In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Last June, the FDA signaled how far that integration has progressed when it announced the use of Elsa, a generative AI tool, to support aspects of the drug approval process. While regulatory adoption ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

A NASA satellite is now detecting air pollution with unprecedented accuracy and could transform public health.

In today’s data driven world businesses turn to modern data architectures to harness data, drive innovation and stay a ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Google has launched TorchTPU, an engineering stack enabling PyTorch workloads to run natively on TPU infrastructure for ...

This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world.Artificial ...

Sonorus isn't the only organisation working to detect heart disease via AI sound analysis. Studies on AI-enabled stethoscopes ...

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...

The Development of the American Economy (DAE) program was one of the first research programs launched by Martin Feldstein in 1978 when he formalized the modern structure of the NBER. The mission of ...

For AI success, organizations must align strategy, governance and talent across the organization; building trust, breaking ...