New conversational experiences, governed AI agents, and semantic intelligence enable broadcasters, streaming services, and content owners to operationalize AI across channel operations ...

Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

Digital video now dominates TV ad spending, shifting marketers' focus from channel selection to targeting, measurement, and ...

Researchers in Spain found that hydraulic storage can be more cost-effective than batteries for photovoltaic irrigation ...

For decades, television advertising was relatively straightforward for quick-service restaurant marketers. Brands bought ...

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form $$ \min \quad \dfrac{1}{2}x^TQx + c^Tx \qquad ...

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

Smart Home Assistant integration for heat pump optimization based on electricity price and temperature. Developed a reinforcement learning framework using Deep Q-Networks (DQN) to optimize scheduling ...

Abstract: Numerical optimization-based solution to directional overcurrent relay (DOCR) coordination problem has been a widely addressed research problem in the recent past. Many linear (LP), ...