Beyond 3-D: Data scientists introduce novel AI tool to interpret complex biological data

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
Governing

What a National Map Reveals About Rural Data Centers

An analysis of projects and local opposition highlights the growing tensions surrounding AI infrastructure in rural ...

Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Tech Xplore

Geospatial upgrade gives TabPFN sharper local predictions on datasets up to 70,000 rows

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
The Daily Yonder

We Mapped Rural Data Center Development – and Opposition. Here’s What We Found

Washington, D.C.’s metropolitan area has long hummed with data centers. The region, which encompasses much of Northern Virginia, has become known as Data ...
Communications of the ACM

Technical Perspective: Synthetic Data Needs a Reproducibility Benchmark

Synthetic data is a vital substitute for real sensitive personal data in supporting social science research and policy ...

Researchers develop new 'emotionally aware' model for classifying mental health conditions

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Arizona astronomers use AI to unlock new secrets of meteors

Astronomers at the Lowell Observatory in Flagstaff are using an innovative AI technique to revolutionize how meteors are categorized.
IEEE

Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout

Abstract: When facing a classification problem, data science practitioners must search through an armory of methods. Often, practitioners are tempted to use off-the-shelf classifiers, including ...
IEEE

Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy

Abstract: Objective: Surgical data science is evolving into a research field that aims to observe everything occurring within and around the treatment process to provide situation-aware data-driven ...
Science Daily

Scientists build a “periodic table” for AI

"We found that many of today's most successful AI methods boil down to a single, simple idea -- compress multiple kinds of data just enough to keep the pieces that truly predict what you need," says ...
Investopedia

Inventory Management: Definition, How It Works, Methods, and Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...