Page 17: Research news on AI-enabled digital twins

AI-enabled digital twins combine high-fidelity virtual replicas of physical assets with machine learning and sensing technologies to monitor condition, predict failures, and support operational decision-making. Applications span bridges, railways, nuclear reactors, wind turbines, manufacturing equipment, and urban infrastructure, integrating structural health monitoring, non-destructive evaluation, and high-resolution imaging. Data-driven models enable real-time fault diagnosis, risk-informed maintenance, and optimization of performance, often incorporating robotics, remote sensing, and time-series domain adaptation for robust, continuous infrastructure management.

Computer Sciences

Microsoft AI weather forecast faster, cheaper, truer: Study

Microsoft has developed an artificial intelligence (AI) model that beats current forecasting methods in tracking air quality, weather patterns, and climate-addled tropical storms, according to findings published Wednesday.

Business

Using AI to predict survival probabilities of start-up companies

Research published in the International Journal of Data Science has used machine learning to predict the lifecycle of businesses operating in the digital economy. The work might help firms and policymakers understand enterprise ...

Energy & Green Tech

Tool predicts impact of wildfire smoke on solar power generation

From habitats to property to livelihoods, wildfires destroy everything in their path. But there is another, less-acknowledged, casualty: sunlight and the electrical grid that depends on it. Smoke from wildfires can cover ...

Software

AI-powered 'ulrb' uncovers Earth's hidden microbial gems

A team of researchers has created a novel machine learning tool that's cracking open one of biology's trickiest puzzles: finding the rarest microbes on Earth. Think of it like finding a needle in a haystack, except the needle ...

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