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ENTITY Orca

Orca

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

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5 over 90d
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Papers · 30d
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TIER MIX · 90D
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  1. 2026-06-09 research_milestone A transformer-based deep learning model named ORCA was introduced to correct numerical weather prediction errors for marine winds. source
  2. 2026-03-27 product_launch Orca, an open-source AI coding orchestrator, has been released.
SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 5 TOTAL
  1. TOOL · CL_80126 ·

    AI model ORCA corrects marine wind forecasts with 45% improvement

    Researchers have developed ORCA, a transformer-based deep learning model designed to correct errors in numerical weather predictions for marine winds. By assimilating in-situ observations, ORCA adjusts Global Forecast S…

  2. TOOL · CL_45526 ·

    Orca AI orchestrator launches; Gemini unveils new design language

    Jinjing Liang has introduced Orca, an 'all-in-one AI orchestrator' designed to support multiple platforms including Android, iOS, Mac, Linux, and Windows. This tool aims to integrate agent and workflow execution for dev…

  3. TOOL · CL_24449 ·

    Solana dev builds real-time token price engine from on-chain data

    A developer built a real-time token price engine for Solana without relying on external APIs. The system calculates token prices and market caps directly from on-chain data by analyzing token balance differences before …

  4. RESEARCH · CL_04650 ·

    Google's Perch 2.0 AI model excels at recognizing whale calls using bird training

    Google DeepMind has developed Perch 2.0, an AI audio model initially trained on millions of bird recordings, which has shown surprising effectiveness in recognizing whale vocalizations. Researchers utilized transfer lea…

  5. RESEARCH · CL_36289 ·

    New research tackles LLM evaluation, training, and inference efficiency

    Researchers are developing new methods to improve the evaluation and training of large language models (LLMs). One approach, SCOPE, calibrates LLM judges to ensure reliable pairwise evaluations with controlled error rat…