Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...

By Vince ChongSMU Office of Research Governance & Administration – Tightening energy security. Boosting aviation and maritime ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

A peer-reviewed industry survey highlighting gaps in traditional demand forecasting and the role of AI in new product ...

Market growth is driven by ML, deep learning, EHR. The global artificial intelligence (AI) in precision medicine market is ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

New analysis explains why Prosper’s macro forecasts often signal economic shifts weeks or months before prediction ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Oversimplifies trends and ignores real-world disruptions. Can’t predict economic downturns, competitor actions and shifts in customer behavior on its own. Ignores randomness; every forecast will have ...