New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals.

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, ...

Researchers at CHEO have enlisted artificial intelligence to help with a difficult problem: the high number of children and ...

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

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.

As Hillary Clinton fields Epstein questions behind closed doors, the War Department leans on Silicon Valley to loosen AI ...

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 ...