Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Communications of the ACM

When Images Fool AI Models

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...
Devdiscourse

AI-powered surveillance may be Africa’s new weapon against malaria resurgence

Explainable AI was particularly valuable in validating the predictions. The Grad-CAM and Class Activation Mapping methods ...
TMCnet

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...
IEEE

Automated Classification of User Exercise Poses in Virtual Reality Using Machine Learning-Based Human Pose Estimation

Abstract: Human Pose Estimation (HPE) using machine learning presents significant potential for objectively analyzing user movements within Virtual Reality (VR) environments, particularly for ...
pv magazine International

Machine learning-based fault detection technique for bifacial PV

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
Medscape

AI Tool Advances Sjögren Disease Classification

A deep-learning artificial intelligence model trained on salivary gland biopsy images shows potential for classifying focus scores and Sjögren disease.

Mapping China's cities at submeter precision

Land use and land cover (LULC) information underpins studies in climate science, disaster management, food security, and ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
ascopubs.org

Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
ABC News

IndyCar says it was unaware of DHS's use of AI-generated image featuring ICE branding

DHS shared the image after announcing an Indiana ICE detention center. IndyCar said they were not aware of the Department of Homeland Security (DHS) plan to release an AI-generated image of an IndyCar ...