Abstract: Telemetry data generated by distributed systems, such as cloud infrastructure and loT networks, is growing exponentially, leading to significant storage and processing costs. Traditional ...

Beamr's content-adaptive video compression technology offers 20%-50% storage and networking savings for autonomous vehicle companies grappling with terabytes of daily video data production without ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...

Abstract: This study delves into the distributed linear quadratic tracking (LQT) problem within interconnected multimachine power systems (IMMPSs), and proposes a model-free policy iteration (PI) ...