algorithms based on superconducting processors to provide a novel solution to classification problems.
CVPR 2019 | NVIDIA ‘CityFlow’ Enables Multi-Target Multi-Camera Vehicle Tracking
“CityFlow,” a city-scale traffic camera dataset paper from NVIDIA researchers, has been accepted by CVPR 2019 as an Oral Session, earning two “Strong Accepts” and one “Accept” from reviewers.
AI Biweekly: ML & Ethics; Skepticism re AI-Powered Surgeries
10 AI News You Must Know from March W 3 – W 4
AI Fools’ Day: Tech Giants’ Top Pranks
Today is April Fool’s Day, and despite Microsoft’s efforts to ban such pranks, many tech companies could not resist joining in the centuries-old spoofing tradition. However, given the already incredible achievements of cutting-edge AI technologies, some of today’s hoaxes actually look pretty convincing.
iFLYTEK & HIT Reading Comprehension Model Betters Humans, Tops SQuAD2.0 Leaderboard
Chinese AI company iFLYTEK has bested the SQuAD2.0 challenge once again. The model “BERT + DAE + AoA” submitted by the joint iFLYTEK Research and HIT (Harbin Institute of Technology) laboratory HFL outperformed humans on both EM (exact match) and F1-score (fuzzy match) indexes to top the SQuAD2.0 leaderboard.
Boston Dynamics And Google Robots “Handle” Things Better Than You Do
Synced Global AI Weekly March 31st
Your Location Is Gold to Businesses
Business models that leverage location data from mobile devices are part of a growing, multi-billion dollar market. Where you are matters much more than you might think.
Robots Vs Robocalls
Robots pitching politics, charities, sales, surveys, and scams of every stripe and in every tongue. Increasingly that’s the voice on the other end of a global citizen’s next incoming telephone call.
Let Boston Dynamics ‘Handle’ That Package
In a scene that looks like it’s from a sci-fi movie, a YouTube video posted today by robotics company Boston Dynamics shows a huge, ostrich-like robot “Handle” whirling round while deftly moving boxes in a warehouse. The video has garnered over 138,000 views in less than four hours.
BigGAN Trained With Only 4 GPUs!
Andrew Brock, first author of the high-profile research paper Large Scale GAN Training for High Fidelity Natural Image Synthesis (aka “BigGAN”), has posted a GitHub repository of an unofficial PyTorch BigGAN implementation that requires only 4-8 GPUs to train the model.
Word Influence Analysis Tool ‘SyncedLeg’ Open-Sourced
SyncedLeg is a tool designed to help with that by mining influential keywords from the corpus with traffic data. A team of Synced interns developed the tool over an internal two-day Hackathon, naming it after their team “机器之腿” (“Machine’s leg” in Chinese).
Hinton, LeCun & Bengio Named 2018 ACM Turing Award Laureates
The ACM (Association for Computing Machinery) this morning announced Geoffrey Hinton, Yann LeCun and Yoshua Bengio as its 2018 Turing Award winners.