Welcome to the Proof of Usefulness Hackathon spotlight, curated by HackerNoon’s editors to showcase noteworthy tech solutions to real-world problems. Whether you’re a solopreneur, part of an early-stage startup, or a developer building something that truly matters, the Proof of Usefulness Hackathon is your chance to test your product’s utility, get featured on HackerNoon, and

According to a research report published by Spherical Insights & Consulting, The Global Artificial Intelligence Data Center Market Size is projected to Grow from USD 36.32 Billion in 2025 to USD 348.4 Billion by 2035, at a CAGR of 25.37 % during the forecast period 2026–2035. The Rise of Artificial Intelligence Data Centers and Their Role in the Digital Economy

Peter Thorne still regularly thinks about a weekend job he had almost 70 years ago, running a computer the size of a garage. "They needed somebody to turn it on, run the test programs and make sure it worked for people at the weekend," he says. The device Dr Thorne was in charge of —

We’re eight or nine months into the RAM crisis, depending on when you start counting, and it doesn’t look like gaming is going to get more affordable any time soon. Instead, the opposite is happening. Nvidia and AMD have both reportedly raised prices on graphics cards just this week, and the problem isn’t exclusive to

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AI-generated image for representation ​ Massachusetts Institute of Technology (MIT) is reportedly spending more than $3 million to install over 500 AI-powered surveillance cameras across its campus as part of a multi-phase security expansion. While the university says the project is intended to improve campus safety, students have raised concerns over facial recognition capabilities, expanded

What if cancer screening no longer had to look for one cancer at a time? Cancer screening has long followed a one-organ-at-a-time model: mammography for breast cancer, colonoscopy for colorectal cancer, low-dose CT for lung cancer, and cervical testing for cervical cancer. These programs save lives, but they also leave gaps. Many cancers still lack

Summary: Researchers demonstrated that natural language processing (NLP) models analyzing speech patterns in children aged 9 to 13 can predict the onset of mental health disorders six years later more accurately than panels of human clinical experts. The study evaluated audio-recorded clinical interviews from over 200 children discussing stressful life events. Across four distinct NLP