Best AI tools for< Conference Coordinator >

Remo is an all-in-one online event solution that transforms virtual meetings into real-life events by creating an engaging environment where attendees can connect, interact, and move like it's a real-life event. With features like immersive event networking, interactive conferences, dynamic webinars, and virtual career fairs, Remo offers a comprehensive suite of tools for hosting impactful virtual experiences. Trusted by over 1000 organizations worldwide, Remo provides a platform to host various types of virtual events seamlessly, all in one place.

Gatherly Virtual Events is a platform that offers full-service virtual events for various occasions such as trade shows, career fairs, networking events, conferences, product launches, holidays, bootcamps, and more. It allows users to host up to 10,000 guests in an immersive digital venue, providing a more engaging experience than traditional video conferencing tools like Zoom or MS Teams. With features like Virtual Hospitality, Data Analytics, White Glove Service, Built for Engagement, and Post Event Analytics, Gatherly aims to replicate the magic of in-person interactions in a virtual setting. The platform also offers customizable landing pages, event planning assistance, and detailed post-event reports to enhance the overall event experience.

Revent is an event planning platform that helps users organize, promote, and manage their events. It offers a suite of features to help users with every aspect of event planning, from finding the right venue to managing guest lists and tracking RSVPs. Revent also offers a unique AI-powered assistant, Eva, who can help users with a variety of tasks, such as finding vendors, creating event timelines, and answering questions.

Cyncrocity is a platform that empowers global innovation ecosystems through event discovery, ticketing, and networking. They offer solutions such as ecosystem discovery, event ticketing, and an event networking app to help users connect with the right people and companies. Their mission is to redefine how individuals discover the right ideas and individuals at the right time and place. Cyncrocity is trusted by prestigious ecosystem builders worldwide and is known for its unique ecosystem mapping approach that shapes innovation in real-time.

Meetgeek.ai is an AI-powered platform designed to enhance virtual meetings and conferences. It offers a range of features to streamline the meeting experience, such as integrations with popular conferencing tools, detailed guides on settings and features, and regular updates to improve functionality. With a focus on user-friendly interfaces and seamless communication, Meetgeek.ai aims to revolutionize the way teams collaborate remotely.

The website is a generative AI tool designed for communication professionals. It aims to enhance communication skills by providing users with the ability to listen with intelligence and speak with confidence. The tool offers a unique experience that leverages AI technology to assist users in improving their communication abilities. Users can access features such as speech analysis, language generation, and personalized feedback to enhance their communication skills.

PageWise AI is an AI application that provides instant insight into Confluence data by turning tedious searches and repetitive questions into intuitive AI-powered conversations directly in Slack. It offers effortless integration with Slack and Confluence accounts, eliminates the need for sifting through pages, reduces repetitive queries, connects hidden insights within Confluence pages, boosts communication, and scales with business needs. PageWise AI offers flexible pricing plans catering to different team sizes and requirements, with the option for custom integrations, data sources, and self-hosted solutions for enterprise users.

Rizz AI is an AI-powered platform designed to help individuals practice and improve their social skills. The platform offers users the opportunity to practice conversations, receive feedback, and build confidence in various social scenarios. By simulating real-world interactions, Rizz AI aims to enhance users' communication skills and boost their self-assurance. With a focus on speech training and goal achievement, the platform provides personalized feedback and tailored insights to help users track their progress and identify areas for improvement.

Grantable is an AI grant writing tool designed to assist grant professionals in drafting high-quality grant proposals efficiently. It offers a Smart Content Library, solutions for various sectors like nonprofits, agencies, academic institutions, government, and businesses. Grantable helps users secure non-dilutive funding by providing AI assistance in writing, organizing source material, and navigating application materials. The tool aims to streamline the grant writing process, save time, and improve the quality of proposals.

interviewprep.AI is an AI-powered dashboard designed to enhance interview preparation by providing personalized coaching. The platform aims to boost job prospects by offering AI-enhanced guidance to users. By utilizing interviewprep.AI, individuals can experience improved organization, confidence in their answers, and an increased likelihood of receiving final job offers. The tool is tailored to refine interview skills and help users excel in their job search.

Bridesmaid For Hire is the world's first professional bridesmaid company established in 2014. The company offers a range of services to support individuals facing wedding challenges, such as lack of support, unforeseen difficulties, and speech writing. With the blend of AI technology and expertise from bestselling author Jen Glantz, the tool can instantly generate customized maid of honor speeches or wedding vows in minutes. Bridesmaid For Hire aims to provide a unique and personalized experience for individuals navigating the complexities of wedding planning.

Komensa is an AI-powered communication tool designed to help users navigate tough conversations easier using Nonviolent Communication. The application analyzes messages and provides constructive translations to enhance communication effectiveness. With features like translating rough communication, support for multiple languages, and a proven framework, Komensa aims to facilitate conflict resolution and build lasting relationships. Users can compose messages, utilize the 'Magic Button' for AI analysis, and send transformed messages with confidence. Komensa prioritizes security and privacy, ensuring that conversations are kept confidential. Testimonials from users highlight the app's effectiveness in improving communication in various settings, from professional relationships to personal connections.

Signify is an AI-powered Compliance Management System designed for manufacturers to automate compliance processes by analyzing documents to ensure regulatory requirements are met throughout the product life cycle. It accelerates time to market, reduces review times, and enhances confidence in supplier choices by automating compliance tasks and providing real-time conformity analysis.

Fluently is an AI-powered speaking coach designed to help users improve their English speaking skills. It provides personalized feedback after each online call, helping users master pronunciation, grammar, and vocabulary. The application supports various meeting platforms and ensures user privacy through transit encryption and local storage. With Fluently, users can boost their confidence in English communication and track their progress over time.

The AI Conference 2024 is a groundbreaking vendor-neutral event that brings together researchers, engineers, and entrepreneurs to learn, collaborate, and network with some of the brightest minds in AI. The conference explores cutting-edge technologies, practical applications, and strategic insights in the field of artificial intelligence. Attendees can expect thought-provoking sessions, captivating talks, and valuable networking opportunities, all aimed at shaping the future of AI.

The AI x Marketing Conference is a premier event focused on the intersection of artificial intelligence and marketing. It aims to provide attendees with insights, strategies, and hands-on experience to leverage AI for exponential growth in their businesses. The conference features keynote speakers, workshops, real-life case studies, lightning talks, networking opportunities, and more, all tailored to help participants understand and implement AI tools effectively in their marketing strategies.

Conftalks is a platform that summarizes conference talks on various topics such as Crypto, Blockchain, Web3, Software development, AI, and more. Users can explore the latest talks from industry experts and thought leaders. The platform aims to provide valuable insights and knowledge from conferences and events in a concise format.

Remote Face is an AI tool designed to create a virtual avatar for video conferences, ensuring complete privacy. Users can generate their avatar from a single selfie and enjoy a variety of virtual backgrounds. The tool is compatible with Windows and macOS platforms, offering features like CPU with AVX support and GPU with Metal support. Remote Face aims to enhance video conferencing experiences by providing a unique and personalized avatar for users.

Vizard.ai is an AI-powered video editing tool that helps users create social-ready video clips effortlessly. By leveraging AI technology, Vizard simplifies the process of repurposing long-form videos into short clips suitable for various social media platforms like TikTok, Instagram, and YouTube Shorts. The tool offers features such as AI clipping, automatic video editing, subtitle generation, and timeline editing, making it a valuable asset for content creators, marketers, coaches, and agencies looking to enhance their video production efficiency. With a user-friendly interface and a range of AI-driven functionalities, Vizard.ai streamlines the video editing process and empowers users to boost their online presence with engaging video content.

THE Journal is an AI-powered educational technology platform that focuses on providing the latest news, insights, and resources related to technology in education. It covers a wide range of topics such as cybersecurity, AI applications in education, STEM education, and emerging trends in educational technology. THE Journal aims to transform education through the integration of technology, offering valuable information to educators, administrators, and policymakers to enhance teaching and learning experiences.

LLM Blueprint is an official implementation of a paper that enables text-to-image generation with complex and detailed prompts. It leverages Large Language Models (LLMs) to extract critical components from text prompts, including bounding box coordinates for foreground objects, detailed textual descriptions for individual objects, and a succinct background context. The tool operates in two phases: Global Scene Generation creates an initial scene using object layouts and background context, and an Iterative Refinement Scheme refines box-level content to align with textual descriptions, ensuring consistency and improving recall compared to baseline diffusion models.

This repository contains a curated list of **papers using Large Language/Multi-Modal Models for Robotics/RL**. Template from awesome-Implicit-NeRF-Robotics Please feel free to send me pull requests or email to add papers! If you find this repository useful, please consider citing and STARing this list. Feel free to share this list with others! ## Overview * Surveys * Reasoning * Planning * Manipulation * Instructions and Navigation * Simulation Frameworks * Citation

CARLA is an open-source simulator for autonomous driving research. It provides open-source code, protocols, and digital assets (urban layouts, buildings, vehicles) for developing, training, and validating autonomous driving systems. CARLA supports flexible specification of sensor suites and environmental conditions.

This repository provides a comprehensive list of academic papers, articles, tutorials, slides, and projects related to Large Language Model (LLM) systems. It covers various aspects of LLM research, including pre-training, serving, system efficiency optimization, multi-model systems, image generation systems, LLM applications in systems, ML systems, survey papers, LLM benchmarks and leaderboards, and other relevant resources. The repository is regularly updated to include the latest developments in this rapidly evolving field, making it a valuable resource for researchers, practitioners, and anyone interested in staying abreast of the advancements in LLM technology.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

This repository provides a comprehensive survey of research papers on large language model (LLM)-based game agents. LLMs are powerful AI models that can understand and generate human language, and they have shown great promise for developing intelligent game agents. This survey covers a wide range of topics, including adventure games, crafting and exploration games, simulation games, competition games, cooperation games, communication games, and action games. For each topic, the survey provides an overview of the state-of-the-art research, as well as a discussion of the challenges and opportunities for future work.

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

The Open MatSci ML Toolkit is a flexible framework for machine learning in materials science. It provides a unified interface to a variety of materials science datasets, as well as a set of tools for data preprocessing, model training, and evaluation. The toolkit is designed to be easy to use for both beginners and experienced researchers, and it can be used to train models for a wide range of tasks, including property prediction, materials discovery, and materials design.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

ChatSim is a tool designed for editable scene simulation for autonomous driving via LLM-Agent collaboration. It provides functionalities for setting up the environment, installing necessary dependencies like McNeRF and Inpainting tools, and preparing data for simulation. Users can train models, simulate scenes, and track trajectories for smoother and more realistic results. The tool integrates with Blender software and offers options for training McNeRF models and McLight's skydome estimation network. It also includes a trajectory tracking module for improved trajectory tracking. ChatSim aims to facilitate the simulation of autonomous driving scenarios with collaborative LLM-Agents.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

The 'awesome-AI4MolConformation-MD' repository focuses on protein conformations and molecular dynamics using generative artificial intelligence and deep learning. It provides resources, reviews, datasets, packages, and tools related to AI-driven molecular dynamics simulations. The repository covers a wide range of topics such as neural networks potentials, force fields, AI engines/frameworks, trajectory analysis, visualization tools, and various AI-based models for protein conformational sampling. It serves as a comprehensive guide for researchers and practitioners interested in leveraging AI for studying molecular structures and dynamics.

언어의 경계를 허물고, 세계와 하나되는 경험을 선사합니다. 비즈니스 미팅, 국제 컨퍼런스, 여행 등 다양한 상황에서 한국어와 중국어의 완벽한 동시 통역으로 귀하의 성공적인 글로벌 커뮤니케이션을 지원합니다.

Finds and lists conferences happening around you.

Expert on AI conferences, travel tips, and networking opportunities.

Event planning guide with practical, focused advice on organizing various events.

Your ultimate hype man, here to boost your confidence!

Corporate Events Planner specializing in business event advice

A spoken English guru for professional and personal communication.

Specialized in reviewing CFPs with insights from past successful talks

Mentor for crafting top-tier ML and DL conference papers.

Your WebSummit 2023 concierge.

Your guide to IT events and conferences

Expert in BVM Workshop paper submission guidelines.

Summarizes events into key takeaways, listing speakers.

シンポジウムのタイトルを入力すると、抄録を作成してくれるGPTです。

A guide for navigating NeurIPS 2023 all 3,586 AI papers

帮助重要约会，比如第一次即将见对方父母，面试，见重要合作方等，提前准备，打造出良好印象和提前话题准备

AI会议纪要助手

A digital companion designed to enhance self-confidence through personalized guidance. | ver. 001

Casual, friendly, and professional Confluence assistant.

Role-play with a narcissist emulator: Build confidence to handle challenging personalities in professional or personal life.