Time-consuming testing and computer simulations are bottlenecks in the design of new materials. A thesis from the University of Gothenburg aims to develop an AI model that can efficiently determine the durability and strength of woven composite materials.Time-consuming testing and computer simulations are bottlenecks in the design of new materials. A thesis from the University of Gothenburg aims to develop an AI model that can efficiently determine the durability and strength of woven composite materials.Energy & Green Tech[#item_full_content]

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn to predict specific patterns or effectively complete tasks by analyzing large amounts of data. Yet some studies have highlighted the vulnerabilities of some AI-based tools, demonstrating that the sensitive information they are fed could be potentially accessed by malicious third parties.In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn to predict specific patterns or effectively complete tasks by analyzing large amounts of data. Yet some studies have highlighted the vulnerabilities of some AI-based tools, demonstrating that the sensitive information they are fed could be potentially accessed by malicious third parties.Electronics & Semiconductors[#item_full_content]

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the Institute of Science Tokyo, Japan. This breakthrough framework utilizes an innovative cross-partition message quantization technique and a novel training algorithm to significantly reduce memory demands and increase computational and energy efficiency.BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the Institute of Science Tokyo, Japan. This breakthrough framework utilizes an innovative cross-partition message quantization technique and a novel training algorithm to significantly reduce memory demands and increase computational and energy efficiency.Hardware[#item_full_content]

Images generated by artificial intelligence (AI) are often almost indistinguishable from real images to the human eye. Watermarks—visible or invisible markers embedded in image files—may be the key to verifying whether an image was generated by AI. So-called semantic watermarks, which are embedded deep within the image generation process itself, are considered to be especially robust and hard to remove.Images generated by artificial intelligence (AI) are often almost indistinguishable from real images to the human eye. Watermarks—visible or invisible markers embedded in image files—may be the key to verifying whether an image was generated by AI. So-called semantic watermarks, which are embedded deep within the image generation process itself, are considered to be especially robust and hard to remove.Security[#item_full_content]

While there’s been much negative discussion about AI, including about the possibility that it will take over the world, the public is also being bombarded with positive messages about the technology, and what it can do.While there’s been much negative discussion about AI, including about the possibility that it will take over the world, the public is also being bombarded with positive messages about the technology, and what it can do.Business[#item_full_content]

New partnerships are forming between tech companies and power operators—ones that could reshape decades of misconceptions about nuclear energy.New partnerships are forming between tech companies and power operators—ones that could reshape decades of misconceptions about nuclear energy.Energy & Green Tech[#item_full_content]