Fertilizers give crops the nitrogen they need, but when too much leaches into rivers it harms fish and plants. Scientists need to know how much nitrogen leaves fields each year to plan better solutions. Because real‑world data are scarce, researchers built a computer model that learns from all
Getting wind energy right is tricky because wind doesn’t blow steadily. Power grids need to balance supply and demand, but wind farms can’t always match that. A new study shows how ocean patterns might help predict wind power better. Instead of just looking at current wind speed, researchers tested
A new study shows that a simple food‑based score, created with machine learning, can flag people at risk for a lung condition called PRISm before it worsens. PRISm is a subtle breathing problem that can grow into serious lung disease, heart trouble, or even lead to early death. Doctors often miss
In busy shipping ports, accidents still happen a lot. A new study looked at why this is so by asking dock workers about their jobs, schooling, age and how safe they feel on the job. The researchers also checked whether safety training made a difference. They collected answers from many port workers
The world of probiotics is growing fast, thanks to new computer tricks and big data tools. Scientists now use machine learning (ML) to sift through huge amounts of biological information, from DNA sequences to the chemicals bacteria produce. This new approach lets them choose promising probiotic str
A new study shows how computer learning can help doctors decide who needs extra treatment after surgery for mouth cancer. The researchers built models that look at many patient details—age, tumor size, and other health factors—to score the risk of cancer coming back. They tested these models on a la
A team of researchers tackled the tricky problem of tracking ammonia gas during the breakdown of sewage sludge. Ammonia levels swing wildly because many factors—time, airflow, acidity, and the amount of organic material—interact in complicated ways. Traditional statistics struggle to untangle these
Machine learning has changed how we predict weather and decode proteins, but scientists who study the ocean still face a problem: most models act like black boxes that give answers without explaining why. A new idea tackles this issue by using a technique called symbolic regression, which searche
The world of science is full of information. But much of it is stuck in words, not numbers. This makes it hard to find new things. A new way to solve this problem has been created. It uses AI to read and understand science words. Then, it turns them into useful data. This new method is like a detec
The ocean floor is a mystery. We have lots of pictures, but making sense of them is hard. People usually do this by hand. It takes a long time and costs a lot. But there's a new tool called Squidle+. It's changing the game. Squidle+ uses something called machine learning. This is like teaching a co
