Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
Search Engine Land

How Bayesian testing lets Google measure incrementality with $5,000

Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...
GitHub

mohansree14/Bayesian-Deep-Learning-for-Probabilistic-Financial-Forecasting

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
Medical Xpress

Accelerating drug combination discovery with machine learning

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude Children's Research Hospital scientists. Many diseases, including cancers, ...
ascopubs.org

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...
Frontiers

Enhancing disaster prediction with Bayesian deep learning: a robust approach for uncertainty estimation

Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...
Frontiers

Interpretable machine learning approach for TBM tunnel crown convergence prediction with Bayesian optimization

Accurate prediction of crown convergence in Tunnel Boring Machine (TBM) tunnels is critical for ensuring construction safety, optimizing support design, and improving construction efficiency. This ...
GPS World

Machine learning boosts GPS precision: New method enhances ambiguity resolution

No audio available for this content. High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, ...
IEEE

An Improved Sparse Bayesian Learning SAR Tomography Method and its Application for Forest Vertical Structure Inversion

Abstract: Synthetic aperture radar tomography (TomoSAR) is widely used in reconstructing forest vertical structure, but accurately locating both ground and canopy scatterers in dense forest areas ...
TechRepublic

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers explore AI, ...
chromatographyonline

Improving LC Method Development Using Machine Learning

Reinforcement learning was tested as a means of improving liquid chromatography method development. KU Leuven and Vrije Universiteit Brussel researchers led efforts to improve deep reinforcement ...