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IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 8, August 2026

ai, AI (Artificial Intelligence), Artificial Intelligence, IEEE TNNLS, journals, TNNLS

1) Next-Gen Digital Predistortion From Hardware Acceleration of Neural Networks: Trends, Challenges, and FutureAuthor(s): M. T. Khan, Y. Ding, G. GoussetisPages: 3503 – 3523 2) A Survey on Learning Motion Planning and Control for Mobile Robots: Toward Embodied IntelligenceAuthor(s): M. Wang, Y. Niu, B. Wang, W. Zhang, C. WangPages: 3524 – 3544 3) PosFormer: Generalizable Indoor Positioning via Global–Local

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Big shake-up in Google’s AI team as DeepMind chief executive steps down

ai, AI (Artificial Intelligence), Alphabet, Artificial Intelligence, Business, Computing, DeepMind, Google, OpenAI, Technology

Two senior engineers are leaving company to launch startup amid fears Google is falling behind in AI raceSir Demis Hassabis is stepping down as chief executive of Google DeepMind, in a leadership overhaul of the UK-based AI research lab.Hassabis, a Nobel prize recipient, is leaving his main managerial role to become chair of DeepMind –

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End-to-End Bayesian Marketing Mix Modeling with Google Meridian: Media Measurement, ROI Analysis, and Budget Optimization

ai, AI (Artificial Intelligence), AI Infrastructure, Applications, Artificial Intelligence, Editors Pick, Staff, Technology, Tutorials

In this tutorial, we build a complete Bayesian marketing mix modeling workflow using Google Meridian. We begin by installing the required libraries, verifying GPU availability, and exploring a geo-level marketing dataset that includes media impressions, spend, controls, promotions, conversions, population, and revenue. We then map the raw columns to Meridian’s data schema, define interpretable ROI-based

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