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: machine learning
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.
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.
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.
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.
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.
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.
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).
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.
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.
AI Biweekly: ML & Ethics; Skepticism re AI-Powered Surgeries
10 AI News You Must Know from March W 3 – W 4
Boston Dynamics And Google Robots “Handle” Things Better Than You Do
Synced Global AI Weekly March 31st
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.
AI Local Rainfall Nowcasting Using Weather Radar Maps
To provide accurate precipitation nowcasting, Beijing startup ColorfulClouds Tech is applying machine learning (ML) techniques using observed radar echo maps to generate high resolution, minute-by-minute rainfall forecasts on its ColorfulClouds Weather mobile app.
Snorkel DryBell Exploits the Strength of Weakly Supervised ML for Information Integration
Snorkel Drybell, an experimental internal system which leverages the open-sourced Snorkel framework to harness various existing organizational knowledge resources and generate training data for web-scale machine learning models.
A Round Up Of NVIDIA’s GPU Technology Conference (GTC)
Synced Global AI Weekly March 24th
NVIDIA CEO Says No Rush on 7nm GPU; Company Clearing Its Crypto Chip Inventory
NVIDIA CEO and Co-Founder Jensen Huang says a rumored next-generation GPU architecture is not a priority for the company, and that he remains optimistic about clearing the chip inventory built up for cryptocurrency mining. Huang made the remarks in a press conference Tuesday at the GPU Technology Conference (GTC) in Santa Clara.
New Study Uses Machine Learning to Predict Sexual Orientation
A new dissertation from University of Pretoria Information Technology master student John Leuner has revisited the thorny question of whether machine learning methods can effectively detect sexual orientation.
AttoNets: Compact and Efficient DNNs Realized via Human-Machine Collaboration
It is no secret that deep neural networks (DNNs) can achieve state-of-the-art performance in a wide range of complicated tasks. DNN models such as BigGAN, BERT, and GPT 2.0 have proved the high potential of deep learning. Deploying DNNs on mobile devices, consumer devices, drones and vehicles however remains a bottleneck for researchers.
DeepMind TF-Replicator Simplifies Model Deployment on Cluster Architectures
DeepMind’s Research Platform Team has open-sourced TF-Replicator, a framework that enables researchers without previous experience with the distributed system to deploy their TensorFlow models on GPUs and Cloud TPUs. The move aims to strengthen AI research and development.
GTC 2019 | Highlights & Disappointments at NVIDIA’s Annual Conference
NVIDIA’s annual GPU Technology Conference (GTC) attracted some 9,000 developers, buyers and innovators to San Jose, California this week. CEO and Co-Founder Jensen Huang’s two-and-a-half hour keynote speech fused GPU-based innovations in domains ranging from graphic design to autonomous driving.
GTC 2019 | New NVIDIA One-Stop AI Framework Accelerates Workflows by 50x
No wow moments, no bells, and no whistles. Jensen Huang has delivered some groundbreaking keynote speeches in his years at the helm of NVIDIA, but today’s was not among them.
GTC 2019 | NVIDIA’s New GauGAN Transforms Sketches Into Realistic Images
At the NVIDIA GPU Technology Conference (GTC) which kicked off today, NVIDIA unveiled its latest image processing research effort — GauGAN, a generative adversarial network-based technique capable of transforming segmentation maps into realistic photos.
AI Tackles Mahjong
For years now, AI researchers have been leveraging game environments to train computer models to react to complicated scenarios and make decisions accordingly. In some ways, the trial-and-error process mimics how children learn about the world around them.
Boeing 737 MAX Crashes Raise Public Distrust of Autonomous Systems
On Sunday, March 10, an Ethiopian Airlines Boeing 737 MAX 8 aircraft en route to Nairobi crashed shortly after takeoff from Addis Ababa, killing all 157 people on board. It was the second fatal crash in six months involving Boeing 737 MAX 8 airplanes.
PyTorch Geometric: A Fast PyTorch Library for DL
A new GitHub project, PyTorch Geometric (PyG), is attracting attention across the machine learning community. PyG is a geometric deep learning extension library for PyTorch dedicated to processing irregularly structured input data such as graphs, point clouds, and manifolds.
UC Cuts Elsevier Subscriptions as ML Community Pushes Open Access
The University of California has halted all further subscriptions with one of the world’s largest scholarly publishers, Amsterdam-based Elsevier. The move follows more than six months of negotiations which failed to reach a substantial agreement on securing universal open access to UC research.
Google Debuts TensorFlow 2.0 Alpha
TensorFlow is the world’s most popular open source machine learning library. Since its initial release in 2015, the Google Brain product has been downloaded over 41 million times. At this week’s 2019 TensorFlow Dev Summit, Google announced a major upgrade on the framework, the TensorFlow 2.0 Alpha version.
NeurIPS 2019 Dates and Details Announced
The organizers of NeurIPS (Conference on Neural Information Processing Systems) today announced the dates and other information regarding NeurIPS 2019.
Caffe Pioneer & AI Infrastructure Director Leaves Facebook
Facebook AI Infrastructure Director Yangqing Jia is leaving his position with the company, a person familiar with the matter told Synced. The Facebook team confirmed his departure yesterday.
Google Brain Simplifies Network Learning Dynamics Characterization Under Gradient Descent
Machine learning models based on deep neural networks have achieved unprecedented performance on many tasks. These models are generally considered to be complex systems and difficult to analyze theoretically. Also, since it’s usually a high-dimensional non-convex loss surface which governs the optimization process, it is very challenging to describe the gradient-based dynamics of these models during training.
CVPR 2019 Accepts Record 1300 Papers
The Conference on Computer Vision and Pattern Recognition (CVPR) announced this week they have accepted 1300 research papers for CVPR 2019, which will be held June 16 – 20 in Long Beach, California. This year’s submission and acceptance totals both set records for the world’s premier computer vision conference, which had never before accepted more than 1000 papers.
After Mastering Go and StarCraft, DeepMind Takes on Soccer
Having notched impressive victories over human professionals in Go, Atari Games, and most recently StarCraft 2 — Google’s DeepMind team has now turned its formidable research efforts to soccer. In a paper released last week, the UK AI company demonstrates a novel machine learning method that trains a team of AI agents to play a simulated version of “the beautiful game.”
Yann LeCun Cake Analogy 2.0
Facebook AI Chief Yann LeCun introduced his now-famous “cake analogy” at NIPS 2016: “If intelligence is a cake, the bulk of the cake is unsupervised learning, the icing on the cake is supervised learning, and the cherry on the cake is reinforcement learning (RL).”