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transfer learning
Trends
- 1ZEST Enables Zero-Shot Skill Transfer for Athletic Robots▼ZEST: Zero-shot embodied skill transfer for athletic robot control
Researchers have unveiled ZEST, a framework allowing robots to transfer learned skills to new athletic tasks without additional training. The approach targets zero-shot embodied control, meaning a robot could apply movements from one physical activity directly to another it has never practiced. The work was highlighted in Science's news section, drawing attention from robotics researchers and observers of advances in physical machine learning.
- 2Robotera's VPP2 robot model tops RoboDojo benchmark▼Robotera's VPP2 World Action Model Tops RoboDojo, Scores 58.5% Zero-Shot on Real ALOHA Arms
Chinese robotics firm Robotera says its VPP2 world action model has topped the RoboDojo benchmark, achieving a 58.5% zero-shot success rate on real ALOHA robotic arms. The result suggests the model can transfer skills to physical hardware without task-specific training, a key challenge in robot learning. The claim is drawing attention in the humanoid and embodied AI field, where benchmark leadership is closely watched as companies race toward general-purpose robot intelligence.
- 3Screen printing workshop series at Haus Mainusch in Mainz●How to Siebdruck - Workshopreihe Haus Mainusch, Mainz, Mittwoch, 28. Oktober um 18:00 MEZ Wir machen neue Motive fürs Ha
Haus Mainusch, a self-organised cultural house in Mainz, is hosting a screen printing workshop series starting Wednesday, 28 October at 6pm CET. Participants will learn how the printing process works, how to make a screen, and how to transfer their own designs. New motifs for the house itself will be created, and attendees are encouraged to come to all three sessions.
- 4New Transfer Learning Tool Lets Weather Satellites Share Knowledge●Physics Meets AI: New Transfer Learning Tool Lets Weather Satellites Share Their Knowledge
Researchers have introduced a transfer learning tool that allows weather satellites to share knowledge between models, combining physics with artificial intelligence. The approach is said to help satellite systems apply what one model has learned to others, improving weather monitoring and forecasting. Details about the team behind the tool, its performance, and its availability remain limited, and reaction from the meteorology and AI communities is not yet documented.
- 5Arsenal face £85million price tag in transfer chase●Arsenal news: Mikel Arteta set for transfer windfall as he discovers £85million price tag https:// fed.brid.gy/r/https:/
Mikel Arteta has learned that a transfer target carries an £85million price tag, potentially giving the Arsenal manager a significant transfer windfall to work with. The report, published by the Mirror, links the valuation to Arsenal's pursuit of Sporting Lisbon striker Viktor Gyokeres. Fans are debating whether the fee represents value for a player who could bolster Arsenal's attacking options.
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Real Madrid have reportedly been informed of the asking price for a player currently playing in the Premier League, as the Spanish club continue to weigh up a move for the English top-flight target. No name or fee has been confirmed, and negotiations have not officially begun, but the valuation is now seen as the starting point for any potential transfer talks.
- 7Fulham wonderkid urged to avoid Elliott and Sessegnon transfer pitfalls●Why Fulham’s generational talent must learn from Harvey Elliott, Ryan Sessegnon transfer mistakes
Commentary around Fulham argues the club's latest highly rated academy talent should study the careers of Harvey Elliott and Ryan Sessegnon before making a big move. Both players left Craven Cottage young amid high expectations, and Elliott later returned to Fulham while Sessegnon's progress stalled after transfers. The debate centers on whether staying longer to develop would serve the young player better than an early switch.