Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

The study was published in the June 2025 issue of American Journal of Ophthalmology; researchers conducted a retrospective ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Ishu Anand Jaiswal spearheaded a remarkably successful AI-driven financial intelligence platform at a prestigious financial ...

Risks of relying too heavily on AI for software development include bias in the data used to train models, cybersecurity ...

AI requires a lot of data, particularly for training models. The problem is that planar chips are unable to process all that ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

Tim Ensor, Head of Intelligent Services at Cambridge Consultants, weighs in on the challenges and best practices for turning ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

On Wednesday, predictive analytics firm Recentive filed a combined petition for panel rehearing and rehearing en banc with the U.S. Court of Appeals for the Federal Circuit challenging that court’s ...

Coffey does concede that an app or AI can help owners recognize when their cat is hungry or wants attention, but he still ...