Best AI tools for< University Lecturer >

PPT AI is an AI-powered presentation maker that allows users to create professional presentations in minutes. The platform offers smart templates and automation to save time and enhance the quality of presentations. Users can upload any document and let PPT AI generate a complete presentation with intelligent content analysis and automated formatting. PPT AI also provides access to a premium template library and design intelligence for optimized visual elements and content arrangement.

AskVideo.ai is a powerful AI tool designed for efficient study and research by allowing users to chat with any YouTube video. It enables users to ask questions, unearth insights, and uncover the best moments with blazing speed. The tool offers numerous use cases, such as engaging with university lectures, tutorial videos, conference talks, seminars, and documentaries. Users can deepen their understanding, clarify doubts instantly, and learn smarter with the help of AskVideo.ai.

Generadordevoz.com is an online tool that allows users to generate voices for any text in seconds using over 409 realistic voices in more than 129 languages and dialects. Users can choose the language, voice, and paste their text to generate voices online. The tool offers advanced features such as extended character limit for audio generation, access to generated audio history, audio control settings, realistic breathing pauses, SSML support for audio customization, and priority support. Users can participate by creating articles or videos showcasing the tool's usage to gain access to the Advanced Panel with premium features. The tool can be used for various purposes such as advertisements, corporate training, IVR greetings, product promotions, podcasts, YouTube monetization, audiobooks, social media videos, news delivery, university lectures, accessibility for people with disabilities, and more.

LitStudy is an AI study assistant designed to enhance learning efficiency for students. It offers features such as real-time audio note generation, converting various content types into structured notes, personalized quiz and flashcard generation, report writing, media upload support, web link processing, language translation, and more. LitStudy aims to help busy individuals learn effectively by providing AI-structured notes in minutes, saving time and optimizing learning between commitments.

Studyquick is an AI-powered tool designed for students to streamline their learning process. By uploading university scripts, lectures, videos, and audio recordings, users can benefit from AI-generated study notes, practice exams, podcasts, and a virtual AI tutor. Studyquick aims to revolutionize the way students prepare for exams by providing personalized and efficient study materials tailored to individual needs. With features like KI-generated study notes, personalized study assistance, and quick access to study materials, Studyquick offers a comprehensive solution for students looking to enhance their learning experience.

Carnegie Mellon University's School of Computer Science (SCS) is a world-renowned institution dedicated to advancing the field of computer science and training the next generation of innovators. With a rich history of groundbreaking research and a commitment to excellence in education, SCS offers a comprehensive range of programs, from undergraduate to doctoral levels, covering various specializations within computer science. The school's faculty are leading experts in their respective fields, actively engaged in cutting-edge research and collaborating with industry partners to solve real-world problems. SCS graduates are highly sought after by top companies and organizations worldwide, recognized for their exceptional skills and ability to drive innovation.

The Institute of Computer Science at the University of Würzburg is a leading research and teaching institution in the field of computer science. With 29 professors and around 200 employees, the institute offers a wide range of study programs, including bachelor's, master's, and teaching degrees. The institute's research focuses on four main areas: Computing, Systems and Networks; Artificial Intelligence and Data Science; Human-Centered Computing; and Aerospace and Robotics.

Duckietown is a platform for delivering cutting-edge robotics and AI learning experiences. It offers teaching resources to instructors, hands-on activities to learners, an accessible research platform to researchers, and a state-of-the-art ecosystem for professional training. Duckietown's mission is to make robotics and AI education state-of-the-art, hands-on, and accessible to all.

Slot Scatter Hitam is an online platform that offers a high Return to Player (RTP) experience, especially in the Mahjong Ways game. It provides players with the opportunity to achieve big wins by obtaining the rare black scatter symbol. The platform collaborates with major providers to enhance gameplay and increase jackpot chances. Players can benefit from game pattern hints, bonuses, and promotions, making their gaming sessions more enjoyable and rewarding. Slot Scatter Hitam aims to deliver a satisfying winning experience through strategic play and a bit of luck.

Gizmo is an AI-powered learning application designed to make studying easy and enjoyable for students of all levels. It offers A.I. quizzes that help users learn and retain information effectively. The app is created by Cambridge alumni and has gained popularity among students for its innovative approach to learning. With features like spaced repetition, active recall, and the ability to turn study materials into flashcards, Gizmo aims to enhance the learning experience and improve academic performance.

Bethge Lab is an AI research group at the University of Tübingen focusing on Neuro AI - Autonomous Lifelong Learning in Machines and Brains. They develop machine learning tools for neural data analysis and draw inspiration from the brain to address key problems in machine learning. Their research includes representation learning, probabilistic inference, generative modeling, behavioral data analysis, and neural data analysis. Additionally, they explore AI sciencepreneurship and collaborate with startups. Bethge Lab aims to advance the understanding of autonomous learning and develop economically feasible solutions for long-term human needs.

Elements of AI is a free online educational platform that offers courses on artificial intelligence for non-experts. Created by MinnaLearn and the University of Helsinki, the platform aims to demystify AI by providing theory, practical exercises, and a comprehensive understanding of AI concepts. With over 1 million students from 170 countries, the courses cover topics like Introduction to AI and Building AI, encouraging a broad audience to learn about AI's impact on society and how to create AI methods.

Northwestern Now is the official news source for Northwestern University. It provides coverage of the University's people, programs, and research. The website includes stories on a wide range of topics, including science and technology, culture and politics, health and medicine, and campus and community life. Northwestern Now also features expert viewpoints, student voices, and announcements and news.

The Visual Computing & Artificial Intelligence Lab at TUM is a group of research enthusiasts advancing cutting-edge research at the intersection of computer vision, computer graphics, and artificial intelligence. Our research mission is to obtain highly-realistic digital replica of the real world, which include representations of detailed 3D geometries, surface textures, and material definitions of both static and dynamic scene environments. In our research, we heavily build on advances in modern machine learning, and develop novel methods that enable us to learn strong priors to fuel 3D reconstruction techniques. Ultimately, we aim to obtain holographic representations that are visually indistinguishable from the real world, ideally captured from a simple webcam or mobile phone. We believe this is a critical component in facilitating immersive augmented and virtual reality applications, and will have a substantial positive impact in modern digital societies.

SopCreator.com is an AI-powered tool designed to help users generate personalized Statements of Purpose (SOP) for university applications. By answering a few questions about their academic and professional journey, users can create a unique SOP in just 15 minutes. The tool follows a standard format of 800-1000 words, ensuring no plagiarism and offering the option to download the SOP as a PDF. SopCreator.com simplifies the SOP writing process by providing tailored paragraphs covering introduction, academic history, work experience, extracurricular activities, university fit, and conclusion.

Shadowing AI is an interview practice platform that provides users with continuous feedback. It is designed to help individuals improve their interview skills by simulating real interview scenarios and offering personalized feedback. By using this platform, users can practice answering common interview questions, receive feedback on their responses, and enhance their overall interview performance. Shadowing AI aims to boost users' confidence and readiness for job interviews through its interactive and user-friendly interface.

Jesse Zhang's personal website showcases his background in engineering, particularly in web development, AI/ML, and mathematics. He highlights his education at Harvard University and internships at renowned companies like Citadel, Google, and Intel. Zhang also mentions his entrepreneurial ventures, including founding Lowkey, which was acquired by Niantic, and his current work on a new company. The website features various projects he has worked on, such as real-time multiplayer implementations of Camel Up and Bananagrams, a financial data visualization tool, and a demo of Zero-Knowledge proofs in the game Mastermind. Additionally, Zhang shares his interest in writing math contest problems and his involvement in angel investing through Sequoia Scouts and Neo.

Integrail is an AI tool that simplifies the process of building AI applications by allowing users to design and deploy multi-agent applications without the need for coding skills. It offers a range of features such as integrating external apps, optimizing cost and accuracy, and deploying applications securely in the cloud or on-premises. Integrail Studio provides access to popular AI models and enables users to transform business workflows efficiently.

Debate AI is an AI-powered platform designed to enhance users' critical thinking and argumentation skills. It provides insights, feedback, and personalized advice to help individuals master the art of debate. By leveraging AI technology, Debate AI offers a unique opportunity for users to engage in meaningful discussions, improve reasoning skills, and gain confidence in articulating ideas effectively. Whether you are a professional debater, university student, aspiring politician, high school debater, or public speaking coach, Debate AI aims to revolutionize the way you approach debates and communication.

TEAMCAL AI is the world's most advanced team scheduling software powered by AI. It simplifies coordination with third parties, across companies, teams across time zones, and applications effortlessly. The application offers features like AI scheduling in seconds, multi-team collaboration, seamless integration with existing workflow tools, and integrated solutions designed for specific business use cases. With various pricing plans catering to different business needs, TEAMCAL AI aims to optimize team scheduling, reduce manual errors, and enhance productivity.

This repository contains code for the O'Reilly Live Online Training for Deploying GPT & LLMs. Learn how to use GPT-4, ChatGPT, OpenAI embeddings, and other large language models to build applications for experimenting and production. Gain practical experience in building applications like text generation, summarization, question answering, and more. Explore alternative generative models such as Cohere and GPT-J. Understand prompt engineering, context stuffing, and few-shot learning to maximize the potential of GPT-like models. Focus on deploying models in production with best practices and debugging techniques. By the end of the training, you will have the skills to start building applications with GPT and other large language models.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

Awesome Embodied AI Job is a curated list of resources related to jobs in the field of Embodied Artificial Intelligence. It includes job boards, companies hiring, and resources for job seekers interested in roles such as robotics engineer, computer vision specialist, AI researcher, machine learning engineer, and data scientist.

This repository contains slides, notebooks, and data for the Machine Learning University (MLU) Responsible AI class. The mission is to make Machine Learning accessible to everyone, covering widely used ML techniques and applying them to real-world problems. The class includes lectures, final projects, and interactive visuals to help users learn about Responsible AI and core ML concepts.

MediaAI is a repository containing lectures and materials for Aalto University's AI for Media, Art & Design course. The course is a hands-on, project-based crash course focusing on deep learning and AI techniques for artists and designers. It covers common AI algorithms & tools, their applications in art, media, and design, and provides hands-on practice in designing, implementing, and using these tools. The course includes lectures, exercises, and a final project based on students' interests. Students can complete the course without programming by creatively utilizing existing tools like ChatGPT and DALL-E. The course emphasizes collaboration, peer-to-peer tutoring, and project-based learning. It covers topics such as text generation, image generation, optimization, and game AI.

This Github repository contains practice session materials for the TUM course on Artificial Intelligence in Automotive Technology. It includes coding examples used in the lectures to teach the foundations of AI in automotive technology. The repository aims to provide hands-on experience and practical knowledge in applying AI concepts to the automotive industry.

The HDU Computer Science Lecture Notes is a comprehensive guide designed to help students navigate through various challenges in the field of computer science. It covers topics such as programming languages, artificial intelligence, software development, and more. The notes provide insights on how to effectively utilize university time, balance grades with project experience, and make informed decisions regarding career paths. Created by a collaborative effort involving students, teachers, and industry experts, the lecture notes aim to serve as a guiding tool for individuals seeking guidance in the computer science domain.

The 'Dive into Large Language Models' series programming practice tutorial is an extension of the 'Artificial Intelligence Security Technology' course lecture notes from Shanghai Jiao Tong University (Instructor: Zhang Zhuosheng). It aims to provide introductory programming references related to large models. Through simple practice, it helps students quickly grasp large models, better engage in course design, or academic research. The tutorial covers topics such as fine-tuning and deployment, prompt learning and thought chains, knowledge editing, model watermarking, jailbreak attacks, multimodal models, large model intelligent agents, and security. Disclaimer: The content is based on contributors' personal experiences, internet data, and accumulated research work, provided for reference only.

AI-PhD-S24 is a mono-repo for the PhD course 'AI for Business Research' at CUHK Business School in Spring 2024. The course aims to provide a basic understanding of machine learning and artificial intelligence concepts/methods used in business research, showcase how ML/AI is utilized in business research, and introduce state-of-the-art AI/ML technologies. The course includes scribed lecture notes, class recordings, and covers topics like AI/ML fundamentals, DL, NLP, CV, unsupervised learning, and diffusion models.

SWE-agent is a tool that turns language models (e.g. GPT-4) into software engineering agents capable of fixing bugs and issues in real GitHub repositories. It achieves state-of-the-art performance on the full test set by resolving 12.29% of issues. The tool is built and maintained by researchers from Princeton University. SWE-agent provides a command line tool and a graphical web interface for developers to interact with. It introduces an Agent-Computer Interface (ACI) to facilitate browsing, viewing, editing, and executing code files within repositories. The tool includes features such as a linter for syntax checking, a specialized file viewer, and a full-directory string searching command to enhance the agent's capabilities. SWE-agent aims to improve prompt engineering and ACI design to enhance the performance of language models in software engineering tasks.

AI-resources is a repository containing links to various resources for learning Artificial Intelligence. It includes video lectures, courses, tutorials, and open-source libraries related to deep learning, reinforcement learning, machine learning, and more. The repository categorizes resources for beginners, average users, and advanced users/researchers, providing a comprehensive collection of materials to enhance knowledge and skills in AI.

SimAI is the industry's first full-stack, high-precision simulator for AI large-scale training. It provides detailed modeling and simulation of the entire LLM training process, encompassing framework, collective communication, network layers, and more. This comprehensive approach offers end-to-end performance data, enabling researchers to analyze training process details, evaluate time consumption of AI tasks under specific conditions, and assess performance gains from various algorithmic optimizations.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

Awesome-Embedded is a curated list of resources for embedded systems enthusiasts. It covers a wide range of topics including MCU programming, RTOS, Linux kernel development, assembly programming, machine learning & AI on MCU, utilities, tips & tricks, and more. The repository provides valuable information, tutorials, and tools for individuals interested in embedded systems development.

This repository contains code for the O'Reilly Live Online Training for 'Transformer Architectures for Generative AI'. The course provides a deep understanding of transformer architectures and their impact on natural language processing (NLP) and vision tasks. Participants learn to harness transformers to tackle problems in text, image, and multimodal AI through theory and practical exercises.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

A GPT that provides lectures for String Theory

Specializes in UK Theses Database in Agriculture & Veterinary Sciences.

A scholarly guide to Whitehead's early work in 'The Concept of Nature'.

Expert on International Business lectures, using specific course material for detailed responses.

I'm an archaeology professor specializing in artifact analysis and ancient civilizations.

Experto en estudios de la Universidade da Coruña (UDC) (versión beta)

Expert in tailored college application and document preparation.

AI University Expert with extensive knowledge on global universities and related queries.

I'm a university guidance counselor here to help craft your essays.

Your go-to source for innovative, practical teaching solutions in higher education.

Your ally for university applications

City University of Hong Kong Virtual Assistant

A university-level paper grader and advisor, specialized in APA format

Git specialist offering university-level teaching and guidance.

A guide for developing university-focused digital startup accelerator programs.

Guides students through university applications, with a focus on essays and interviews.

I assist in crafting essay introductions for university students.

Research-backed AI on hallucinogens, offering insights from university studies and expert opinions.

Any subject, any level from primary school through college / university studies.

Your world-class Economics tutor, powered by students and instructional material from the University of Chicago's highly-ranked Economics program.