

Elicit offers an advanced AI-powered platform designed to enhance the efficiency and accuracy of academic research. With the ability to search, summarize, extract data, and interact with over 125 million research papers, Elicit automates time-consuming tasks, allowing researchers to focus on analysis and insights. Used by over 2 million researchers in academia and industry, Elicit is a transformative tool for systematic reviews, health economics, clinical trial design, and more.
Elicit provides an AI-powered platform for research automation and data analysis, enhancing efficiency, accuracy, and scalability for academic and industry researchers. Ideal for literature reviews, data extraction, and concept synthesis, Elicit transforms how researchers interact with and extract value from academic papers.
Productivity
Buffer's AI assistant helps brainstorm content ideas, rewrite posts, and craft platform-specific social media strategy without the stress.

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Ambience Healthcare is a powerful AI-driven platform that helps healthcare providers reduce administrative burdens, strengthen revenue integrity, and ensure compliance. By capturing encounters in real-time, organizing notes, and guiding coding and documentation, Ambience enables clinicians across 200+ specialties to practice medicine the way they intended - focused, present, and clinically sharp. Ambience's adaptive workflows and specialized support for complex domains like oncology, psychiatry, and emergency medicine ensure that 'good enough' is never good enough.
Productivity
MealPractice is a comprehensive meal planning solution that simplifies the process of deciding what to eat. It provides personalized recipe suggestions, helps you organize your weekly meal plans, and generates shopping lists automatically. With MealPractice, you can reclaim your weeknights and focus on enjoying the cooking experience. The platform offers an affordable, flexible pricing model, allowing you to pay only for the features you need without any recurring fees or commitments.
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Gato is a groundbreaking AI agent developed by DeepMind that can perform a diverse array of tasks, from playing Atari games to controlling a robot arm. Inspired by the success of large-scale language models, Gato takes a similar approach, using a single neural network with the same weights to handle a multitude of modalities and environments. This multi-modal, multi-task, and multi-embodiment generalist policy can seamlessly transition between different domains, showcasing the potential for a truly versatile and capable AI system.