Solar cell, telescope and other optical component manufacturers may be able to design better devices more quickly with AI. OptoGPT, developed by University of Michigan engineers, harnesses the computer architecture underpinning ChatGPT to work backward from desired optical properties to the material structure that can provide them. The paper is published in the journal Opto-Electronic Advances.Solar cell, telescope and other optical component manufacturers may be able to design better devices more quickly with AI. OptoGPT, developed by University of Michigan engineers, harnesses the computer architecture underpinning ChatGPT to work backward from desired optical properties to the material structure that can provide them. The paper is published in the journal Opto-Electronic Advances.Electronics & Semiconductors[#item_full_content]

The Department of Energy’s Oak Ridge National Laboratory has publicly released a new set of additive manufacturing data that industry and researchers can use to evaluate and improve the quality of 3D-printed components. The breadth of the datasets can significantly boost efforts to verify the quality of additively manufactured parts using only information gathered during printing, without requiring expensive and time-consuming post-production analysis.The Department of Energy’s Oak Ridge National Laboratory has publicly released a new set of additive manufacturing data that industry and researchers can use to evaluate and improve the quality of 3D-printed components. The breadth of the datasets can significantly boost efforts to verify the quality of additively manufactured parts using only information gathered during printing, without requiring expensive and time-consuming post-production analysis.Engineering[#item_full_content]

The oil painting depicts a woman standing on a podium, her arm aloft as she grasps a laurel crown in her hand. A scarlet cloak drapes across her chest as she stares at the viewer. To the naked eye, the painting looks like a normal piece in an online portfolio. But the version of the painting uploaded online belies a hidden defense system—a tool called Glaze that masks the artist’s style and cloaks the art from use by generative AI.The oil painting depicts a woman standing on a podium, her arm aloft as she grasps a laurel crown in her hand. A scarlet cloak drapes across her chest as she stares at the viewer. To the naked eye, the painting looks like a normal piece in an online portfolio. But the version of the painting uploaded online belies a hidden defense system—a tool called Glaze that masks the artist’s style and cloaks the art from use by generative AI.Machine learning & AI[#item_full_content]

Most people interact with maps regularly, for example, when they’re trying to get from point A to point B, track the weather or plan a trip. But beyond those daily activities, maps are also increasingly being combined with artificial intelligence to create powerful tools for urban modeling, navigation systems, natural hazard forecasting and response, climate change monitoring, virtual habitat modeling and other kinds of surveillance.Most people interact with maps regularly, for example, when they’re trying to get from point A to point B, track the weather or plan a trip. But beyond those daily activities, maps are also increasingly being combined with artificial intelligence to create powerful tools for urban modeling, navigation systems, natural hazard forecasting and response, climate change monitoring, virtual habitat modeling and other kinds of surveillance.Engineering[#item_full_content]

In a pilot study, posted to the arXiv preprint server, researchers have found evidence that large language models (LLMs) have the ability to analyze controversial topics such as the Australian Robodebt scandal in similar ways to humans—and sometimes exhibit similar biases.In a pilot study, posted to the arXiv preprint server, researchers have found evidence that large language models (LLMs) have the ability to analyze controversial topics such as the Australian Robodebt scandal in similar ways to humans—and sometimes exhibit similar biases.Machine learning & AI[#item_full_content]

Dynamical systems describe the evolution of natural phenomena over time and space through mathematical frameworks, often using differential equations. Accurate predictions in these systems are crucial for various applications, yet traditional methods face challenges due to rigidity and complex dynamic behaviors.Dynamical systems describe the evolution of natural phenomena over time and space through mathematical frameworks, often using differential equations. Accurate predictions in these systems are crucial for various applications, yet traditional methods face challenges due to rigidity and complex dynamic behaviors.Computer Sciences[#item_full_content]

Neural networks have made a seismic impact on how engineers design controllers for robots, catalyzing more adaptive and efficient machines. Still, these brain-like machine-learning systems are a double-edged sword: Their complexity makes them powerful, but it also makes it difficult to guarantee that a robot powered by a neural network will safely accomplish its task.Neural networks have made a seismic impact on how engineers design controllers for robots, catalyzing more adaptive and efficient machines. Still, these brain-like machine-learning systems are a double-edged sword: Their complexity makes them powerful, but it also makes it difficult to guarantee that a robot powered by a neural network will safely accomplish its task.Robotics[#item_full_content]

Hong Kong’s government is testing the city’s own ChatGPT -style tool for its employees, with plans to eventually make it available to the public, its innovation minister said after OpenAI took extra steps to block access from the city and other unsupported regions.Hong Kong’s government is testing the city’s own ChatGPT -style tool for its employees, with plans to eventually make it available to the public, its innovation minister said after OpenAI took extra steps to block access from the city and other unsupported regions.Machine learning & AI[#item_full_content]

Social media offers a treasure trove of data for researchers to understand how organizations and individuals use the technology to communicate with and grow their base of followers. However, manually analyzing the content can be time consuming or, in some cases, simply impossible due to the volume of data. While machine-learning models can help, they present their own set of challenges.Social media offers a treasure trove of data for researchers to understand how organizations and individuals use the technology to communicate with and grow their base of followers. However, manually analyzing the content can be time consuming or, in some cases, simply impossible due to the volume of data. While machine-learning models can help, they present their own set of challenges.Machine learning & AI[#item_full_content]

A novel machine learning framework developed by IIASA researchers to estimate global rooftop area growth from 2020 to 2050 can aid in planning sustainable energy systems, urban development, and climate change mitigation, and has potential for significant benefits in emerging economies.A novel machine learning framework developed by IIASA researchers to estimate global rooftop area growth from 2020 to 2050 can aid in planning sustainable energy systems, urban development, and climate change mitigation, and has potential for significant benefits in emerging economies.Energy & Green Tech[#item_full_content]