Green screen technology has been around nearly a century. Some 45 million moviegoers were mesmerized by the special effects of “The Wizard of Oz” when it hit theaters in 1939. The magical scenes in Emerald City were the first to film actors in front of a green screen that later would be replaced with footage of fantastical scenes recorded at a different time and place.Green screen technology has been around nearly a century. Some 45 million moviegoers were mesmerized by the special effects of “The Wizard of Oz” when it hit theaters in 1939. The magical scenes in Emerald City were the first to film actors in front of a green screen that later would be replaced with footage of fantastical scenes recorded at a different time and place.[#item_full_content]
In an opinion paper published July 10 in the journal Patterns, researchers show that computer programs commonly used to determine if a text was written by artificial intelligence tend to falsely label articles written by non-native language speakers as AI-generated. The researchers caution against the use of such AI text detectors for their unreliability, which could have negative impacts on individuals including students and those applying for jobs.In an opinion paper published July 10 in the journal Patterns, researchers show that computer programs commonly used to determine if a text was written by artificial intelligence tend to falsely label articles written by non-native language speakers as AI-generated. The researchers caution against the use of such AI text detectors for their unreliability, which could have negative impacts on individuals including students and those applying for jobs.Machine learning & AI[#item_full_content]
Designing reliable aircraft can be both challenging and time-consuming, as it often entails several steps and analyses. Deep learning models could potentially help to speed up aircraft design and deployment, helping developers to identify the most promising solutions or potential flaws with a specific aircraft.Designing reliable aircraft can be both challenging and time-consuming, as it often entails several steps and analyses. Deep learning models could potentially help to speed up aircraft design and deployment, helping developers to identify the most promising solutions or potential flaws with a specific aircraft.Automotive[#item_full_content]
Setting its sights on evolving graphics processing units in a growing universe of generative AI, Intel announced the release of several papers outlining efforts it is pursuing in what observers say is a multibillion-dollar opportunity in coming years for the semiconductor chip giant.Setting its sights on evolving graphics processing units in a growing universe of generative AI, Intel announced the release of several papers outlining efforts it is pursuing in what observers say is a multibillion-dollar opportunity in coming years for the semiconductor chip giant.[#item_full_content]
Setting its sights on evolving graphics processing units in a growing universe of generative AI, Intel announced the release of several papers outlining efforts it is pursuing in what observers say is a multibillion-dollar opportunity in coming years for the semiconductor chip giant.Setting its sights on evolving graphics processing units in a growing universe of generative AI, Intel announced the release of several papers outlining efforts it is pursuing in what observers say is a multibillion-dollar opportunity in coming years for the semiconductor chip giant.Computer Sciences[#item_full_content]
A United Nations technology agency assembled a group of robots that physically resembled humans at a news conference Friday, inviting reporters to ask them questions in an event meant to spark discussion about the future of artificial intelligence.A United Nations technology agency assembled a group of robots that physically resembled humans at a news conference Friday, inviting reporters to ask them questions in an event meant to spark discussion about the future of artificial intelligence.Robotics[#item_full_content]
Mars rovers have teams of human experts on Earth telling them what to do. But robots on lander missions to moons orbiting Saturn or Jupiter are too far away to receive timely commands from Earth.Mars rovers have teams of human experts on Earth telling them what to do. But robots on lander missions to moons orbiting Saturn or Jupiter are too far away to receive timely commands from Earth.Robotics[#item_full_content]
Artificial intelligence seems perfect for creating massive sets of images needed to train autonomous cars and other machines to see their environment, but current generative AI systems have shortcomings that can limit their use. Now, engineers at Princeton have developed a software system to overcome those limits and quickly create image sets to prepare machines for nearly any visual setting.Artificial intelligence seems perfect for creating massive sets of images needed to train autonomous cars and other machines to see their environment, but current generative AI systems have shortcomings that can limit their use. Now, engineers at Princeton have developed a software system to overcome those limits and quickly create image sets to prepare machines for nearly any visual setting.Software[#item_full_content]
Imagine you read a book. You commit details of the book to memory and ruminate on the ideas contained in it.Imagine you read a book. You commit details of the book to memory and ruminate on the ideas contained in it.Business[#item_full_content]
The public release of AI text generators, such as ChatGPT, has caused an enormous stir among both those who herald the technology as a great leap forward in communication as well as those who prophesy the technology’s dire effects. However, AI-generated text is notoriously buggy, and human evaluation remains the gold-standard in ensuring accuracy, especially when it comes to applications such as generating long-form summaries of complex texts. And yet, there are no accepted standards for human evaluation of long-form summaries, which means that even the gold-standard is suspect.The public release of AI text generators, such as ChatGPT, has caused an enormous stir among both those who herald the technology as a great leap forward in communication as well as those who prophesy the technology’s dire effects. However, AI-generated text is notoriously buggy, and human evaluation remains the gold-standard in ensuring accuracy, especially when it comes to applications such as generating long-form summaries of complex texts. And yet, there are no accepted standards for human evaluation of long-form summaries, which means that even the gold-standard is suspect.[#item_full_content]