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.
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.
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.
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.
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.
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.
Synthesizing peptides — the chains of amino acids that conduct various functions within cells — has long been a research area of interest for scientists and engineers. There has however been little success thus far, as existing methods for synthesizing peptides have been prohibitively expensive and time-consuming.
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.
Last December Synced compiled its first “Artificial Intelligence Failures” recap of AI gaffes from the previous year. AI has achieved remarkable progress, and many scientists dream of creating the Master Algorithm proposed by Pedro Domingos — which can solve all problems envisioned by humans.
Chinese tech giant Tencent’s first attempt in AI healthcare was the Miying platform, which has been a point of pride for CEO Huateng Ma since its 2017 launch. Supported by AI-powered medical imaging technologies, Miying assists doctors with the screening of esophageal cancer, pulmonary nodules, cervical cancer, etc. The platform has been well received in the AI and medical communities, with a fast-expanding market in Chinese top-tier AAA hospitals.
The Association for Computing Machinery (ACM) has announced its 2018 Fellows. A total of 56 scholars with outstanding contributions in computer-related fields were honoured; and six Chinese scholars — Fei-Fei Li, Huan Liu, Jiebo Luo, Lili Qiu, Tian He, and Lillian Lee — are among them.
Photos of an artificial intelligence textbook for Chinese preschoolers have gone viral. Artificial Intelligence Experiment Materials is a 33-volume textbook series aimed at Chinese students from kindergarten to high school that was published this July by Henan People’s Publishing House.