acm.org10d
Advanced Machine Learning Algorithms for HR Analytics
Implementing machine learning in HR requires strategic alignment between your organizational needs and algorithmic ...
inceptivemind3d
Multimodal machine learning model increases accuracy
Building on previous breakthroughs that showcased a transformer-based language model's capacity to predict adsorption energy ...
Science Daily2d
Researchers reduce bias in AI models while preserving or improving accuracy
Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...
Machine learning reveals a functional network of genes and proteins in human cancer
Large-scale protein and gene profiling have massively expanded the landscape of cancer-associated proteins and gene mutations ...
Revolutionary Machine Learning Technique Detects Breast Cancer At Stage 1a With 98% Accuracy
Researchers at the University of Edinburgh have developed a groundbreaking laser-based screening method powered by machine ...
Optimizing cell culture media using machine learning
Cell culture is a fundamental technology used in several fields, from basic research in life sciences to medical, energy, and ...
Revolutionary Low-Cost Method Identifies Dementia Risk Early for Under $1
Risk detection plays a crucial role in care management and can potentially influence the progression of the disease.
hospitalhealthcare3d
Faster and more accurate stroke care possible via machine learning model for brain scan readings
A machine learning model for analysing brain lesion scans after stroke could mean up to 50% more patients receive appropriate ...
techexplorist3d
Multimodal language and graph learning of adsorption configuration in catalysis
“When it comes to chemical data, by integrating different modalities, we can construct a comprehensive view. Inspired by this ...
News Medical on MSN12d
Behavioral chaos in Alzheimer’s disease mice decoded by machine learning
Researchers use machine learning to identify behavioral disruptions in Alzheimer’s disease mouse models, highlighting a ...