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Chungnam National University develops AI model to accelerate defect-based material design

Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, ...

AI model accelerates defect-based material design

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
Frontiers

Deep learning for multitask prediction on thyroid nodule frozen sections

Background: Preoperative ambiguous thyroid nodules often depend on intraoperative frozen sections for surgical planning, but misdiagnosis can occur due to low-quality frozen sections, limited ...
Security Boulevard

NDSS 2025 – A New PPML Paradigm For Quantized Models

Tianpei Lu (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Bingsheng Zhang (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Xiaoyuan ...
IEEE

PCB Defect Detection Using Machine Learning: YOLOv5 and Inception v3 CNN-Based Approach

Abstract: Identification of PCB board defects early in the manufacturing process is crucial, as PCB quality control plays an important role in the electronics manufacturing industry. Defective PCBs ...
IEEE

Transformer-Based Machine Learning Model for Power Plane Defect Localization and Higher-Order Electromagnetic Behavior Analysis in 3D IC Structures

Abstract: This paper demonstrates a transformer-based power plane defect localization model utilizing the electromagnetic return loss behaviors of defective chips. This is the first application of a ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
IEEE

Hybrid CNN–LGBM Model for Planetary Boundary Layer Height Estimation Combined With Temporal–Height–Spatial Features

Abstract: The planetary boundary layer (PBL) height (PBLH), as a critical meteorological parameter, plays a pivotal role in atmospheric dynamics, climate, and pollution diffusion studies. A radar wind ...