Most enterprises are trying to layer AI on top of fragmented, inconsistent, poorly governed data environments. In that ...

Existing loss of well control event indicators fall short of predicting events in an accurate and timely manner due to a lack ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

Christine Allen, CEO and Co-Founder of Intrepid Labs, and Andy Lewis, CSO at Quotient Sciences, highlight their strategic ...

Robot legs developed by SUSTech researchers reduce walking effort by 35% and cut foot pressure in half when carrying heavy loads up to 44 pounds.

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new ...

Billionaires such as Rupert Murdoch, Peter Thiel, Elon Musk, and Mark Zuckerberg have consolidated their control over media ...

The integration of AI in concrete design using metakaolin leads to stronger, eco-friendly materials, advancing sustainability ...

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

Enabled Digital Twins in Agriculture,” published in the journal AI , provides a comprehensive scoping review of digital twin ...

Scale-up involves increasing pump sizes, reactor volumes, and flow rates—but the process control logic and system ...