News-Medical.Net

Machine learning model may provide an earning warning of preeclampsia in late gestation

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy.

Machine learning can predict preeclampsia by week 34 of pregnancy

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

NewEvol Announces Next-Generation SIEM Built on Dynamic Threat Defense

Operationally Proven Security Operations Platform Consolidates Fragmented Security Stacks, Now Available Across Major ...
Frontiers

Machine Learning and AI-Driven Biomechanics in Orthopedic Surgery

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
The Malaysian Reserve

MicroCloud Hologram Inc. Achieves Breakthrough in Practically Deployable Quantum Recurrent Neural Network (QRNN) Technology Oriented Toward Sequential Learning

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...

Why Al Models Forget & How MIT Fixed It With Knowledge Retention

MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and needs 2.5x compute.
Devdiscourse

AI-driven air quality system promises faster, more reliable urban health warnings

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
IEEE

Sequential Model Predictive Control Applied to Induction Machine Drive Systems Operating Under Single-Phase Open-Circuit Fault

Abstract: This work consists in applying Sequential Model Predictive Control (SMPC) to regulate electromagnetic torque and stator flux in two fault-tolerant squirrel-cage induction machine drive ...
IEEE

Nonlinear Optimal Midcourse Guidance Using Sequential Pseudospectral Model Predictive Control

Abstract: A sequential pseudospectral model predictive control (SPMPC) method is proposed for nonlinear optimal midcourse guidance with a general performance index. First, the optimal midcourse ...