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ENTITY École Normale Supérieure

École Normale Supérieure

PulseAugur coverage of École Normale Supérieure — every cluster mentioning École Normale Supérieure across labs, papers, and developer communities, ranked by signal.

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Total · 30d
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7 over 90d
Releases · 30d
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0 over 90d
Papers · 30d
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4 over 90d
TIER MIX · 90D
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SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 7 TOTAL
  1. COMMENTARY · CL_151381 ·

    AI advice reduces human accuracy and critical thinking, study finds · 8 sources tracked

    A recent study indicates that relying on AI advice significantly diminishes human critical thinking and accuracy while boosting confidence. Researchers found that participants given AI assistance were three times less a…

  2. COMMENTARY · CL_142304 ·

    AI learning efficiency and 'personality' become focus areas

    Researchers are exploring new approaches to AI development by studying how babies learn, as current models struggle with efficiency and understanding the physical world. A new challenge, EgoBabyVLM, tests vision-languag…

  3. RESEARCH · CL_111563 ·

    New Error-Conditioned Neural Solvers Improve PDE Accuracy

    Researchers have developed Error-Conditioned Neural Solvers (ENS), a novel approach to solving partial differential equations (PDEs) that improves accuracy and efficiency. Unlike previous methods that rely on statistica…

  4. COMMENTARY · CL_69116 ·

    ENS and ITEM Organize Humanities and Tech Event

    The Observatoire des Humanités numériques at ENS, in collaboration with the Institut des textes et manuscrits modernes (ITEM/CNRS-ENS), is organizing an event for technology enthusiasts. This event aims to bring togethe…

  5. RESEARCH · CL_10209 ·

    New RAGC model offers efficient traffic forecasting on large road networks

    Researchers have developed a new method called Regularized Adaptive Graph Convolution (RAGC) to improve the efficiency of traffic forecasting on large road networks. The model utilizes an Efficient Cosine Operator (ECO)…

  6. RESEARCH · CL_08676 ·

    Mamba backbone powers new efficient neural combinatorial optimization framework

    Researchers have developed ECO, an efficient framework for Neural Combinatorial Optimization that utilizes a Mamba backbone. This approach separates trajectory generation from gradient updates, employing a supervised wa…

  7. COMMENTARY · CL_04835 ·

    AI researchers debate whether AGI requires physical embodiment, not just multimodal data

    A recent article argues that current large language models, despite their impressive capabilities, are unlikely to lead to Artificial General Intelligence (AGI). The author contends that true AGI requires a grounded, em…