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On 10 February 2026 Runway announced a $315 million Series E at a $5.3 billion valuation, nearly double its previous valuation, and said the money would fund pre-training of next-generation world models.
On 11 December 2025, Runway announced GWM-1, a general world model that simulates environments in real time, released in Worlds, Avatars and Robotics variants and built on the company's Gen-4.5 model.
On 5 August 2025 Google DeepMind announced Genie 3, a world model that turns text into navigable environments generated in real time at 24 frames per second and 720p, released as a limited research preview.
On 26 July 2025 Tencent open-sourced HunyuanWorld 1.0, a model that builds explorable 3D worlds from text or images, with a technical report.
Aurora is a foundation model for the Earth system whose Nature paper, published on 21 May 2025 and promoted by Microsoft Research the same month, reports better than operational forecasts across four domains at far lower compute.
On 18 March 2025 NVIDIA announced Isaac GR00T N1, a humanoid robot foundation model released immediately to robotics developers as the first of a family of customizable pretrained models, alongside open simulation tools.
On 6 January 2025, at CES, NVIDIA launched Cosmos, a platform of open world foundation models for physical AI used to train robots and autonomous vehicles.
Genie 2 is a Google DeepMind world model, announced on 4 December 2024, that turns a single image into a playable, action-controllable 3D world that people or AI agents can explore with a keyboard and mouse.
On 11 September 2024 Google added Audio Overviews to NotebookLM, turning a user's sources into a spoken discussion between two AI hosts; interactive questions came in December 2024 and Video Overviews in July 2025.
In March 2024 NVIDIA announced Project GR00T, a general-purpose foundation model for humanoid robots. A year later it released Isaac GR00T N1, which it presented as a fully customizable humanoid model.
On 14 November 2023, Google DeepMind announced GraphCast; its Science paper reported beating ECMWF HRES on most test variables, and a live version forecast Hurricane Lee's landfall earlier.
On 5 July 2023 Nature published Pangu-Weather, a deep-learning global weather model that reported better deterministic forecasts than ECMWF's operational system on every variable it tested, in the same issue as a deep-learning precipitation nowcasting paper.
On 30 October 2019, DeepMind announced that AlphaStar reached Grandmaster level in StarCraft II for all three races, ranking above 99.8% of active players and playing under human-like interface limits.
On 13 April 2019, OpenAI Five — a team of reinforcement-learning bots — beat OG, the reigning Dota 2 world champions, in a best-of-three in San Francisco, and days later won 99.4% of games in a public online arena.
On 19 December 2013, DeepMind researchers posted a paper showing that one convolutional network, trained with a variant of Q-learning, could learn Atari 2600 control policies directly from raw pixels and outperform prior methods on six of seven games.
On October 10, 2011, Stanford Engineering opened three free online computer science courses — databases, machine learning and artificial intelligence — to anyone online. Enrolments ran from 66,000 to an unprecedented 160,000 students from over 190 countries, without Stanford credit.
The 25th AAAI Conference on Artificial Intelligence was held on August 7–11, 2011 at the Hyatt Regency San Francisco, bringing AI researchers and practitioners together for keynotes, invited talks and scientific exchange; David Ferrucci of IBM's T. J. Watson Research Center gave a keynote.
A 2010 NIPS workshop on deep learning and unsupervised feature learning. Its cited papers examine pre-training and fine-tuning for speech recognition and connect earlier and later work in the field.
AI@50 was a 2006 conference at Dartmouth College marking fifty years since the 1956 Dartmouth Summer Research Project, where the term "artificial intelligence" had been coined. Several of the original participants returned for three days of talks.
In January 2004 NASA's Spirit and Opportunity landed on Mars carrying autonomous navigation software. The mission was planned around about one kilometre of driving; the rovers went much farther, with a large share of their early driving decided on Mars rather than on Earth.
A 2004 CIFAR research program proposed by Geoffrey Hinton with Yoshua Bengio and David Fleet, which CIFAR describes as the starting point of the deep learning era and the predecessor of today's Learning in Machines & Brains program.
