When technology professionals have questions about how privacy laws apply to the products they build, some turn to Reddit for answers. A University of Maine–led research team investigated why these professionals seek guidance on the platform, which privacy requirements they find most challenging and how they assess advice from strangers.When technology professionals have questions about how privacy laws apply to the products they build, some turn to Reddit for answers. A University of Maine–led research team investigated why these professionals seek guidance on the platform, which privacy requirements they find most challenging and how they assess advice from strangers.[#item_full_content]

Fourier transforms are mathematical calculations that can be used to identify the frequencies that make up a signal and shed light on their individual contributions. These transforms have been used, for example, to unveil patterns in sounds and images, ranging from gradual changes in intensity to fine repeating motifs or details.Fourier transforms are mathematical calculations that can be used to identify the frequencies that make up a signal and shed light on their individual contributions. These transforms have been used, for example, to unveil patterns in sounds and images, ranging from gradual changes in intensity to fine repeating motifs or details.[#item_full_content]

Researchers have developed technologies that reduce communication overhead by transmitting only the data needed for artificial intelligence (AI) analysis and shorten the time users must wait for a response when returning to an AI application after using other apps on a smartphone.Researchers have developed technologies that reduce communication overhead by transmitting only the data needed for artificial intelligence (AI) analysis and shorten the time users must wait for a response when returning to an AI application after using other apps on a smartphone.[#item_full_content]

Almost every artificial intelligence system we know begins in the same way: it is exposed to vast amounts of information from the real world—books, websites, images and recordings—and trained to identify patterns within it. A new study involving researchers from Tel Aviv University and Stanford University raises another possibility: Can a system develop general learning capabilities even when all the data it trains on is generated entirely from scratch within the system itself?Almost every artificial intelligence system we know begins in the same way: it is exposed to vast amounts of information from the real world—books, websites, images and recordings—and trained to identify patterns within it. A new study involving researchers from Tel Aviv University and Stanford University raises another possibility: Can a system develop general learning capabilities even when all the data it trains on is generated entirely from scratch within the system itself?[#item_full_content]

When you think of archives, you probably think of dusty old boxes of paper documents, photos, diaries, letters and flyers, filed away in storage. But increasingly, our archival materials are digital, and material from the 1980s, 1990s and 2000s is often stored on formats like floppy disks and CD-ROMs.When you think of archives, you probably think of dusty old boxes of paper documents, photos, diaries, letters and flyers, filed away in storage. But increasingly, our archival materials are digital, and material from the 1980s, 1990s and 2000s is often stored on formats like floppy disks and CD-ROMs.[#item_full_content]

Large language models (LLMs), the technology that powers tools like Gemini and ChatGPT, are more nuanced than ever. But that doesn’t mean they aren’t biased. Some models are more prejudiced than others, a Rutgers University researcher has found.Large language models (LLMs), the technology that powers tools like Gemini and ChatGPT, are more nuanced than ever. But that doesn’t mean they aren’t biased. Some models are more prejudiced than others, a Rutgers University researcher has found.[#item_full_content]

Texts generated by large language models, or AI-powered chatbots, exhibit characteristic “personality” traits. Such chatbots can also identify individual personality traits in texts. However, humans are more reliable at distinguishing between human-written and AI-generated texts, according to researchers at the Institute of Psychology at Johannes Gutenberg University Mainz (JGU).Texts generated by large language models, or AI-powered chatbots, exhibit characteristic “personality” traits. Such chatbots can also identify individual personality traits in texts. However, humans are more reliable at distinguishing between human-written and AI-generated texts, according to researchers at the Institute of Psychology at Johannes Gutenberg University Mainz (JGU).[#item_full_content]

A McGill-led research team has developed a bacteria-based biocomputer that can solve large, complex problems using a small fraction of the memory and resources required by standard (“solid-state”) computers. Possible applications include encryption, molecular biology and artificial intelligence, the researchers said.A McGill-led research team has developed a bacteria-based biocomputer that can solve large, complex problems using a small fraction of the memory and resources required by standard (“solid-state”) computers. Possible applications include encryption, molecular biology and artificial intelligence, the researchers said.[#item_full_content]

Can AI fine-tuning that once took 10 hours be completed in just three hours? KAIST researchers have developed a technology that selects the most useful training data and distributes it evenly across multiple GPUs.Can AI fine-tuning that once took 10 hours be completed in just three hours? KAIST researchers have developed a technology that selects the most useful training data and distributes it evenly across multiple GPUs.[#item_full_content]

If you have ever used an artificial intelligence text-to-image generator like ChatGPT or Google Gemini, you may have encountered a common but maddening problem: The image looks nearly perfect, but when you ask the AI to fix one small detail, it messes up something unrelated.If you have ever used an artificial intelligence text-to-image generator like ChatGPT or Google Gemini, you may have encountered a common but maddening problem: The image looks nearly perfect, but when you ask the AI to fix one small detail, it messes up something unrelated.[#item_full_content]