In Indiana, Exploration Acres found a way to keep the family farm alive. Exploration Acres has operated its award-winning corn maze for almost 20 years. Breakthroughs, discoveries, and DIY tips sent every weekday. The adage refers to a farmer's goal for their crops if they hope to make the October harvest. And while most Midwesterners are familiar with the axiom, Tim Fitzgerald knows the folksy refrain lost its relevancy decades ago.

As generative AI tools become integrated into design workflows, students increasingly engage with these tools not just as aids, but as collaborators. This study analyzes reflections from 33 student teams in an HCI design course to examine the kinds of judgments students make when using AI tools. We found both established forms of design judgment (e.g., instrumental, appreciative, quality) and emergent types: agency-distribution judgment and reliability judgment. These new forms capture how students negotiate creative responsibility with AI and assess the trustworthiness of its outputs. Our findings suggest that generative AI introduces new layers of complexity into design reasoning, prompting students to reflect not only on what AI produces, but also on how and when to rely on it. By foregrounding these judgments, we offer a conceptual lens for understanding how students engage in co-creative sensemaking with AI in design contexts.

Sweeping calls for Americans in swathes of the country to alter their behavior to reduce air pollution were today slammed as'outrageous.' Indiana's environment department urged residents to turn off their lights to reduce unhealthy levels of ozone, while officials in Southern California are advising people drive slow this weekend to limit the amount of dust released into the air. Both recommendations appear to have been passed down by AirNow, a federal agency that issues guidelines for what to do in situations where air pollution is high. While these unusual advisories have only officially been instated in two states, Government data shows at least 25 states have similar air pollution levels. Ohio and other parts of the Midwest appear to be most at risk.

Multi-Task Reinforcement Learning aims at developing agents that are able to continually evolve and adapt to new scenarios. However, this goal is challenging to achieve due to the phenomenon of catastrophic forgetting and the high demand of computational resources. Learning from scratch for each new task is not a viable or sustainable option, and thus agents should be able to collect and exploit prior knowledge while facing new problems. While several methodologies have attempted to address the problem from different perspectives, they lack a common structure. In this work, we propose a new framework, I Know How (IKH), which provides a common formalization. Our methodology focuses on modularity and compositionality of knowledge in order to achieve and enhance agent's ability to learn and adapt efficiently to dynamic environments. To support our framework definition, we present a simple application of it in a simulated driving environment and compare its performance with that of state-of-the-art approaches.

A novel with the title "Martyr!" arrives on the scene preloaded and explosive. The word is fraught, even more so now than when the book's author, the Iranian American poet Kaveh Akbar, chose it. It signals that Akbar is fascinated with words in action, words that someone has reached for in a state of excitation, like joy or deep grief. The shouter of "Martyr!" bears something within him which he is determined to force the word to express. But the title's punctuation ironizes or undercuts this intention, as if to suggest that language signifies in ways that are impossible to control.

Fox News medical contributor Dr. Marc Siegel outlines how the medical field is working to integrate artificial intelligence to care for heart conditions. If you've read the headlines in 2023, Artificial Intelligence (AI) is either coming to save or destroy education. From AI tools that can help proofread students' work to chatbots that can act as a kind of virtual research assistant, there are applications emerging that could rapidly improve what students are able to do and how they are able to do it. At the same time, ask any teacher, and you'll hear myriad stories of AI-generated essays (many with incorrect information in them), and the yeoman's work necessary to ChatGPT-proof their tests and quizzes. Rather than look at the whole AI and education universe, let's focus on one significant challenge confronting K-12 education today.

Critics might complain that modern pop music is soulless and artificial - but a new'AI popstar' takes that to a whole new level. Anna Indiana, a self-described AI singer-songwriter, has been ridiculed after releasing her first single. In a video posted to YouTube, Anna performs a pop song to a backing track of piano, guitar, and drums. Introducing itself, the AI explains: 'Everything from the key, tempo, chord progression, melody notes, rhythm, lyrics, and my image and singing, is auto-generated using AI.' However, music fans have not reacted well to the release, calling it'horrifying' and'unnerving'.

Fox News contributor Leo Terrell joined'America's Newsroom' to discuss why crime is surging nationwide and how'parental involvement' can reverse the dangerous trend. An Indiana man was slapped with 10 charges after he allegedly fatally shot his father and dismembered his corpse after believing him to be a robot. Shawn Hays, 53, of Lawrence County, Indiana, was arrested Dec. 20 after deputies responded to a welfare check call on his 73-year-old father Rodney Hays, according to a probable cause affidavit cited by local Fox affiliate WXIN. The person who called the police informed them that Hays told them that he had shot and mutilated his father because he had been turned into a robot. Shawn Hays, 53, was slapped with 10 charges after he allegedly fatally shot his father and dismembered his corpse after believing him to be a robot.

What started in Indiana at the Crossroads of America in 2019 was well-received by recent AASHTO attendees seeking new and innovative ways to work more efficiently and meet or exceed their goals. For many years, Indiana was the center of the automobile industry. Elwood Haynes built one of the first successful automobiles in 1894 and tested it on the Fourth of July in Kokomo. He wanted to show the world that he could do better. AI and ML News: Why SMBs Shouldn't Be Afraid of Artificial Intelligence (AI) Fast forward 125 years later to 2019 when the Indiana DOT had the same desire as Elwood Haynes.

Artificial intelligence is everywhere these days, and a few universities in Indiana are working to advance the technology. Today we talk to experts about what A.I. can be used for and the ethical concerns surrounding it. We also get an update from the hosts of the comedy podcast "Defending Indiana."