Offline reinforcement learning (RL) can be used to improve future performance by leveraging historical data. There exist many different algorithms for offline RL, and it is well recognized that these algorithms, and their hyperparameter settings, can lead to decision policies with substantially differing performance. This prompts the need for pipelines that allow practitioners to systematically perform algorithm-hyperparameter selection for their setting. Critically, in most real-world settings, this pipeline must only involve the use of historical data. Inspired by statistical model selection methods for supervised learning, we introduce a task- and method-agnostic pipeline for automatically training, comparing, selecting, and deploying the best policy when the provided dataset is limited in size. In particular, our work highlights the importance of performing multiple data splits to produce more reliable algorithm-hyperparameter selection. While this is a common approach in supervised learning, to our knowledge, this has not been discussed in detail in the offline RL setting. We show it can have substantial impacts when the dataset is small. Compared to alternate approaches, our proposed pipeline outputs higher-performing deployed policies from a broad range of offline policy learning algorithms and across various simulation domains in healthcare, education, and robotics. This work contributes toward the development of a general-purpose meta-algorithm for automatic algorithm-hyperparameter selection for offline RL.

A new academic program developed at MIT aims to teach U.S. Air and Space Forces personnel to understand and utilize artificial intelligence technologies. In a recent peer-reviewed study, the program researchers found that this approach was effective and well-received by employees with diverse backgrounds and professional roles. The project, which was funded by the Department of the Air Force–MIT Artificial Intelligence Accelerator, seeks to contribute to AI educational research, specifically regarding ways to maximize learning outcomes at scale for people from a variety of educational backgrounds. Experts in MIT Open Learning built a curriculum for three general types of military personnel -- leaders, developers, and users -- utilizing existing MIT educational materials and resources. They also created new, more experimental courses that were targeted at Air and Space Forces leaders.

ChatGPT (Generative Pre-trained Transformer), the conversational artificial intelligence development, can write convincing fake scientific abstracts capable of fooling reviewers. This is according to a new study. In the trials, human reviewers could only detect fake abstracts, generated by the OpenAI developed software, 68 percent of the time. For the research, blinded human reviewers were given a mix of real and falsely generated abstracts and asked to sort which was which. Each reviewer was given 25 abstracts that were a mixture of the generated and original abstracts and asked to give a binary score of what they thought the abstract was.

Microsoft is reportedly in talks to invest $10 billion into OpenAI, the maker of the popular ChatGPT chatbot, according to a report citing people familiar with deal. Microsoft is weighing up the $10 billion stake in OpenAI in a deal that would involve multiple venture firms, according to Semafor, which reports documents sent to prospective investors indicated a targeted close by the end of 2022. Also: What is ChatGPT and why does it matter? Here's what you need to know The Wall Street Journal reported last week that OpenAI was in talks to sell existing shares in a tender offer that would value it at around $29 billion. OpenAI started as a non-profit but in March 2019 created OpenAI LP as a "capped profit" -- a hybrid for-profit and nonprofit -- in order to attract employees and investors and offer them capped returns if it reaches its goals.

When the artificial intelligence platform ChatGPT was released in late November, I was one of many educators who jumped on it, introducing it in the seminar I teach at Yale on the media and democracy. With its ability to communicate in plain-English prose, it was undeniably fun for the students to play with, composing everything from silly poems to job application letters. But it was also deeply troubling. When I prompted it to spread misinformation, it generated a news article falsely asserting the "U.S. Electoral Commission" had found "rampant voter fraud" in the 2020 election. It was also alarmingly quick to complete the term paper assignment that my students had been working on for weeks.

New challenges demand novel approaches to the process of teaching-learning. With the rise of the pandemic era, there has been a surge of options in the educational arena. This new wave has acted as a catalyst in enhancing the teaching-learning process and paving way for better educational experiences thus reinventing the experience of education entirely, shared Yatharth Gautam, Director & COO, Birla Open Minds, in an interview with Nidhi Shail Kujur of Elets News Network (ENN). Tell us about your achievements in terms of'Innovation in Education' during the year 2022. We have always believed that the secret to getting ahead is getting started.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. An apparent cyberattack on Iowa's largest school district has led officials to cancel classes for 30,000 students for a second day as technicians scramble to protect data and restore the computer system, the district's leader said Tuesday afternoon. The Des Moines school district's interim superintendent, Matt Smith, said officials received an alert Monday about a possible "cybersecurity event" that led them to cancel classes Tuesday and then to keep schools closed Wednesday. On Tuesday night, the district announced that school would reopen Thursday.

A 22-year-old college student has developed an app which he claims can detect whether text is written by ChatGPT, the explosive chatbot raising fears of plagiarism in academia. Edward Tian, a senior at Princeton University, developed GPTZero over a summer break. It had 30,000 hits within a week of its launch. Tian said the motivation was to address the use of artificial intelligence to evade anti-plagiarism software to cheat in exams with quick and credible academic writing. His initial tweet, which claimed the app could "quickly and efficiently" detect whether an essay had been written by artificial intelligence, went viral with more than 5m views.

Only a fraction of the 7,000 to 8,000 languages spoken around the world benefit from modern language technologies like voice-to-text transcription, automatic captioning, instantaneous translation and voice recognition. Carnegie Mellon University researchers want to expand the number of languages with automatic speech recognition tools available to them from around 200 to potentially 2,000. "A lot of people in this world speak diverse languages, but language technology tools aren't being developed for all of them," said Xinjian Li, a Ph.D. student in the School of Computer Science's Language Technologies Institute (LTI). "Developing technology and a good language model for all people is one of the goals of this research." Li is part of a research team aiming to simplify the data requirements languages need to create a speech recognition model.

Australian universities have been forced to change the way they run exams and other assessments amid fears students are using emerging artificial intelligence software to write essays. Major institutions have added new rules which state that the use of AI is cheating, with some students already caught using the software. But one AI expert has warned universities are in an "arms race" they can never win. ChatGPT, which generates text on any subject in response to a prompt or query, was launched in November by OpenAI and has already been banned across all devices in New York's public schools due to concerns over its "negative impact on student learning" and potential for plagiarism. In London, one academic tested it against a 2022 exam question and said the AI's answer was "coherent, comprehensive and sticks to the points, something students often fail to do", adding he would have to "set a different kind of exam" or deprive students of internet access for future exams. In Australia, academics have cited concerns over ChatGPT and similar technology's ability to evade anti-plagiarism software while providing quick and credible academic writing.