Research & Education

PracticeInterview.ai is an AI-powered platform designed to help job seekers hone their interview skills. It offers a comprehensive environment for practicing with real-world questions and scenarios, simulating actual interview experiences. Users receive instant feedback and personalized suggestions, enabling them to identify areas for improvement and refine their responses. This platform is ideal for anyone looking to boost their confidence and performance in job interviews, providing a practical and effective way to prepare for various professional roles and industries. By focusing on practical application and constructive criticism, PracticeInterview.ai aims to equip users with the necessary tools to succeed in their job search.

tiny-cuda-nn is a high-performance C++/CUDA neural network framework designed for speed and efficiency in training and querying neural networks. It incorporates a lightning-fast "fully fused" multi-layer perceptron and a versatile multiresolution hash encoding, as detailed in its technical papers. The framework supports various input encodings, losses, and optimizers, making it adaptable for diverse neural network applications. It also offers JIT fusion for significant performance boosts, particularly on newer NVIDIA GPUs, and provides PyTorch bindings for integration into Python workflows, though native CUDA performance remains superior for large batch sizes. The framework is ideal for developers and researchers working on demanding AI tasks requiring optimized computational performance.

Texygen is an open-source benchmarking platform designed to support research in open-domain text generation models. It offers a comprehensive suite of implemented text generation models, alongside a diverse set of metrics for evaluating the diversity, quality, and consistency of generated texts. The platform aims to standardize research in the field of text generation, fostering reproducibility and reliability in future work. By facilitating the sharing of fine-tuned open-source implementations among researchers, Texygen helps advance the development and understanding of text generation technologies. It supports Python 3.6+ and popular libraries like TensorFlow, Numpy, Scipy, and NLTK.

Cover The Gaps is a comprehensive English teaching platform designed to streamline the workflow for teachers and enhance the learning experience for students. It functions as both a teaching CRM and a learning space, allowing teachers to plan lessons, assign homework, track student progress, and manage schedules with timezone-aware handling. Students benefit from a clear dashboard showing tasks, deadlines, lesson links, and learning materials. The platform integrates AI tools to assist with explanations, practice workflows, and content operations, making it suitable for private tutors, freelance educators, and small language schools looking for an all-in-one solution for lesson management, homework control, and student tracking.

EntreViable is a digital platform designed to foster entrepreneurship development. It offers resources to enhance entrepreneurial knowledge and assists in building robust business plans through the application of AI. The platform also serves as a crucial link, connecting entrepreneurs with potential investors, and cultivates a global entrepreneurial community. EntreViable aims to support the entire journey from idea generation to funding, providing a comprehensive ecosystem for aspiring and established business owners. The platform is currently offered entirely free of charge, making it accessible to a wide range of users.

Koshima.ai offers practical AI training and consulting services designed to help organizations in the UAE and UK identify AI use cases, upskill their teams, and improve business processes. The platform focuses on unlocking operational capacity by redesigning everyday work tasks with AI and training teams to adopt new workflows. Services include identifying time-consuming tasks, designing AI tool workflows, and training teams using their own real work. Koshima.ai also provides consulting for organizations to build shared understanding, identify use cases, and create AI roadmaps. They offer team and department AI productivity training, as well as individual programs for professionals to apply AI to research, writing, analysis, and communication.

aima-pseudocode is an open-source GitHub repository offering pseudocode descriptions of algorithms found in Russell and Norvig's seminal textbook, "Artificial Intelligence - A Modern Approach." This resource is invaluable for students and researchers looking to understand the foundational logic behind various AI algorithms. The algorithms are available in both PDF format for quick reference and Markdown format, allowing for easy integration into digital notes or projects. The repository actively maintains and updates the pseudocode, including versions for both the 3rd and 4th editions of the textbook, ensuring relevance and accuracy for current studies. It serves as a practical companion to the textbook, facilitating deeper comprehension and implementation of AI concepts.

FOURIER-Robotics GR-2 is a cutting-edge humanoid robot designed to push the boundaries of agility, precision, and perception. Built upon customer feedback, GR-2 integrates advanced hardware, design, and software enhancements. Its next-level hardware design includes integrated cabling for power and communication, resulting in concealed wires and a more compact form factor. The improved joint configuration simplifies debugging, reduces manufacturing costs, and enhances the robot's ability to transition from AI simulation to real-world applications. GR-2 features 12-DoF dexterous hands, doubling the dexterity of previous models, and is equipped with six array-type tactile sensors for real-time force sensing and object manipulation. Powered by seven types of distinct FSA actuators, including FSA 2.0 with peak torques exceeding 380 N.m, GR-2 achieves dynamic mobility and precise movements. The Fourier Toolkit provides developers with an upgraded Software Development Kit, offering easy access to pre-optimized modules via intuitive APIs and supporting frameworks like NVIDIA Isaac Lab, ROS, and Mujoco.

N-BEATS is a neural-network based model designed for univariate time series forecasting, open-sourced by ServiceNow Research and originally developed at Element AI. This repository provides a PyTorch implementation of the N-BEATS algorithm, allowing users to reproduce the experimental results detailed in the associated research paper. It includes model architecture, dataset loaders for various datasets used in the paper, and experimental configurations for both generic and interpretable models. The project emphasizes reproducibility and provides instructions for setting up the environment using Docker, running experiments on CPU or GPU, and analyzing results via Jupyter notebooks. It's a valuable resource for researchers and data scientists working with time series forecasting.

DetectGPT is a reliable AI detection tool designed to help users determine if content is human-written or AI-generated. Trained on billions of words, it boasts 95% accuracy across various AI models, including ChatGPT, GPT-4, and Gemini. Beyond detection, DetectGPT provides an AI Humanizer feature to rewrite text, helping content appear more human-like and bypass other AI detectors. It also offers Original Content Certification, allowing users to prove their content's authenticity. The platform includes a plagiarism checker, fact-checking capabilities (coming soon), and a readability score. DetectGPT is particularly useful for teachers ensuring academic integrity, students verifying originality, and writers maintaining content uniqueness. It supports over 50 languages and offers a free trial.

Solohustller is an online learning platform dedicated to empowering ambitious individuals to master new skills and advance their careers. The platform is built to support learners in transforming their professional trajectories through educational resources. It focuses on providing a structured environment for skill development, aiming to help users achieve their learning and career goals. While specific features are not detailed on the public-facing login page, the overarching mission is to facilitate growth and achievement for its user base.

DeepScan: AI Search Assistant is an iOS mobile application developed by Plus Apps, designed to provide efficient information discovery through AI-powered deep search technology. The tool explores, analyzes, and summarizes publicly available data from reliable sources, presenting insights in a clear and structured format. It is ideal for quick research, fact verification, and uncovering meaningful insights on the go. Plus Apps, the creator, focuses on building highly scalable mobile apps in Lifestyle, Entertainment, Utilities, and Productivity categories, with products reaching over 1 million users worldwide.

Lemmelingo is a language-learning app designed to help independent learners build consistent language habits. It provides personalized weekly lessons and exercises tailored to your level, goals, and schedule. Users receive instant corrections on grammar, spelling, and phrasing issues, along with guidance for improvement. The platform offers clear progress tracking through countdowns, streaks, heatmaps, and level trends, allowing users to visibly monitor their advancement. Lemmelingo supports English, German, Spanish, Italian, and French, and allows users to connect their own study materials like books, videos, and podcasts to integrate with their personalized learning path. The first cycle is free, with a subscription required for continued access.

MedTechLabs is a long-term investment initiated in 2018, managed by KTH, Karolinska Institutet, and Region Stockholm, dedicated to advancing medical technology. The center focuses on needs-motivated, clinically-based research and education, aiming to contribute to the development of medical technology from both national and international perspectives. Their research spans various areas of advanced medical technology, including prevention, diagnosis, and therapy, with specific programs like Spectral CT and Endovascular techniques. MedTechLabs also fosters a community of over 20 researchers from KTH and KI, actively publishing research results and engaging in seminars and interviews to share their findings and impact on healthcare.

Syloti App is an interactive learning platform dedicated to preserving and teaching the Syloti script, a unique Bengali script. Designed for all ages, the platform offers a comprehensive approach to language learning through engaging lessons with colorful illustrations and activities. Users can practice writing Syloti with interactive exercises that provide real-time feedback, ensuring effective learning. The app also incorporates fun games to help users practice Syloti letters and build vocabulary. Syloti App aims to make learning the Syloti script accessible and enjoyable, contributing to the preservation of this linguistic heritage.

Sonata is the official project repository for "Sonata: Self-Supervised Learning of Reliable Point Representations," a CVPR'25 Highlight paper. This open-source tool provides self-supervised pre-trained Point Transformer V3 models specifically designed for various 3D point cloud downstream tasks. Users can leverage Sonata for quick inference and visualization, with easy-to-use installation options for both standalone and package modes. The repository includes pre-trained models, inference code, and visualization demos, making it accessible for researchers and developers. It supports custom data integration and offers a flexible data transformation pipeline, along with options for loading models from Huggingface or local paths, even accommodating environments without FlashAttention.

INKslate is a comprehensive career operating system designed for tech professionals. It enables users to craft ATS-friendly resumes using custom templates, suitable for both freshers and experienced individuals. Beyond resume creation, INKslate provides structured career roadmaps, guiding users from beginner to expert in various tech skills. The platform also features proven message templates for job applications, recruiter outreach, and cold emails, alongside curated resources to master in-demand tech skills like DSA, System Design, Frontend, and Backend. With real-time preview and rigorously tested ATS-friendly layouts, INKslate aims to help users land their dream job faster.

UNETR++ is an open-source tool designed for efficient and accurate 3D medical image segmentation, developed by researchers from Mohamed Bin Zayed University of Artificial Intelligence, University of California Merced, Google Research, and Linkoping University. It addresses the computational bottleneck of traditional self-attention mechanisms in volumetric medical imaging by introducing a novel efficient paired attention (EPA) block. This block efficiently learns spatial and channel-wise discriminative features with linear complexity, reducing parameters, compute cost, and inference speed. The tool has been extensively evaluated on five benchmarks, including Synapse, BTCV, ACDC, BRaTs, and Decathlon-Lung, demonstrating state-of-the-art performance with significant efficiency gains. It is available in Keras 3 as part of the AI Toolkit for Healthcare Imaging.

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 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.

Vintedois Diffusion V0 1 is an AI image generation tool available as a Hugging Face Space. It leverages a diffusion model to create images, providing a platform for users to experiment with AI-driven visual content creation. While the current live website indicates a runtime error preventing full functionality, the tool is designed for educational purposes, allowing individuals to explore the capabilities of diffusion models in generating diverse images. It is suitable for those interested in understanding AI image generation or creating unique visuals for personal projects.

Unlocking On-Policy Distillation for Any Model Family is an educational tool hosted on Hugging Face, designed to demystify the complex process of on-policy distillation. It offers interactive diagrams that visually explain how this technique aligns token sequences and merges log-probabilities across various model families. The tool requires no input, making it accessible for immediate exploration. It serves as a valuable resource for AI researchers and machine learning engineers looking to deepen their understanding of advanced model training and alignment strategies. By providing clear visual explanations, it helps users grasp the core concepts of on-policy distillation without needing to delve into complex code or theoretical papers initially.

swin2sr is an open-source AI tool leveraging the SwinV2 Transformer for advanced image super-resolution and restoration. It excels at reducing JPEG compression artifacts and upscaling images, offering state-of-the-art performance in classical, lightweight, and real-world image super-resolution. The tool is particularly effective for compressed input scenarios, addressing common issues like training instability and resolution gaps in transformer vision models. It provides code, pre-trained models, and demos, making it suitable for both research and practical applications in image processing and low-level vision. Demos are available on platforms like Kaggle, Google Colab, and Huggingface Spaces.

Knowt is a comprehensive AI study tool designed to be the #1 free alternative to Quizlet, trusted by millions of students and teachers. It offers a suite of AI-powered features including an AI Lecture Notetaker that records lectures and instantly generates detailed notes, flashcards, quizzes, and games. Users can also leverage its AI PDF Summarizer to transform long readings into study guides and interactive recall methods. Knowt provides unlimited free access to study modes like Learn, Match, and Practice Test, which are often paid features on other platforms. Additionally, it includes a Voice Tutoring & Podcasts feature, allowing Kai, the AI, to quiz users verbally or create podcasts from uploaded content. Knowt supports various file types, including PDFs, PowerPoints, lecture videos, and audio, making it a versatile study companion for any subject.