AI Technology & Industry Review
Global AI Industry updates.
Personal computers and mobile devices are in their heyday. Researchers are swarming standalone AI, focusing on how to automate self-learning intelligent systems. The interfaces for wearables meanwhile are evolving from smart screens to gesture commands, like those often seen in AR and VR commercials.
Nowadays, the use of agricultural robots are steadily rising, like the AgBot II, which helps detect and classify weeds, and Harvey, used for detecting and segmenting crops.
Thanks to AlphaGo, the term “Artificial Intelligence” (AI) came under the spotlight (again). However, Jean-Christophe Baillie doesn’t agree that AlphaGo is AI, for the reason that it’s not able to get us to full AI – an Artificial General Intelligence (AGI).
At this year’s GPU Technology Conference, Nvidia CEO and Founder Jensen Huang unveiled a new generation GPU architecture called Volta.
Chinese tech companies with high revenue streams are pumping money into R&D and recruiting talents in the US with newly founded facilities.
The 2017 Harvard China Forum hosted a panel on “Futuristic Technologies & Innovations in AI and Biotech”, where Feng Zhang was invited to share insights on genome-editing.
AI companies require accurate data for specialized applications, and seemingly little things such as labelling and tagging demand accuracy. At present, only humans are up for the task.
Andrew Ng – former Baidu Chief Scientist, Coursera co-founder, and Stanford Adjunct Professor – gave a talk at the Stanford MSx Future Forum.
Jie Jiang, Tencent’s big data platform director and the chief data expert, gave a speech on Tencent’s third generation open-source computing platform Angel.
Tecent launched their third-generation computing platform in machine learning named Angel, and they would make this platform open source in early 2017.
Synced recently conducted a special interview with the Director of Tencent AI Lab Tong Zhang, to discuss about the strategic position and research focuses in Tencent.
“The Internet is just an appetizer, whereas AI is the real entrée. The latter is not a part of the internet, not the second stage of the internet; it is technological revolution comparable to the industrial revolution.” – Robin Li, CEO of Baidu.
On March 29, The “Joint Laboratory of Language Intelligence and Human Machine Interaction” opened its doors in Beijing. This lab is the result of a collaboration between Chinese AI company Mobvoi and CASIA.
On March 29, 2017, during the 2017 YunQi Computing Conference held in Shenzhen, Alibaba Cloud’s Chief Science Officer Dr Jingren Zhou officially launched the updated version of its machine learning platform “PAI 2.0”, intending to drastically reduce the technical threshold and development cost for AI.
In this article we will provide some insights of Intel’s recent deep learning products.
On March 28, Tencent Cloud launched its machine learning platform DI-X, with a goal of providing a one stop shop for its machine learning and deep learning customers.
Noë proposes his ideas towards current neuroscience research using reductionism approach is far from understanding the philosophy behind our consciousness.
Neuromorphic computing, a promising direction for future of computing that emulates human brain to maintain energy efficiency and fast computing speed.
At Rework Machine Learning Summit at San Francisco, speakers from tech giants, as AI research labs and AI-related startups, are invited to present their latest study in machine learning.
Synced got a chance to interview with Dr. Zhou Xi . from personal experience to CouldWalk ‘s development and future trend.
Synced had the opportunity for an exclusive interview with Tecent AI Lab’s senior manager, team lead for Fine Art, Liu Yongsheng.
March 2, 2017, the opening ceremony for China’s National Engineering Laboratory of Deep Learning Technology was held on the Baidu Campus.
Canada unveiled a budget of $125 million to launch Pan-Canadian Al Strategy, a new independent institute for AI, Vector Institute.
Google released a method for recovering pictures from low resolution to high resolution using pixel recursive super resolution model.
ERICA, an autonomous android system capable of conversational interaction, and is arguably the most human-like android built to date.
Between March 8-10, Synced was invited as media guest to attend the Google Cloud NEXT ’17 conference in San Francisco.
On March 6th 2017, IBM announced the company’s initiative to build the first universal quantum computing system for commercial use in New York.
At RE•WORK Summits, speakers are invited to present advances from the world’s leading innovators, showcase the opportunities in emerging health care industry
Baidu will now take lead in building China’s National Engineering Laboratory of Deep Learning Technology and Application
This talk summarizes the limitations of RNN (including LSTM, GRU), from both empirical and computational hierarchy mechanism perspectives.
This talk is focused on the future potential of deep learning with NVIDIA Deep Learning SDK and GPU hardware families.
Chief Scientist Lei Li of Toutiao discusses how to apply machine learning to natural language understanding and producing machine-written news articles
Sample-based Monte Carlo Localization is notable for its accuracy, efficiency, and ease of use in global localization and position tracking.
In a tech talk at University of Toronto, NVIDIA shared some updates regarding their research of self-driving car and End-to-End Learning
Synced had a special interview with Ng to learn more about the progress of AI research at Baidu, why and how he became an AI expert.
computer science graduate student named Kaheer Suleman founded a company called Maluuba, using an intelligent program he invented as the product.
2016 was full of ups, downs, and surprises: for the world and for AI.
Yoshua Bengio, Geoffrey Hinton, Richard Sutton and Ruslan Salakhutdinov Panel Summary at 2016 I was at the 2016 “Machine LearningContinue Reading