Augmenting citizen science with computer vision for fish monitoring
MIT Sea Grant works with the Woodwell Climate Research Center and other collaborators to demonstrate a deep learning-based system for fish monitoring.
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Video Quick Take: Why Leaders Should Embrace Thinking Mode with AI – SPONSOR CONTENT FROM WOLTERS KLUWER
Sponsor Content from Wolters Kluwer.
Read MoreMethod teaches generative AI models to locate personalized objects
After being trained with this technique, vision-language models can better identify a unique item in a new scene.
Read MoreYour Company Needs a Gaming Strategy
Video games have transformed consumer engagement. Here’s how you can use them to connect with your audience.
Read MoreAI learns how vision and sound are connected, without human intervention
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.
Read MoreHybrid AI model crafts smooth, high-quality videos in seconds
The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.
Read MoreVideo Quick Take: Verizon’s Christina Schelling on Evolving Your Company’s Talent Strategy for Increased Agility and Performance – SPONSOR CONTENT FROM VERIZON
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Read MoreVideo Quick Take: Schneider Electric’s Charise Le on Working In Sustainability – SPONSOR CONTENT FROM SCHNEIDER ELECTRIC
Sponsor content from Schneider Electric.
Read MoreVideo Quick Take: Atlassian’s Annie Dean on Collaboration Trends, AI, and New Ways of Working – SPONSOR CONTENT FROM ATLASSIAN
Sponsor content from Atlassian.
Read MoreCombining next-token prediction and video diffusion in computer vision and robotics
A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.
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