The California Cognitive Science Conference at UC Berkeley is an annual all-day symposium bringing together hundreds of students, researchers, & members of the general public from around the world who are passionate about the interdisciplinary field of Cognitive Science for a day of talks & research presentations. We feature talks given by prominent scientists & thinkers from a wide variety of disciplines, & our acclaimed poster session provides undergraduates with the opportunity to present their original research alongside graduate students & professional researchers. The theme for this year's annual conference is "Forging Connections: Bonding & the Brain." Through this event, our speakers will explore the important roles of social connection in today's rapidly changing world: from the neurobiological & psychological implications of bonding to the consequences of technology, & much more. The conference provides attendees with a glimpse into the latest research in all the fields that comprise Cognitive Science, including but not limited to Psychology, Neuroscience, Computer Science/Artificial Intelligence, Linguistics, Philosophy, & the Social Sciences.

As artificial intelligence-assisted technology increases in K-12 instruction and learning, many educators and education businesses see opportunities and potential for the tools -- including enhanced instruction that can be personalized for individual students and efficiencies in conducting student or teacher-led research. Others, however, hold concerns about the potential for cheating or false accusations of cheating, as well as overuse or inappropriate uses for AI systems, which use large amounts of analyzed data to make predictions and perform tasks. "We've done this over the decades because technologies, when they're first introduced, we either say that they are going to be detrimental or they're going to be lifesaving," said Shelley Pasnik, senior advisor to the Center for Children and Technology, a nonprofit that researches technology's influences on teaching and learning. In fact, the use of technology in classrooms, including AI, can be much more complex because humans are actually guiding the application of the technology, said Pasnik, who is also senior vice president at Education Development Center, a nonprofit that designs, implements, and evaluates programs to improve education. The Center for Children and Technology is affiliated with the Education Development Center.

Since its grand entry into the internet in November of last year, ChatGPT has been a phenomenon. This generative AI tool is good at writing papers, doing homework and helping wherever a student needs help. While many people laud ChatGPT, it remains a threat to academics. More universities around the world are now banning the use of ChatGPT. Some are even making its use a punishable offence, the same as plagiarism.

Turnitin's software is used on the work of millions of students Plagiarism detection software that is already screening the work of more than 62 million students worldwide is getting a major upgrade to detect AI-generated writing – though some universities say they don't want it. This comes several months after the release of the AI chatbot ChatGPT that can generate entire essays prompted major US school districts and universities around the world to ban its use. It is unclear if AI-generated writing can be reliably detected.

Before you start reading the article, let me be honest with you: I was feeling pretty saturated with writing tutorials. So, I decided to jump on the bandwagon (better late than never) and share my opinions on why everyone is so hyped up about ChatGPT. I believe it's not just another tech trend that will dissipate in a few months. ChatGPT is already here and changing the way we work. And it's not just developers who should be wary -- with the potential to replace just about every job out there, ChatGPT is set to revolutionize the workforce as we know it.

In recent years, artificial intelligence (AI) has seen significant advancements, particularly in the field of natural language processing (NLP). One of the most notable developments in this field is ChatGPT, an advanced language model developed by OpenAI that uses the GPT architecture. ChatGPT is designed to generate human-like responses to text-based inputs, making it a useful tool for a variety of applications. With its ability to understand and generate natural language, ChatGPT has the potential to revolutionize the way we interact with technology and each other. But what exactly is ChatGPT, and why is it significant?

It's no longer news that one of the first professional sectors threatened by the rapid adoption of ChatGPT and generative AI is education – universities and colleges around the country convened emergency meetings to discuss what to do about the risk of students using AI to cheat on their work. Recent research from professors at the University of Pennsylvania's Wharton School, New York University and Princeton suggests that educators should be just as worried about their own jobs. In an analysis of professions "most exposed" to the latest advances in large language models like ChatGPT, eight of the top 10 are teaching positions. "When we ran our analysis, I was surprised to find that educational occupations come out close to the top in many cases," said Robert Seamans, co-author of the new research study and professor at NYU.

My name is Raj Chhabria and I am a Computer Science Engineer with specialization in Data Science. I am an accomplished coder and programmer, and I enjoy using my skills to contribute to student community by my Udemy Courses. Here on Udemy I intend to share my knowledge in most condensed form through my courses.

Education technology company Udemy has been selling language learning modules made with ChatGPT to help language teachers design their courses. Duolingo, the popular online language learning company, is relying on AI technology to power its Duolingo English Test (DET), an English proficiency exam available online, on demand. The test utilizes ChatGPT to generate text passages for reading comprehension and AI for supporting human proctors in spotting suspicious test-taking behavior. It is also working with teachers to generate lesson content and speed up the process and scale of adding advanced materials to the platform. "Since not everyone in the world has equal access to great teachers and favorable learning conditions, AI gives us the best chance to scale quality education to everyone who needs it," said Klinton Bicknell, Duolingo's head of AI.

We study generalizable policy learning from demonstrations for complex low-level control tasks (e.g., contact-rich object manipulations). We propose an imitation learning method that incorporates the idea of temporal abstraction and the planning capabilities from Hierarchical RL (HRL) in a novel and effective manner. As a step towards decision foundation models, our design can utilize scalable, albeit highly sub-optimal, demonstrations. Specifically, we find certain short subsequences of the demos, i.e. the chain-of-thought (CoT), reflect their hierarchical structures by marking the completion of subgoals in the tasks. Our model learns to dynamically predict the entire CoT as coherent and structured long-term action guidance and consistently outperforms typical two-stage subgoal-conditioned policies. On the other hand, such CoT facilitates generalizable policy learning as they exemplify the decision patterns shared among demos (even those with heavy noises and randomness). Our method, Chain-of-Thought Predictive Control (CoTPC), significantly outperforms existing ones on challenging low-level manipulation tasks from scalable yet highly sub-optimal demos.