Research & Education

Coachingly is a dedicated platform designed to connect individuals seeking personal and professional growth with expert coaches offering a wide array of programs. Users can explore coaching programs across various categories, including business, career, health & wellness, life coaching, and more, tailored to their specific needs. The platform also serves coaches by helping them expand their clientele and build a credible personal brand through ethical SEO and content marketing strategies. Coachingly emphasizes creating meaningful, long-term client relationships and offers support for high-ticket offer strategies and organic client acquisition, differentiating itself from platforms that rely on aggressive marketing tactics.

The Fin AI is a global academy dedicated to advancing trustworthy financial AI through community, education, research, and incubation. It aims to bring and educate the next generation of financial AI researchers and talents through courses, study groups, and hands-on learning. The initiative also drives rigorous and transparent research with open benchmarks, models, and agent systems. Furthermore, The Fin AI supports early-stage teams by transforming ideas into impactful financial AI solutions with guidance, resources, and real-world use cases. It fosters a strong community of researchers, engineers, and financial experts to bridge AI and finance.

FluentPal is a comprehensive language learning super-app designed to help users master foreign language communication through AI. It provides real-time guidance from AI teachers, allowing users to practice speaking, engage in role-playing situations, and chat with famous AI characters. The app offers rich lessons, including 90 basic communication skills for beginners, and allows users to create custom conversations. FluentPal supports up to 70 languages for translation and provides suggested responses and corrections to enhance learning. With features like adjustable AI conversation levels (Beginner, Advanced, IELTS for English) and the ability to start conversations in one's native language for translation, FluentPal caters to all proficiency levels, making language acquisition accessible and cost-effective.

PBL Future Labs helps educators, schools, and homeschool families integrate AI-driven project-based learning. Founded by Thom Markham and Phillip Alcock, it provides courses, e-books, and coaching tailored for diverse learners, including neurodivergent students. The platform focuses on creating human-centered, AI-driven project-based learning experiences that align with curiosity, creativity, and real-world purpose. PBL Future Labs collaborates with various educational institutions globally, offering keynote speaking, advisory services, and workshops to shape the future of AI-integrated education.

6G-TWIN is a pioneering research initiative dedicated to establishing the foundational AI-native reference architecture for future 6G systems. The project's core innovation lies in integrating Network Digital Twins (NDT) as a central mechanism for end-to-end, real-time optimization, management, and control of highly dynamic and complex network environments. This involves creating real-time digital replicas of physical network infrastructure, providing a sandbox for training AI models and testing various scenarios before deployment. Key outputs include a flagship publication detailing a reference functional architecture for NDTs, designed to guide AI-driven, programmable, and distributed 6G networks. The project also focuses on advancing 6G security through standardization contributions and will test its solutions via teleoperated driving and energy savings demonstrators.

AI Expert Career, known as 먹튀슈퍼맨 (Meoktwi Superman), is a specialized Korean-language online community platform dedicated to sports betting users. It offers a robust scam verification system based on real user experiences, helping individuals identify and avoid fraudulent gambling sites. The platform provides recommendations for safe and verified online gambling sites, real-time scam reporting, and in-depth sports match analysis. Users can also engage in a free community forum to share information and read reviews of various betting sites. Its comprehensive approach to ensuring user safety and providing reliable information makes it a crucial resource for the Korean sports betting community.

AI For Collective Intelligence (AI4CI) is a UKRI National AI Research Hub, bringing together universities from all four constituent nations of the UK and over forty stakeholder partners from academia, government, charities, and industry. This applied, interdisciplinary effort aims to develop novel AI solutions for collective intelligence on a national scale. The Hub specifically targets key societal challenges in areas such as Environmental Intelligence, Financial Stability, Healthcare Ecosystems, Human-Centered Design, Infrastructure and Governance, Pandemic Resilience, and Smart City Design. AI4CI is dedicated to building research capacity, capability, and community in AI for collective intelligence across the UK, offering opportunities for funding and team collaboration.

Advisor AI is a comprehensive platform designed to empower educational institutions in transforming student experience and elevating team success. It unifies enrollment, academic advising, and career services into a single, continuous, and evidence-based approach. The platform helps students connect interests to majors, plan academic pathways, and prepare for career success using adaptive assessments, integrated labor market data, and personalized milestones. For institutions, Advisor AI offers tools for cohort management, unified data tracking, and student engagement insights, freeing up advisor time and driving measurable impact on persistence, completion, and employability outcomes. It emphasizes responsible AI with human-in-the-loop design, comprehensive guardrails, and transparency.

Cambridge Digital Humanities (CDH) is an interdisciplinary research center at the University of Cambridge, focusing on the profound cultural, social, and epistemic impacts of digital technologies. CDH supports a wide array of research projects in collaboration with various faculties and international partners, fostering innovation at the intersection of humanities and digital advancements. It also provides educational opportunities, including a dedicated MPhil in Digital Humanities, designed to equip students with critical understanding and practical skills in this evolving field. The center serves as a hub for scholars, students, and practitioners interested in the theoretical and applied aspects of digital humanities.

The Computer Vision Lab at ETH Zürich is a leading research and education institution dedicated to advancing the field of computer vision. The lab focuses on the computer-based interpretation of both 2D and 3D image data, addressing complex challenges in various domains. Key research areas include medical image analysis, object recognition, gesture analysis, and comprehensive scene understanding. The lab's mission involves developing universal concepts and methods that can be applied across diverse applications. It actively collaborates with other academic labs and industry partners to translate its cutting-edge research into practical solutions and innovations.

Exposys Data Labs is an AI research and development company dedicated to solving significant global challenges through technology. Their projects span various domains, including energy, where they aim to create sustainable solutions like BRICK energy from solar and wind. In defense, they've developed surveillance drones with shooting capabilities. For domestic use, they envision humanoid robots to assist with household tasks. They also focus on blockchain for secure record-keeping, medical chips for health monitoring, and E-Security with behavior-pattern-based authentication. The company emphasizes AI and ML projects, including advanced analytics, predictive analysis, spam filters, product recommenders, and fraud detectors.

ELSA – European Lighthouse on Secure and Safe AI is a growing network of excellence dedicated to spearheading research in foundational safe and secure AI methodologies. Building on the ELLIS network, ELSA unites European experts in technical robustness, privacy-preserving techniques, and human agency and oversight. The initiative also collaborates with research and industry experts across six key application sectors for safe and secure AI. ELSA provides a Benchmarks Platform for use cases, data, metrics, and competitions, fostering collaboration and scientific advancement in the field. It also offers educational resources, mobility programs, and hosts various events and workshops.

Hive Analytics is a comprehensive performance marketing agency dedicated to helping e-commerce brands achieve sustainable growth. They provide a full suite of services, including media buying and performance marketing, website development and conversion rate optimization (CRO), and AI content creation. The agency also specializes in email marketing, content production, and mobile reels production, ensuring a holistic approach to digital marketing. Their process involves auditing and assessing current strategies, building and executing tailored campaigns, and continuous optimization and scaling, all driven by data-backed insights to maximize profitability and return on ad spend.

pytorch-memonger is an open-source Python library designed for sublinear memory optimization in deep learning models built with PyTorch. It re-implements the technique described in "Training Deep Nets with Sublinear Memory Cost," significantly reducing the memory required for backward passes from O(N) to O(sqrt(N)). This optimization is particularly beneficial for training large sequential models or using larger batch sizes that would otherwise exceed available GPU memory. By replacing `nn.Sequential` with `memonger.SublinearSequential`, developers can easily integrate this memory-saving technique. The tool also addresses challenges with non-deterministic layers like BatchNorm and Dropout by re-scaling momentum and memorizing random number generator states, respectively, ensuring reliable performance.

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.

Knowtify is an innovative educational and social application designed to connect users with historical figures through interactive AI chat. This tool allows individuals to engage in conversations with AI representations of various historical personalities, offering a unique way to explore history and learn about different eras and perspectives. It promotes social learning by making historical interaction accessible and engaging, moving beyond traditional textbooks. Knowtify aims to facilitate a deeper understanding of historical contexts and figures through direct, conversational engagement, making the learning process more dynamic and personalized.

sunnypilot is an open-source driver assistance system, forked from comma.ai's openpilot, designed to provide a unique driving experience across more than 350 supported car makes and models. It achieves this by modifying behaviors of driving assist engagements, all while adhering as closely as possible to comma.ai's safety policies. The system logs various data, including road-facing camera, CAN, GPS, IMU, and thermal sensors, with optional opt-in for driver-facing camera and microphone. Users can join the community forum for support and installation instructions, and documentation is available for features and FAQs. sunnypilot is released under the MIT License, with portions derived from openpilot.

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.

UniFace is a lightweight, production-ready, and open-source face analysis library built on ONNX Runtime, offering a comprehensive suite of features for processing facial data. It includes advanced capabilities such as RetinaFace, SCRFD, YOLOv5-Face, and YOLOv8-Face for face detection with 5-point landmarks, and various models like AdaFace, ArcFace, and MobileFace for face recognition embeddings. The library also provides multi-object face tracking with BYTETracker, 106-point facial landmark localization, and semantic face parsing with BiSeNet. Additional features include trimap-free portrait matting, real-time gaze and head pose estimation, and attribute analysis for age, gender, race, and emotion. For privacy, it offers anti-spoofing and face anonymization with multiple blur methods. UniFace supports hardware acceleration on ARM64 (Apple Silicon), CUDA (NVIDIA), and CPU, making it versatile for different deployment environments.

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.

Vehicle-detection is an open-source project focused on implementing vehicle detection using machine learning and computer vision. It leverages several key techniques, including Linear Support Vector Machines (SVM) for classification, Histogram of Oriented Gradients (HOG) for feature extraction, color space conversion for image processing, and a sliding window approach to scan images for vehicles. This project was originally developed as part of Udacity's Self-Driving Car Engineer Nanodegree, indicating its practical application in autonomous vehicle technology research and development. It serves as a valuable resource for students and developers interested in computer vision and self-driving car applications.

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.