Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

AI in Cancer Drug Discovery could prove paradigm shifting, but what challenges does it present? And how can they be avoided?

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Benchmarks drive many areas of research forward, and this is indeed the case for two areas of research that I engage with: ...

Flood modeling in arid environments like Saudi Arabia is constrained by the absence of reliable hydrological datasets and extreme variability in topography. To overcome these limitations, the study ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Rather, reporters I spoke to who worked on these stories primarily used machine learning techniques that preceded the release of ChatGPT and rise of large language models (LLMs). Overall, many of the ...

At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session " Predicting the Future using Azure Machine Learning, ...

(b) Quantum machine learning in augmenting quantum cryptography. The rest of the article explores the fundamental aspects of quantum cryptography, the role of QML in Quantum cryptography, and three ...