A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...

Solidigm, a pioneer in enterprise data storage, today announced the launch of the LucetaTM AI Software Suite, a breakthrough AI vision platform that solves the core challenges plaguing traditional ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

Researchers use afterimages to prove the brain predicts eye movements with 94% accuracy, revealing the internal "efference copy" mechanism that keeps our vision stable.

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

The theme for the day is Innovation at Scale, Value that Endures. We spent a lot of time thinking about those 6 words over the last few months. And I hope by the end of the day, they resonate with you ...