Artificial IntelligenceA top 10 school and No. 1 in Texas, the ラーメンベット 禁止ゲーム of Engineering at The University of Texas at Austin develops courageous engineers who change the world./news/artificial-intelligence2024-11-21T11:28:46-06:00UT ラーメンベット 禁止ゲーム of EngineeringJoomla! - Open Source Content Managementラーメンベット 登録方法 delve into several different2024-11-01T05:32:08-05:002024-11-01T05:32:08-05:00/news/archive/10081-building-a-better-future-krishna-kumars-vision-for-aiNat Levy&ラーメンベット 登録方法;pCivil engineer Krishna Kumar has developed various outreach initiatives to engage young students in learning about AI.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pCivil engineer Krishna Kumar has developed various outreach initiatives to engage young students in learning about AI.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2024-10-22T13:52:47-05:002024-10-22T13:52:47-05:00/news/archive/10078-new-thermal-interface-material-could-cool-down-energy-hungry-data-centersNat Levy&ラーメンベット 登録方法;pA team led by scientists and engineers at The University of Texas at Austin created a new “thermal interface material” that could organically remove heat from high-powered electronic devices, reducing or even eliminating the need for extensive cooling of data centers and other electronic devices.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pA team led by scientists and engineers at The University of Texas at Austin created a new “thermal interface material” that could organically remove heat from high-powered electronic devices, reducing or even eliminating the need for extensive cooling of data centers and other electronic devices.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2024-06-26T14:39:22-05:002024-06-26T14:39:22-05:00/news/archive/10023-citylearn-challenge-gets-a-boost-from-climate-change-ai-programNat Levy&ラーメンベット 登録方法;pA global artificial intelligence challenge led by Texas Engineers Zoltan Nagy and Javad Mohammadi has been &ラーメンベット 登録方法;a href="http://www.climatechange.ai/innovation_grants"recognized by the Climate Change AI Innovation (CCAI) Grants program.&ラーメンベット 登録方法;/a&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pA global artificial intelligence challenge led by Texas Engineers Zoltan Nagy and Javad Mohammadi has been &ラーメンベット 登録方法;a href="http://www.climatechange.ai/innovation_grants"recognized by the Climate Change AI Innovation (CCAI) Grants program.&ラーメンベット 登録方法;/a&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2024-05-28T16:01:19-05:002024-05-28T16:01:19-05:00/news/texas-engineer-magazine/89-2023-24/9830-robot-sznPersephonie Cole&ラーメンベット 登録方法;pThis fall, UT hosted several robotics events, with experts from around the world converging on the Forty Acres to discuss the future of the field.&ラーメンベット 登録方法;/p&ラーメンベット 登録方法;pThis fall, UT hosted several robotics events, with experts from around the world converging on the Forty Acres to discuss the future of the field.&ラーメンベット 登録方法;/pラーメンベット 登録方法 delve into several different2024-04-05T10:37:01-05:002024-04-05T10:37:01-05:00/news/archive/9957-new-advanced-quantum-science-institute-will-bridge-basic-research-and-applied-scienceNat Levy&ラーメンベット 登録方法;pThe University of Texas at Austin is boosting its commitment to research and education in quantum science and engineering by establishing the Texas Quantum Institute.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pThe University of Texas at Austin is boosting its commitment to research and education in quantum science and engineering by establishing the Texas Quantum Institute.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2024-03-26T14:26:47-05:002024-03-26T14:26:47-05:00/news/texas-engineer-magazine/89-2023-24/9824-guiding-aiPersephonie Cole&ラーメンベット 登録方法;p&ラーメンベット 登録方法;span class="font-136015"Artificial intelligence could be the defining technology of our time. Texas Engineers are hard at work refining and improving the technology, imagining new ways to deploy AI to solve important problems and putting up guardrails to protect users — and the technology itself.&ラーメンベット 登録方法;/span&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;p &ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;p &ラーメンベット 登録方法;/p&ラーメンベット 登録方法;p&ラーメンベット 登録方法;span class="font-136015"Artificial intelligence could be the defining technology of our time. Texas Engineers are hard at work refining and improving the technology, imagining new ways to deploy AI to solve important problems and putting up guardrails to protect users — and the technology itself.&ラーメンベット 登録方法;/span&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;p &ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;p &ラーメンベット 登録方法;/pラーメンベット 登録方法 delve into several different2024-03-19T08:28:46-05:002024-03-19T08:28:46-05:00/news/archive/9821-scientists-to-study-real-world-eating-behaviors-using-wearable-sensors-and-aiNat Levy&ラーメンベット 登録方法;pA new National Institutes of Health-funded project by three scientists at The University of Texas at Austin and University of Rhode Island aims to shed light on real-world eating behaviors, using AI-enabled wearable technology.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pA new National Institutes of Health-funded project by three scientists at The University of Texas at Austin and University of Rhode Island aims to shed light on real-world eating behaviors, using AI-enabled wearable technology.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2024-03-12T13:19:34-05:002024-03-12T13:19:34-05:00/news/archive/9820-machine-unlearning-helps-generative-ai-forget-copyright-protected-and-violent-contentNat Levy&ラーメンベット 登録方法;pWhen people learn things they should not know, getting them to forget that information can be tough. This is also true of rapidly growing artificial intelligence programs that are trained to think as we do, and it has become a problem as they run into challenges based on the use of copyright-protected material and privacy issues.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pTo respond to this challenge, researchers at The University of Texas at Austin developed what they say is the first &ラーメンベット 登録方法;a href="https://openreview.net/pdf?id=9hjVoPWPnh" target="_blank" rel="noopener""machine unlearning"&ラーメンベット 登録方法;/a method applied to image-based generative AI.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pWhen people learn things they should not know, getting them to forget that information can be tough. This is also true of rapidly growing artificial intelligence programs that are trained to think as we do, and it has become a problem as they run into challenges based on the use of copyright-protected material and privacy issues.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pTo respond to this challenge, researchers at The University of Texas at Austin developed what they say is the first &ラーメンベット 登録方法;a href="https://openreview.net/pdf?id=9hjVoPWPnh" target="_blank" rel="noopener""machine unlearning"&ラーメンベット 登録方法;/a method applied to image-based generative AI.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2024-02-21T15:26:10-06:002024-02-21T15:26:10-06:00/news/archive/9807-how-ai-can-bolster-power-grids-resistance-to-weather-cyberattacksNat Levy&ラーメンベット 登録方法;pTexas Engineer Javad Mohammadi has dedicated his research to strengthening power grids, using artificial intelligence to make them more resistant to evolving threats.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pTexas Engineer Javad Mohammadi has dedicated his research to strengthening power grids, using artificial intelligence to make them more resistant to evolving threats.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2024-01-25T11:00:04-06:002024-01-25T11:00:04-06:00/news/archive/9790-new-texas-center-will-create-generative-ai-computing-cluster-among-largest-of-its-kindNat Levy&ラーメンベット 登録方法;pThe University of Texas at Austin is creating one of the most powerful artificial intelligence hubs in the academic world to lead in research and offer world-class AI infrastructure to a wide range of partners.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pThe University of Texas at Austin is creating one of the most powerful artificial intelligence hubs in the academic world to lead in research and offer world-class AI infrastructure to a wide range of partners.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2024-01-10T15:18:53-06:002024-01-10T15:18:53-06:00/news/archive/9779-ut-aerospace-engineer-joins-ai-advisory-groupNat Levy&ラーメンベット 登録方法;pArtificial intelligence is quickly becoming embedded in many industries, and aerospace is no exception.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pArtificial intelligence is quickly becoming embedded in many industries, and aerospace is no exception.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2023-11-29T14:58:20-06:002023-11-29T14:58:20-06:00/news/archive/9772-new-community-brings-together-experts-in-ai-civil-engineering-cyberinfrastructurePersephonie Cole&ラーメンベット 登録方法;pTexas Engineers are creating a new community to unite civil engineers, cyberinfrastructure professionals and experts in artificial intelligence to better understand and protect our virtual and physical infrastructure.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pTexas Engineers are creating a new community to unite civil engineers, cyberinfrastructure professionals and experts in artificial intelligence to better understand and protect our virtual and physical infrastructure.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2023-10-04T12:06:37-05:002023-10-04T12:06:37-05:00/news/archive/9755-texas-institute-for-electronics-and-infleqtion-launch-quantum-manufacturing-center-of-excellencePersephonie Cole&ラーメンベット 登録方法;pThe University of Texas at Austin and &ラーメンベット 登録方法;a href="https://www.infleqtion.com/"Infleqtion&ラーメンベット 登録方法;/a, a global quantum technologies company, have signed a memorandum of understanding to develop a new center of excellence for quantum manufacturing. With the recent opening of its flagship corporate office in Austin, Infleqtion will work with UT’s &ラーメンベット 登録方法;a href="https://www.txie.org/"Texas Institute for Electronics&ラーメンベット 登録方法;/a (TIE), collaborate with the University’s faculty experts in photonics and quantum technologies, and draw upon its world-class facilities to scale domestic manufacturing capacity for quantum-enabled products in areas such as energy, navigation, defense, and health care.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pThe University of Texas at Austin and &ラーメンベット 登録方法;a href="https://www.infleqtion.com/"Infleqtion&ラーメンベット 登録方法;/a, a global quantum technologies company, have signed a memorandum of understanding to develop a new center of excellence for quantum manufacturing. With the recent opening of its flagship corporate office in Austin, Infleqtion will work with UT’s &ラーメンベット 登録方法;a href="https://www.txie.org/"Texas Institute for Electronics&ラーメンベット 登録方法;/a (TIE), collaborate with the University’s faculty experts in photonics and quantum technologies, and draw upon its world-class facilities to scale domestic manufacturing capacity for quantum-enabled products in areas such as energy, navigation, defense, and health care.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2023-06-09T09:48:41-05:002023-06-09T09:48:41-05:00/news/archive/9704-new-research-aims-to-fix-machine-learning-s-struggle-with-uncertaintyPersephonie Cole&ラーメンベット 登録方法;pWhen new technology meets the real world, dynamic challenges threaten to derail progress, like a self-driving car that struggles to perceive rapid changes in the environment and adjust.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pWhen new technology meets the real world, dynamic challenges threaten to derail progress, like a self-driving car that struggles to perceive rapid changes in the environment and adjust.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2023-05-15T11:40:15-05:002023-05-15T11:40:15-05:00/news/archive/9689-artificial-neurons-mimic-complex-brain-abilities-for-next-generation-ai-computingPersephonie Cole&ラーメンベット 登録方法;pFor decades, scientists have been investigating how to recreate the versatile computational capabilities of biological neurons to develop faster and more energy-efficient machine learning systems. One promising approach involves the use of memristors: electronic components capable of storing a value by modifying their conductance and then utilizing that value for in-memory processing.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pFor decades, scientists have been investigating how to recreate the versatile computational capabilities of biological neurons to develop faster and more energy-efficient machine learning systems. One promising approach involves the use of memristors: electronic components capable of storing a value by modifying their conductance and then utilizing that value for in-memory processing.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2023-05-04T15:37:07-05:002023-05-04T15:37:07-05:00/news/archive/9684-5-questions-with-yuebing-zheng-author-of-new-book-on-nanophotonicsPersephonie Cole&ラーメンベット 登録方法;pHow light interacts with matter is one of the most basic, yet important branches of science. A growing area in this field is nanophotonics, which studies these interactions at the smallest of scales where material building blocks begin to exhibit dynamic properties.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pHow light interacts with matter is one of the most basic, yet important branches of science. A growing area in this field is nanophotonics, which studies these interactions at the smallest of scales where material building blocks begin to exhibit dynamic properties.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2023-01-04T14:28:23-06:002023-01-04T14:28:23-06:00/news/archive/9629-the-quest-to-use-ai-to-make-buildings-more-efficientPersephonie Cole&ラーメンベット 登録方法;pThe landscape of buildings that populate cities around the world are both major contributors to greenhouse gas emissions, and potentially, significant suppliers of energy to the electrical grid. As a result, there is a movement around the world, across multiple industries, to better control building emissions and energy usage.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pA competition created by researchers at The University of Texas at Austin challenges teams of engineers and scientists to deploy artificial intelligence to improve building energy consumption. Now in its third year, the &ラーメンベット 登録方法;a href="https://www.aicrowd.com/challenges/neurips-2022-citylearn-challenge"CityLearn Challenge&ラーメンベット 登録方法;/a is the biggest it’s ever been, with more than 600 people from 50 countries, across roughly 100 teams, participating.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pThe landscape of buildings that populate cities around the world are both major contributors to greenhouse gas emissions, and potentially, significant suppliers of energy to the electrical grid. As a result, there is a movement around the world, across multiple industries, to better control building emissions and energy usage.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pA competition created by researchers at The University of Texas at Austin challenges teams of engineers and scientists to deploy artificial intelligence to improve building energy consumption. Now in its third year, the &ラーメンベット 登録方法;a href="https://www.aicrowd.com/challenges/neurips-2022-citylearn-challenge"CityLearn Challenge&ラーメンベット 登録方法;/a is the biggest it’s ever been, with more than 600 people from 50 countries, across roughly 100 teams, participating.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2022-03-23T22:05:10-05:002022-03-23T22:05:10-05:00/news/archive/9445-off-label-use-of-imaging-databases-could-lead-to-bias-in-ai-algorithmsPersephonie Cole&ラーメンベット 登録方法;pSignificant advances in artificial intelligence over the past decade have relied upon extensive training of algorithms using massive, open-source databases. But when such datasets are used “off label” and applied in unintended ways, the results are subject to machine learning bias that compromises the integrity of the AI algorithm, according to a new study by researchers at The University of Texas at Austin and the University of California, Berkeley.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pSignificant advances in artificial intelligence over the past decade have relied upon extensive training of algorithms using massive, open-source databases. But when such datasets are used “off label” and applied in unintended ways, the results are subject to machine learning bias that compromises the integrity of the AI algorithm, according to a new study by researchers at The University of Texas at Austin and the University of California, Berkeley.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2022-02-16T11:52:04-06:002022-02-16T11:52:04-06:00/news/archive/9438-ut-austin-and-cisco-form-research-partnershipPersephonie Cole&ラーメンベット 登録方法;pThe University of Texas at Austin and tech giant Cisco struck a research agreement that will begin with an emphasis on artificial intelligence and machine learning before branching out into additional technologies in the future. As part of the five-year partnership, Cisco Research will provide funding and expertise for four AI/ML research projects and one cybersecurity research project over the next year. The researchers from the ラーメンベット 禁止ゲーム of Engineering and College of Natural Sciences will delve into several different areas of AI and ML, including Internet of Things, computer vision, training learning networks and more.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pThe University of Texas at Austin and tech giant Cisco struck a research agreement that will begin with an emphasis on artificial intelligence and machine learning before branching out into additional technologies in the future. As part of the five-year partnership, Cisco Research will provide funding and expertise for four AI/ML research projects and one cybersecurity research project over the next year. The researchers from the ラーメンベット 禁止ゲーム of Engineering and College of Natural Sciences will delve into several different areas of AI and ML, including Internet of Things, computer vision, training learning networks and more.&ラーメンベット 登録方法;/p
ラーメンベット 登録方法 delve into several different2021-07-29T10:50:31-05:002021-07-29T10:50:31-05:00/news/archive/9314-texas-engineers-play-critical-role-in-new-nsf-ai-institutesPersephonie Cole&ラーメンベット 登録方法;pThe National Science Foundation just announced 11 new artificial intelligence institutes across the nation, and researchers from the ラーメンベット 禁止ゲーム of Engineering at The University of Texas at Austin will play prominent roles in two of them. UT Austin was already among the top universities in the world for AI, and its involvement in these new institutes bolsters its strength in this emerging area. Last year, the university was selected by NSF to lead an AI institute focused on machine learning, the technology that drives AI systems, enabling them to acquire knowledge and make predictions in complex environments.&ラーメンベット 登録方法;/p
&ラーメンベット 登録方法;pThe National Science Foundation just announced 11 new artificial intelligence institutes across the nation, and researchers from the ラーメンベット 禁止ゲーム of Engineering at The University of Texas at Austin will play prominent roles in two of them. UT Austin was already among the top universities in the world for AI, and its involvement in these new institutes bolsters its strength in this emerging area. Last year, the university was selected by NSF to lead an AI institute focused on machine learning, the technology that drives AI systems, enabling them to acquire knowledge and make predictions in complex environments.&ラーメンベット 登録方法;/p