Harnessing gravity to create a low-cost microfluidic device for rapid cell analysis

Harnessing gravity to create a low-cost microfluidic device for rapid cell analysis

Slug flow-driven microfluidic chip. Credit: Doni Soward/Rice University A team of researchers at the George R. Brown School of Engineering and Computing at Rice University has developed an innovative artificial intelligence (AI)-enabled, low-cost device that will make flow cytometry—a technique used to analyze cells or particles in a fluid using a laser beam—affordable and accessible.

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Harnessing AI Technology: the Future of Voice&Enabled Chatbots

Harnessing AI Technology: the Future of Voice&Enabled Chatbots

Harnessing AI Technology: the Future of Voice-Enabled Chatbots – Image Credit Unsplash    Thomas Reiner’s recent discussion on Platform Aeronaut demonstrates how OpenAI’s GPT-3 model shapes the future of voice chatbots. The Generalized Pre-training Transformer 3 (GPT-3) is an artificial intelligence language prediction model that uses machine learning to generate human-like text. It can understand context

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