MIT Technology Review

All together now: the most trustworthy covid-19 model is an ensemble

Combining a multitude of predictions and projections, modeling teams hone the uncertainty. Earlier this spring, a paper studying covid forecasting appeared on the medRxiv preprint server with an ...
Tech Xplore

New ensemble AI model enhances cyber intrusion detection with high accuracy

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...
ascopubs.org

Leveraging cfDNA fragmentomic features in a stacked ensemble model for early detection of esophageal squamous cell carcinoma.

Real-world data in Japan for the variants in homologous recombination gene on the etiology of gastric cancer in younger and older patients. This is an ASCO Meeting Abstract from the 2024 ASCO Annual ...
Yahoo Finance

Modulate Unveils the Ensemble Listening Model (ELM), a fundamentally new AI architecture optimized for accuracy, transparency, and cost

BOSTON, Jan. 20, 2026 (GLOBE NEWSWIRE) -- Modulate, the frontier conversational voice intelligence company, announced today new breakthrough research: the Ensemble Listening Model (ELM), a new ...
Science Daily

Development of an ensemble model to anticipate short-term COVID-19 hospital demand

Scientists identified the most relevant predictive variables for anticipating hospital demand and proposed using an ensemble model based on the average of the predictions of several individual models.
ascopubs.org

Deep learning-based ensemble model using hematoxylin and eosin (H&E) whole slide images (WSIs) for the prediction of MET mutations in non-small cell lung cancer (NSCLC).

Explainable AI and machine learning algorithms to predict treatment failures for patients with cancer. This is an ASCO Meeting Abstract from the 2023 ASCO Annual Meeting I. This abstract does not ...
Devdiscourse

IoT and ensemble AI transform congestion prediction in urban bus networks

However, inconsistent travel times and unpredictable congestion continue to undermine service reliability, particularly in ...
Science Daily

UMass Amherst ensemble model most accurate for predicting COVID-19 deaths

The U.S. COVID-19 Forecast Hub, a collaborative research consortium, has generated the most consistently accurate predictions of pandemic deaths at the state and national level, according to a new ...