How do we trust AI? Know how blockchain ensures AI data integrity, prevents data poisoning, and creates immutable audit trails for machine learning models.

Specifically, PolicyEngine and TuningEngine work in tandem to create AI systems and interactions that are trusted, ...

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...

Abstract: Sports data analysis has become an essential aspect of modern sports management, leveraging machine learning (ML) techniques to gain valuable insights into team and player performance. This ...

Azul filed for Chapter 11 in May 2025 and exited the process on schedule on Feb. 20, after securing $850 million in new investments, including $100 million from United Airlines and a $100 million ...

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and soil samples.

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

LillyPod, which occupies 30,000 square feet in a room the size of a football field, is capable of crunching massive amounts of data at high speeds and is expected to help the Lilly discover and ...

Scientists at Rice University have produced the first full, dye-free molecular atlas of an Alzheimer’s brain. By combining ...

Discover how AI is transforming nutritional science by turning complex diet and omics data into predictive tools that reshape chronic disease prevention and personalized care.

“Tooth agenesis, a congenital condition characterized by the absence of one or more teeth, is among the most common and ...