AIOps changes this by applying machine learning and advanced analytics. Consequently, the managed NOCs gain context, ...

Abstract: This study proposes a novel dynamic output-feedback (DOF) switched model predictive control strategy to robustly enhance the control performance of discrete-time Markov jump systems (MJS).

Abstract: We provide an algorithm for the simultaneous system identification and model predictive control of nonlinear systems. The algorithm has finite-time near-optimality guarantees and ...

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

Almost everyone agrees that the US air traffic control system is broken. Longstanding staffing shortages. Antiquated technology. And now, air traffic controllers are caught in the middle of a ...

In 2024, almost 70% of all U.S. hospitals were using predictive artificial intelligence, the Assistant Secretary for Technology Policy/Office of the National Coordinator for Health IT revealed in its ...

The Federal Aviation Administration has given the green light for industry to start working on and turning in their proposals for a contract to stand up a new air traffic control system for managing U ...

Quanta Services (NYSE:PWR) said Thursday it agreed to acquire Dynamic Systems, one of the largest mechanical solutions providers in the U.S., for ~$1.35B, consisting of $1.15B in cash and $200M of ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.