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

  1. COMMENTARY · Forbes — Innovation English(EN) ·

    Sunday’s Summer Solstice 2026: Events And Exact Times Near You

    The summer solstice of 2026 will occur on Sunday, June 21st, at 4:24 a.m. EDT, marking the longest day of the year in the Northern Hemisphere. Daylight hours will vary significantly across North America, with northern regions like Alaska and Canada experiencing nearly 20 hours of sunlight, while areas closer to the equator will have around 14-15 hours. Various events and museum programs are scheduled across the continent to celebrate this astronomical event, which is caused by Earth's axial tilt. AI

    Sunday’s Summer Solstice 2026: Events And Exact Times Near You
  2. MEME · SCMP — Tech English(EN) ·

    Norway arrests Chinese man for spying, interior security service says

    Norwegian authorities have arrested a Chinese national in the country's north on suspicion of espionage. The arrest occurred on Friday, and the individual is being held in custody for four weeks while investigations proceed. This incident follows the recent apprehension of a Chinese woman in Norway, also suspected of spying, specifically related to satellite data. AI

    Norway arrests Chinese man for spying, interior security service says
  3. TOOL · arXiv cs.LG English(EN) ·

    Robust Parameter Learning for Uncertain MDPs

    Researchers have developed a new method for learning models of Markov decision processes (MDPs) that accounts for dependencies between transition probabilities. This approach uses parametric MDPs (pMDPs) to represent transition probabilities as functions of shared parameters, allowing for more accurate uncertainty quantification. The proposed technique projects statistical uncertainty onto the parameter space, creating a probably approximately correct (PAC) uncertainty model that respects algebraic dependencies, leading to tighter uncertainty estimates compared to traditional methods. AI

    Robust Parameter Learning for Uncertain MDPs

    IMPACT Introduces a more robust method for modeling uncertainty in decision-making processes, potentially improving reinforcement learning agents.