ChatGPT may be as good as or better than students at assessments in around a quarter of university courses. However, this generally only applies to questions with a clear answer that require memory recall, rather than critical analysis. Yasir Zaki and his team at New York University Abu Dhabi in the United Arab Emirates contacted colleagues in other departments asking them to provide assessment questions from courses taught at the university, including computer science, psychology, political science and business. These colleagues also provided real student answers to the questions. The questions were then run through the artificial intelligence chatbot ChatGPT, which supplied its own responses.

Your digitally enabled workforce is swimming in communication at every turn. From email, Slack, Jira and back, there is no end to the volume of text and data corporate employees are tasked with reading. Is it any surprise that our reading habits have changed dramatically over the last decade? It turns out the modern workforce tends to skim and skip rather than read deeply for comprehension and introspection. Many digital influences, from our habitual scrolling through social media to the frantic pace of all-day meetings, have trained employees to minimize diligent reading and thorough comprehension practices.

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These image-generating AI models are trained on vast data sets consisting of images with text descriptions that have been scraped from the internet. The latest generation of the technology works by taking images in the data set and changing one pixel at a time until the original image is nothing but a collection of random pixels. The AI model then reverses the process to make the pixelated mess into a new image. The paper is the first time researchers have managed to prove that these AI models memorize images in their training sets, says Ryan Webster, a PhD student at the University of Caen Normandy in France, who has studied privacy in other image generation models but was not involved in the research. This could have implications for startups wanting to use generative AI models in health care, because it shows that these systems risk leaking sensitive private information.

Everyone is chattering about ChatGPT. Can it pass the bar exam? No, though it performs well on some sections. Which should force a serious reevaluation of the test's ultimate value to the profession, but instead will convince bar examiners to introduce cavity searches. And, as The Onion points out, ChatGPT was as depressed to take the test as the rest of us.

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated version of Andrew's pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)

Can It Be Outsmarted?" (front page, Jan. 17): This technology could become a boon to learning. It makes cheating easier, too. I teach philosophy and religious studies at a liberal arts college. All my learning is available to you, along with my personal attention and help. But I have zero training -- and less interest -- in hunting down or trying to defeat academic dishonesty.

I'm a full stack developer of most things computer sciency and academic with a true passion for teaching. I've been teaching others about games development, programming, computer graphics, animation and web design for over 25 years in universities in Australia and Europe at the full professor level. I've also consulted for Unity, SAE, the Australian Institute of Entertainment and Wikitude. My best selling textbooks including Holistic Game Development with Unity are used in over 100 institutions world-wide. My graduates work at companies like Apple, Ubisoft, LinkedIn and Deloitte Digital.

Reinforcement learning (RL) is a paradigm of AI methodologies in which an agent learns to interact with its environment in order to maximize the expectation of reward signals received from its environment. Unlike supervised learning, in which the agent is given labeled examples and learns to predict an output based on input, RL involves the agent actively taking actions in its environment and receiving feedback in the form of rewards or punishments. This feedback is used to adjust the agent's behavior and improve its performance over time. RL has been applied to a wide range of domains, including robotics, natural language processing, and finance. In the gaming industry, RL has been used to develop advanced game-playing agents, such as the AlphaGo [1] algorithm that defeated a human champion in the board game Go.

MINNEAPOLIS – Since its public launch in November, ChatGPT has taken the world by storm. The free artificial intelligence chatbot has attracted the attention of giant companies like Microsoft, who will reportedly cut a potential $10 billion deal with the company who owns ChatGPT, OpenAI. "What's unique about this is that it presents information in a way that a human would," says Gene Munster, a managing partner for Loup Ventures, a technology research and investment firm. "It essentially has the ability to think." Artificial intelligence research has been happening for decades, but only recently has it gotten good enough that OpenAI released its ChatGPT chatbot to the public via an easy-to-use website.