Research & Education

The Conference on Robot Learning (CoRL) is an annual international event dedicated to advancing the fields of robotics and machine learning. It serves as a vital platform for researchers, academics, and industry professionals to share cutting-edge research, discuss new advancements, and foster collaboration. CoRL 2026 is scheduled to take place in Austin, Texas, US, from November 9-12, 2026, with workshops on November 9th and the main conference from November 10-12th. The event includes calls for papers, instructions for authors, and opportunities for sponsorship, making it a key gathering for the robot learning community.

The Centre for Artificial Intelligence and Digital Ethics (CAIDE) is a prominent research and teaching center based at the University of Melbourne. CAIDE is dedicated to advancing the understanding and responsible development of AI and digital ethics. Through its cross-disciplinary approach, the center aims to demystify complex topics in AI, fostering informed discussion and innovation. CAIDE actively supports researchers, academics, and policymakers by providing a platform for collaborative research, educational initiatives, and policy engagement. Its work contributes significantly to shaping the ethical landscape of artificial intelligence and its societal impact.

Artificial Intelligence Research and Development Lab (AIRnD Lab) is dedicated to empowering individuals and organizations with the skills and insights needed to thrive in the evolving world of AI. Incorporated in 2024, the lab focuses on fostering innovation and excellence in AI through a team of experienced researchers and educators. Its mission is to democratize AI education and research, making it accessible to everyone from beginners to advanced practitioners. AIRnD Lab organizes online and offline projects, research, and training programs for academics and working professionals, accelerating both research and skill development. The platform emphasizes bridging the gap between theoretical knowledge and practical application, enabling students and partners to harness AI for real-world problem-solving.

AssessCurve.ai is an AI-enabled educational platform specifically designed to support students in the K12 system and those preparing for JEE examinations. By harnessing the power of generative AI, the platform aims to meet the evolving educational needs of students and expand the reach of the entire educational ecosystem. It offers multi-dimensional educational support, suggesting a comprehensive approach to learning and assessment. The platform's focus on AI integration indicates a commitment to modernizing study methods and providing personalized learning experiences for its target audience.

Read Pilot is an AI-powered tool designed to enhance online reading by analyzing articles and generating Q&A cards. This feature allows users to quickly extract and understand the most important information from any online text, making learning and research more efficient. The tool aims to improve comprehension and retention by transforming passive reading into an interactive learning experience. Powered by Next.js and OpenAI, Read Pilot offers an intelligent approach to consuming online content, providing a streamlined way to process information and create study aids.

awesome-multi-agent-papers is a comprehensive compilation of leading research papers focused on multi-agent systems, curated by the Swarms Team. This resource aims to democratize access to key research in the field, making it easier for researchers, developers, and academics to stay updated on the latest advancements. The collection covers a wide range of topics including multi-agent collaboration and system design, frameworks and benchmarks, application-specific multi-agent systems in software engineering, healthcare, data & ML, multimodal applications, and other domains like urban planning and legal reasoning. It also includes papers on evaluation and model improvement for multi-agent LLMs, offering a valuable resource for anyone looking to explore or contribute to the evolving landscape of multi-agent AI.

awesome-multi-task-learning is a meticulously curated list designed for researchers and practitioners in the field of Multi-Task Learning (MTL). It compiles essential resources including datasets, codebases, and academic papers, all from a machine learning perspective. The project is continuously updated and greatly appreciates community contributions, ensuring its relevance and comprehensiveness. It covers various aspects of MTL, from benchmark datasets in computer vision and natural language processing to different architectural approaches like hard and soft parameter sharing, and optimization strategies. This resource is invaluable for anyone looking to explore, implement, or stay current with advancements in multi-task learning.

Eduqat is an AI-powered platform specifically designed for educators and creators looking to build, manage, and expand their online learning businesses. The tool focuses on democratizing education by providing a comprehensive suite of features that empower teachers to effectively share their knowledge with a global audience. It offers functionalities to create impactful and personalized learning experiences, streamlining the process of course development and delivery. While specific features are not detailed on the provided live website content, the platform's core mission revolves around supporting the entire lifecycle of an online education venture, from initial course creation to scaling operations and reaching a wider student base.

Evo11ve.ai is an AI-powered education platform designed to elevate human potential by making learning more interactive and efficient. It offers a personal AI coach for students, identifying knowledge gaps, providing practice opportunities, and offering rubric-based assessments with coaching-style feedback. For teachers, it acts as a personal assistant, freeing up time from routine tasks, generating lesson plan ideas, and offering insights into student needs. Parents can utilize Evo11ve.ai as a 24/7 reliable coach to support their child's learning at home. Schools can become AI-enabled, implementing AI tutoring and productivity tools to improve grade averages. The platform works as a web app on desktops, offering a conversational learning experience through voice or text input, and customizable light/dark modes.

Hello I is an AI-powered career companion designed to assist job seekers and professionals in navigating the job market and advancing their careers. It provides personalized insights, document management, and learning paths to improve career growth. Users can create tailored resumes, identify skill gaps, and develop new skills. The platform helps users find jobs, progress in their current roles, and learn new skills through features like personalized document analysis, research, and chat. Hello I also offers tools for enhancing client interactions, streamlining research, and creating presentations, acting as a dynamic knowledge hub for professional development.

awesome-speech-recognition-speech-synthesis-papers is an open-source GitHub repository that serves as a curated list of academic papers focused on various aspects of speech technology. It covers key areas such as Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis (TTS), Language Modelling, Singing Voice Synthesis (SVS), and Voice Conversion (VC). The repository is organized by topic, making it easy for researchers, academics, and students to find relevant literature. It includes papers ranging from foundational works to recent advancements, often providing direct links to PDF versions. This resource is invaluable for anyone looking to delve into the theoretical and practical developments in speech processing.

Awesome-Robotics-3D is a comprehensive, curated list of 3D Vision papers specifically focusing on the intersection of robotics and large models such as Large Language Models (LLMs) and Vision-Language Models (VLMs). Inspired by awesome-computer-vision, this repository serves as a valuable resource for researchers and academics. It categorizes papers into key areas like Policy Learning, Pretraining, VLM and LLM applications, Representations, and Simulations, Datasets, and Benchmarks. Each entry typically includes links to the paper, associated webpages, and code, making it easy for users to access and explore the research. The list is actively maintained and encourages contributions from the community.

nu.education is an AI-native learning platform focused on transforming education and scaling knowledge for vocational training. It provides smart AI tools specifically designed for schools, associations, and training companies. The platform aims to redefine modern education and corporate training by offering intelligent and personalized learning experiences. By adapting to evolving workforce dynamics and prioritizing skills-first learning, nu.education helps maximize human capital. Its offerings are geared towards creating next-gen learning environments that cater to the specific needs of vocational education.

awesome-nlp is a comprehensive, curated list of resources for Natural Language Processing (NLP) enthusiasts and researchers. It provides an extensive collection of links covering research summaries and trends, prominent NLP research labs, and various tutorials. The resource also includes reading content, videos, online courses, and books related to NLP. Furthermore, it categorizes libraries by programming language, such as Python, Node.js, C++, Java, and more, making it easy to find relevant tools. The list also highlights NLP resources specific to different languages like Korean, Arabic, Chinese, and German, catering to a diverse audience interested in the field.

awesome-nlp-sentiment-analysis is a comprehensive, open-source collection of resources for Natural Language Processing (NLP), with a strong emphasis on sentiment analysis. This GitHub repository compiles relevant datasets, academic papers, and practical open-source implementations. It specifically targets sub-areas such as general sentiment analysis, emotion cause recognition, and the extraction of evaluation objects and associated words. Researchers, students, and developers in the NLP field can leverage this curated list to find foundational knowledge, state-of-the-art research, and practical code examples to advance their work in understanding and processing human emotions and opinions from text.

Awesome-Jailbreak-on-LLMs is a comprehensive collection of resources dedicated to state-of-the-art jailbreak methods for Large Language Models (LLMs). This repository serves as a valuable hub for researchers and academics, offering a curated selection of papers, associated code, relevant datasets, and detailed evaluations. It covers various attack vectors, including black-box, white-box, multi-turn, and multi-modal attacks, as well as defenses and analytical frameworks. The project aims to foster understanding of LLM vulnerabilities, aiding in the development of more robust and secure AI systems. Contributions are welcome, making it a dynamic and evolving resource for the AI security community.

Humane AI Net is a prominent European research network dedicated to advancing human-centered artificial intelligence. The consortium actively funds a large community of AI scientists through smart funds, supporting both micro and macro-projects across various work packages including Human-in-the-Loop AI, Multimodality, Collaboration and Interaction, Societal AI, and Ethics and Responsible AI. It organizes numerous events such as conferences, workshops, and hackathons, fostering a vibrant community for interdisciplinary AI research. Humane AI Net also publishes reports and research, contributing significantly to the discourse on legal protection by design in the AI value chain and the role of AI metrics.

Awesome-Korean-NLP is a comprehensive, curated list of resources dedicated to Natural Language Processing (NLP) for the Korean language. This GitHub repository serves as a central hub for various tools, datasets, blogs, research papers, lectures, and online communities relevant to Korean NLP. It includes specific sections for morpheme/PoS taggers, named entity taggers, spell checkers, syntax parsers, sentimental analysis tools, translators, and general NLP packages. The resource also lists significant Korean datasets like Sejong Corpus and Wikipedia Dump, alongside academic papers and lectures from prominent institutions. It's an invaluable resource for anyone working with Korean language data, from academic researchers to developers building Korean NLP applications.

Awesome-Language-Model-on-Graphs is a comprehensive, curated list of papers and resources focusing on the intersection of large language models (LLMs) and graph structures. This repository is built upon the foundational survey paper, 'Large Language Models on Graphs: A Comprehensive Survey,' and serves as an evolving resource for researchers and academics. It categorizes research into areas such as pure graphs, text-attributed graphs, and text-paired graphs, detailing various approaches like LLM as Predictor, Graph As Sequence, and LLM as Aligner. The resource also highlights key datasets, direct answering methods, and heuristic and algorithmic reasoning techniques. It is designed to be continuously updated, making it an invaluable tool for staying current with advancements in this rapidly developing field.

awesome-online-machine-learning is a comprehensive, open-source curated list of resources dedicated to online machine learning. This field focuses on machine learning where data arrives sequentially, allowing models to update incrementally with one data point at a time, contrasting with traditional batch learning. The repository provides valuable links to courses, books, blog posts, and software related to online ML. It also features an extensive collection of research papers covering various online learning topics such as linear models, support vector machines, neural networks, decision trees, unsupervised learning, time series analysis, drift detection, and anomaly detection. This resource is ideal for anyone looking to deepen their understanding or find tools for online machine learning.

Macro is a privacy-first AI workspace designed to enhance deep document analysis and foster seamless team collaboration. It integrates advanced AI capabilities to streamline workflows, allowing teams to work together more efficiently on complex documents. Key features include inline citations for accurate referencing, threaded chat for organized discussions, and workflow automation to reduce manual tasks. Macro prioritizes security, boasting ISO 27001 and SOC 2 Type II compliance, ensuring a secure environment for sensitive data. It also supports traceable outputs and a zero data retention policy, providing users with confidence in their data privacy and integrity.

immunitoAI is a TechBio company specializing in the development of AI-generated novel antibody therapeutics. Their platform focuses on 'Design over Discovery,' creating antibodies in silico without relying on biological sources, which aims to increase efficiency and expand the antibody space beyond natural repertoires. The company emphasizes 'Drug-First Antibodies,' embedding pre-defined drug properties at the inception of the design process to minimize the exploratory phase in drug developability. Utilizing a 'Structure-First AI Platform,' their neural networks are trained on shape complementarity for precise, target-specific design, optimizing affinity and specificity, and potentially opening possibilities for previously undruggable targets. immunitoAI's vision is to make antibody therapy the norm by unleashing the full potential of antibody-based biological drugs.

LifeSkillsBharat presents SpeakChamp, an innovative AI-powered Speaking Olympiad designed for students in grades 3-12 across India. This platform focuses on enhancing public speaking and communication skills through a competitive yet supportive environment. Participants benefit from AI-powered assessment, which provides objective feedback to help them improve their verbal communication. The Olympiad offers significant incentives, including cash prizes up to ₹15,000, making it an engaging opportunity for students to develop crucial life skills. Schools can register their students to participate, fostering a culture of confidence and effective communication among the youth. SpeakChamp aims to empower the next generation with strong speaking abilities essential for future success.

AI Bookmarker is an AI-powered browser extension designed to optimize bookmark management. It automatically generates tags and summaries for saved web pages, supporting multiple AI models for enhanced functionality. Users can effortlessly organize and retrieve online content through powerful full-text search capabilities. The tool offers seamless integration with Notion for syncing bookmarks and the ability to save original web content, including videos from platforms like X (Twitter), as Markdown. Additionally, it provides one-click synchronization to NotebookLM, enabling users to build a personal knowledge base. With cloud backup and encrypted data, AI Bookmarker ensures both accessibility and privacy for your digital resources.