Synaptics Introduces SYN765x, an Industry-Leading AI-Native Wi-Fi® 7 Solution for Integrated IoT Edge Applications

Synaptics® Incorporated (Nasdaq: SYNA) today announced the SYN765x, an AI-native wireless solution that redefines Edge intelligence. As an industry-leading single-chip device combining AI-optimized ...
Scientific American

AI techniques speed up forensic analysis of crucial crime scene larvae

A mass of writhing maggots on a decomposing murder victim is not a sight for the squeamish, but for some, it is evidence. A maggot’s age and species can give essential information to forensic ...
Devdiscourse

Next-gen AI biosensors promise faster, smarter pandemic surveillance

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
Devdiscourse

Big Data and AI propel geoscience into new digital era

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...
The Manila Times

Qifeng Hu streamlines Intelligent Tax Data Management and Anti-Fraud Technology Through Statewide System Implementation and Federal-State Integration

An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud detection in digital environments. By combining machine ...
IEEE

AFFS: Adaptive Fast Frequency Selection Algorithm for Deep Learning Feature Extraction

Abstract: As deep learning (DL) continues to advance, effective feature extraction from large-scale data remains crucial for enhancing model performance. To leverage the advantages of the frequency ...
ahajournals.org

Abstract 4340723: Comparative Study of Coronary Artery Disease (CAD) Prediction: Conventional QRISK3 vs. Enhanced Machine Learning Models Combined with Particle Swarm ...

Background: Coronary Artery Disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early detection is essential for the primary prevention of CAD. QRISK3 is known ...
IEEE

Designing Machine Learning Algorithms for Feature Extraction and Classification in Dengue Diagnosis

Abstract: In modern healthcare, predicting diseases and identifying their underlying causes are crucial areas of study. This paper proposes a novel feature selection method based on entropy scores and ...