Finclout
Finclout is a platform that uses AI technology to streamline the research process and provide high-quality audiovisual information from trusted sources about contextual financial news. It also offers a community of like-minded investors who earn rewards for sharing valuable insights and answering questions as part of a DAO. Users can monetize their content and participate in a revenue-sharing model. Finclout operates on Solana, Cardano, Banano, and Deso blockchain networks and offers social elements similar to existing social networks.
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Groupthink is an AI tool that allows teams to add real-time business insights to their group chat conversations. It combines features of chatbots, Slack, web search engines, and business data analysis. Teams can sign up for free and use Groupthink to quickly access Google Analytics data, identify and address website issues, and make data-driven decisions. Groupthink works well on mobile browsers and a native app is coming soon. Additionally, Groupthink can be used for solo tasks by asking questions that require web research with accurate results.
ImageBind by Meta
Introducing ImageBind, an advanced AI tool that revolutionizes the way data is linked across senses. This cutting-edge tool combines six modalities, including images, videos, audio, text, depth, and thermal inertial measurement units (IMUs), without the need for explicit supervision. With ImageBind, machines can analyze and understand various forms of information, enabling advanced AI capabilities. Experience ImageBind's remarkable capabilities across image, audio, and text modalities through the interactive demo. By learning a single embedding space, ImageBind cleverly binds multiple sensory inputs together, eliminating the need for explicit supervision. It can even upgrade existing AI models to support inputs from all six modalities, enabling audio-based search, cross-modal search, multimodal arithmetic, and cross-modal generation. ImageBind also achieves state-of-the-art performance in emergent zero-shot recognition tasks across modalities, surpassing prior specialist models trained specifically for each modality.
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