Research & Education

safe-rlhf is an open-source framework designed for research into Constrained Value Alignment using Safe Reinforcement Learning from Human Feedback (RLHF). It offers a comprehensive and reproducible code pipeline, making it an invaluable resource for alignment research. The framework supports various training methods, including Supervised Fine-Tuning (SFT), standard Reinforcement Learning from Human Feedback (RLHF), and Safe RLHF. This allows researchers to explore different approaches to aligning AI models with human values while ensuring safety constraints are met. Its modular design facilitates experimentation and integration into existing research workflows, providing a robust platform for developing and evaluating safe AI systems.

Inclusive AI Lab is dedicated to fostering collaboration between technology industry experts, AI ethicists, civic actors, and digital anthropologists. Its core mission is to incubate leaders and help build inclusive and sustainable AI data, tools, services, and platforms, with a special emphasis on the Global South. The lab focuses on uniting diverse changemakers to co-create inclusive AI systems with the Majority World, emphasizing that capturing diversity is feasible, scalable, realistic, and a must. The initiative bridges academia and civil society with the technology industry, aligning AI tools with contemporary social and planetary values through various programs, workshops, summits, and research.

FirstIgnite builds AI software specifically designed to enhance partnership opportunities for universities, hospitals, non-profits, and foundations. The platform offers AI-driven solutions to streamline business development, helping institutions identify and connect with new companies and individuals for various collaborations, including research funding, philanthropy, and technology licensing. Key features include Company Matching to find interested businesses, Market Search for AI-driven market analysis, People Search to discover key decision-makers, and Email Outreach for automated, personalized engagement. FirstIgnite also provides a Grant Finder to fuel research with better funding and Mission Control for a comprehensive view of research landscapes, integrating grant data, faculty insights, and industry collaboration tools.

U-2-Net is an open-source project that provides an implementation of the U^2-Net architecture, specifically designed for salient object detection. This deep learning model employs a nested U-structure, which allows for more profound analysis of image features and significantly enhances its ability to accurately identify and segment salient objects. The architecture is known for achieving improved performance in various computer vision tasks related to object detection and segmentation. It is a valuable resource for researchers and engineers working in computer vision, offering a robust framework for developing and experimenting with advanced image processing techniques.

torch-points3d is a comprehensive PyTorch framework designed for deep learning on point clouds, offering a robust environment for researchers and developers. It facilitates the implementation and experimentation of deep learning models for various 3D data analysis tasks. The framework is built upon PyTorch Geometric and Facebook Hydra, ensuring reproducibility and ease of model construction. It supports a high-level API to democratize deep learning on point clouds and includes implementations of state-of-the-art models like PointNet, PointNet++, RandLA-Net, and KPConv. Users can leverage it for tasks such as classification, segmentation, object detection, panoptic segmentation, and registration, with support for datasets like ScanNet, S3DIS, and ModelNet.

TerrOïko is an innovative company specializing in ecological engineering and data science, founded in 2012 by two doctors in ecology. They develop new digital technologies applied to biodiversity, leveraging the latest scientific advancements in ecology, data processing, and computer science. TerrOïko provides data-driven solutions for the study and management of biodiversity to clients involved in territorial planning, local authorities, natural space managers, and consulting firms. Their services are applicable across various sectors, including infrastructure, industrial and urban projects, construction, territorial planning, renewable energies, nature conservation programs, public policy evaluation, and international scientific cooperation.

VLMaps (Visual Language Maps) is an open-source implementation designed for robot navigation. It creates spatial map representations by fusing pretrained visual-language model features into a 3D reconstruction of the physical world. This innovative approach enables natural language indexing within the map, allowing robots to localize landmarks and spatial references without requiring additional data collection or model finetuning. The tool supports both object goal navigation and spatial goal navigation tasks, with configurable parameters for map creation, indexing, and evaluation. Users can generate datasets from simulated environments like Habitat simulator with Matterport3D or integrate their own customized datasets, making it a flexible solution for robotics research and development.

Obvia is an international observatory dedicated to understanding the societal impacts of AI and digital technologies. Funded by the Fonds de Recherche du Québec, it operates as an interuniversity network with over 290 member researchers and numerous partners globally. Obvia conducts independent and interdisciplinary research, placing human well-being at the core of technological development. It fosters an open space for reflection and democratic deliberation through an intersectoral approach. Key objectives include supporting academic research, promoting responsible technological innovation, facilitating intersectoral and international collaborations, and enhancing public understanding of AI-related issues. The observatory also publishes reports, hosts events, and offers opportunities for students and researchers.

AI and Faith is a pluralist organization dedicated to bringing the wisdom of the world's religions to the forefront of AI ethics conversations. It addresses critical issues such as control, power, privacy, bias, discrimination, economic well-being, and the very definition of humanity in the context of AI. The organization's mission is to equip and encourage people of faith to contribute time-tested, faith-based values to the ethical AI dialogue. It fosters discussions among tech creators, academic researchers, ethicists, and theologians, focusing on human dignity, societal justice, and liberty. AI and Faith offers a rich array of content including podcasts, articles, news, newsletters, research, and events, categorized by various faith traditions.

AIxDESIGN is a non-profit community dedicated to making AI work for everyone. It serves as a hub for designers, artists, technologists, and researchers to collaborate, challenge prevailing AI narratives, and research alternative approaches. The platform actively works to make these alternatives a reality through community-led projects and discussions. AIxDESIGN hosts events, facilitates research, and provides resources to democratize AI literacy and encourage critical discourse, aiming to move beyond the norms set by big tech.

Fondazione Olitec Comitato Costituente is dedicated to advancing scientific research and education across various technical domains, including IT, system engineering, electronics, and quantum physics. The foundation's mission is to educate individuals in these critical disciplines and foster innovation for the betterment of society. It offers a wide range of programs, from academic accreditations and training centers to research initiatives and social activities. The foundation also engages in international visibility efforts, participating in forums and events to promote its vision and research findings.

Lakmoos AI leverages neuro-symbolic AI to simulate how clients think, feel, and behave, offering instant market research insights. The platform allows users to run full-scale research overnight, with AI panels scoring over 98% accuracy in benchmarking studies. It's designed to be 10x cheaper than traditional methods, with clients typically spending $200-500 per survey. Key features include proprietary AI purpose-built for market research, on-demand niche groups from Gen Z to B2B buyers, and enterprise-grade security. Users can integrate their private data, build custom reasoning models, and ask unlimited questions to get real-time answers. Lakmoos AI also enables users to query past surveys conversationally, augment research with follow-up questions, and test ideas without traditional fieldwork.

Oncora Medical offers a Cancer Registry Assistant designed to help healthcare professionals streamline quality control processes for accurate data collection and reporting in cancer registries. This intelligent assistant aims to improve the efficiency and reliability of cancer data management. By focusing on quality control, Oncora Medical assists in ensuring that the data collected is precise and suitable for reporting, which is crucial for research, treatment planning, and public health initiatives. The tool is built to support healthcare professionals in managing the complexities of cancer registry data, ultimately contributing to better patient outcomes and more effective cancer care strategies.

Strobilo is a pioneering neurotech company dedicated to improving how people interact and engage with their surroundings by combining applied neuroscience with AI and data analysis. The company assesses the environmental impact of both indoor and outdoor spaces on the human brain, offering impactful solutions for a greener future. Strobilo provides strategic solutions including signature visualization tools, cloud-based environmental intelligence, and consulting services. Their powerful, patent-pending algorithms measure how the environment affects well-being and performance. Additionally, Strobilo maintains a neuro blog with insights on neuroscience and the environment, and offers services like the Strobilo Impact Dashboard & Monitoring Devices, Strobilo Cloud for environmental intelligence, and Neuroscience & Development consulting.

NTT RESEARCH is dedicated to fundamental research across various scientific domains, including physics, cryptography, and medical informatics. The organization's core mission is to upgrade reality by conducting basic research and developing advanced technologies that seamlessly integrate into daily life, fostering positive change for humanity. Key research areas include the Physics Informatics Lab, Cryptography and Information Security (CIS) Lab, and Medical and Health Informatics (MEI) Lab, with a focus on initiatives like the Bio Digital Twin. NTT RESEARCH aims to drive innovation that improves health outcomes through precision medicine and advances in secure data solutions.

INRIA ACENTAURI is a research initiative by Inria dedicated to advancing the field of intelligent, autonomous, and mobile robotics. The team investigates complex problems related to perception, decision-making, and control within multi-robot collaborative environments. Their approach integrates both model-driven and data-driven methodologies for AI development, focusing on creating efficient algorithms. The research has practical applications in diverse areas such as environmental monitoring and transportation, utilizing various robotic platforms including cars, AGVs (Automated Guided Vehicles), and UAVs (Unmanned Aerial Vehicles). This work contributes to the broader understanding and implementation of AI in real-world robotic systems.

WiFi-3D-Fusion is an open-source research project designed to estimate 3D human pose by leveraging WiFi CSI (Channel State Information) signals and deep learning. It integrates wireless sensing with computer vision techniques to provide advanced spatial awareness. The system supports real-time motion detection and visualization, offering capabilities like multi-person 3D pose estimation, neural RF radiance fields, and 3D Wi-Fi scanning. It features robust CSI ingestion from local Wi-Fi sources, a real-time movement detector, and a 3D viewer. The project also includes a continuous learning system that automatically improves detection models and adapts to environmental characteristics, making it a powerful tool for researchers in wireless sensing and computer vision.

Acceptix is a comprehensive platform designed to facilitate international academic journeys for students. Founded in 2012 as Student Center, it now partners with over 1000 universities across the UK, Ireland, the United States, Canada, Australia, Europe, and the UAE. The platform leverages a powerful AI-driven system to match students with courses perfectly tailored to their academic profiles and aspirations. Beyond university placements, Acceptix also helps students find English courses and offers support from applications to accommodations. With over 10 years of experience, Acceptix has counseled and guided more than 10,000 students, offering access to over 45,000 courses spanning various majors and fields of study.

The UCF Center for Research in Computer Vision (CRCV) is dedicated to pushing the boundaries of computer vision technology through both fundamental and applied research. The center focuses on developing future computer vision technologies and fostering a skilled workforce for Florida's economic development. CRCV offers comprehensive education and research experiences in computer vision, catering to a wide range of students from K-12 to doctoral levels. This initiative aims to cultivate talent and drive innovation in the field, ensuring that students are well-prepared to contribute to the evolving landscape of computer vision. The center's work spans various applications, contributing to advancements that have real-world impact.

Proteinviz is an AI-powered tool available on Hugging Face designed for the interactive visualization of protein structures. It aims to assist researchers and students in the field of structural biology by providing a platform to analyze and understand complex protein configurations. While the current live website indicates a runtime error, suggesting it may not be fully operational at this moment, the underlying intention of the tool is to facilitate detailed examination of protein models. This makes it potentially valuable for both educational purposes and advanced research, offering a visual aid for studying molecular biology.

R3PL1C4 serves as a dedicated resource hub for professionals and students in the AI and robotics fields. It offers a curated collection of over 190 hand-picked resources, including libraries, models, hardware guides, tutorials, and various tools, all accessible for free. The platform organizes these resources into categories such as Libraries, Models, Robotics, AI Hardware, Serverless AI, Datasets, and Tools, making it easy for users to browse and discover relevant information. Featured resources include Google's Agent Development Kit, Amazon Echo, Amazon SageMaker, and AMD Instinct Accelerators, providing practical examples of the types of content available. R3PL1C4 aims to be a central point for learning and staying updated on advancements in AI and robotics.

VISWAM.AI is an initiative by Swecha and IIIT Hyderabad dedicated to advancing AI for the Global South. The project aims to create inclusive and accessible AI technologies, prioritizing solutions for resource-poor languages and communities. It focuses on research-led education and innovation, shaping competent, caring, and creative students. The initiative supports various research projects, publications, and seminars, contributing to advancements in areas like smart wearables for industrial safety and AI applications in urban planning. VISWAM.AI also fosters collaborations with government agencies and industries to boost innovation and digital capacity.

Stavanger AI Laboratory (SAIL) serves as an interdisciplinary platform at the University of Stavanger (UiS), fostering collaboration in AI across academic, industrial, and public sectors. Its core mission revolves around advancing AI through dedicated research, comprehensive educational programs, and effective dissemination of knowledge. SAIL is instrumental in preparing the next generation of AI professionals and guiding various industries in the strategic development and implementation of AI technologies. By bridging the gap between theoretical research and practical application, SAIL aims to drive innovation and ensure a skilled workforce capable of navigating the evolving AI landscape.

Legal Atlas is a comprehensive legal intelligence platform designed to enhance access to and understanding of global legal frameworks. Utilizing AI, interactive maps, and visual analytics, the tool enables users to research and compare legislation across various jurisdictions. It supports detailed analysis of legal frameworks, treaties, and best practices, making it invaluable for multi-jurisdictional legal research and compliance. The platform offers features for signing up, logging in, and navigating through databases by topic, sub-topic, and country. It also provides tools for adding reference text and generating tables of contents for legal documents, streamlining the research process for legal professionals.