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

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Cities are increasingly becoming the epicenter of climate-related risks, with research showing that impervious surfaces (e.g.

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

These new AI assistants can analyze design constraints and create custom machine learning models as well as read, import and ...

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

Severe bleeding is one of the most common and preventable causes of death after traumatic injury, yet currently available tools have poor ability to determine which patients urgently need blood ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...