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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. RESEARCH · arXiv stat.ML English(EN) · · [2 sources]

    Learning in Position-Aware Multinomial Logit Bandits: From Multiplicative to General Position Effects

    Researchers have developed new algorithms for optimizing product assortment and display position under a Multinomial Logit choice framework. These algorithms address both multiplicative and general position effects models, aiming to improve decision-making on modern platforms. The proposed methods, P2MLE-UCB and GP2-UCB, achieve regret-optimal characterizations and outperform existing benchmarks in numerical experiments. AI

    Learning in Position-Aware Multinomial Logit Bandits: From Multiplicative to General Position Effects

    IMPACT Introduces novel algorithms for optimizing product selection and positioning, potentially improving recommendation systems and e-commerce platforms.

  2. SIGNIFICANT · The Verge — AI Français(FR) · · [18 sources]

    Google’s AI future demands trust — and your personal data

    Google is expanding its AI capabilities with new tools like Gemini Spark and Pics, aiming to integrate deeply into users' digital lives. Gemini Spark acts as an always-on agent, organizing events and managing personal data across Google services and third-party apps, while Pics offers AI-powered design and image generation within Google Workspace. These advancements, however, raise significant privacy concerns as they rely heavily on user data, prompting questions about trust and data boundaries. AI

    Google’s AI future demands trust — and your personal data

    IMPACT Google's integration of AI agents and design tools into its ecosystem could significantly alter user interaction with personal data and digital content creation.