Pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients

When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
The Daily Pennsylvanian

From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
CoinDesk

Prediction Markets Are Quietly Turning Into a New Asset Class, Citizens Says

Prediction markets are quickly shifting from a niche sideline to an emerging asset class, with monthly volumes around $10 billion, said U.S. bank Citizens. Though tiny next to the more than $10 ...
9to5Mac

Researchers used 3 million days of Apple Watch data to train a disease-detection AI

While Yann LeCun was still Meta’s Chief AI Scientist, he proposed the Joint-Embedding Predictive Architecture, or JEPA, which essentially teaches an AI to infer the meaning of missing data rather than ...
Frontiers

Machine learning-based prediction model for teicoplanin plasma concentrations in adults with liver disease using real-world data

Objective: To construct a prediction model for teicoplanin (TEIC) plasma concentrations through machine learning and deep learning techniques in patients with liver disease using real-world clinical ...
Investopedia

Prediction-Markets Data Is On CNN Now. Expect to See It Just About Everywhere Soon

Kalshi's latest deal follows other partnerships including with Google Finance, the National Hockey League, and Robinhood. Other prediction markets, and those interested in developing them have inked ...
The Motley Fool

Prediction: The Data Center Boom Is Just Starting, Making AMD a Long-Term AI Power Player

While sometimes overlooked, AMD has a big AI opportunity in front of it. Its partnership with OpenAI should be a big growth driver, while other opportunities are also emerging. The company has laid ...
C&EN

PHYSPROPNET: A Benchmarking Study of Machine Learning Models for Physicochemical Property Prediction in Data-Limited Environmental Research

Machine learning is increasingly applied in environmental chemistry for contaminant screening and property prediction, yet consistent benchmarks are lacking. We compared eight graph neural networks ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
VentureBeat

AI coding transforms data engineering: How dltHub's open-source Python library helps developers create data pipelines for AI in minutes

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...
IEEE

Enhancing Market Success Prediction with Python-Based Machine Learning: A Case Study of Company Performance Analysis

Abstract: It is crucial to understand the several factors that contribute to a company's performance in the market in today's data-driven decision-making modern day. This study explores the ...