Courses

Explore the world of General Artificial Intelligence in this thought-provoking interview from GOTO Chicago 2019. Join Danny Lange, SVP of AI and ML at Unity Technologies, Doug Lenat, Founder of the Cyc Project & CEO at Cycorp, and Jørn Larsen, CEO at Trifork, as they delve into the fundamentals of AI, its potential, and current applications. Discover insights on the nature of intelligence, the challenges facing AI development, and the future of self-driving cars. Engage with discussions on the ethical implications of AI and whether it poses a threat to humanity. Despite some audio quality issues, this 35-minute conversation offers valuable perspectives on the rapidly evolving field of artificial intelligence and its impact on our world.

Explore the groundbreaking advancements in Artificial General Intelligence (AGI) through a comprehensive lecture by Yin Tat Lee from Microsoft Research. Delve into the paradigm shift brought about by GPT-4, challenging previous notions of AI capabilities. Examine numerous examples showcasing GPT-4's comprehensive knowledge and understanding that transcends mere pattern recognition. Investigate whether AGI traits are exclusive to large-scale models by exploring a compact 1.3B parameter model designed for code generation. Discover how high-quality data can reduce the need for extensive datasets and parameters, resulting in a model that matches or surpasses existing open-source alternatives while using only 1/1000th of the training compute. Gain insights into the emergent properties observed in this model after fine-tuning on coding exercises, and contemplate the implications for the future of AGI development.

Explore the cutting-edge developments in General Artificial Intelligence with Dr. Demis Hassabis, Co-Founder and CEO of DeepMind, in this illuminating talk. Delve into the world of AI research, including the historic AlphaGo match, and discover its potential impact on science, healthcare, and our understanding of the human mind. Learn about general-purpose learning algorithms, reinforcement learning frameworks, and the evolution of AI from Deep Blue to modern neural networks. Gain insights into the development of memory-enhanced neural systems, 3D environment navigation, and the intricacies of training deep neural networks for complex tasks like mastering the game of Go. Understand the cultural significance of AI achievements and the rapid progress in the field, while contemplating the role of intuition and creativity in artificial intelligence.

Explore the path towards Artificial General Intelligence in this 36-minute conference talk from GOTO Chicago 2019. Discover why game engines serve as ideal virtual biodomes for AI evolution, and learn about groundbreaking developments in reinforcement learning. Delve into topics such as ML training environments, nature's learning methods, and the concept of tabula rasa through practical examples like a chicken crossing the road. Examine the role of Long Short-Term Memory (LSTM), cooperative and competitive rewards, and the limitations of standard reinforcement learning. Gain insights into innovative approaches like the "Good Puppy, Bad Puppy" method and ML-Agents training environments. Finally, trace the journey from biological to cultural evolution in the context of AI development.

Explore the journey towards Artificial General Intelligence in this thought-provoking conference talk from GOTO Copenhagen 2018. Delve into the role of intelligence in biological evolution and learning, and discover why game engines serve as ideal virtual biodomes for AI evolution. Examine how the scale and speed of simulations are revolutionizing AI development, with insights from Danny Lange, VP of AI and ML at Unity Technologies. Learn about innovative concepts such as reinforcement learning, curriculum learning, and the integration of curiosity in AI systems. Gain a deeper understanding of ML training environments, cooperative rewards, and the limits of standard reinforcement learning. Investigate the potential of Long Short-Term Memory (LSTM) and the balance between extrinsic and intrinsic rewards in AI development. Uncover the challenges and opportunities on the path to creating more advanced, generalized artificial intelligence systems.

Explore the limitations of current AI technology and the importance of researching advanced capabilities in this 44-minute conference talk from WeAreDevelopers World Congress 2018. Delve into potential pathways for AI advancement from a research perspective, as presented by Eric Steinberger. Gain insights into the future of Artificial General Intelligence and its implications for the global developer community. Discover why this topic is crucial for the evolution of AI and how it fits into the larger context of technological progress discussed at this major European developer event.

Watch a 31-minute conference talk from Data Science Conference Europe 2022 where O'Reilly author Peter Morgan explores the myths and realities surrounding Artificial General Intelligence (AGI). Delve into the concept of AGI - the theoretical ability of an artificial system to understand and learn any intellectual task that humans can perform. Learn what AGI truly means, separate science fiction from scientific reality, and understand how close humanity is to achieving this technological milestone. Originally presented during the Data & AI Literacy Open Day, this talk provides a clear-eyed assessment of current AGI capabilities and future possibilities in artificial intelligence research.

Explore the intersection of developmental science and artificial general intelligence (AGI) in this insightful lecture presented by David S. Moore from Pitzer College and Claremont Graduate University. Delve into the DARPA-funded Machine Common Sense (MCS) program, which aims to improve AI's common sense capabilities. Learn about the strategy of simulating a child's mind in AI development, as suggested by Alan Turing. Discover how interdisciplinary teams of developmental psychologists and computer scientists collaborate to design AI systems with conceptual competences similar to infants and toddlers. Examine the evaluation methods used to assess these AI systems, including controlled experiments based on tools from infant cognitive development research. Gain insights into the unique challenges facing AGI development and the weaknesses of current AI systems highlighted by the MCS program. Understand the valuable contributions that behavioral science experimental tools can bring to AI evaluation and development.

Join a thought-provoking colloquium presented by renowned AI expert Dr. Stuart Russell from UC Berkeley, exploring the critical topic of artificial general intelligence (AGI) safety and its implications for humanity. Delve into discussions about recent AI advances, examining whether AGI is truly within reach and what consequences this might bring. Learn from Dr. Russell, author of the globally recognized AI textbook "Artificial Intelligence: A Modern Approach," as he challenges Alan Turing's prediction of inevitable machine control while advocating for the development of provably beneficial AI systems. Drawing from his extensive research background spanning machine learning, probabilistic reasoning, knowledge representation, and philosophical foundations, explore why current AI development trajectories may need correction and what steps should be taken to ensure AI remains beneficial to human interests. Gain insights from this distinguished scholar, who holds the Michael H. Smith and Lotfi A. Zadeh Chair in Engineering and was honored as an Officer of the Most Excellent Order of the British Empire.

Explore key concepts, research frontiers, ethical challenges & future impact of AGI. For tech and non-tech learners. What you'll learn: Understand the key components that make up an AGI system, such as knowledge representation, reasoning, learning, and goal-setting.Differentiate between narrow AI, artificial general intelligence (AGI), and artificial superintelligence (ASI), and identify examples of each.Analyze the major technical and ethical challenges involved in developing safe and beneficial AGI, such as value alignment, robustness, transparency, and controCompare and contrast the main approaches being pursued to create AGI, including symbolic, connectionist, and hybrid methods.Identify the key enabling technologies accelerating AGI development, such as deep learning, reinforcement learning, meta-learning, and knowledge graphs.Assess the progress and contributions of major companies and institutions working on AGI, such as DeepMind, OpenAI, Google, MIT, and others.Examine recent breakthroughs and milestones in AGI research, like language models, multi-modal learning, and open-ended problem solving.Understand core principles of responsible AI development and identify key ethical issues raised by advanced AI systems.Recognize the vital role of AI governance frameworks and regulations for ensuring AGI is developed safely and equitably.Realistically evaluate expert forecasts and timelines for when we may achieve human-level AGI.Identify high-value skills and career paths that will be in demand in an AGI-transformed world.Anticipate and prepare for the profound economic, social and geopolitical impacts and risks of artificial general intelligence. Unlock the secrets of Artificial General Intelligence (AGI) and explore the cutting-edge technologies shaping our future in this comprehensive course. Whether you're an AI researcher, technology professional, or simply passionate about the future of machine intelligence, this in-depth program will equip you with the knowledge and skills to navigate the complex landscape of AGI. Dive into the fundamentals of AGI, from its core components and levels to the key challenges researchers face in developing thinking machines. You'll survey the major approaches driving AGI breakthroughs, including deep learning, reinforcement learning, and neuro-symbolic AI, and discover the companies at the forefront of this transformative field, like DeepMind, OpenAI, and Google. But AGI is about more than just the technology – it also raises profound ethical questions and societal implications. That's why this course places a strong emphasis on responsible AI development, exploring crucial topics like value alignment, transparency, and robustness. You'll grapple with the key ethical issues surrounding AGI and understand the vital role of governance frameworks in ensuring this technology benefits humanity. Throughout the course, you'll learn from leading experts who will provide an evidence-based perspective on the current state and future trajectory of AGI. You'll come away with a realistic understanding of how close we are to achieving human-level AI and the transformative impact it could have on our economy and society. Whether you're looking to advance your research, inform your business strategy, or simply satisfy your intellectual curiosity, this course will give you a solid foundation in the key concepts, technologies, and debates shaping the quest for artificial general intelligence. By the end, you'll have the knowledge and skills to critically engage with one of the most important technological developments of our time.

Explore the fascinating intersection of nature, data, and Artificial General Intelligence (AGI) in this thought-provoking conference talk by Julieta Ross from Okee Labs. Delve into the convergence of these three powerful forces and their potential to reshape our understanding of intelligence and problem-solving. Discover how natural systems, big data, and advanced AI technologies are coming together to create new possibilities for scientific discovery and technological innovation. Gain insights into the latest research and developments in AGI, and learn how this emerging field is drawing inspiration from the natural world to create more adaptable and intelligent systems. Examine the ethical implications and societal impacts of this convergence, and consider the future challenges and opportunities it presents for researchers, technologists, and policymakers.

This course provides a comprehensive introduction to Artificial Intelligence (AI), a transformative force shaping industries and societies worldwide. AI now plays a critical role in diverse domains—from predicting consumer behavior to enabling intelligent automation. The course offers a broad understanding of core AI concepts, emphasizing the strategic overview of its applications rather than deep technical implementation. Learners will explore intelligent agents, uninformed and informed search strategies, logic-based reasoning, game-playing techniques, and knowledge representation. The curriculum also includes natural language processing, machine learning classification, planning algorithms, and expert systems. These topics are presented with real-world context to help students grasp how AI systems make decisions, solve problems, and adapt to complex environments. Designed for learners from business and interdisciplinary backgrounds, the course highlights the practical implications of AI in research and industry. Through case-based learning and conceptual exercises, students will develop the ability to evaluate AI-driven solutions and understand the ethical considerations surrounding their use. By the end of the course, participants will be equipped with the knowledge to critically engage with AI tools and trends, enabling them to contribute meaningfully to innovation and decision-making in a data-driven world.

COURSE OUTLINE: For an autonomous agent to behave in an intelligent manner it must be able to solve problems. This means it should be able to arrive at decisions that transform a given situation into a desired or goal situation. The agent should be able to imagine the consequence of its decisions to be able to identify the ones that work. In this first course on AI we study a wide variety of search methods that agents can employ for problem-solving

Instructor: Prof. P. Dasgupta, Department of Computer Science and Engineering, IIT Kharagpur. This course provides an introduction to artificial intelligence, covering topics like Problem Solving by Search, Searching with Costs, Heuristic Search: A* and Beyond, Searching Game Trees, Knowledge-Based Systems: Logic and Deduction, First Order Logic, Inference in First-Order Logic, Logic Programming: Prolog, Prolog: Exercising Control, GraphPLAN and SATPlan, Reasoning with Bayes Networks.

Instructors: Prof. Anupam Basu and Prof. Sudeshna Sarkar, Department of Computer Science and Engineering, IIT Kharagpur. The course will cover basic ideas and techniques underlying the design of intelligent computer systems. Topics include Introduction to AI and intelligent agents; Solving problems by searching, heuristic search techniques, constraint satisfaction problems, stochastic search methods; Knowledge and reasoning: propositional logic, first-order logic, situation calculus; Theorem proving in first-order logic; Planning, partial-order planning; Uncertain knowledge and reasoning; Learning: an overview of different forms of learning, learning decision trees, neural networks; Introduction to natural language processing.

Learn about the fundamentals of Artificial Intelligence in this introductory graduate-level course. It provides a survey of various topics in the field along with in-depth discussion of foundational concepts such as classical search, probability, machine learning, logic and planning.

Explore the transformative potential of Artificial Intelligence in this 40-minute conference talk by Dr. Vivienne Ming at the SingularityU Thailand Summit 2018. Delve into key AI concepts, including deep neural networks, augmented intelligence, and machine learning. Examine the impact of AI on various sectors, from self-driving cars to the job market, and consider the importance of human capital in the age of automation. Discover how AI can be leveraged to address global challenges, with examples such as Refugees United. Gain insights into the future of technology, the creative economy, and the potential for AI to build better people. Learn about the speaker's vision for a better future powered by artificial intelligence and how it can be harnessed to solve complex societal problems.

Dive into a captivating 56-minute conference talk from RSA Conference featuring host Hugh Thompson and esteemed guests Dr. Dawn Song, Dr. Kate Darling, and Dr. Sebastian Thrun as they explore the multifaceted world of artificial intelligence. Delve into the potential of AI as both a savior and a threat, examining its promises and perils, and its role as a friend or foe to humanity. Gain insights from these accomplished experts as they discuss the various applications of AI, its impact on the tech industry and society at large, and the ethical considerations surrounding its development and use. Engage with thought-provoking discussions on how AI can be harnessed to help or potentially harm humanity, depending on its application, implementers, and ultimate goals. Join this popular session that closes RSA Conference 2018, offering a blend of fun, fear, and fascination as it unravels the complex layers of artificial intelligence and its far-reaching implications for our future.

Designed as an introduction to the evolving area of AI, this course emphasizes potential business applications and related managerial insights. Artificial Intelligence (AI) is the science behind systems that can program themselves to classify, predict, and offer solutions based on structured and unstructured data. For millennia, humans have pondered the idea of building intelligent machines. Ever since, AI has had highs and lows, demonstrated successes and unfulfilled potential. Today, AI is empowering people and changing our world. Netflix recommends movies, Amazon recommends popular products, and several EV manufacturers are working to perfect self-driving cars that can navigate safely around other vehicles without human assistance. More recently, Generative AI (e.g., OpenAI’s GPT-4, and variants of this concept such as Google’s Gemini, Anthropic’s Claude or Microsoft’s Copilot) has revolutionized and energized imaginations and expectations with multi-modal capabilities. Businesses are scrambling to suitably adjust AI strategies across multiple domains and industries. This course focuses on how AI systems understand, reason, learn and interact; learn from industry’s experience on several AI use cases. It seeks to help students develop a deeper understanding of machine learning (ML) techniques and the algorithms that power those systems and propose solutions to real-world scenarios leveraging AI methodologies. Students will also learn the estimated size and scope of the AI market, its growth rate, expected contribution to productivity metrics in business operations.

This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.