All articles tagged with #niantic
Pokémon GO's servers experienced a widespread outage during the Mega Rayquaza Raid Day in Japan, causing frustration among players worldwide as they couldn't join raids or access game features, with no official statement from Niantic yet.
Pokemon Go is overhauling its leveling system on October 15, increasing the level cap from 50 to 80, adding new rewards, cosmetics, and features to make progression more rewarding. Players can earn bonuses and special items before the update, and existing levels will be adjusted based on total XP. The update aims to enhance player engagement with new tasks, increased storage, and better chances of becoming Lucky Friends.
Pokémon Go is increasing its trainer level cap from 50 to 80 starting October 15th, with new tasks and rewards, while hosting an XP celebration event from August 25th to October 14th to help players level up. Some exclusive rewards will be discontinued, but existing ones remain accessible.
Niantic has confirmed that using 'Micro GPS Drift' to manipulate location in Pokémon GO is a violation of the game's Terms of Service, and players caught using this exploit risk account warnings or bans. The practice involves intentionally toggling GPS to access gyms and raids beyond normal range, but Niantic's anti-cheat systems can detect this behavior. Players are advised to play within the rules to maintain fair gameplay.
The Pokémon GO community is divided over Niantic's new systems, which have made the game more complex and less accessible. Features like Shadow Raids and Max Battles require extensive preplanning, farming of special items, and coordination with other players, making it difficult for solo players and those in smaller communities to participate. This shift from the game's original "pick up and go" style has frustrated many players, drawing comparisons to the demanding gameplay of World of Warcraft's early days.
Galarian Corsola, a new addition to Pokémon GO, is proving to be a strong contender in PvP battles due to its high bulk and improved moveset. Unlike its Water/Rock predecessor, this mono-Ghost type Pokémon has few vulnerabilities and benefits from recent buffs to its moves. Although currently only available through eggs, making it challenging to obtain ideal IVs, Galarian Corsola's performance in the Great League is impressive, boasting a high win rate against many meta Pokémon. Its evolved form, Cursola, however, lacks the same PvP viability.
Pokémon Go's "An Accomplished Trainer" Special Research, available during the Go Wild Area: Global 2024 event, allows players to choose between electric or poison paths, impacting quest steps and post-event bonuses. Completing the research by November 25 unlocks bonuses like double damage for chosen types and increased Team Go Rocket appearances. The choice also affects the final rewards, including a costumed Pikachu and a Dynamax Toxtricity form, with the decision potentially influencing raid strategies against specific Pokémon.
Niantic, the creator of Pokémon Go, has revealed plans to use data from the game to develop a Large Geospatial Model (LGM), an AI tool designed to help machines understand and navigate real-world environments. This has led to feelings of betrayal among some players, although Niantic maintains that the data usage was disclosed in the game's terms and privacy policy. The LGM aims to enhance future augmented reality and robotic applications, but concerns about potential misuse of AI data remain.
Niantic, the company behind Pokémon Go, has used the game's popularity to collect detailed images and scans of over 10 million locations worldwide, surpassing even Google's street view in some areas. By leveraging players' movements, Niantic has developed a Visual Positioning System that uses these scans to train neural networks, creating digital recreations of real-world spaces. This data collection aims to enhance augmented reality products, autonomous systems, and navigation, effectively positioning Niantic as a competitor to Google Maps.
Niantic, the creator of Pokémon Go, has revealed that the game has been used to collect vast amounts of geospatial data, training AI to understand and navigate 3D spaces. This data, gathered from millions of user-submitted photos, has been used to develop a "Large Geospatial Model" for augmented reality applications. While Niantic highlights positive uses, such as enhanced AR features, the potential for more concerning applications of this technology is also noted.
Niantic, the company behind Pokémon Go, has been using data collected from the game to train a large geospatial AI model, which aims to improve navigation and interaction with physical spaces for robots and other devices. This model, built from over 10 million scanned locations, is intended to enhance technologies like AR glasses and autonomous systems. While many players are indifferent to their data being used in this way, critics express concern over potential military applications of the technology.
Niantic has announced plans to develop a Large Geospatial Model (LGM) using data collected from Pokémon GO players' PokéStop scans. This AI model aims to help computers understand and navigate the physical world by integrating billions of images and location scans. The LGM will combine local models to create comprehensive 3D images of structures, enhancing navigation and spatial understanding. Niantic's existing Visual Positioning System (VPS) has already mapped 10 million locations, but the LGM requires significantly more data to be fully realized.
Niantic, the developer of Pokémon Go, is using data collected from players to train a "Large Geospatial Model" (LGM), an AI designed to auto-complete real-world locations with limited information. This model, similar to a Large Language Model but for physical spaces, aims to enhance technologies like AR glasses and robotics by predicting unseen areas based on common characteristics of known locations. Niantic's Visual Positioning System (VPS) uses images from phones to map locations with high accuracy, enabling persistent digital content in the real world. While currently focused on enhancing its products, the data collection raises concerns about future AI applications.
Niantic is developing a 'Large Geospatial Model' (LGM) using data from Pokémon Go and other products to enhance spatial intelligence in AI. This model leverages millions of scans from players' smartphones to create high-fidelity 3D maps, enabling computers and robots to better understand and interact with the world. The data, collected from a pedestrian perspective, includes locations inaccessible to cars, offering unique insights for the AI model.
Niantic is developing an AI navigation system using data from Pokémon Go and its Scaniverse app, creating a "large geospatial model" that processes physical spaces through geolocated images. This model, akin to large language models, is built from over 10 million scanned locations worldwide, with users contributing around 1 million new scans weekly. The system uses first-person scans to map areas inaccessible to traditional street-view cameras, training over 50 million neural networks to digitally represent physical spaces with 150 trillion parameters.