It won’t be easy for Big Tech companies to win the hearts and minds of Americans who are angered about massive artificial intelligence data centers sprouting up in their neighborhoods, straining electricity grids and drawing on local reservoirs.It won’t be easy for Big Tech companies to win the hearts and minds of Americans who are angered about massive artificial intelligence data centers sprouting up in their neighborhoods, straining electricity grids and drawing on local reservoirs.Business[#item_full_content]
Aran Nayebi jokes that his robot vacuum has a bigger brain than his two cats. But while the vacuum can only follow a preset path, Zoe and Shira leap, play and investigate the house with real autonomy.Aran Nayebi jokes that his robot vacuum has a bigger brain than his two cats. But while the vacuum can only follow a preset path, Zoe and Shira leap, play and investigate the house with real autonomy.Hi Tech & Innovation[#item_full_content]
Defense Secretary Pete Hegseth said Monday that Elon Musk’s artificial intelligence chatbot Grok will join Google’s generative AI engine in operating inside the Pentagon network, as part of a broader push to feed as much of the military’s data as possible into the developing technology.Defense Secretary Pete Hegseth said Monday that Elon Musk’s artificial intelligence chatbot Grok will join Google’s generative AI engine in operating inside the Pentagon network, as part of a broader push to feed as much of the military’s data as possible into the developing technology.Business[#item_full_content]
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but many systems struggle when real-world data do not match ideal conditions. Measurements collected from different instruments, experiments or simulations often vary widely in resolution, noise and reliability. Traditional machine-learning models typically assume those differences are negligible—an assumption that can limit accuracy and trustworthiness.Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but many systems struggle when real-world data do not match ideal conditions. Measurements collected from different instruments, experiments or simulations often vary widely in resolution, noise and reliability. Traditional machine-learning models typically assume those differences are negligible—an assumption that can limit accuracy and trustworthiness.[#item_full_content]
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but many systems struggle when real-world data do not match ideal conditions. Measurements collected from different instruments, experiments or simulations often vary widely in resolution, noise and reliability. Traditional machine-learning models typically assume those differences are negligible—an assumption that can limit accuracy and trustworthiness.Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but many systems struggle when real-world data do not match ideal conditions. Measurements collected from different instruments, experiments or simulations often vary widely in resolution, noise and reliability. Traditional machine-learning models typically assume those differences are negligible—an assumption that can limit accuracy and trustworthiness.Computer Sciences[#item_full_content]
X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer chips and advanced battery materials, without performing anything invasive. It’s the same basic method behind medical CT scans.X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer chips and advanced battery materials, without performing anything invasive. It’s the same basic method behind medical CT scans.Engineering[#item_full_content]
Think, know, understand, remember. These are just a few of the mental verbs we use every day to describe what happens in a person’s mind. But when using these same words to talk about artificial intelligence, we can unintentionally make AI sound human.Think, know, understand, remember. These are just a few of the mental verbs we use every day to describe what happens in a person’s mind. But when using these same words to talk about artificial intelligence, we can unintentionally make AI sound human.Machine learning & AI[#item_full_content]
The sheen of satin, the subtle glints of twill, the translucence of sheer silk: Fabric has long been difficult to render digitally because of the myriad ways different yarns can be woven or knitted together.The sheen of satin, the subtle glints of twill, the translucence of sheer silk: Fabric has long been difficult to render digitally because of the myriad ways different yarns can be woven or knitted together.[#item_full_content]
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models will exceed $1 billion by 2027. Costs are incurred through hardware, including large data centers, energy needs and salaries for research and development staff. The massive training price tag limits the labs and researchers that can afford to work with this technology.Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models will exceed $1 billion by 2027. Costs are incurred through hardware, including large data centers, energy needs and salaries for research and development staff. The massive training price tag limits the labs and researchers that can afford to work with this technology.Machine learning & AI[#item_full_content]
Tech giants Apple and Google announced Monday a multi-year partnership that will see Apple’s next-generation artificial intelligence features, including its Siri chatbot, powered by Google’s Gemini technology.Tech giants Apple and Google announced Monday a multi-year partnership that will see Apple’s next-generation artificial intelligence features, including its Siri chatbot, powered by Google’s Gemini technology.Consumer & Gadgets[#item_full_content]
