An inventor who made foundational contributions to three key ways we move data through complex systems is developing a new type of neuromorphic chip to accelerate AI applications. Rather than try to ...

The Process Intelligence Graph, according to Celonis, provides enterprises with control and governance of their core enterprise data. This means less uncertainty when feeding AI models with data.

Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

A system-engineering approach is essential for an efficient design in a complex system. Comprehension of conflicting requirements of participating subsystems and integrated designs are key elements ...

Examines the disciplined process of designing a complex system to meet a specified customer need. We begin with identifying the needed capability through operational and functional analysis, then ...

Examines the disciplined process of designing a complex system to meet a specified customer need. We begin with identifying the needed capability through operational and functional analysis, then ...