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2024-08-28 11:52:13
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AIbase
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11.3k
Calendar Tool Clockwise Launches New AI Interface Prism to Simplify Meeting Scheduling
Clockwise has updated its AI-driven interface Prism, significantly enhancing scheduling efficiency. Prism can identify and resolve scheduling conflicts, batch create or delete events, automatically convert to-do items into calendar events, and intelligently handle text commands to generate effective links for others to respond to meeting invitations. Its powerful conflict detection and time selection features, along with integration with multiple schedules, make team meeting arrangements more convenient. Clockwise employs a customized scheduling engine, enabling quick responses through a natural language query interface.
2024-08-27 17:01:42
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AIbase
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11.3k
Clockwise's Intelligent Calendar Tool Launches AI Assistant Prism for Free Use
Clockwise recently released its updated AI assistant, Prism, which automates schedule management through text prompts. Users simply input commands, and Prism can resolve scheduling conflicts, bulk create or clean up events, and even transform to-do items into calendar blocks. Its operation is straightforward and efficient, such as generating meeting links or automatically adjusting times to avoid conflicts. Prism can also automatically schedule meetings for team members and supports directly assigning to-do items to the calendar. Additionally, it can manage multiple meetings with several colleagues.
2024-07-14 10:34:47
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AIbase
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10.2k
New Breakthrough in Video Understanding! Google Unveils Universal Video Model VideoPrism for Precise Classification, Localization, and Retrieval All in One!
In the world of AI, making machines understand videos is much harder than understanding images. Videos are dynamic, with sound, movement, and a myriad of complex scenes. In the past, AI viewed videos as if they were reading ancient scrolls, often leaving them baffled. But the introduction of VideoPrism might change everything. It's a video encoder developed by Google's research team that can achieve state-of-the-art levels on a variety of video understanding tasks with a single model. Whether it