As enterprise AI initiatives expand, many organizations are finding that tools and pilot programs alone do not create durable ...

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...

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.

Epshtein argues that a deeper understanding of generalization and principled use of prior knowledge are essential to building ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

Financial firms that combine AI, data infrastructure, and responsible governance will lead the next era of fintech innovation and customer experience.

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

He used his experience in machine data to help his rescue dog.

NVIDIA Announces Open Physical AI Data Factory Blueprint to Accelerate Robotics, Vision AI Agents and Autonomous Vehicle ...

From user devices to base stations to the network core, AI will be written into all aspects of 6G. Combining that with Integrated Sensing and Communications should give 6G capabilities not found in ...

Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare machine learning systems, explainability techniques may highlight factors ...