Recent structural collapses, including tragedies in Surfside, Florida, Pittsburgh, and New York City, have centered the need for more frequent and thorough inspections of aging buildings and infrastructure across the country. But inspections are time-consuming, and often inconsistent, processes, heavily dependent on the judgment of inspectors.Recent structural collapses, including tragedies in Surfside, Florida, Pittsburgh, and New York City, have centered the need for more frequent and thorough inspections of aging buildings and infrastructure across the country. But inspections are time-consuming, and often inconsistent, processes, heavily dependent on the judgment of inspectors.Engineering[#item_full_content]

The human brain has been called the most complicated object in the universe. Trying to replicate that still-unmatched capability for computing, scientists at Los Alamos National Laboratory have made a new interface-type memristive device, which their results suggest can be used to build artificial synapses for next-generation neuromorphic computing.The human brain has been called the most complicated object in the universe. Trying to replicate that still-unmatched capability for computing, scientists at Los Alamos National Laboratory have made a new interface-type memristive device, which their results suggest can be used to build artificial synapses for next-generation neuromorphic computing.Computer Sciences[#item_full_content]

Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images—however, there are significant challenges related to both computing power requirements and decision-making transparency. Researchers have now developed a new methodology that addresses both challenges, while also improving the ViT’s ability to identify, classify and segment objects in images.Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images—however, there are significant challenges related to both computing power requirements and decision-making transparency. Researchers have now developed a new methodology that addresses both challenges, while also improving the ViT’s ability to identify, classify and segment objects in images.Machine learning & AI[#item_full_content]

Improved speed, precision and flexibility—it is important to take advantage of every possible opportunity in optimizing production. To this end, researchers at the Fraunhofer Institute for Material and Beam Technology IWS have developed SURFinpro, a solution that uses artificial intelligence and optical measurement technology to detect, classify and visualize defects in real time, and report them to the plant carrying out the production. The experts will be presenting their system from June 27 to 30, 2023, at Laser World of Photonics, joint Fraunhofer Booth 441 in Hall A3.Improved speed, precision and flexibility—it is important to take advantage of every possible opportunity in optimizing production. To this end, researchers at the Fraunhofer Institute for Material and Beam Technology IWS have developed SURFinpro, a solution that uses artificial intelligence and optical measurement technology to detect, classify and visualize defects in real time, and report them to the plant carrying out the production. The experts will be presenting their system from June 27 to 30, 2023, at Laser World of Photonics, joint Fraunhofer Booth 441 in Hall A3.Engineering[#item_full_content]

Is computational creativity possible? The recent hype around generative artificial intelligence (AI) tools such as ChatGPT, Midjourney, Dall-E and many others, raises new questions about whether creativity is a uniquely human skill. Some recent and remarkable milestones of generative AI foster this question:Is computational creativity possible? The recent hype around generative artificial intelligence (AI) tools such as ChatGPT, Midjourney, Dall-E and many others, raises new questions about whether creativity is a uniquely human skill. Some recent and remarkable milestones of generative AI foster this question:Machine learning & AI[#item_full_content]

Doomsaying is an old occupation. Artificial intelligence (AI) is a complex subject. It’s easy to fear what you don’t understand. These three truths go some way towards explaining the oversimplification and dramatization plaguing discussions about AI.Doomsaying is an old occupation. Artificial intelligence (AI) is a complex subject. It’s easy to fear what you don’t understand. These three truths go some way towards explaining the oversimplification and dramatization plaguing discussions about AI.Machine learning & AI[#item_full_content]

The accelerated pace of robotics development has given us a veritable zoo filled with creatures sometimes indistinguishable from the real deal.The accelerated pace of robotics development has given us a veritable zoo filled with creatures sometimes indistinguishable from the real deal.Robotics[#item_full_content]

First there was ChatGPT, an artificial intelligence model with a seemingly uncanny ability to mimic human language. Now there is the Bloomberg-created BloombergGPT, the first large language model built specifically for the finance industry.First there was ChatGPT, an artificial intelligence model with a seemingly uncanny ability to mimic human language. Now there is the Bloomberg-created BloombergGPT, the first large language model built specifically for the finance industry.Business[#item_full_content]

The ChatGPT search engine has been met with reactions ranging from great enthusiasm to deep concern. At DTU, Professor Brit Ross Winthereik encourages us to always approach new technology openly and analytically to assess how it may be used responsibly.The ChatGPT search engine has been met with reactions ranging from great enthusiasm to deep concern. At DTU, Professor Brit Ross Winthereik encourages us to always approach new technology openly and analytically to assess how it may be used responsibly.Machine learning & AI[#item_full_content]

The language models behind ChatGPT and other generative AI are trained on written words that have been culled from libraries, scraped from websites and social media, and pulled from news reports and speech transcripts from across the world. There are 250 billion such words behind GPT-3.5, the model fueling ChatGPT, for instance, and GPT-4 is now here.The language models behind ChatGPT and other generative AI are trained on written words that have been culled from libraries, scraped from websites and social media, and pulled from news reports and speech transcripts from across the world. There are 250 billion such words behind GPT-3.5, the model fueling ChatGPT, for instance, and GPT-4 is now here.Computer Sciences[#item_full_content]