Total 22 · Clear filters
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.
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.
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.
In January 2000, Carnegie Mellon announced that its NASA-funded rover prototype Nomad was searching for meteorites in Antarctica, and that the public could follow the hunt through the Big Signal Web site. The BBC reported the expedition as the first time a robot found extraterrestrial material on Earth.
The first official RoboCup games and conference, held in 1997 as planned with IJCAI-97 in Nagoya, drew more than 40 real and simulated teams and over 5,000 spectators, and marked the first step toward robotic soccer players that could beat a human World Cup champion team.
Held in Osaka in November 1996 alongside IROS-96, Pre-RoboCup-96 was the first robot soccer competition aimed at research and education, with eight simulation-league teams and a middle-size robot demonstration; official RoboCup games followed in 1997.
At IJCAI-95 in Montreal in August 1995, organizers announced the first Robot World Cup, to be held with IJCAI-97 in Nagoya, and set up Pre-RoboCup-96 plus the Soccer Server simulator.
In June 1993, researchers including Minoru Asada, Yasuo Kuniyoshi and Hiroaki Kitano proposed a robot soccer competition tentatively called the Robot J-League. International interest soon led to its renaming as the Robot World Cup Initiative, or RoboCup.
In 1992, Alan Mackworth's paper on seeing robots and a Tokyo workshop on AI grand challenges independently put forward robot soccer as a way to drive AI and robotics research.
