Research & Education

KENLG-Reading is a comprehensive repository dedicated to knowledge-enhanced text generation, offering a meticulously curated reading list, tutorials, papers, codes, datasets, and leaderboards. It serves as an invaluable resource for researchers and practitioners in the field, providing a survey published in ACM Computing Survey'22. The repository is actively maintained and updated, ensuring access to the latest advancements and high-citation papers. It covers various aspects of text generation, including basic NLG papers, pretrained language models, controllable generation methods, and knowledge-enhanced techniques using knowledge bases, knowledge graphs, and grounded text.

Unlost provides a structured program designed to assist students in navigating their post-school journey. Through 6 weekly one-on-one sessions with a trained near-peer facilitator, participants develop a clear and actionable plan for their future. The program focuses on creating concrete post-school plans, identifying contingency pathways, and fostering the confidence needed to pursue these goals. While the website content is minimal, the core offering revolves around personalized guidance and support for students transitioning out of school, aiming to reduce uncertainty and empower them with a strategic outlook.

Chrono Civilizations offers an interactive historical atlas, allowing users to explore 5,500 years of world history from 3500 BC to 2024 AD. This educational tool visualizes 1,477 historical events and over 2,700 dynamic territory borders across 10 major civilizations, including China, Greece-Rome, Egypt, India, and the Islamic world. Users can watch empires rise and fall in real-time by sliding through an interactive timeline, observing dynasty boundary changes and the coexistence of different empires like Tang Dynasty China and the Roman Empire. It features a bilingual Chinese/English interface and highlights cross-civilization interaction routes such as the Silk Road.

ML-Roadmap-for-2022 offers a comprehensive and curated list of resources for individuals looking to master machine learning within a six-month timeframe. This GitHub repository provides a structured learning path, starting from foundational concepts like Python programming, data manipulation with Numpy and Pandas, and data visualization, all the way to advanced machine learning algorithms and practical applications. The roadmap is divided into distinct levels: 'Testing the waters,' 'Gaining Conceptual depth,' and 'Learning Practical Concepts,' each with estimated completion times. It includes links to numerous YouTube playlists, practice problems, and Kaggle datasets, making it an invaluable resource for self-paced learning and practical skill development in machine learning.

Liveboard is a real-time collaborative whiteboard designed for teachers and teams to facilitate brainstorming, lesson planning, idea mapping, and sharing plans from any location. This online whiteboard supports real-time collaboration, making it an ideal solution for remote teams and online learning environments. Users can leverage its features for interactive teaching, collaborative planning, and shared digital workspaces. It aims to enhance productivity and communication by providing a dynamic canvas where multiple users can contribute simultaneously, ensuring everyone stays aligned and engaged whether in a virtual classroom or a remote team meeting.

AI5050 is an annual conference dedicated to exploring the impact of AI on business and providing strategies for growth. The event brings together forward-thinking professionals and industry leaders for a full day of inspiring keynotes, practical workshops, and fresh perspectives. Attendees learn how to turn AI from a buzzword into a tangible business advantage through hands-on sessions and real-world use cases. The conference aims to equip participants with the knowledge to create real impact across their organizations using AI, fostering innovation and strategic planning.

AIMX Network serves as a global platform dedicated to connecting AI leaders, practitioners, and innovators. It focuses on addressing the challenges and fostering growth within regional AI communities by providing opportunities to explore real-world AI solutions. Through events like AIMX Singapore and virtual meetups, the network enables participants to learn from expert insights, engage with groundbreaking ideas, and build meaningful collaborations. The platform also offers resources like 'MX Bytes' articles, which delve into topics such as cybersecurity in AI, enterprise AI adoption, and ethical considerations in AI development, helping members to confidently implement AI across their organizations.

DoctorMe.co is a community platform designed for medical professionals to explore and integrate AI tools into their practice. It serves as a central hub for discovering innovative technologies and certified AI products, aiming to improve the quality and efficiency of healthcare. The platform provides a space for doctors to exchange reliable knowledge, participate in webinars, and stay updated on the latest advancements in medical AI. DoctorMe.co highlights real-world examples of AI implementation in leading hospitals and institutions, showcasing its potential in areas like early cancer detection, diagnostic support, and personalized therapy. It also offers opportunities for doctors to contribute to research on AI adoption in medicine and join an expert council.

The Swiss AI Summit is a premier AI conference and ecosystem based in Zurich, designed to connect global AI leaders, industry professionals, and policymakers. The summit focuses on driving real-world AI use cases, fostering innovation, and promoting responsible AI development. Key industries covered include Finance & Insurance, Government, Geopolitics & Defense, Industry & Manufacturing, Cybersecurity, Quantum Computing, and Life Science & Healthcare. Beyond the annual summit, the Swiss AI Summit offers a year-round community with events, an AI Magazine, and a podcast. Attendees can expect keynote speeches, workshops, panel discussions, and demonstrations on cutting-edge AI technologies and applications, providing cross-disciplinary insights and networking opportunities.

Deep-RL-Notes offers a comprehensive collection of notes on Deep Reinforcement Learning, specifically tailored for UC Berkeley's CS 285 (formerly CS 294-112) course, taught by Professor Sergey Levine. This resource serves as a textbook, covering foundational concepts like Markov decision processes and value functions, as well as advanced techniques such as Deep Q-Networks (DQN) and Proximal Policy Optimization (PPO). It integrates deep learning with reinforcement learning, discussing function approximation and representation learning. Users can compile the LaTeX source code into a PDF locally or edit it online via Overleaf, as the repository is regularly updated. The notes aim to balance theoretical clarity with practical relevance, providing examples, case studies, and programming exercises for hands-on experience.

The EDGE AI FOUNDATION, formerly the tinyML Foundation, is a global non-profit organization dedicated to advancing Edge AI through innovation, collaboration, advocacy, and education. It connects researchers, developers, business leaders, and policymakers to foster breakthroughs in AI technologies at the edge. The foundation offers various resources, including an Edge AI Certification Catalog, events, livestreams, and publications like technology reports and articles. It actively partners with academia and industry through working groups to drive cross-industry initiatives and best practices, and promotes responsible AI development. The foundation also curates industry news, highlighting advancements and trends in Edge AI.

wer_are_we is an open-source project dedicated to tracking the state-of-the-art and recent research results in speech recognition. It functions as a dynamic bibliography, compiling and presenting performance metrics (such as Word Error Rate or WER) for various models across different datasets like LibriSpeech, WSJ, Hub5'00, TED-LIUM, and CHiME. The project details the architectures, training methodologies, and published papers associated with each result, offering a valuable resource for researchers and practitioners to compare and understand advancements in the field. Users are encouraged to contribute corrections and updates, fostering a collaborative environment for maintaining an accurate and up-to-date overview of speech recognition progress.

AI Huberman is an AI-powered tool designed to simplify and provide insights from the extensive Huberman Lab podcast content. Users can ask science and health-related questions and receive AI-driven answers derived directly from podcast transcripts. The platform also offers timestamped links to relevant YouTube videos, allowing users to delve deeper into specific topics. Additionally, it provides personalized episode recommendations based on user queries and interests. This tool is ideal for anyone looking to quickly access and understand complex neuroscience and health information discussed in the Huberman Lab podcast, presented in clear, jargon-free language.

Vendra is a manufacturing marketplace designed to streamline the process of sourcing custom parts from U.S. manufacturers. It connects buyers with verified suppliers for services like CNC machining, injection molding, 3D printing, and sheet metal fabrication. Users can submit their CAD files and drawings to receive instant feedback on design issues and cost drivers. The platform then matches them with vetted manufacturers equipped with the necessary tools and capacity. Vendra emphasizes direct collaboration between buyers and shops, aiming to reduce costs by up to 30% compared to other online platforms. It also prioritizes security and compliance, being ITAR Registered, NIST 800-171 Compliant, and utilizing AWS GovCloud Infrastructure with AES-256 encryption.

Morphy is an online learning and development environment designed for small and medium-sized businesses (SMBs) to centralize their operational knowledge and workflows. It addresses the common challenge of knowledge residing in the heads of a few experienced employees, making businesses vulnerable to inconsistencies and dependencies. The platform comprises five integrated modules: a knowledge base, e-learning, onboarding, MTO (Medewerker Tevredenheid Onderzoek - Employee Satisfaction Survey), and POP (Persoonlijk Ontwikkelingsplan - Personal Development Plan). Each module can be used independently, but their combined functionality allows for a cohesive system where information shared in one module is accessible across others, ensuring continuous improvement and consistent execution of tasks. Morphy aims to empower employees to act autonomously and maintain consistent work quality.

Gemma3n Visual (Audio) Question Answering is an AI tool that enables users to interact with images using audio queries. By uploading an image and speaking a question, users receive a text-based answer. This functionality makes it a valuable resource for multimodal AI research, allowing for exploration into how AI can process and respond to combined visual and auditory inputs. The tool is built as a Hugging Face Space, indicating its accessibility and potential for community-driven development and experimentation in the field of AI agents and automation.

oie-resources offers a comprehensive, curated list of resources focused on Open Information Extraction (OIE). This GitHub repository serves as a central hub for researchers and academics, providing access to a wide array of materials including research papers sorted chronologically and by category, code implementations, and datasets. It covers not only core OIE systems but also related work such as taxonomizing open relations and various downstream applications like Question Answering, Knowledge Base Population, and Event Extraction. The resource also features information on OIE systems for different languages, supervised OIE, PhD theses, and demos, making it an invaluable reference for anyone working in the field of natural language processing and information extraction.

KnowledgeNet.ai offers AI Engage™, a platform designed to transform insight into consistent revenue by bridging the gap between sales enablement strategy and revenue execution. It provides advanced outbound intelligence specifically for B2B sales teams. The tool aims to help businesses discover opportunities and accelerate decision-making by leveraging AI to manage and utilize corporate conversations and enterprise knowledge. By linking transactional conversations and data repositories, KnowledgeNet.ai creates a cohesive view of intellectual capital, enabling more effective sales strategies and improved revenue generation.

RecommenderSystem-Paper is an open-source GitHub repository that serves as a curated collection of significant papers, tools, and frameworks within the domain of recommender systems. It is designed to assist researchers and academics by providing a centralized resource for reading and exploring key advancements. The repository categorizes papers by conference (e.g., KDD, ICDM, AAAI, WWW, NIPS, ICML, CIKM, SIGIR, Recsys, WSDM) and by interesting topics such as Cold Start and Deep Learning. Beyond academic papers, it also lists useful recommender system engines like Mosaic and Crab, and algorithm frameworks such as Surprise and LightFM, making it a comprehensive resource for understanding and implementing recommender technologies.

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.

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.

Data Phoenix is a comprehensive live media platform designed for AI and Data professionals. It offers a rich array of content including news, in-depth articles, digests, event listings, videos, and original shows. The platform focuses on covering technologies under the hood, best practices, and live demonstrations from industry builders. Users can stay updated on the latest advancements in AI and data, explore tech talks, demo stages, and research talks. Data Phoenix also provides opportunities to subscribe to newsletters, follow live streams, and partner with them to reach a large audience of AI and data professionals.

Morning Dough is a free daily email newsletter that provides curated digital marketing and AI news, tech insights, and trends. Designed for business owners, affiliates, and digital marketers, it condenses complex information into clear, actionable, and enjoyable content that can be consumed in under two minutes. The newsletter is human-curated, ensuring relevance and quality by sifting through hundreds of daily marketing news sources. It covers a wide range of topics including SEO, content marketing, e-commerce, email marketing, social media, affiliate marketing, and analytics, helping subscribers stay updated with the latest developments in the digital world and AI tools.

awesome-diarization is a comprehensive, curated list of resources dedicated to speaker diarization. This open-source repository organizes a wide array of materials, including academic papers covering various topics like LLM-enhanced diarization, supervised and online diarization, and joint diarization with ASR. It also features a collection of software frameworks and libraries, such as FunASR, SpeechBrain, and pyannote-audio, available in multiple programming languages like Python, Java, and C++. Additionally, it provides information on evaluation tools, clustering algorithms, speaker embedding methods, and relevant datasets, making it an invaluable resource for researchers and developers in speech technology.