Research & Education

Focal was an AI research assistant that aimed to help users make the most of AI in their research workflows. The platform is currently in the process of closing down, with existing customers retaining access to their accounts until the end of their current billing period. Users can sign into their accounts to manage their subscriptions. For any queries or to request an extract of their data, customers are advised to contact the founder directly via email. The team behind Focal is now developing a new product: an AI clinical decision support and research tool, for which a waitlist is available for interested clinicians, specialists, researchers, and medical professionals.

The-NLP-Pandect is a comprehensive reference for Natural Language Processing (NLP) topics, designed to serve as an encyclopedia for users seeking online resources. It aggregates links to various open-source projects, insightful blog posts, and curated collections of NLP-related materials. This tool aims to simplify the discovery of relevant information and tools within the NLP domain, making it easier for researchers, students, and developers to find what they need. By centralizing these resources, The-NLP-Pandect helps users navigate the vast landscape of NLP, fostering learning and development in the field.

TensorLayerX is a versatile multi-backend AI framework designed for deep learning and reinforcement learning. It supports popular frameworks like TensorFlow, PyTorch, MindSpore, PaddlePaddle, OneFlow, and Jittor, enabling users to run their models on diverse hardware such as Nvidia-GPU, Huawei-Ascend, and Cambricon. Key features include compatibility across various AI chips and platforms, a Model Zoo offering classic and state-of-the-art models for CV, NLP, and RL, and deployment support via ONNX protocol for model export, import, and deployment. Developed by researchers from leading universities, TensorLayerX simplifies the process of defining models and switching between backends with minimal code changes.

TextBox 2.0 is an open-source text generation library built with Python and PyTorch, designed to provide a unified and standardized pipeline for applying pre-trained language models (PLMs) to various text generation tasks. It supports 13 common text generation tasks, including translation, story generation, and style transfer, across 83 widely-used datasets. The library integrates 47 pre-trained language models/modules, covering categories such as general, translation, Chinese, dialogue, controllable, distilled, prompting, and lightweight models. TextBox 2.0 also offers four pre-training objectives and four efficient training strategies, including distributed data parallel and hyper-parameter optimization, making it a comprehensive tool for researchers and developers in natural language processing.

The International Joint Conferences on Artificial Intelligence (IJCAI) is a non-profit organization established in 1969 to advance AI research and education. It organizes premier international gatherings for AI researchers and practitioners, presenting cutting-edge scientific results. These conferences, held annually since 2016, are complemented by the dissemination of proceedings, books, video recordings, and other educational materials. IJCAI also oversees the Artificial Intelligence Journal, providing free access to its content. The organization is governed by a Board of Trustees and supported by various sponsors, playing a crucial role in the global AI academic community.

THUMT is an open-source toolkit for neural machine translation developed by the Natural Language Processing Group at Tsinghua University. It provides implementations in PyTorch and TensorFlow, supporting models like Transformer, sequence-to-sequence, and standard attention-based models. Key features include multi-GPU training and decoding, multi-worker distributed training, mixed precision training, model ensemble, gradient aggregation, and TensorBoard for visualization. The toolkit is designed for researchers and developers working on machine translation, offering a robust platform for experimenting with and building advanced MT systems.

Stable LM 2 Zephyr 1.6b is an AI chatbot tool hosted on Hugging Face, developed by Stability AI. It provides a platform for users to chat with the Stable LM 2 Zephyr 1.6b language model, observing its responses in real-time. This tool is designed for interactive exploration of the model's capabilities, making it suitable for various applications including research, educational purposes, and the development of conversational AI systems. While the current live website indicates a runtime error, the intended functionality is to offer a direct interface for engaging with the language model.

Visualkeras is a Python package designed to help visualize Keras and TensorFlow neural network architectures. It offers several rendering styles, such as classic layered CNN diagrams, general node-based visualizations, and LeNet-style feature map stack diagrams. The tool is highly customizable, allowing users to tailor visualizations to their specific needs. It supports both standalone Keras and TensorFlow-included Keras workflows, making it a versatile option for data scientists and machine learning engineers. Visualkeras simplifies the process of understanding complex model structures through clear and intuitive graphical representations.

The National Center of Artificial Intelligence (NCAI) in Pakistan is a pioneering hub for AI innovation, research, and training, headquartered at NUST in Islamabad. It operates research laboratories across six major universities in Pakistan and has developed 221 AI products and designs for sectors like smart cities, precision agriculture, healthcare, and the judiciary. NCAI offers training for AI professionals, aims to expand digital exports, and raises AI awareness. Through strategic collaborations, NCAI revolutionizes agriculture, optimizes industries, and develops AI models for climate and disaster management. It nurtures an innovation ecosystem with products and professional trainings, serving various sectors nationally and internationally, aligning with UN Sustainable Development Goals to establish Pakistan as a global AI leader.

NotedSource is an AI-enhanced R&D platform designed to streamline the research and development process for companies. It leverages AI to connect organizations with the appropriate academic and industry expertise, supporting projects from initial concept to final results. The platform features Research Compass AI for faster literature review, distilling insights from over 220 million publications and generating focused research questions. It also provides an AI-powered research collaboration platform for efficient project execution, handling expert matching, centralized project management, and built-in legal and compliance support for contracts and payments. Additionally, NotedSource offers Scholar Data Services for AI annotation and model evaluation, ensuring high-quality data for AI development.

The Symbiosis Centre for Applied AI (SCAAI), established in May 2019 and affiliated with Symbiosis Centre for Research and Innovation (SCRI), is dedicated to advancing and promoting research and education in Artificial Intelligence. SCAAI engages in interdisciplinary research, addressing a wide spectrum of issues from finance and banking to healthcare. The center offers various programs including industrial live projects in collaboration with eminent industries, research projects supported by multiple grants, and technology solutions providing feasible AI/ML solutions. Additionally, SCAAI fosters research collaboration with foreign universities and conducts workshops for students and corporates to enhance AI/ML domain skills. Its focus domains include AI Research, AI Applications, and AI Education.

xai_resources is an Open Source collection of resources focused on Explainable Artificial Intelligence (XAI). This GitHub repository serves as a central hub for researchers and practitioners to discover relevant materials, including scientific papers, preprints, books, software tools, and short articles. It is meticulously organized, offering a comprehensive overview of the XAI landscape. The collection features recent research from 2021 and 2020, covering topics such as evaluating XAI algorithms on medical imaging, benchmarking machine learning methods, and explaining black-box classifiers. It also includes philosophical frameworks for XAI and discussions on formalizing trust in AI, making it a valuable resource for deepening understanding and guiding research in the field.

The SEMLA Research Center is a hub for research and development in software engineering for machine learning applications. It brings together leading researchers and practitioners to address the challenges of engineering complex data-intensive software systems. SEMLA offers a training program called CREATE SE4AI, which focuses on the development, deployment, and servicing of AI-based software systems, covering academic, technical, and professional skills. The center also hosts an international symposium, SEMLA, to foster discussion and collaboration on the implications of engineering intelligent software. Their research highlights include studies on code reuse vulnerabilities, certification of ML-based safety-critical systems, co-evolution of ML pipelines, and exploratory studies on machine learning model stores.

The USC Center for AI in Society (CAIS) is a collaborative initiative between the social work and engineering departments at the University of Southern California. CAIS focuses on advancing AI scholarship and its practical application to improve the well-being of vulnerable communities. The center is dedicated to promoting the responsible development and deployment of AI technologies through strategic partnerships with various stakeholders and policymakers. Its core activities revolve around conducting research and providing education in the field of just artificial intelligence, ensuring that AI advancements contribute positively to societal good and address ethical considerations.

Hebrew Calendar Converter is an AI-powered online tool designed for seamless date conversion between the Hebrew and Gregorian calendars. This utility is perfect for individuals and professionals engaged in historical research, event planning, or anyone needing to navigate both calendar systems accurately. With its intuitive interface, users can quickly convert dates, making it an invaluable resource for academic studies, genealogical research, or simply scheduling events that require consideration of both calendar formats. The tool leverages AI assistance to ensure precision and ease of use, providing a reliable solution for all your date conversion needs.

The Hellenic Artificial Intelligence Association (EETN) is a non-profit scientific organization dedicated to advancing Artificial Intelligence (AI) research, innovation, and education both within Greece and internationally. As a member of EurAI, EETN serves as a central point for AI-related discussions and initiatives at a national level. The association actively organizes and supports various activities including the Hellenic Conference on Artificial Intelligence, informative talks, and the 'Greeks in AI' conference. EETN also offers scholarships, awards for the best doctoral dissertations, and grants for members to present articles at international AI conferences, fostering academic excellence and professional development in the field.

Women in AI Ethics (WAIE) is an organization focused on promoting diversity and ethical considerations within the field of artificial intelligence. Since 2018, WAIE has worked to elevate underrepresented ethical voices, particularly those of women and nonbinary individuals, through initiatives like their "100 Brilliant Women in AI Ethics®" list. They organize educational events with multi-disciplinary experts globally and provide resources such as research reports, mentoring programs, and an annual list of influential women in AI ethics. In response to accelerating AI risks, WAIE launched WAIE+, a community-funded public interest AI venture, in 2025, dedicated to building a safe and secure AI future for everyone.

The AI Policy Lab at Umeå University is dedicated to conducting pioneering, fundamental research in the field of artificial intelligence, transcending traditional boundaries. It focuses on developing and implementing innovative methods and engaging in diverse activities that facilitate knowledge exchange. The lab aims to be swift-footed in responding to immediate challenges within AI Policy, while simultaneously engaging in critical analysis and thoughtful reflection on long-term directions and implications. It fosters interdisciplinary and cross-sectorial collaboration, developing tools to understand and govern AI from a human-centered perspective. The lab also hosts events, publishes academic work, and offers opportunities like fellowships and externships.

Medvolt is an AI-driven platform revolutionizing early-stage drug discovery and development by democratizing access to cutting-edge generative AI and advanced physics-based simulation technology. Its in silico platform, MedGraph, empowers the generation of novel insights through efficient, resource-optimized pipelines, translating into tangible experimental results. Key features include interpretable and data-centric AI models trained on curated domain data, an affordable and enterprise-class modular platform, and multi-domain expertise. Medvolt offers solutions for small and large molecule drug discovery, knowledge curation, and peptide therapeutics, aiming to reduce costs and significantly boost success rates in pharmaceutical research.

The DaSCI (Andalusian Institute in Artificial Intelligence) is a leading center dedicated to advancing research, innovation, and technology transfer in artificial intelligence and data science. The institute focuses on key areas such as Data Science and Big Data, Computational Intelligence, and various technological applications. DaSCI provides professional courses and doctoral training programs, fostering the next generation of AI and data science experts. It actively engages in scientific projects, publishes research, and facilitates knowledge transfer through initiatives like the Digital Innovation Hub AIR-Andalusia, aiming to bridge the gap between scientific knowledge and socio-economic development.

Chemix, Inc. offers an innovative AI-enabled power system designed to bring safety, observability, and predictability to battery technology. By leveraging Generative AI, Chemix aims to illuminate the complexities often associated with battery performance and behavior. The company is focused on providing an end-to-end solution, with more detailed product information anticipated soon. Located in Sunnyvale, CA, Chemix is dedicated to advancing battery technology through artificial intelligence, ensuring robust and reliable power systems for various applications. Their approach seeks to enhance understanding and control over battery operations, moving beyond traditional methods to offer a more transparent and manageable power solution.

FONDAZIONE ENTE NAZIONALE per l'INTELLIGENZA ARTIFICIALE (E.N.I.A.) is an Italian national foundation dedicated to fostering responsible and ethical AI development. It serves as a hub for ideas and projects, connecting technological innovation with societal needs to drive sustainable progress. E.N.I.A. provides customized solutions for businesses, integrating AI into existing infrastructures. The foundation offers comprehensive training programs, entrepreneurial coaching, and networking opportunities for SMEs, students, academics, and professionals. It also supports the creation and presentation of AI-driven innovations and facilitates knowledge sharing across various sectors. E.N.I.A. actively promotes research, responsible innovation, and ethical AI education through strategic alliances with academic institutions, businesses, and public bodies, while also organizing events to disseminate ethical, scientific, and social perspectives on AI.

Clinials is an AI-powered platform designed for clinical trial teams, including sites, CROs, sponsors, and labs. It streamlines the process of converting complex clinical trial protocols and supporting documents into accurate, role-specific documentation. Users can upload protocols, and Clinials will generate various materials such as Schedules of Activities, Operational Protocol Synopses, and Budget Discovery reports. The platform ensures compliance with regulations like GDPR and HIPAA, offering encrypted data, controlled access, and versioning with full traceability to source data. This allows teams to focus on other critical aspects of trials, knowing their documentation is audit-ready and consistent.

CaseMark is an AI-powered legal operating system designed to streamline legal work for attorneys and legal teams. It offers a comprehensive platform that connects matter workspaces, court reporting services, and structured summaries. Users can drop large legal files, such as discovery documents or transcripts, and receive AI-generated summaries, analyses, and drafts in a fraction of the time. The platform includes features like white-label transcript summaries and portals for court reporters, structured legal deliverables by record type (e.g., case summaries, deposition summaries, medical chronologies), and an API for developers building legal software. CaseMark emphasizes security with SOC 2 Type II and HIPAA compliance, ensuring data privacy and isolation.