Eyam Health and iiDiagnostics (iiDX), a company formed by the Infection Innovation Consortium: iiCON, have launched a ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

A new study suggests humans can sense hidden objects without touching them, by detecting faint movements in sand. This unexpected form of “remote touch” challenges traditional ideas about how the ...

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

With the development of brain-computer interface (BCI) technology, the application of electroencephalography (EEG) signals in motion decoding has been ...

Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect ...

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

A £750,000 international collaboration has been launched to advance next-generation vaccine development, marking the first ...

Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...