BBC will use machine learning to cater to what audiences want to watch

by Larra Morris

Today, BBC’s R&D team announced a five-year initiative to use machine learning to work out what audiences want to watch. To accomplish this, the team is partnering up with data scientists and experts from UK universities as well as media and tech companies based in Europe and internationally.

The Data Science Research partnership intends to create “a more personal BBC” that can entertain in new ways. Researchers will analyze user data and apply algorithms to get marketing and media insights about audiences’ preferences.

Photo by Carl Court/Getty Images

Quickly and accurately identify inter-domain leakage issues in IC designs

Sponsored by Siemens Digital Industries Software

Power domain leakage is a major IC reliability issue, often missed by traditional tools. This white paper describes challenges of identifying leakage, types of false results, and presents Siemens EDA’s Insight Analyzer. The tool proactively finds true leakage paths, filters out false positives, and helps circuit designers quickly fix risks—enabling more robust, reliable chip designs. With detailed, context-aware analysis, designers save time and improve silicon quality.

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featured chalk talk

CBOT MULTIGIG Transceiver Platform

Sponsored by Mouser Electronics and TE Connectivity

In this episode of Chalk Talk, Anders Thelin from TE Connectivity and Amelia Dalton explore how the CBOT MULTIGIG transceiver platform helps address these challenges with a modular, high-performance approach to rugged, high-density connectivity. We also investigate how this platform supports next-generation system architectures, improves design efficiency, and enables robust performance in even the most demanding environments.

Click here for more information about the TE Connectivity CBOT Evaluation Kit

May 18, 2026

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BBC will use machine learning to cater to what audiences want to watch

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