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

  1. Multilingual Idioms in Sentences and Conversations Across High-, Medium-, and Low-Resource Languages

    Researchers have introduced MIDI, a new dataset designed to evaluate how well multilingual NLP models understand idiomatic expressions. This dataset includes idioms in sentence and conversational contexts across high-, medium-, and low-resource languages. Benchmarking current models revealed significant performance degradation in low-resource languages and a general difficulty with literal interpretations, even with conversational context. AI

    IMPACT Highlights limitations in current AI models' understanding of nuanced language, particularly in low-resource settings.

  2. Interview: Unison Energy CEO on Data Centers Turning to On-Site Power

    Data center developers are increasingly turning to on-site power generation, primarily natural gas-based microgrids, as a solution to significant interconnection delays with the main power grid. This shift is driven by the urgent need for reliable electricity to support the rapid expansion of AI infrastructure, with data centers' power consumption expected to more than double in the US by 2028. Unison Energy, an Energy-as-a-Service provider, is capitalizing on this trend by offering behind-the-meter generation systems under long-term contracts, moving on-site power from a workaround to a primary design choice. AI

    Interview: Unison Energy CEO on Data Centers Turning to On-Site Power

    IMPACT Accelerates AI infrastructure build-out by addressing critical power supply bottlenecks caused by grid interconnection delays.

  3. PianoCoRe: Combined and Refined Piano MIDI Dataset

    Researchers have introduced PianoCoRe, a comprehensive and refined dataset of piano MIDI performances and scores. This new dataset combines and improves upon existing open-source corpora, offering over 250,000 performances from 5,625 pieces by 483 composers. PianoCoRe includes tiered subsets for various applications, with a notable note-aligned collection for expressive performance modeling. The project also provides a MIDI quality classifier and an alignment refinement pipeline called RAScoP to enhance data accuracy. AI

    PianoCoRe: Combined and Refined Piano MIDI Dataset

    IMPACT Provides a foundational dataset for advancing research in expressive piano performance modeling and music information retrieval.

  4. # EchoSight : an open-source mobile application and framework for real-time visual-audio sensory substitution https:// eppro02.ativ.me/web/page.php?n av=false&p

    EchoSight is an open-source mobile application designed to provide real-time visual-to-audio sensory substitution. This framework aims to assist individuals, particularly those with blindness, by converting visual information into auditory signals. The project utilizes technologies like YOLOv3 for object detection and MIDI for audio output, and is associated with the ARVO 2026 conference. AI

    # EchoSight : an open-source mobile application and framework for real-time visual-audio sensory substitution https:// eppro02.ativ.me/web/page.php?n av=false&p

    IMPACT Provides a novel sensory substitution tool for accessibility, potentially improving quality of life for visually impaired individuals.

  5. How carbon removal tech is adapting to Trump's energy agenda

    The carbon removal industry is adjusting its messaging to align with the Trump administration's focus on energy dominance rather than climate change. This strategic shift aims to secure continued federal support and funding for projects like those in Louisiana and Texas, which have received renewed approval. Companies are highlighting how carbon removal can bolster energy security and create economic opportunities, even as some local communities express concerns about environmental and safety risks. AI

    How carbon removal tech is adapting to Trump's energy agenda