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On 11 October 2021 NVIDIA and Microsoft announced Megatron-Turing NLG 530B, a language model with 530 billion parameters that they called the largest and most powerful of its kind. The full technical report followed in January 2022.
On 19 August 2021 Tesla used its first AI Day to unveil a concept for a humanoid robot meant to do dangerous, repetitive or boring work, alongside its pure-vision driving software, the D1 training chip and the Dojo supercomputer.
On 10 August 2021 Xiaomi unveiled CyberDog, a 14 kg quadruped robot sold as a 9,999-yuan engineering exploration edition limited to 1,000 units, with a first beta round for 400 users.
On 10 August 2021 OpenAI released an improved Codex, a GPT model fine-tuned on public code, through its API in private beta. The model powered GitHub Copilot and came with the new HumanEval benchmark.
In August 2021 AI21 Labs launched AI21 Studio and its Jurassic-1 language models. The largest, Jumbo, had 178 billion parameters, and developers could use the models through an API or a web playground.
On 15 July 2021 the Institute for Protein Design released RoseTTAFold as code on GitHub and a public web server, with lead author Minkyung Baek describing structures computable in minutes on a gaming computer.
On 5 July 2021 Baidu researchers posted the ERNIE 3.0 paper, describing a 10-billion-parameter model trained on plain text plus a knowledge graph that combines auto-encoding and auto-regressive networks, topping 54 Chinese tasks and SuperGLUE.
On 29 June 2021 GitHub announced GitHub Copilot as a technical preview, an AI pair programmer that suggests lines and whole functions as developers write code. It was powered by OpenAI Codex.
In June 2021 Unitree released the Go1, a consumer quadruped robot priced from 16,000 yuan, weighing 12 kg and running at up to 4.7 metres per second; it sold nearly 1,000 units in its first year.
GPT-J-6B is a six-billion-parameter language model released by EleutherAI in June 2021 with open weights under Apache 2.0, trained on The Pile and reported to be close to the 6.7B GPT-3 on zero-shot tasks.
On 18 May 2021 Google announced LaMDA, a language model built for conversation, at its I/O keynote. It grew out of the Meena chatbot, was followed by LaMDA 2 and the AI Test Kitchen, and later powered Bard.
On 29 March 2021 Boston Dynamics announced Stretch, a mobile robot aimed at warehouse work such as truck unloading, built on a small omni-directional base so warehouses can adopt it without costly fixed automation infrastructure.
On 21 March 2021 EleutherAI released GPT-Neo, a family of language models at 125M, 1.3B and 2.7B parameters whose weights anyone could download, in contrast to OpenAI's API-only GPT-3.
On 5 January 2021 OpenAI announced DALL·E, a neural network that creates images from text captions, and CLIP, which learns visual concepts from natural-language supervision.
On 13 September 2020, NVIDIA agreed to buy Arm Limited from SoftBank and the SoftBank Vision Fund for $40 billion in shares and cash, with Arm to keep its open-licensing model and Cambridge headquarters, subject to regulatory approval.
In June 2020 OpenAI announced an API that let outside developers access its AI models. By March 2021 more than 300 applications were using GPT-3 through it.
On 14 May 2020 NVIDIA announced the A100, its first GPU built on the Ampere architecture, claiming up to 20 times the AI performance of its predecessors. It shipped in full production alongside new systems, cloud partners and supercomputer customers.
The European Commission's February 2020 white paper set out a policy to promote the uptake of AI while limiting the risks of certain uses, built on a risk-based approach, an ecosystem of excellence and an ecosystem of trust.
On 5 November 2019 OpenAI released the full 1.5-billion-parameter GPT-2, with code and model weights, ending its staged release. The model card warned that the model cannot tell fact from fiction.
In September 2019 Boston Dynamics made its quadruped robot Spot commercially available, first through an Early Adopter Program for companies that could put it to practical use and build custom payloads; broader sales followed in 2020.
In July 2019 Baidu released ERNIE 2.0, a continual pre-training framework that adds training tasks incrementally and reported beating BERT and XLNet on 16 tasks. The work was published at AAAI 2020.
