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News

BIOENGINEER.ORG
bioengineer.org > multi-task-framework-fuses-infrared-and-visible-images-for-better-semantics

Multi-task framework fuses infrared and visible images for better semantics

2+ day, 45+ min ago   (98+ words) In a development that could reshape how machines see in the dark, a team of researchers at Jiangxi University of Science and Technology in Nanchang, China, has unveiled a new artificial intelligence framework that fuses infrared and visible-light images while…...

BIOENGINEER.ORG
bioengineer.org > adaptive-fisher-dictionary-learning-tailored-to-category-specific-dictionaries

Adaptive Fisher dictionary learning tailored to category-specific

2+ day, 52+ min ago   (55+ words) A team of machine learning researchers in China has unveiled a new supervised dictionary learning model that promises faster image classification in scenarios where training data is scarce, a persistent challenge in fields ranging from medical imaging to face recognition....

Forbes
forbes.com > councils > forbestechcouncil > 09/09/2026 > how-do-you-prove-that-2-billion-de-identified-patient-notes-are-anonymous

How Do You Prove That De-Identified Patient Notes Are Anonymous?

3+ day, 15+ hour ago   (518+ words) David Talby, PhD, MBA, CEO at John Snow Labs. Solving real-world problems in healthcare, life sciences and related fields with AI. Every healthcare organization’s AI strategy runs on the same fuel: clinical data. The diagnoses, treatment responses and family histories…...

Google News
eurekalert.org > news-releases > 1142069

Diffusional magnetic resonance imaging anonymizing with variational autoencoder

1+ week, 5+ day ago   (339+ words) EurekAlert! The proposed lesion-aware anonymization framework. Lesion and non-lesion regions are encoded separately; latent diffusion generates new non-lesion representations conditioned on class, lesion mask, and slice depth; the representations are fused and decoded into an anonymized brain MRI. Credit: HIGHER…...

Hackaday
hackaday.com > 08/25/2026 > artificial-intelligence-as-it-once-was

Artificial Intelligence As It Once Was

2+ week, 5+ day ago   (214+ words) Hackaday One day, people will look back at what we call Artificial Intelligence and laugh We do the same thing today, as chat bots totally outstrip what the computer industry called AI up until pretty recently This didn’t escape…...

Medium
medium.com > @spamuraigirl > nicole-junkermann-on-what-synthetic-data-is-actually-for-22d94753b66c

Nicole Junkermann on What Synthetic Data Is Actually For

3+ week, 5+ day ago   (268+ words) Most conversations about synthetic data start in the wrong place. They start with the question of whether it is as good as real data, which is …...

mdpi.com
mdpi.com > 2076-16/16/3417 > 8115

Applied Sciences, Vol. 16, Pages 8115: A U-Net-Based Hybrid Network with Large-Kernel Convolution and Spatially Reduced Self-Attention for Structural Plane Segmentation in Tunnel-Face Images

4+ week, 1+ day ago   (458+ words) The structural planes exposed on tunnel faces reflect the integrity and geological conditions of surrounding rock, and their accurate segmentation is important for geological logging and surrounding rock assessment. However, these targets are typically slender, discontinuous, and low-contrast, and are…...

Medium
medium.com > @nirmal120207 > how-does-a-machine-actually-learn-understanding-the-core-of-machine-learning-139e77e96b4e

🧠 How Does a Machine Actually Learn? Understanding the Core of Machine Learning

1+ mon, 5+ day ago   (791+ words) “Machine Learning isn’t about machines becoming intelligent overnight — it’s about learning patterns from data to make better predictions.” One of the biggest misconceptions about Machine Learning is that computers somehow “think” or “understand” like humans. A machine doesn’t learn by…...

Medium
medium.com > @whisnuys > i-thought-machine-learning-was-about-models-i-was-wrong-39ff56d28db6

I Thought Machine Learning Was About Models. I Was Wrong

1+ mon, 5+ day ago   (1366+ words) What building a real ML feature taught me about data, deployment, and the engineering behind the model. When I first started learning …...

mdpi.com
mdpi.com > 2076-16/16/3417 > 7866

Applied Sciences, Vol. 16, Pages 7866: Predicting Furnace Tube Rupture Using Multiclass Decision Forest with Explainable Risk-Based Lead-Time Classification

1+ mon, 5+ day ago   (418+ words) Furnace tube rupture is a critical safety and reliability issue in high-temperature industrial systems, often leading to unplanned shutdowns, severe economic losses, and safety incidents. Conventional monitoring approaches based on threshold alarms and single-variable diagnostics are frequently inadequate for detecting…...