Acquisition completes MoEngage's vision of an Agentic Customer Engagement Platform. LONDON, June 24, 2026 /PRNewswire/ -- MoEngage, the agentic customer engagement platform truste ...

Abstract: The multi-armed bandit (MAB) problem with concave rewards has indeed become a significant area of research in recent years. In MAB problem, maximizing total rewards within a fixed number of ...

"Our curriculum blends technical mastery with strategic business acumen, equipping you to solve complex challenges and deliver measurable value across industries." Meet our award-winning faculty, ...

Abstract: Assigning bands of the wireless spectrum as resources to users is a common problem in wireless networks. Typically, frequency bands were assumed to be available in a stable manner.

• Problem Formulation: We formally define the new problem of online GPU energy optimization and formulate it as a multi-armed bandit framework, which inherently addresses the exploration & ...

ABSTRACT: Artificial intelligence has permeated all aspects of our lives today. However, to make AI behave like real AI, the critical bottleneck lies in the speed of computing. Quantum computers ...

With the increase of devices in power grids, a critical challenge emerges on how to collect information from massive devices, as well as how to manage these devices. Mobile crowdsensing is a ...

The multi-armed bandit (MAB) problem models a decision-maker that optimizes its actions based on current and acquired new knowledge to maximize its reward. This type of online decision is prominent in ...