Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

Researchers develop AI tool that finds the equations behind complex systems

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Communications of the ACM

Is Recursive Self-Improvement Really Here?

That admission is what some in the field call recursive self-improvement (RSI), the point at which large language models ...

Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Tech Xplore

New computational method combines modern density functional with adaptive algorithm to predict semiconductor properties

Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...
DATAQUESTOpinion

India's semiconductor opportunity lies in AI-native design and sustainable innovation

The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...
IEEE

BE-KNN: An Efficient Extension of k-Nearest Neighbors via Stable and Deterministic Ensemble Learning

Abstract: The k-Nearest Neighbors (KNN) algorithm is widely applied in machine learning due to its simplicity and versatility. However, its reliance on distance calculations leads to scalability ...
EdTech

Schools Set Their Sights on VR Learning Opportunities

Jason Brown is a senior field solutions architect with CDW Government. He specializes in digital experience workspace solutions for higher education customers nationwide. Cari Warnock is the CDW ...
IEEE

Machine Learning Approaches for Loan Default Prediction: A Comparative Analysis of Random Forest and KNN Algorithms

One of the key issues faced by financial institutions is the prediction of loan default. Two machine learning methods, Random Forest and K-Nearest Neighbors (KNN), are tested in this study, using an ...