AI Uses Face Scans to Diagnose Rare Genetic Disorders
Boston-based biotech and digital health tech company FDNA has developed a deep learning application, Face2Gene, which can help doctors spot rare genetic disorders.
AI Technology & Industry Review
Boston-based biotech and digital health tech company FDNA has developed a deep learning application, Face2Gene, which can help doctors spot rare genetic disorders.
A Stanford Intelligent Systems Laboratory (SISL) research group has announced it is open-sourcing its NeuralVerification.jl project, which helps verify deep neural networks’ training, robustness and safety results.
In late 2017, popular scientific journal Nature announced plans to debut a new online publication, Nature Machine Intelligence, in earlyContinue Reading
Writers often get their inspiration from conversations with other people. So says 19-year-old Katie Bilbrey, who has published 15 online stories under the pen name TheSolSoldier. Bilbrey took a different tact for her latest writing project — instead of back-and-forthing with friends, she drew her inspirations for Our Precious Future through conversations with an artificial intelligence named Zo.
At CES 2019 in Las Vegas today Chinese tech giant Baidu introduced Apollo Enterprise, a new suite of customizable autonomous driving and Internet of Vehicles (IoV) solutions for mass production vehicles. The company also released Apollo 3.5, the latest and most sophisticated iteration of its open autonomous driving platform, which now supports complex urban and suburban driving environments.
The world’s largest and most exciting technology show, CES officially kicks off this morning in Las Vegas, USA. With an abundance of products to present, tech giants such as Nvidia, Qualcomm, Samsung, Intel started revving up their engines two days ago, hosting press conferences to showcase their “New Year’s Resolutions.”
10 AI News You Need To Know From December W 4 – January W 1
To welcome 2019 with some fresh AI insights, Synced posed three questions to forty researchers and experts at last month’s NeurIPS 2018 conference in Montréal, Canada.
Synced Global AI Weekly January 6th
At the 2018 World AI Conference in Shanghai, Tencent Cybersecurity Group and the Cybersecurity Innovation Institute co-published their AI Empowers Cyberspace Security: Patterns and Practices report. The work was sponsored by the Shanghai government.
It all started with a tweet from Google Japan Data Project Manager Suzana Ilić: “Yesterday someone (ML, CS PhD, Stanford) said he would not hire a person who is online educated in Machine Learning. Who here agrees and who thinks differently?” The question triggered a long and occasionally heated discussion that spread from Ilić’s twitter across the machine learning community.
It did not take long to see the first major AI talent reshuffling of 2019. Multiple sources are now confirming that reputed AI researcher Dr. Tong Zhang left his position as Executive Director of Tencent AI Lab effective December 31. Rumours suggest Zhang might return to teaching.
Researchers at the Korea Advanced Institute of Science and Technology and Pohang University of Science and Technology have introduced a machine learning algorithm system, InstaGAN, which can perform multiple instance-aware image-to-image translation tasks — such as replacing sheep in photos with giraffes — on multiple image datasets.
Tsinghua Natural Language Processing Group (THUNLP) has published a great reading list for any budding AI researchers whose New Year’s resolution is to study machine translation. The list compiles the most influential machine translation papers from the past 30 years, spotlighting the 10 most important contributions to the development of machine translation.
Alibaba Cloud recently announced that it has open sourced Mars — its tensor-based framework for large-scale data computation — on Github. Mars can be regarded as “a parallel and distributed NumPy.” Mars can tile a large tensor into small chunks and describe the inner computation with a directed graph, enabling the running of parallel computation on a wide range of distributed environments, from a single machine to a cluster comprising thousands of machines.
NVIDIA researchers have developed a deep learning-based system which can produce high-quality slow-motion video from a standard (30 fps) video clip. In comparison with manual slow motion results, the NVIDIA demonstration video shows far superior smoothness.
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.
Synced Global AI Weekly December 30th
Reinforcement learning (RL) has been making spectacular achievements, e.g., Atari games, AlphaGo, AlphaGo Zero, AlphaZero, DeepStack, Libratus, OpenAI Five, Dactyl, DeepMimic, Catch The Flag, learning to dress, data center cooling, chemical syntheses, drug design, etc. See more RL applications.
In the latest of a string of bot versus human video game showdowns, Tencent AI Lab’s Strategical Collaborative AI “Juewu” has beat the world’s top human player in the mobile Real Time Strategy (RTS) game “Arena of Valor.” Tencent published the results in the paper Hierarchical Macro Strategy Model for MOBA Game AI.
10 AI News You Need To Know From December W 2 – W 3
The number of AI-related research papers has skyrocketed in recent years, outpacing papers from all other academic topics since 2000. This has, not unsurprisingly, resulted in a shortage of qualified peer reviewers in the machine learning community, particularly when it comes to conference paper submissions.
Text-based CAPTCHA remain one of the most visible and commonly used mechanisms for website security. As a sort of online gatekeeper that distinguishes between humans and bots, the little solvable image fields have critical commercial applications in blocking automatic spam and preventing e-transfer fraud; and can also stop bots from spreading fraudulent information, etc.
Japanese AI startup Preferred Networks (PFN) has developed a new processor dedicated to deep learning. The company unveiled the MN-Core chip, board, and server last week at SEMICON Japan 2018 in Tokyo.
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
This summer Chinese beauty cam and photo editor specialist Meitu Inc. announced an FPGA-accelerated neural network computing project with young startup Snow Lake AI. The collaboration aims to boost computing speed on Meitu mobile phones by 30 times.
At the Huawei Intelligent Computing Conference yesterday in Beijing, the Chinese tech giant announced a new intelligent computing strategy for enterprises, launched the world’s first 7nm ARM-based data centre processor, and introduced a new-generation intelligent computing platform.
In an exclusive interview with Synced at NeurIPS, members of the University of Toronto and Vector Institute team led by Assistant Professor David Duvenaud discussed their winning submission Neural Ordinary Differential Equations — a math-based approach to designing deep learning models that is stimulating discussion across the machine learning community.
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.
Tsinghua University and Beijing Innovation Center for Future Chips (BICFC) recently published their White Paper on AI Chip Technologies, “to inform readers about the competing technologies and the development trends of AI chips.”
First-timers to NeurIPS — the world’s most prestigious machine learning conference — can explore and enjoy a tech environment full of energy, innovations, and mind-blowing discussions among people studying and working in AI.
While previous pregnancy detection techniques relied heavily on human labour, Alibaba’s new “pregnancy diagnosis algorithms” can help. The AI system was developed by Alibaba Cloud engineers in a joint effort with pig farming scientists.
The last 12 months saw unprecedented international public discourse around all things AI. As part of our year-end wrap-up, this week Synced looks at what ten notable people had to say about artificial intelligence in 2018:
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.
Synced Global AI Weekly December 16th
Natural Language Processing (NLP) is a hot research area in artificial intelligence and computer science. The technology teaches machines to understand human language so they can more effectively communicate with us. NLP research is integrated with linguistics, context analysis and semantics.
The NVIDIA paper proposes an alternative generator architecture for GAN that draws insights from style transfer techniques. The system can learn and separate different aspects of an image unsupervised; and enables intuitive, scale-specific control of the synthesis.
Andrew Ng is touting his new, free, AI Transformation Playbook. The 12 page online document is a unique package of artificial intelligence tricks aimed at the increasing number of CEOs who want to transform their companies by introducing AI technologies. The AI mastermind and founder of Landing.ai released the playbook today.
Over the last several years the world has witnessed an unprecedented acceleration in artificial intelligence research, development and deployment. There are now AI startups galore, most traditional industries are testing AI transformations, and governments around the world are writing ambitious strategic plans for the tech.