Scientists call it the “cocktail party problem.” To understand the person talking to you in a noisy room, you’ve got to filter out all of the conversations, clinking glass, and other noises in the background. Fortunately, our brains are up to the challenge, and now — thanks to a little help from a humanoid robot — researchers have found new clues to how we do it.
via Wired
 Quickly and accurately identify inter-domain leakage issues in IC designsSponsored 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. |
