{"id":9648,"date":"2024-09-20T08:49:19","date_gmt":"2024-09-20T12:49:19","guid":{"rendered":"https:\/\/www.purdue.edu\/newsroom\/?p=9648"},"modified":"2024-09-20T08:49:20","modified_gmt":"2024-09-20T12:49:20","slug":"todays-top-5-from-purdue-university-70","status":"publish","type":"post","link":"https:\/\/www.purdue.edu\/newsroom\/2024\/Q3\/todays-top-5-from-purdue-university-70","title":{"rendered":"Today\u2019s top 5 from Purdue University"},"content":{"rendered":"\n

\u2018Purdue News Now\u2019<\/a><\/h2>\n\n\n\n

From the incomparable Degas display to the centennial celebration for the Memorial Union, Trevor Peters has everything you need to know in this week\u2019s \u201cPurdue News Now.\u201d<\/p>\n\n\n\n

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Plus, check out five good stories below you may have missed. <\/p>\n\n\n\n

Raising robots: Teaching <\/a>robots<\/a> things humans learn, including navigation, movement, dance, spatial reasoning<\/a><\/h2>\n\n\n\n

Artificial intelligence programs come into the world as a stream of code, knowing nothing, with no experience and no abilities \u2014 they have to be programmed to understand innately human traits. \u201cA robot needs to interact with the world,\u201d said Aniket Bera<\/a>, associate professor of computer science in Purdue University\u2019s College of Science<\/a> and an AI expert. \u201cHuman brains learn through experience and by extrapolating their experiences to new situations. Our brain learns properties are transferable. Machine learning models don\u2019t currently do this. That\u2019s the gap we\u2019re addressing.\u201d<\/p>\n\n\n\n

Media contact:<\/strong> Brittany Steff, bsteff@purdue.edu<\/a><\/p>\n\n\n\n

Autonomous vehicles could understand their passengers better with ChatGPT, research shows<\/a><\/h2>\n\n\n\n

Imagine simply telling your vehicle, \u201cI\u2019m in a hurry,\u201d and it automatically takes you on the most efficient route to where you need to be. Purdue University engineers have found that an autonomous vehicle can do this with the help of ChatGPT or other chatbots made possible by artificial intelligence algorithms called large language models. Ziran Wang<\/a>, an assistant professor in Purdue\u2019s Lyles School of Civil and Construction Engineering<\/a> who led the study, believes that for vehicles to be fully autonomous one day, they\u2019ll need to understand everything that their passengers command, even when the command is implied.<\/p>\n\n\n\n

Media contact:<\/strong> Kayla Albert, wiles5@purdue.edu<\/a><\/p>\n\n\n\n

Gray\u2019s Degas Collection goes on display at Purdue Memorial Union<\/a><\/h2>\n\n\n\n

A collection of 74 bronze sculptures by the French impressionist Edgar Degas opened to the public this week. Believed to be the only complete collection of the works currently on display, the sculptures were a gift to Purdue University\u2019s College of Liberal Arts from alumnus Avrum Gray (BS mechanical engineering 1956). Valued at more than $21 million with a market value of as much as $52 million, the collection represents the largest gift in the history of Purdue\u2019s College of Liberal Arts.<\/p>\n\n\n\n

Media contact:<\/strong> Trevor Peters, peter237@purdue.edu<\/a><\/p>\n\n\n\n

The key to fighting viruses: Understanding their structure is vital to unlock a healthy future for humanity<\/a><\/h2>\n\n\n\n

Richard Kuhn, a molecular virologist at Purdue University, is co-leading a multi-institution grant from the National Institutes of Health aimed at mapping out virus vaccines ahead of potential pandemics. \u201cWe are using the most modern tools and a team of the best experts to understand how the human immune system can be primed and targeted for the fastest, most effective response against viral pathogens,\u201d Kuhn said. \u201cOur primary responsibility is to improve human health in the U.S. and the world.\u201d This work is part of Purdue\u2019s One Health<\/a> initiative.<\/p>\n\n\n\n

Media contact:<\/strong> Brittany Steff, bsteff@purdue.edu<\/a><\/p>\n\n\n\n

Purdue deep-learning innovation secures semiconductors against counterfeit chips<\/a><\/h2>\n\n\n\n

Researchers in Purdue University\u2019s College of Engineering<\/a> have developed a patent-pending optical counterfeit detection method for chips used in semiconductor devices. The Purdue method is called RAPTOR, or residual attention-based processing of tampered optical responses. It leverages deep learning to identify tampering. It improves upon traditional methods, which face challenges in scalability and discriminating between natural degradation and adversarial tampering.<\/p>\n\n\n\n

Media contact:<\/strong> Steve Martin, sgmartin@prf.org<\/a><\/p>\n\n\n\n

MORE: Recent AP video stories<\/h2>\n\n\n\n

The AP Newsroom<\/a> (for AP members) and Purdue News YouTube channel<\/a> (for all reporters) provide comments from Purdue experts on timely topics.<\/p>\n\n\n\n

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