An executive came for a career talk and few students showed up. That's not apathy. It's a probability problem — and it's ...

The industry’s approach to advertising yield optimization has shifted from maximizing inventory to managing viewer tolerance as a hard economic limit. Media companies are now treating ad load and ...

Good morning, and welcome to the Omnicell full year 2025 and fourth Quarter Financial Results Conference Call. On the call ...

Today, we will be discussing our business results while making reference to some forward-looking statements and non-GAAP ...

Generative engine optimization (GEO) is the practice of positioning your brand and content so that AI platforms like Google AI Overviews, ChatGPT, and Perplexity cite, recommend, or mention you when ...

CEO Guillermo Novo highlighted that Q2 sales reached $479 million, representing a 17% year-over-year decline, attributed primarily to portfolio optimization efforts and lower volumes. Adjusted EBITDA ...

Abstract: Black-box optimization (BBO) is a proven approach for solving complex real-world problems, such as hyper-parameter optimization (HPO) in machine learning. HPO often involves expensive ...

Abstract: For the problems of cargo volume prediction and vehicle scheduling in short-distance transportation systems, the particle algorithm is applied to conduct overall optimization. In the ...

Given a heat source of area (A_s) dissipating power (Q), find the distribution of high-conductivity material (e.g., aluminum/copper) within a design domain ( \Omega_s ) to: Objective A: minimize ( ...