Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

Artificial intelligence is transforming how we live and work, from personalized recommendations to health care innovation.

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Wildfires are becoming more frequent and more intense worldwide. Fires often become infernos because of heat, drought and wind, especially in the summer. The problem is compounded by the climate ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, announced that they are researching the use of neural ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...