Building the technology is one challenge, but understanding why it matters and how to apply it to construction is another.​ ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

Houston has been tied to human spaceflight for decades. Now, the city’s companies are chasing something that’s less romantic but more lucrative: harnessing the flood of data collected in space.

One of the most complex areas for sell-side execution desks today is dealing with client algorithms, according to the Acuiti’s Q3 Sell-Side Execution Management Insight Report. According to the ...

Abstract: The exploitation of fuzzy techniques in machine learning for modelling uncertainty is highly versatile and widespread. In addition to providing a suitable fuzzy algorithm, its hardware ...

A private, state-linked Chinese space company, accused by U.S. officials of helping Yemen’s Houthi rebels by providing satellite imagery used to target U.S. and international vessels in the Red Sea, ...

A C++ software framework for implementing machine learning models that can operate reliably in radiation environments, such as space. This framework is meant to extend fault tolerance to machine ...

Tesla is facing a new scandal that once again sees the electric automaker accused of misleading customers. In the past, it has been caught making “misleading statements” about the safety of its ...