Quantum machine learning nears practicality as partial error correction reduces hardware demands

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

Using AI To Predict And Prevent Weather Catastrophe Home Insurance Claims

With climate change driving the frequency and severity of extreme weather, traditional models that supported risk assessment are struggling.
GitHub

Imprecise Probabilistic Machine Learning

“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...
Science Daily

Scientists may have found how to reverse memory loss in aging brains

Virginia Tech researchers have shown that memory loss in aging may be reversible. Using CRISPR tools, they corrected molecular disruptions in the hippocampus and amygdala, restoring memory in older ...
Frontiers

Analysis of the association between dietary sodium intake and cognitive function: a NHANES-based machine learning study and animal experimental validation

Background: Sodium intake is undoubtedly essential for normal bodily function, but it is an important public health concern when intake exceeds dietary requirements. With salt intake exceeding ...
The New York Times

Learning to Live With Vision Loss

Re “Losing My Vision and Seeing Life Anew,” by Dani Shapiro (Opinion guest essay, Aug. 10): Thank you, Dani Shapiro, for your delightful article on seeing the world in a blurred fashion. I, too, have ...
IEEE

Unveiling the Role of Weighted Loss Functions in Deep Learning-Based Nowcasting of Extreme Rainfall Events

Abstract: Nowcasting plays a crucial role in responding to disasters such as flash floods by predicting rainfall in real time. However, existing nowcasting models struggle to accurately predict ...
Security

Sensormatic Solutions adds Machine Learning to Shrink Analyzer

Sensormatic Solutions, the global retail solutions portfolio of Johnson Controls (JCI), continues to improve the capabilities of its cloud-based loss prevention (LP) application, Shrink Analyzer. The ...
Hosted on MSN

Linear Regression Cost Function | Machine Learning | Explained Simply

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...
IEEE

Adaptive Separately Constrained Triplet Loss (A-SCTL) for High-Performance Triplet Networks

Abstract: Triplet Networks (TNs) consist of three subchannels and are widely utilized in machine learning applications. The efficacy of TNs is highly dependent on the loss function employed during ...