Car Makers Are Expanding & Diversifying Self-Driving Business
Synced Global AI Weekly March 17th
AI Technology & Industry Review
Synced Global AI Weekly March 17th
Google yesterday announced a new program, Seasons of Docs, that aims to make a substantive contribution to open source software development. The eight-month project will assemble a team of technical writers to work on improving documentation development for various open source projects.
Synced Global AI Weekly March 10th
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.
Natural language processing has made significant progress in the past year, but few frameworks focus directly on NLP or sequence modeling. Google Brain recently released Lingvo, a deep learning framework based on TensorFlow. Synced invited Ni Lao, Chief Science Officer at Mosaix, to share his thoughts on Lingvo.
oogle this week introduced GPipe, an open-source library that dramatically improves training efficacy for large-scale neural network models.
Synced Global AI Weekly March 3rd
Every year as the calendar turns from February to March, the world’s leading electronics and telecommunications companies, startups, inventors, and a herd of tech journalists and analysts head to the Mobile World Congress.
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.”
Synced Global AI Weekly February 17th
In 2017 Google introduced Federated Learning (FL), “a specific category of distributed machine learning approaches which trains machine learning models using decentralized data residing on end devices such as mobile phones.” A new Google paper has now proposed a scalable production system for federated learning to enable increasing workload and output through the addition of resources such as compute, storage, bandwidth, etc.
Synced Global AI Weekly February 10th
Google rang in the Lunar New Year with a couple of AI-powered treats: a new Live Transcribe service to help the deaf and hard of hearing, and a Google Doodle showcasing the ancient Chinese art of Shadow Puppetry.
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.
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In the conclusion to our year-end series, Synced spotlights ten datasets that were open sourced in 2018 and takes a peek into the papers behind them. We hope this list can provide the AI community with insight into what 2019 might hold in store for big data.
The last year saw an explosion of artificial intelligence consumer products, from virtual assistants to image editors to AI mini-games. Synced has selected 10 AI apps that we believe brought a novel approach to tech or task in 2018.
Synced Global AI Weekly December 23rd
Apple is ramping up its ambitious AI strategy, announcing today that John Giannandrea — the former Google AI Chief that Apple poached this April — has joined the company’s executive team as Senior Vice President of Machine Learning and Artificial Intelligence Strategy.
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.
In the past two weeks, news related to the field of human-computer interaction and voice interaction has been focused on technology giants Amazon and Google. Amazon upgraded its Fire TV Cube and the Amazon Music system, which enhances the diversity of voice interactions.
In 2016 Google’s DeepMind stunned the world when their Go computer AlphaGo secured a historic victory over Korean grandmaster Lee Sedol. Yesterday the UK’s top AI team delivered their latest “wow moment” as their AI system AlphaFold topped the Critical Assessment of Structure Prediction (CASP) competition.
The big news from Google in the last two weeks includes the CEO change in Google Cloud’s business and new efforts in the Google Health department. After three years as the CEO of Google Cloud, Diane Greene announced that she will step down.
Head of R&D of Google Cloud AI Jia Li has left her position with the company. Li informed Synced in a text message yesterday and the Google team confirmed her departure this morning.
Synced surveyed a number of 2019 AI residency programs that may be of interest to readers.
10 Things You Must Know from October W 3 – W 4
A new paper from Julia Computing Co-Founder and CTO Keno Fischer and Senior Research Engineer Elliot Saba introduces a method and implementation for offloading sections of Machine Learning models written in Julia programming language to TPUs.
Enter DarwinAI, a Waterloo, Ontario based AI startup which recently released a beta version of an automated machine learning solution it says can generate models ten times more efficiently than comparable state-of-the-art solutions.
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.
The new Google AI paper BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding is receiving accolades from across the machine learning community.
“Best GAN samples ever yet? Very impressive ICLR submission! BigGAN improves Inception Scores by >100.” The above Tweet is from renowned Google DeepMind research scientist Oriol Vinyals. It was retweeted last week by Google Brain researcher and “Father of Generative Adversarial Networks” Ian Goodfellow, and picked up momentum and praise from AI researchers on social media.
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.
Researchers from MIT, Google, and Xian Jiaotong University recently published a paper proposing AutoML for Model Compression (AMC), which leverages reinforcement learning to shorten model compression processing time and improve results.
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.
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.
Blockchain hardware, software, and services company Bitmain confirms it will build a data center in Rockdale, Texas and invest US$500 million in the United States over the next seven years. Bitmain will launch a local training program and hire more than 400 employees.
On the same day Baidu was announcing another quarter of strong earnings, the Chinese search engine giant’s stock prices suddenly tumbled on a report American rival Google is planning to launch a new search engine for the Chinese market.
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.
When robots need a brain, their creators turn to Silicon Valley. Most of the AI tech that drives advanced robotics originates in Bay Area labs. At last month’s ReWork Deep Learning for Robotics Summit in San Francisco, researchers from Silicon Valley AI labs and institutes discussed their latest work and how it is being used to teach robots. Synced was onsite to bring you an inside look at their work.






































