News

Scientists tackle single-cell data's reliability crisis with new tool 'scICE'
The ability to analyze gene expression at the single-cell level—known as single-cell RNA sequencing (scRNA-seq)—has ...
The Unstructured Data Mandate for AI Success
In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the ...
Newseria BIZNES3d
SynSilico® launches INNOptimizer™ test version - a powerful web-based Bayesian Optimization tool for smarter R&D
INNOptimizer is using latest Bayesian Optimization algorithms and a broad set of analytical tools to guide optimizations with ...
BMJ Evidence-Based Medicine3d
Understanding synthetic data: artificial datasets for real-world evidence
Healthcare delivery is being transformed by the rapid growth of data, advancements in artificial intelligence (AI) and other ...
IEEE4d
Stock Movement Prediction with Social Sentiments and Interactional Data: Integrating NLP and Bayesian Frameworks - IEEE Xplore
Stock movement prediction has been a challenging and relevant task for both conventional machine learning and deep learning methods. Multiple approaches have been developed in the literature with the ...
IEEE4d
Continual Learning Using Bayesian Neural Networks - IEEE Xplore
Continual learning models allow them to learn and adapt to new changes and tasks over time. However, in continual and sequential learning scenarios, in which the models are trained using different ...
Healthcare Innovation6d
How Advanced Statistical Methods Can Transform Patient Outcomes
Furthermore, nearly 90 percent of office-based physicians now use EHRs, making a wealth of patient data more readily ...