ΑΙhub.org



AIhub Editor


website   |   @aihuborg   |  

AIhub editors are dedicated to providing free high-quality information about AI.




recent posts:


›   #AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering


›   #AAAI2024 workshops round-up 2: AI for credible elections, and are large language models simply causal parrots?


›   Call for AI-themed holiday videos, art, poems and more


›   AIhub coffee corner: Regulation of AI


›   Congratulations to the #ICML2023 outstanding paper award winners


›   AIhub coffee corner: AI risks, pause letters and the ensuing discourse


›   Interview with Safa Alver: Scalable and robust planning in lifelong reinforcement learning


›   VISION AI Open Day: Trustworthy AI


›   Interview with Haotian Xue: learning intuitive physics from videos


›   Interview with Fanglan Chen: Exploring tradeoffs in automated school redistricting


›   “Computing and Technology Ethics: Engaging Through Science Fiction” – an interview with the authors


›   #AAAI2023 workshops round-up 3: Reinforcement learning ready for production


›   A list of resources, articles, and opinion pieces relating to large language models


›   Missing links in AI governance – a new book release


›   #AAAI2023 workshops round-up 2: health intelligence and privacy-preserving AI


›   #AAAI2023 workshops round-up 1: AI for credible elections, and responsible human-centric AI


›   All questions answered: how CLAIRE shapes the future of AI in Europe


›   Counterfactual explanations for land cover mapping: interview with Cassio Dantas


›   AIhub coffee corner: Large language models for scientific writing


›   Interview with Katharina Weitz and Chi Tai Dang: Do we need explainable AI in companies?


›   AI holidays 2022


›   CLAIRE and euRobotics: all questions answered on humanoid robotics


›   AIhub coffee corner: Is AI-generated art devaluing the work of artists?


›   Learning an artificial language for knowledge-sharing in multilingual translation


›   Call for AI-themed holiday videos, art and more


›   #NeurIPS2022 outstanding paper – Gradient descent: the ultimate optimizer


›   Learning to efficiently plan robust frictional multi-object grasps: interview with Wisdom Agboh


›   A survey of mixed-precision neural networks


›   Interview with Nina Wiedemann and Valentin Wüest: developing a gradient-based control method for robotic systems


›   Interview with Steven Kolawole: A sign-to-speech model for Nigerian sign language





next page →



AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association