Stanford researchers use AI to dynamically adjust road tolls based on observed aggregate flows, improving congestion pricing and reducing traffic congestion. The approach outperforms traditional methods and preserves user privacy. Lead author Devansh Jalota and adviser Marco Pavone are laying the foundations for incentive schemes that improve traffic networks while accounting for societal considerations.

Dive into the world of Artificial Intelligence and create intelligent apps with Python! This comprehensive guide takes you on a journey from AI basics to building real-world applications. Learn about classification, regression, clustering, recommender systems, speech recognition, heuristic search, genetic algorithms, and much more. Discover how to use deep learning algorithms and build applications based on it. With simple yet insightful examples, this book is perfect for Python beginners and experienced programmers alike. Get up and running with AI in no time and start building intelligent applications that interact with the world around you! Recommended for computer science students, software developers, and anyone interested in Artificial Intelligence, this book provides a comprehensive guide to building real-world applications with Python. With a focus on practical examples, the book covers a range of topics including classification, regression, clustering, recommender systems, speech recognition, heuristic search, genetic algorithms, and deep learning. The book is also useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. Whether you are interested in building intelligent gaming systems or developing applications centered on images, text, and time series data, this book is a must-read for anyone interested in the world of Artificial Intelligence.

Are you curious about the exciting world of artificial intelligence (AI)? Have you ever wondered how machines can learn and think like humans? Well, buckle up, because we're about to dive into the depths of deep learning, one of the most fascinating and rapidly advancing areas of AI. Deep learning is a type of machine learning that involves artificial neural networks, which are designed to mimic the way our brains process information. This means that instead of being programmed with specific instructions, deep learning algorithms are trained on large amounts of data to recognize patterns and make predictions. One of the biggest challenges in deep learning is figuring out how to train these algorithms on massive amounts of data without overloading the system. Fortunately, leading academics in the field, such as Geoffrey Hinton, Yann LeCun, and Yoshua Bengio, have made significant contributions to the development of deep learning techniques, including convolutional neural networks and recurrent neural networks. But what exactly can deep learning be used for? The applications are virtually limitless, from speech recognition and image classification to natural language processing and autonomous driving. In fact, deep learning has already been used to diagnose diseases, improve energy efficiency, and even make art! Here are some interesting facts and statistics to whet your appetite: - Deep learning algorithms have been used to reduce the error rate of image classification by over 25% compared to traditional machine learning methods. - In 2015, deep learning was used to beat the world champion in the game of Go, a feat that was thought to be at least a decade away from being possible. - The global deep learning market is expected to grow from $1.2 billion in 2020 to $10.8 billion by 2025, a compound annual growth rate of 47.1%. So what are you waiting for? Get inspired and start exploring the exciting world of deep learning in AI today!

Are cultural stereotypes in AI depictions on screen creating a self-fulfilling prophecy for the lack of women in the AI industry? A study by researchers at the University of Cambridge argues that the underrepresentation of women in AI professions on screen is impacting the recruitment and career aspirations of women in this field. The study found that films predominantly depict AI scientists and engineers as men, which reinforces the gender bias in the real-world AI industry. The study emphasizes the need to address the gender inequality in the AI industry to prevent AI products from discriminating against women. 

Dive into the world of deep learning with this updated edition of a best-selling book, even if you have little knowledge of the technology. With concrete examples and two Python frameworks, Scikit-Learn and TensorFlow 2, you'll gain an intuitive understanding of building intelligent systems. Part 1 covers fundamental tasks, such as simple linear regression, while Part 2 guides you through advanced methods using deep neural networks. With exercises in each chapter, you'll be able to apply what you learn. Get ahead of the curve with Early Release ebooks, and receive updates as the author writes. Recommended for students and professionals interested in machine learning, artificial intelligence, and computer programming, this book offers a comprehensive introduction to deep learning. With minimal theory and practical examples, readers can easily gain an understanding of the key concepts and tools for building intelligent systems. The book is also relevant for those in the fields of data science, engineering, and technology who want to expand their knowledge and skills in machine learning. Additionally, the book's coverage of TensorFlow 2 and Keras makes it a valuable resource for those interested in these specific frameworks.

Data science is being used to tackle pressing social problems, from directing resources to prevent sex trafficking to identifying COVID-19 infected travelers. Analytics can also correct misperceptions and lead to innovative solutions using machine learning and artificial intelligence.

Meet EchoSpeech, a wearable interface that recognizes unvocalized commands based on lip and mouth movements. Developed by Cornell's SciFi Lab, the glasses use acoustic sensing and AI to recognize up to 31 commands with 95% accuracy. EchoSpeech could give patients their voices back and be used to communicate in noisy places or paired with a stylus for design software. With smaller microphones and speakers than pencil erasers, the glasses become a wearable AI-powered sonar system. The technology removes the need for wearable video cameras, improving privacy and battery life.

Discover how large language models like ChatGPT are shaping the way we write and reinforcing existing hierarchies in language use. Learn about the impact of AI technology on linguistic diversity and the ways in which it perpetuates dominant modes of writing, potentially sidelining less common ones. Explore how we can use writing as a tool to resist oppression and create a more equitable future.

Are you passionate about technology and its impact on society? Do you believe in the ethical use of Artificial Intelligence (AI)? If so, then a career in Artificial Intelligence Ethics may be the perfect fit for you! As an Artificial Intelligence Ethicist, you will be responsible for ensuring that AI technology is developed and used in a responsible and ethical manner. This means considering the potential consequences of AI on society, including issues of bias, privacy, and the impact on jobs. One of the most appealing aspects of this field is the opportunity to make a real difference in the world. For example, an AI Ethicist might work with a healthcare company to develop an AI system that can diagnose diseases more accurately than a human doctor. Or, they might work with a social media platform to ensure that their algorithms are not promoting hate speech or other harmful content. Typical duties might include conducting research on the ethical implications of AI, developing guidelines and policies for AI development and use, and working with cross-functional teams to ensure that AI systems are designed and implemented in a responsible manner. There are many potential areas of specialisation within this field, including AI policy, AI governance, and AI risk management. Other related fields might include computer science, philosophy, and law. Typical education and training for an Artificial Intelligence Ethicist might include a degree in computer science, philosophy, or a related field. Some popular undergraduate programs and majors include Computer Science, Philosophy, and Ethics. Helpful personal attributes for an AI Ethicist might include strong critical thinking skills, excellent communication skills, and a passion for social justice. Job prospects for Artificial Intelligence Ethicists are strong, with many opportunities available in both the public and private sectors. Some notable potential employers include Google, Microsoft, and the World Economic Forum. In the longer term, the outlook for this field is extremely positive, with the demand for ethical AI experts only expected to grow as AI becomes more integrated into our daily lives. So, if you're interested in technology, ethics, and making a positive impact on society, consider a career in Artificial Intelligence Ethics!

Minecraft, a popular sandbox video game, is not just a source of entertainment for millions of players around the world but also a tool for technology innovation and AI learning. With its limitless possibilities for creativity and problem-solving, Minecraft has proven to be a valuable resource for educators and students alike. One of the most notable contributions to the use of Minecraft for AI learning is by leading academic Michael Cook, who developed the AI platform Malmo that uses Minecraft as a testing ground for AI algorithms. This platform has been used by researchers from around the world to develop and test new AI techniques, including reinforcement learning and machine vision. The results have been significant, with AI algorithms developed in Malmo demonstrating greater capability and efficiency compared to those developed in more traditional environments. Another example of Minecraft's potential for technology innovation is the use of its "block-based" programming to teach computer science concepts to students. This approach, developed by academic Susanne Bodker, offers a fun and engaging way for students to learn programming concepts, such as algorithms and data structures, while also providing opportunities for creativity and problem-solving. The game's immersive world also provides a unique platform for AI researchers to study human behavior. For example, academic Julian Togelius has used Minecraft to study the behavior of players in multiplayer games, providing valuable insights into the social dynamics of online communities. In addition to these examples, Minecraft has also been used to create educational games and simulations, providing students with hands-on experiences that help them learn about a wide range of academic topics, from history and geography to physics and biology. In conclusion, Minecraft is much more than just a video game; it's a platform for innovation and learning that has endless possibilities. So, grab your pickaxe and start exploring!

Artificial Intelligence (AI) is no longer just a sci-fi concept or a futuristic technology. It has become an integral part of our lives, from virtual assistants in our phones to self-driving cars on our roads. However, with great power comes great responsibility, and this is where the study of Artificial Intelligence Ethics comes in. As an undergraduate student of AI Ethics, you will explore the ethical implications of AI and its impact on society. You will learn about the importance of transparency, accountability, and fairness in the development and deployment of AI systems. You will also delve into the ethical considerations around privacy, bias, and human autonomy in the age of AI. One of the most interesting aspects of this field is the real-life examples that demonstrate its relevance. For instance, AI-powered facial recognition technology has been proven to have a higher error rate for people of color, which raises questions about the fairness and accuracy of such systems. Another example is the use of AI in hiring processes, which can perpetuate existing biases and discrimination. As an AI Ethics student, you will explore these issues and more, and learn how to design AI systems that are ethical and inclusive. In terms of research and innovation, AI Ethics is a rapidly growing field with many exciting developments. Some of the most inspiring academic discourse is around the concept of "Explainable AI", which aims to make AI systems more transparent and understandable to humans. Well-known academic figures in this field include Joanna Bryson, who has written extensively on AI Ethics and is a leading voice in the field. At the undergraduate level, typical majors and modules in AI Ethics include Ethics and Technology, Philosophy of AI, and Machine Learning Ethics. There are also opportunities for further specialisation in areas such as AI Policy, AI Governance, and AI Law. For example, you could explore the legal implications of AI in healthcare, or the ethical considerations around the use of AI in warfare. As for potential future jobs and roles, AI Ethics is a field that is in high demand. You could work as an AI Ethics consultant, helping companies and organizations to design and implement ethical AI systems. You could also work in government agencies or non-profits, shaping AI policy and regulation. Key industries for prospective future employment include tech, healthcare, finance, and defense. Notable potential employers include Google's AI Ethics team, Microsoft's AI and Ethics in Engineering and Research (AETHER) Committee, and the Partnership on AI, which is a collaboration between tech giants such as Amazon, Facebook, and IBM. To succeed in this field, you will need a combination of technical and ethical skills, as well as a passion for social justice and a deep understanding of the impact of technology on society. A background in computer science, philosophy, or social sciences can be helpful, as well as strong critical thinking and communication skills. In conclusion, the study of AI Ethics is an exciting and meaningful field that combines cutting-edge technology with ethical considerations. As an undergraduate student in this field, you will explore the ethical implications of AI and learn how to design systems that are fair, transparent, and inclusive. With many potential career paths and a growing demand for ethical AI expertise, AI Ethics is a field that is sure to make a positive impact on the world.

Imagine a world where decisions are made based on impartial facts and data, where climate change is a more pressing issue than the results of the latest focus group, and where global leaders don't risk instigating World War Three by ranting on Twitter at 02:00AM. This is the world that scientists believe could be possible with the help of artificial intelligence (AI). AI is already being used to assist in deciding who gets grants or benefits, in healthcare and policing, but it is far more likely that it will continue to be used as an aid in decision making, with humans having ultimate power. Learning about AI can help you understand how it can be used to make the world a better place, but also how it can perpetuate discriminatory patterns. While machines might be able to make incredibly complex calculations, they have no objective concept of right and wrong, and are no more equipped than human beings to make big ethical calls. How we use AI to govern is down to human beings themselves.

Discover the future of government bank bailouts with AI! Learn how a new algorithm, developed by top researchers, can help officials make the best financial decisions for taxpayers during a crisis. Explore the complex world of financial, social, and political implications of bailouts like never before!

Are you curious about the impact of artificial intelligence (AI) on our daily lives? Check out this fascinating article from MIT Technology Review to learn how AI is revolutionizing the cybersecurity industry. Discover how matured AI capabilities are helping cybersecurity analysts drive game-changing speed and accuracy in their defenses, and how AI-driven technologies are making their way into the hands of cybersecurity analysts today. Don't miss out on this insightful read!

In "Artificial Intelligence," computer scientist Melanie Mitchell takes readers on a fascinating journey through the history and current state of AI. Mitchell delves into the most pressing questions about AI today, including how intelligent the best AI programs truly are, how they work, and what they can do. She examines the disconnect between the hype and actual achievements in the field, providing clear insights into what has been accomplished and how far we still have to go. This engaging and accessible book is an essential guide to understanding the impact of AI on our future. Recommended for anyone interested in the intersection of technology and society, "Artificial Intelligence" provides a comprehensive overview of the history and current state of AI. This book is particularly relevant for computer scientists, data scientists, and engineers who want to understand the cutting-edge AI programs and the historical lines of thought underpinning recent achievements. It is also useful for policymakers and those concerned with the ethical implications of AI, as Mitchell explores the fears and hopes surrounding the technology. Additionally, anyone interested in the future of work, automation, and the impact of technology on society will find this book thought-provoking and informative.

Are you interested in creating cutting-edge software that changes people's lives? Do you enjoy working in a fast-paced, collaborative environment where innovation is encouraged and rewarded? If so, a career in software development may be right for you. Software developers are the creative minds behind computer programs. They use their expertise in programming languages, algorithms, and database management to design, develop, and test software applications for a variety of industries, from finance and healthcare to gaming and entertainment. They work closely with teams of software engineers, designers, and project managers to create software solutions that solve real-world problems and meet the needs of businesses and consumers alike. One of the most appealing aspects of a career in software development is the opportunity to work on projects that have a real impact on people's lives. For example, software developers at Google have worked on products such as Google Maps, which has revolutionized the way we navigate the world, and Google Translate, which makes it possible for people around the globe to communicate with each other in their own languages. Typical duties of a software developer include analyzing user needs and designing software solutions to meet those needs, writing and testing code, and collaborating with other team members to ensure that the software is delivered on time and to the highest quality standards. As you gain experience in the field, you may also have the opportunity to specialize in areas such as mobile app development, web development, or artificial intelligence. To become a software developer, you'll typically need a bachelor's degree in computer science, software engineering, or a related field. Popular undergraduate programs and majors include computer science, computer engineering, and information technology. In addition to a solid academic background, helpful personal attributes for a career in software development include strong problem-solving skills, a passion for learning, and excellent communication skills. The job prospects for software developers are excellent, with the Bureau of Labor Statistics projecting a 22% growth rate in employment from 2019 to 2029. This growth is driven by the increasing demand for software in virtually every industry, from healthcare and finance to education and entertainment. Some of the top employers in the field include companies such as Microsoft, Amazon, and IBM, as well as startups and small businesses around the world.

Language models can perpetuate societal biases, but MIT researchers have trained a logic-aware model that significantly mitigates harmful stereotypes. With 350 million parameters, this model outperformed larger models on logic-language understanding tasks and had higher iCAT scores, indicating fewer stereotypes. The researchers propose this fair, smaller, and locally deployable model as a solution to challenges faced by current language models, such as fairness, computational resources, and privacy. While language models may still have a long way to go in achieving neutrality, this research offers a promising step forward.

Discover how AI is revolutionizing education with personalized support for teachers and changing what's important for learners. Learn from thought leaders like Sal Khan and explore topics like natural language processing, AI literacy, and workforce development. Join the conversation on how to ethically and safely unlock the potential of AI in education.

Are you using AI-powered writing assistants to help you with your school work? A new study from Cornell University has found that these tools not only put words into your mouth but also ideas into your head. The study shows that the biases baked into AI writing tools could have concerning repercussions for culture and politics. Co-author Mor Naaman, professor at the Jacobs Technion-Cornell Institute at Cornell Tech, warns that apart from increasing efficiency and creativity, there could be other consequences for individuals and society. Read more about this groundbreaking study at Cornell University.

Can AI-generated persuasive appeals sway human opinions on hot social issues? Stanford researchers find out. Chatbots' political persuasion has significant implications for democracy and national security. Discover how AI fared in the experiment and why it calls for immediate consideration of regulations.