Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

While many advocate that oversight of AI analyses of lab data be handled through CLIA, some stakeholders say that FDA should play a role.

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

"The biggest risk is not taking any risk ... the only strategy that is guaranteed to fail is not taking risks," advised Mark Zuckerberg.Every story has a beginning. Every story has an element of risk.

The Vera C Rubin has started sending out near realtime alerts for transient detections. The alerts are expected to scale up to seven million every night.

Abstract: Wireless Sensor Networks (WSNs) find extensive applications in environmental monitoring, healthcare, and smart cities. Energy efficiency, however, continues to be a significant challenge ...

This year, Neural built on that success with the Quad Cortex mini, which shrinks the device size in half, cuts the ...

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.

Women’s Day is a moment to recognise women who have shaped different fields, including technology and artificial intelligence.