Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Chinese company Zhipu AI has trained image generation model entirely on Huawei processors, demonstrating that Chinese firms ...

Traditional water management approaches are increasingly unfit for modern pressures. Periodic manual measurements, delayed ...

Fast Company Executive Board member Deepti Kunupudi shares best practices for fairness, transparency, accountability, and privacy in AI.

Healthcare is a complex socio-technical system, not a purely technical environment. Clinical decisions are shaped not only by ...

All-optical image processing has been viewed as a promising technique for its high computation speed and low power ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...

If downstream players engage in targeted investment, innovation and long-term supply commitments, they can reshape the copper ...