Research & Education

The ASU+GSV Summit is a premier global convening for innovative leaders transforming the $8 trillion education and skills sector. Held annually, the summit brings together over 7,000 delegates, 1,000 EdTech companies, and 800+ speakers from 65 countries. Its mission is to ensure all people have equal access to the future by fostering scaled innovations across PreK to Gray learning. Attendees include investors, entrepreneurs, educators, and innovators, spanning K12 superintendents, higher education leaders, enterprise learning leaders, and philanthropic leaders. The event features keynotes, interactive workshops, and networking opportunities, with sessions often recorded for on-demand listening.

RLzoo is a comprehensive open-source reinforcement learning zoo designed for simple usage, implemented with TensorFlow 2.0 and leveraging the neural network layer APIs of TensorLayer2.0+. It offers a hands-on approach for reinforcement learning practices and benchmarks, supporting basic toy-tests like OpenAI Gym and DeepMind Control Suite with minimal configuration. Additionally, RLzoo supports robot learning environments such as RLBench. The platform provides both implicit and explicit configuration interfaces for running learning algorithms, making it flexible and convenient for users. It also supports distributed training across multiple computational nodes using the Kungfu package, catering to more realistic and large-scale scenarios.

relational-networks is an open-source Pytorch implementation of the "A simple neural network module for relational reasoning" paper, also known as Relational Networks. This tool is designed for researchers and developers working on visual reasoning and relational AI tasks. It has been thoroughly tested on the Sort-of-CLEVR task, a simplified version of CLEVR, which involves processing images with various colored shapes and answering both relational and non-relational questions. The implementation demonstrates superior performance compared to traditional CNN + MLP models, particularly in relational reasoning tasks, and includes modifications for improved computational efficiency.

rl-agents is an open-source project providing a comprehensive collection of Reinforcement Learning agent implementations. This tool is designed for researchers and developers working in the field of AI, offering a variety of planning and learning algorithms. It serves as a valuable resource for experimentation and building new RL applications. The project's open-source nature fosters community contributions and allows for flexible integration into diverse research and development environments, making it suitable for both academic and practical applications in reinforcement learning.

slime is an advanced post-training framework designed for Reinforcement Learning (RL) scaling, specifically tailored for large language models. It achieves high-performance training by seamlessly integrating Megatron with SGLang, enabling efficient and scalable operations. The framework supports flexible data generation through custom data workflows, allowing users to adapt to various training requirements. slime facilitates efficient training across different modes, making it a versatile solution for developers and researchers working with large language models and RL applications. Its focus on performance and flexibility makes it suitable for complex AI development tasks.

cornell-cs5785-2025-applied-ml is a GitHub repository containing comprehensive lecture materials for Cornell's CS5785 Applied Machine Learning course, specifically for the Fall 2025 edition. This resource includes executable course notes and slides, making it a valuable asset for both students enrolled in the course and educators looking for high-quality machine learning content. The repository is organized with dedicated folders for slides and lecture notes, along with a `requirements.txt` file to ensure users can easily set up their virtual environments and run the provided content. It serves as a practical, hands-on learning resource for applied machine learning concepts.

Agoge is a smart L&D system designed to help Small and Medium-sized Enterprises (SMEs) transform competence gaps into measurable business impact. The platform connects Key Performance Indicators (KPIs) with targeted training, reflection, and continuous improvement initiatives. It aims to close skill gaps, drive effective training, and deliver measurable results, ultimately enhancing learning effectiveness and competence development within organizations. Agoge offers a comprehensive solution for competence management, allowing businesses to analyze gaps, implement relevant training, and track the return on investment (ROI) of their learning and development efforts.

This GitHub repository, cornell-cs5785-2020-applied-ml, serves as a comprehensive resource for the Applied Machine Learning course at Cornell Tech. It provides teaching materials, including executable course notes and slides, designed for the online edition of the Fall 2020 course. These materials are intended to complement a series of YouTube lecture videos, offering students and educators a complete learning package. The repository is organized with notebooks for interactive learning and a requirements.txt file to facilitate easy setup of the necessary virtual environment, ensuring all content can be run smoothly.

SkyFi is an Earth intelligence platform offering instant access to satellite imagery and geospatial analytics. Users can order and task satellite imagery and SAR from top providers, access a vast archive of data, and download geospatial data and analytics through a unified platform. Key features include advanced analytics like object detection and hyperspectral signature analysis, commercial imagery tasking, and access to open data. SkyFi also provides specialized access to constellations like Vantor and Planet SkySat, as well as Maritime AIS data and ICEYE US Direct SAR intelligence, catering to diverse needs from agriculture to military and defense.

Hikewise is India's most advanced career development platform, offering comprehensive career assessment, counseling, and guidance programs. It caters to a wide range of individuals including school students, college students, graduates, and working professionals. The platform helps users discover their perfect career path, stream, college, and course through expert guidance. Hikewise aims to provide personalized support for career planning and development, ensuring individuals make informed decisions about their future. The service is designed to be a leading resource for career counselors in India, providing valuable insights and support for various stages of career progression.

TencentPretrain is a powerful PyTorch-based framework designed for pre-training and fine-tuning AI models, supporting various data modalities including text and vision. Its modular architecture facilitates the use of existing pre-training models and provides clear interfaces for users to further develop and customize their own models. This makes it an ideal solution for researchers and developers looking to experiment with or deploy advanced AI models. The framework emphasizes flexibility and extensibility, allowing for adaptation to diverse research and application needs in the AI domain.

UniDetector is an open-source computer vision tool designed for universal object detection, providing the code release for the CVPR 2023 paper "Detecting Everything in the Open World: Towards Universal Object Detection." Built upon mmdetection v2.18.0 and requiring CLIP, this tool facilitates both single-dataset and multi-dataset training, as well as open-world inference. It supports end-to-end and decoupled training/inference workflows, including probability calibration. UniDetector is ideal for researchers and developers working on advanced object detection tasks, offering robust capabilities for preparing datasets, language CLIP embeddings, and pre-trained RegionCLIP parameters.

OmniSets is an AI-powered flashcard and study platform designed to optimize learning efficiency. It allows users to generate flashcards using AI, making it a strong alternative to traditional flashcard tools. The platform incorporates AI-based learning, spaced repetition, and practice tests to provide a comprehensive study experience. Users can also convert custom videos and audio into flashcards. OmniSets aims to support students globally by offering a free-to-use platform with minimal ads, and additional perks for patrons, including an ad-free experience, increased AI usage resets, and larger image upload sizes.

The Center for Responsible AI is an organization dedicated to fostering the development of ethical and impactful AI products. It brings together a consortium of startups, research centers, unicorns, law firms, and industry leaders to create a virtuous circle of innovation. The center's core mission revolves around three pillars: fair and transparent AI that contributes to a more equal society, sustainable AI that uses energy efficiently, and trustworthy AI that is explainable and complements human capabilities. It aims to develop next-generation AI products based on these principles, with a significant focus on the Portuguese ecosystem. The Center for Responsible AI emphasizes practical solutions and collaboration across various sectors to advance responsible AI.

VideoLLaMA3 is an open-source project offering a series of multimodal foundation models designed for advanced image and video understanding. It provides models like VideoLLaMA3-7B and VideoLLaMA3-2B, which are capable of tasks ranging from general image and video comprehension to more specialized applications such as multi-image comparison, visual referring, and grounding. The project includes detailed instructions for inference, training, and evaluation, making it suitable for researchers and developers. It supports various benchmarks for performance assessment and offers a flexible framework for preparing custom training data. The models are available on Hugging Face, facilitating easy access and integration into AI development workflows.

Quazel is an AI-powered language tutor app designed to help users achieve conversational fluency in a foreign language. It allows individuals to engage in open conversations on any topic, creating unique and personalized learning experiences. The app utilizes advanced language models to generate helpful, creative, and clever responses, moving conversations forward just like a real tutor. Users can prepare for scenarios by studying vocabulary or jump directly into conversations, completing various tasks. Quazel supports a wide range of languages and caters to all proficiency levels, from beginners to fluent speakers, offering instant feedback and a flexible learning environment.

YAKE! (Yet Another Keyword Extractor) is a lightweight, unsupervised automatic keyword extraction method designed to identify the most important keywords from a single document. It leverages text statistical features and requires no prior training, external corpus, or dictionaries, making it highly adaptable across various languages and domains, regardless of text size. Key features include its unsupervised approach, language and domain independence, and a focus on single-document processing. YAKE also offers keyword lemmatization to aggregate morphological variations and a text highlighting feature to mark extracted keywords within the original text. It can be used via command line or Python, offering flexibility for developers and researchers.

SID.ai is an AI research lab dedicated to advancing retrieval models. The company specializes in training models that offer superior accuracy, reduced cost, and increased speed compared to traditional methods. By focusing on these key areas, SID.ai aims to significantly improve the performance and efficiency of AI systems that rely on data retrieval. Their work is geared towards making advanced AI capabilities more accessible and practical for various applications, pushing the boundaries of what's possible in AI research and development.

Proseable is an innovative language learning platform designed to help users achieve real-world conversational fluency. It offers genuinely interesting conversations in a wide array of languages, including English, French, Spanish, Italian, German, Russian, Mandarin Chinese, Japanese, Korean, Arabic, and Hindi. Users can curate a personalized curriculum based on their interests, accelerating their learning journey. The platform includes progress tracking to help users stay motivated and monitor their growth. Additionally, Proseable provides hands-free learning activities like dictation and translation for targeted improvement, allowing users to test their fluency and comprehension. With a focus on practical application, Proseable aims to build confidence for real-world interactions.

SRSWTI is a Knowledge and Inference Platform designed to facilitate the understanding and application of knowledge. While specific features are not detailed on the publicly available pages, the platform's core offering revolves around providing tools and resources for knowledge management and inference. It aims to support users in various contexts, likely including educational and research environments, by enabling them to process, organize, and derive insights from information. The platform's focus on "Knowledge and Inference" suggests capabilities related to data analysis, pattern recognition, and potentially predictive modeling, catering to those who need to manage and leverage complex information effectively.

YT Launchpad is an upcoming platform focused on assisting content creators with their YouTube strategy. While specific features are not yet detailed, the tool aims to provide guidance and support for launching and growing a YouTube presence. The website indicates a launch is imminent, inviting users to sign up for email updates to receive information on promotions and new developments. It is positioned to help users optimize their content creation and distribution on YouTube, suggesting a focus on strategic planning and audience engagement.

AI Business School offers an AI-adoption platform focused on delivering personalized, job-specific AI training modules. The platform is designed to assist companies in evaluating various AI use cases across their enterprise, enabling them to select and implement the most appropriate AI solutions. Its primary goal is to enhance productivity and foster innovation by seamlessly integrating AI into daily job routines. Furthermore, AI Business School provides mechanisms to measure the return on AI investment, ensuring that businesses can track the tangible benefits of their AI initiatives. This comprehensive approach supports organizations in upskilling their workforce and strategically adopting AI technologies.

QOwnNotes is a versatile open-source notepad and todo-list manager designed for GNU/Linux, macOS, and Windows. It offers robust Markdown support and integrates seamlessly with Nextcloud Notes and ownCloud Notes, allowing users to write, edit, and search notes across devices. Notes are stored as plain text Markdown files, ensuring maximum freedom and compatibility with other sync tools like Syncthing or Dropbox. Key features include multiple note folders, restoration of older note versions from Nextcloud/ownCloud, sub-string searching, customizable keyboard shortcuts, and external file change monitoring. The tool also boasts Markdown highlighting, inline image previews, wiki-style note links, spellchecking, and built-in AI support with script integration for providers like OpenAI and Groq. It also includes an MCP server for external AI agents to securely fetch notes.

AI SuperConnector is an intensive 6-month startup accelerator program designed for early career researchers at Imperial College London, University of Liverpool, University of Leeds, and University of York. It supports participants in transforming their AI research into viable commercial ventures. The program combines entrepreneurship fundamentals with AI capabilities, offering masterclasses, 1:1 venture building support, and £20k in non-dilutive seed funding. Participants gain access to extensive expert networks, showcasing opportunities, and resources from a partnership with Google for Startups Cloud Program, aiming to foster robust, ethical, and impactful AI innovations.