UTSA researchers want to teach computers to learn like humans by Staff Writers San Antonio TX (SPX) Mar 06, 2018
A new study by Paul Rad, assistant director of the UTSA Open Cloud Institute, and Nicole Beebe, Melvin Lachman Distinguished Professor in Entrepreneurship and director of the UTSA Cyber Center for Security and Analytics, describes a new cloud-based learning platform for artificial intelligence (A.I.) that teaches machines to learn like humans. "Cognitive learning is all about teaching computers to learn without having to explicitly program them," Rad said. "In this study, we're presenting an entirely new platform for machine learning to teach computers to learn the way we do." To build the cloud-based platform, Rad and Beebe studied how education and understanding has evolved over the past five centuries. They wanted to gain a better picture of how computers could be taught to approach deductive reasoning. "Our goal here is to teach the machine to become smarter, so that it can help us. That's what they're here to do," Rad said. "So how do we become better? We learn from experience." The UTSA researchers also studied how humans learn across their lifetimes. Children, for example, begin by identifying objects such as faces and toys, then move on from there to understand communication. This process helps their thought processes mature as they get older. Ultimately, Rad and Beebe want AI agents to learn automatic threat detection. This means the AI agent can dynamically learn network traffic patterns and normal behavior and thus become more effective in discovering and thwarting new attacks before significant damage. "Or It would be nice if an intelligent computer assistant could aggregate thousands of news items or memos for someone, so that the process of reading that material was quicker and that person could decide almost instantly how to use it," Rad said. Additionally, intelligent machines could be used in medical diagnoses, which Rad says could lead to more affordable health care, and other fields that require precise, deductive reasoning. "During the history, humans have invented and used tools such as swords, calculators and cars, and tools have changed human society and enable us to evolve," Rad said. "That's what we're doing here, but on a much more impactful scale."
Don't want to lose a finger? Let a robot give a hand Boston MA (SPX) Mar 06, 2018 Every year thousands of carpenters injure their hands and fingers doing dangerous tasks like sawing. In an effort to minimize injury and let carpenters focus on design and other bigger-picture tasks, a team from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have created AutoSaw, a system that lets you customize different items that can then be constructed with the help of robots. Users can choose from a range of carpenter-designed templates for chairs, desks and other ... read more
|
|
The content herein, unless otherwise known to be public domain, are Copyright 1995-2024 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. All articles labeled "by Staff Writers" include reports supplied to Space Media Network by industry news wires, PR agencies, corporate press officers and the like. Such articles are individually curated and edited by Space Media Network staff on the basis of the report's information value to our industry and professional readership. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. General Data Protection Regulation (GDPR) Statement Our advertisers use various cookies and the like to deliver the best ad banner available at one time. All network advertising suppliers have GDPR policies (Legitimate Interest) that conform with EU regulations for data collection. By using our websites you consent to cookie based advertising. If you do not agree with this then you must stop using the websites from May 25, 2018. Privacy Statement. Additional information can be found here at About Us. |