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Chinese AI start-up SenseTime is considering IPO on Shanghai Stock Exchange’s STAR Market.

Alibaba Cloud wraps up the deployment three data centres in Nantong, Hangzhou, and Ulanqab city, plans to add over one million servers to expedite regional infrastructure development.

Researchers proposed a new transformer architecture called “Performer” — based on what they call fast attention via orthogonal random features (FAVOR).

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The industry-standard MLPerf benchmark today released the results of the third round of its ongoing ML Training Systems competition.

Unlike previous work that suggested fully-connected networks can only deliver subpar performance, Neyshabur’s experiments showed a significant performance jump.

According to Chinese media Zhidongxi, from the second quarter of this year to July 23, public record shows 77 semiconductor-related financing activities in China.

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The researchers say the approach produces motions that are visually and physically much more plausible than state-of-the-art methods.

Chinese tech giant Tencent has proposed to acquire all of the Sogou’s outstanding ordinary shares for a cash price of US$9 per share.

New research from UK based AI company and research lab DeepMind is enabling AI agents to perceive dynamic real-world environments more like humans do.

New York will suspend implementation of AI facial recognition technology in schools for two years on Wednesday.

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Researchers introduce a joint Spatial-Temporal Transformer Network (STTN) to tackle such video inpainting challenges.

The University of Florida (UF) and Nvidia University announced on Tuesday the plan to build the world’s fastest AI supercomputer in academia, providing 700 petaflops of AI performance.

According to Bloomberg, Nvidia is eyeing the possibility of acquiring Arm, the chip design subsidiary of Japan’s Softbank Group.

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Google researchers propose an “AutoML-Zero” approach designed to automatically search for machine learning (ML) algorithms from scratch, requiring minimal human expertise or input.

According to the Verge, Amazon funded self-driving company Aurora will test a small vehicle fleet at the highways near Dallas-Fort Worth area in the next few weeks.

Researchers from ByteDance AILab and Shanghai Jiao Tong University have introduced Xiaomingbot, a multilingual and multimodal news reporter.

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South Korea government plans to introduce AI car insurance services next year to speed up post-accident handling.

Dubai’s Roads and Transport Authority (RTA) is implementing AI technologies to monitor the service provided by taxi drivers.

Research institution Strategy Analytics predicts that the smart home market will resume in 2021 and consumer spending will increase to USD 62 billion.

Google is investing USD 4 billion in India’s Jio platforms, a subsidiary of conglomerate Reliance Group, to create affordable smartphones for the Indian market.

China’s self-driving truck company TuSimple forges strategic partnership with US truck manufacturer Navistar to jointly develop L4 driverless trucks, striving for mass production by 2024.

News report that a Tesla Model S crashed into Arizona Department of Public Safety police vehicle on Tuesday in California.

Google officially released the 2020 Scholar Metrics list.

A team of Google researchers recently proposed a novel “complete and label” domain adaptation approach.

Cambricon Technologies, one of China’s AI chip giant founded in 2016, has raised US $369 million in IPO at the Shanghai Stock Exchange’s STAR Market.

This paper carefully engineers artificial-language learning experiments to replicate sources of information infants learn from and under what conditions.

NVIDIA researchers propose a novel vid2vid framework that utilizes all past generated frames during rendering.

Microsoft announced it would spin off its chatbot business XiaoIce, with all associated technologies licensed to a newly formed independent company.

NeurIPS desk-rejects (papers passed over without review) has become “a super noisy process,” complains a post in the Reddit Machine Learning group.

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TaBERT-powered neural semantic parsers showed performance improvements on the challenging benchmark WikiTableQuestions and demonstrated competitive performance on the text-to-SQL dataset Spider.

Researchers proposed a Taylor Expansion Policy Optimization (TayPO) framework that combines two leading algorithmic improvement methods.

The acceptance rate of 21.8 percent is slightly lower than 2019’s 22.6 percent (774 accepted papers from 3,424 submissions).

DeepMind introduced a new approach designed to improve the generalizability and efficiency of algorithms represented by neural networks.