Orca
PulseAugur coverage of Orca — every cluster mentioning Orca across labs, papers, and developer communities, ranked by signal.
- 2026-08-24 product_launch Skala, a machine-learned functional from Microsoft Research, is being integrated into the ORCA computational chemistry software. source
- 2026-07-11 research_milestone Researchers in Beijing developed the Orca model, which learns physics and motion from extensive video data. source
- 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
- 2026-03-27 product_launch Orca, an open-source AI coding orchestrator, has been released.
9 day(s) with sentiment data
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FACCTs ORCA team to attend STC2026 in Graz
The FACCTs ORCA team will be present at STC2026 in Graz from September 14-18. They invite attendees to visit their booth to discuss research, learn about ORCA and its Python interface (OPI), and share ideas.
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GitTrends AI v5.0 released; Orca module experiment shows evidence discarding
GitTrends AI has released version 5.0, introducing real-time GitHub velocity tracking and one-click discovery for coding agents. Separately, an experiment with an Orca module demonstrated a recovery mechanism's ability …
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Orca: Open-source IDE for orchestrating AI coding agents
Orca is a new open-source Integrated Development Environment (IDE) designed to help users orchestrate AI coding agents. The tool aims to streamline the process of managing and directing multiple AI agents for software d…
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AI agents can now fix Linux system issues with a single prompt
An AI agent can be used to fix issues on Linux systems, such as an "Orca" AI assistant ceasing to function. Instead of reinstalling the operating system, a user can prompt an AI with a description of the problem, and th…
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New registry reveals 36 CLI coding agents, many bypass approval prompts
A new registry of 36 command-line interface (CLI) coding agents has been released, with a significant portion of them designed to bypass approval prompts. The registry, which includes agents like Claude Code and codex, …
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Microsoft's Skala functional integrated into ORCA software
Skala, a machine-learned exchange-correlation functional developed by Microsoft Research, is being integrated into the ORCA computational chemistry software. This integration will be included in the upcoming release of …
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Microsoft Research enhances Skala deep-learning DFT with improved accuracy and broader access
Microsoft Research has released Skala 1.1, an updated version of its deep-learning density functional theory (DFT) approach. This new version is trained on 2.5 times more data than its predecessor, leading to significan…
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LLM serving scheduler extended to support multi-tier SLAs
Researchers have extended the Llumnix LLM serving scheduler to support more than two priority tiers, enabling it to better manage heterogeneous service-level objectives (SLOs). The enhanced scheduler was evaluated using…
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New ORCA framework enhances interpretable anomaly detection for collider physics
Researchers have developed a new framework called ORCA for anomaly detection in collider physics experiments, specifically designed for the High-Luminosity Large Hadron Collider. This two-stage approach uses supervised …
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New ORCA framework adapts anomaly detection for wearable sensor data
Researchers have developed ORCA, a novel agentic framework for anomaly detection in multimodal wearable time series data. ORCA dynamically adapts its temporal receptive field during inference, eliminating the need for d…
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New ORCA method compresses 3D CT visual tokens for AI models
Researchers have developed ORCA (ORgan-Centroid Aggregation), a novel method for compressing visual tokens from 3D CT scans. This training-free approach merges adjacent tokens with organ guidance and incorporates centro…
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AI ports legacy TTS engines to Linux for accessibility
An AI enthusiast used GPT 5.6 Sol to port several Text-to-Speech (TTS) engines to Linux, enhancing accessibility for the blind community. The process involved adapting NVDA TTS add-ons for use with Linux's Speech Dispat…
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Orca framework uses neural operators for continuous-time causal reasoning
Researchers have introduced Orca, a new framework that leverages neural operator learning for causal reasoning in continuous-time systems. Unlike traditional structural causal models that focus on static variables, Orca…
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Open-source AI project OrcaHello uses AI to protect whales
The OrcaHello project utilizes open-source AI to aid in whale conservation efforts. This initiative, highlighted by RESET - Digital for Good, employs AI to better understand and protect whale populations. The project ai…
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99.9% of AI package vulnerabilities with patches remain unaddressed, report finds
A July 2026 report by Orca Security, analyzing data from over 1200 organizations in Q2 2026, revealed that 99.9% of AI package vulnerabilities with available patches remain unaddressed. The study found that 81% of organ…
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Microsoft's Orca model mimics reasoning for improved AI learning
Microsoft has introduced Orca, a world model that aims to improve AI learning by mimicking the reasoning processes of larger models. This approach allows smaller models to achieve performance comparable to much larger o…
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Beijing researchers unveil Orca model that learns physics from video
Researchers in Beijing have developed a model named Orca that learns physics and motion by analyzing 125,000 hours of video footage. This model's unique architecture allows machines to perform complex manual tasks witho…
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China's Orca model predicts world states from video without action labels
Researchers in China have developed Orca, a novel world model capable of predicting abstract world states from video data. Unlike traditional models, Orca was trained on 125,000 hours of video without any action labels.…
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Zhipu AI's Orca model learns world states for deeper AI understanding · 1 source tracked
Researchers at the Zhipu AI Institute have developed a new model called Orca, which focuses on predicting the next state of the world rather than just the next token, frame, or action. This approach aims to teach AI mod…
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New ORCA system accurately assesses audio LLM responses
Researchers have developed ORCA, a novel model-based approach for assessing the correctness of open-ended responses from large audio language models (LALMs). This system utilizes a three-stage annotation pipeline involv…