tennis
PulseAugur coverage of tennis — every cluster mentioning tennis across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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AI voice calls lines in major tennis tournaments
A new technology is being used in major tennis tournaments to audibly call out balls that are out. This system, referred to as "TheVoiceOfDigital" or "La Voce Del Digitale," aims to provide clear and consistent line cal…
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New tennis event detection benchmark released with diverse video angles
Researchers have developed a new benchmark for detecting tennis events, such as ball bounces and racket hits, from video footage. This benchmark includes 345 frame-level annotations across various camera viewpoints, inc…
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Vision models trained on egocentric tennis data predict player and ball movements
Researchers have developed a new method to enable agile robots to perceive and predict dynamic sports actions using egocentric vision. They created a tennis dataset with synchronized video, player positions, and stroke …
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Mastodon AI News Search Surfaces Real-World Activity Content
Mastodon is featuring an AI News Search feature that helps users discover content related to real-world activities. This mode highlights topics such as tennis and games, presenting them alongside relevant books. The goa…
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Alumni sought for biotech/tech community discussion
This item is a social media post from a Mastodon user seeking connections with alumni from Philadelphia-area universities like UPenn, Drexel, Temple, and Villanova. The user also intends to discuss the application of te…
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New AI framework predicts tennis player injury risk using multimodal data
Researchers have developed a multimodal framework called PART (Predictive Athlete Readiness framework for Tennis) to assess both performance and injury risk in tennis players. This framework integrates data from physiol…
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Humanoid robots: Everest climbs, sports dominance, and trade skills predictions
A Reddit thread on r/singularity is soliciting predictions about when humanoid robots will achieve significant milestones. Users are asked to forecast when robots will successfully climb Mount Everest, outperform top hu…
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New event-based system accurately estimates ball spin in real-time
Researchers have developed an event-based active vision system designed to accurately estimate the spin of balls in real-time across various professional sports. This system utilizes an event camera for high temporal re…
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Graph neural network captures intransitive dominance for tennis forecasting
Researchers have developed a novel graph neural network (GNN) approach to forecast tennis matches by explicitly modeling intransitive player dominance. This method represents players as nodes and match outcomes as direc…