Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

The landscape of emergency management is continually evolving, and the ability to predict and respond to airborne hazards in ...

Modern computer modeling software programs, such as PIPE-FLO, are powerful tools proven to identify the entire system operation and determine the best and safest design solution. November 12, 2021 ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...