Total 1,098
In January 2018, Microsoft Research Asia's R-NET and then an Alibaba model scored above the human baseline on SQuAD, a machine reading comprehension benchmark — the first time a system had exceeded human exact-match performance there.
A preprint posted to arXiv by DeepMind on 5 December 2017 described one general reinforcement-learning algorithm that, given only the rules, learned chess, shogi and Go by self-play and reached superhuman level in all three within 24 hours.
In 2017, DeepMind announced AlphaGo Zero, a Go system that started from random play, learned only by self-play, and outperformed earlier AlphaGo versions with one neural network and far less hardware.
On 12 June 2017 a team of researchers, most of them at Google, posted the paper Attention Is All You Need to arXiv. It introduced the Transformer, a neural network built only on attention, which became the basis for most later large language models.
On 9 June 2017 SoftBank Group announced that a subsidiary had agreed to buy Boston Dynamics from Alphabet, together with the Japanese bipedal-robotics company Schaft. The terms were not disclosed.
On May 10, 2017, NVIDIA unveiled Volta, its seventh-generation GPU architecture, together with the Tesla V100 data center GPU, presented as the most powerful GPU computing architecture yet for AI and high performance computing.
In May 2017 AlphaGo beat Ke Jie, then the world's top-ranked Go player, in all three games of a match at the Future of Go Summit in Wuzhen, China. DeepMind retired the program from competition afterwards.
In April 2017 Baidu launched Apollo, an open platform giving partners vehicle, hardware and software platforms plus cloud data services, which Baidu hoped would become the Android of the automotive world.
PyTorch was publicly released in January 2017 as a beta, with first-class Python integration and an imperative style. Built by people from the Lua Torch community with Facebook's backing, it later became a widely used deep-learning framework.
In late 2017 a Reddit user going by the name "deepfakes" posted face-swapped videos, and the word became the common label for synthetic media made with deep learning.
In December 2016 Alphabet spun its self-driving car project out into a separate company, Waymo, turning a long-running research effort into a business that supplies self-driving technology rather than cars.
On 5 December 2016 Amazon showed a prototype food store in Seattle, Amazon Go, where shoppers would be charged automatically instead of queuing at a checkout.
On 13 October 2016 Alibaba Cloud announced a Hangzhou project, led by the municipal government, that used its ET AI programme and big-data analytics to predict traffic in real time and adjust traffic lights.
On 27 September 2016 Google Research announced GNMT, a neural machine translation system it put into production for Chinese-to-English on Google Translate, reporting large cuts in translation errors.
On 8 September 2016, DeepMind announced WaveNet, a deep neural network that generates raw audio one sample at a time. In blind listening tests it beat Google's existing text-to-speech systems and narrowed the gap to human speech.
In August 2016 NVIDIA CEO Jensen Huang hand-delivered the first DGX-1, a turnkey eight-GPU deep learning machine, to OpenAI in San Francisco — an early piece of dedicated AI hardware at a young research lab.
At CVPR 2016 in Las Vegas, the Best Paper Award went to "Deep Residual Learning for Image Recognition" by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun. Google Scholar later reported it as the most cited research paper over five years.
On 18 May 2016, four Chinese government bodies issued a three-year action plan for "Internet Plus" artificial intelligence, setting targets for 2018, naming priority technologies and products, and putting a figure on the market it aimed at.
At its I/O conference in May 2016, Google introduced the Google assistant, previewed the Google Home speaker that brings it into the house, and showed the Allo and Duo apps that carry it on phones.
In May 2016 Google disclosed the Tensor Processing Unit, a custom chip built for machine learning that had already run in its data centers for over a year and powered RankBrain, Street View and AlphaGo.
Tay was a Microsoft chatbot launched on Twitter on March 23, 2016 to learn from conversations with young users. Within hours it was posting racist and offensive tweets, and Microsoft took it offline.
