Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

As AI becomes cheaper and more capable, I believe it will weave itself into the fabric of every job description.

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Here's what that shift to AI means for the recruitment process, and how you can ensure your application gets picked from the ...

Abstract: We propose an active weighting algorithm for composite adaptive control to reduce the state and estimate errors while maintaining the estimation quality. Unlike previous studies that ...

AgentEvolver is an end-to-end, self-evolving training framework that unifies self-questioning, self-navigating, and self-attributing into a cohesive system. It empowers agents to autonomously improve ...

Abstract: This paper presents a framework called localized support vector machine (LSVM) for classifying data with nonlinear decision surfaces. Instead of building a sophisticated global model from ...