Opioid overdoses continue to take a devastating toll across the United States. According to the U.S. Centers for Disease ...

What’s launching today is Pecan’s “predictive agent,” an autonomous system that can interpret a company’s unique data structure, or “fingerprint,” by breaking down the predictive workflow into ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Ford Pro is leveraging AI and data to shift routine maintenance from when the service shop is open to whenever the vehicle is ...

These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

Coinbase Global Inc. announced Monday that it will acquire a derivatives clearinghouse, The Clearing Company, to boost its entry into the growing prediction markets business. The crypto trading ...

DraftKings Inc. is releasing a new app on Friday that will allow customers to trade contracts on sports and financial events through prediction markets. The app, DraftKings Predictions, will ...

Objective: Acute respiratory distress syndrome (ARDS) is a common complication in patients with non-pulmonary sepsis. Early identification and prediction of the occurrence of ARDS in non-pulmonary ...

The application of machine learning (ML) on IoT data is pivotal for developing intelligent industrial systems. This involves using a sliding window to extract time slices for ML prediction models.