Huge Investment In Self-Driving Companies: These Startups Are Noteworthy
Synced Global AI Weekly February 17th
AI Technology & Industry Review
Synced Global AI Weekly February 17th
Facebook researchers have introduced two new methods for pretraining cross-lingual language models (XLMs). The unsupervised method uses monolingual data, while the supervised version leverages parallel data with a new cross-lingual language model.
Synced Global AI Weekly February 3rd
To help keep our readers abreast of the trend, Synced has identified five high-quality open-source datasets that were released this month (January 2019) and that AI researchers and engineers might find useful in their work.
A cooperative research group from Facebook and the University of Southern California has introduced an alternative evaluation task for visual-grounding systems: BISON (Binary Image Selection).
Subscribe to Synced Global AI Weekly Natural Questions: a New Corpus and Challenge for Question Answering Research To help spur researchContinue Reading
Synced Global AI Weekly January 6th
Synced Global AI Weekly December 23rd
The team behind MLPerf has announced the machine learning benchmark’s first set of results. MLPerf is a broad machine learning benchmark designed to measure the best performance of each participant with its own resources on a specific task.
ImageNet Pre-training is common in a variety of CV (Computer Vision) tasks, as something of a consensus has emerged that pre-training can help a model learn transferrable information that can be useful for target tasks.
Facebook announced today that it is open-sourcing QNNPACK, a high-performance kernel library optimized for mobile AI. The computing power of mobile devices is but a tiny fraction of that of data center servers. As such it is essential to find ways to optimize mobile devices’ hardware performance in order to run today’s compute-hungry AI applications.
10 Things You Must Know from October W 3 – W 4
Adding Baidu’s voice will broaden PAI’s understanding of global AI technologies and their ethical implications. Chinese companies are pushing forward with a wide adoption of AI technologies across industries from healthcare to transportation and beyond.
Last month’s ReWork Deep Learning Summit in London provided a peek at current recent research progress and future trends in artificial intelligence technologies. The two-day event featured top scientists and engineers from Facebook, MIT Media lab, DeepMind and other leading institutes.
In conjunction with yesterday’s release of open source AI software framework PyTorch 1.0, leading deep learning course developer Fast.ai has announced its first open source library for deep learning — fastai v1.
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.”
Skip is an experimental research language project that Facebook developed over the last three years: “Skip tracks side effects to provide caching with reactive invalidation, ergonomic and safe parallelism, and efficient garbage collection. Skip is statically typed and ahead-of-time compiled using LLVM to produce highly optimized executables.”
Anglian Water plans to install an AI-based energy storage machine system in its water treatment facilities. The system will provide a real-time energy consumption balancing service and increase the lifespan of storage machines. The AI system was designed by Open Energi and is expected to be full operational by next year.
Facebook is working with a select group of advertisers to create augmented reality ads for its News Feed. When users activate an ad’s tap-to-try AR capability it can display for example how a pair of glasses would look on their face via the user’s webcam and screen. Facebook says it also intends to expand shopping support in Instagram Stories.
Getting lost can be a hassle when in unfamiliar places, and a common solution is to ask a local for directions. Facebook Artificial Intelligence Research (FAIR) wants to transform their AI learning algorithm into that savvy local guide.
Salesforce announces a deeper data sharing partnership with Google. Consumer insights from Salesforce’s Marketing Cloud and Google Analytics 360 will be merged into one dashboard for either platform. Marketing Cloud data can be used to create a more customized web experience.
Thousands in the machine learning community say they will boycott Nature’s paywalled Machine Intelligence Journal, which is set for a January 2019 release.
Facebook generally uses its F8 Developer Conference to introduce new website features. This year however there was a distinct emphasis on “AI,” with the term mentioned more than ever in the event’s keynote speech.
IBM announces a four-year program in collaboration with Calgary-based Natural Resources Solutions Center to help oil and gas companies with sustainability and efficiency.
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.
France is pledging €1.5 billion to hasten the development of its fledgling AI ecosystem. French President Emmanuel Macron made the commitment this morning at the Artificial Intelligence Summit held at the College de France Research Center.
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.
Capillary Technologies is a cloud-based SaaS company serving over 300 large enterprises and 500 small or medium businesses in over 30 countries. It improves retailers’ engagement with customers through analytics.
The staffless Amazon Go opens to the public in downtown Seattle. Just like a normal convenience store, this intelligent store sells pre-cooked food, snacks, drinks , etc. — but there’s no cashier scanning the goods.
NVIDIA Announces Delivery Target For Self Driving Processor Xavier; Facebook Plans to Shut Down Its Personal Assistant “M” on January 19th; Amazon Alexa Is Integrating With Windows 10; A US Media Team Plans to Launch Vital Intelligence Data Live
To boost learning research aimed at endowing robots with better generalization capabilities, Yi Wu from UC Berkeley and Yuxin Wu, Georgia Gkioxari, and Yuandong Tian from Facebook AI research recently published the paper Building Generalizable Agents with a Realistic and Rich 3D Environment.
At Synced we are naturally fans of machine intelligence, but we also realize some new techniques struggle to perform their tasks effectively, often blundering in ways that humans would not.
Google’s Ali Rahimi put it bluntly in his NIPS presentation: “Machine learning has become alchemy.” The words triggered Facebook’s Yann LeCun to fight back.
The success AI has achieved in image recognition has prompted tech companies to explore the new field of video understanding, in which machines are trained to answer questions like “Who is in this video?” or “What are the cats in the video doing?”
Instagram Releases Shoppable Tags Feature in US; Voyage Launches Self-Driving Taxis in San Jose Escorting 4,000 Residents; Deutsche Bank Announces First Artificial Intelligence Implementation Through IBM Watson
As more companies bet on AI, computer scientists with AI expertise are coming into demand on the job market.
09/05 — Google Updates Its Street View Cameras with AI and Machine Learning Google just upgraded its street view camera for the firstContinue Reading
“Scientists need passion to do research, and that is my passion.” – Yuandong Tian, Facebook Artificial Intelligence Researcher
In order to provide personalized ads, tech giants such as Google and Facebook are trying to abstract their users’ personality from their posts on social media. Hence, it is essential for social networking applications to predict personality from written text.
Rapid rise of AI industry drives extremely huge demand for talents, Chinese AI talents in US are driving attention from worldwide tech giants.