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NYSE Content Update: 'Patty' at Center of Burger King's New BK Assistant AI Solution

Business

NYSE Content Update: 'Patty' at Center of Burger King's New BK Assistant AI Solution
Business

Business

NYSE Content Update: 'Patty' at Center of Burger King's New BK Assistant AI Solution

2026-02-26 22:10 Last Updated At:22:25

NYSE issues a pre-market daily advisory direct from the trading floor.

NEW YORK, Feb. 26, 2026 /PRNewswire/ -- The New York Stock Exchange (NYSE) provides a daily pre-market update directly from the NYSE Trading Floor. Access today's NYSE Pre-market update for market insights before trading begins. 

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Laura Diorio delivers the pre-market update on February 26th

  • Stocks are little changed early Thursday after Nvidia reported earnings after the close on Wednesday, beating estimates on the top and bottom lines.
  • Burker King has unveiled its AI-powered BK assistant solution, which aims to deliver real-time, voice-enabled intelligence to restaurant teams.
  • Lumen Technologies (NYSE: LUMN) CEO Kate Johsnon will join NYSE Live after she rings the Opening Bell to explain what the company's new phase of transformation looks like.
  • Phinia (NYSE: PHIN) CEO Brady Erickson joins NYSE Live to deliver the biggest takeaways from Wednesday's Investor Day and how his company is providing solutions to various sectors.

Opening Bell
Lumen Technologies (NYSE: LUMN) celebrates accelerating its evolution

Closing Bell
AerCap (NYSE: AER) celebrates its 50th anniversary

For market insights, IPO activity, and today's opening bell, download the NYSE TV App: TV.NYSE.com

 

NYSE issues a pre-market daily advisory direct from the trading floor.

NEW YORK, Feb. 26, 2026 /PRNewswire/ -- The New York Stock Exchange (NYSE) provides a daily pre-market update directly from the NYSE Trading Floor. Access today's NYSE Pre-market update for market insights before trading begins. 

Lumen Celebrates Recent Transformation at NYSE jwplayer('myplayer1').setup({file: 'https://mma.prnasia.com/media2/2921272/NYSE_Market_Update_Feb_26.mp4', image: 'https://mma.prnasia.com/media2/2921272/NYSE_Market_Update_Feb_26.mp4?p=thumbnail', autostart:'false', stretching : 'uniform', width: '512', height: '288'});

Laura Diorio delivers the pre-market update on February 26th

  • Stocks are little changed early Thursday after Nvidia reported earnings after the close on Wednesday, beating estimates on the top and bottom lines.
  • Burker King has unveiled its AI-powered BK assistant solution, which aims to deliver real-time, voice-enabled intelligence to restaurant teams.
  • Lumen Technologies (NYSE: LUMN) CEO Kate Johsnon will join NYSE Live after she rings the Opening Bell to explain what the company's new phase of transformation looks like.
  • Phinia (NYSE: PHIN) CEO Brady Erickson joins NYSE Live to deliver the biggest takeaways from Wednesday's Investor Day and how his company is providing solutions to various sectors.

Opening Bell
Lumen Technologies (NYSE: LUMN) celebrates accelerating its evolution

Closing Bell
AerCap (NYSE: AER) celebrates its 50th anniversary

For market insights, IPO activity, and today's opening bell, download the NYSE TV App: TV.NYSE.com

 

** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **

NYSE Content Update: 'Patty' at Center of Burger King's New BK Assistant AI Solution

NYSE Content Update: 'Patty' at Center of Burger King's New BK Assistant AI Solution

Unisound Unveils U1-OCR: The First Industrial-Grade Document Intelligence Model, Ushering in OCR 3.0 Era

BEIJING, Feb. 26, 2026 /PRNewswire/ -- Unisound has officially launched its Unisound U1-OCR, the world's first industrial-grade foundation model for document intelligence, a groundbreaking release that ushers in the OCR 3.0 era and sets a new industry standard with five core strengths: SOTA performance, verifiable results, out-of-the-box functionality, efficient deployment, and robust adaptability.

Document intelligence leverages AI to automatically read, understand, classify digitized documents and extract key information. OCR 1.0 only enabled basic text recognition, while OCR 2.0 added preliminary layout understanding capabilities. U1-OCR takes a quantum leap to OCR 3.0, moving far beyond layout recognition to deliver deep semantic insight, automatic document classification and business-level information extraction—marking a transformative shift from "character perception" to "document cognition".

As a SOTA-level document intelligence model, U1-OCR resolves the longstanding bottleneck of traditional models that "recognize text but fail to grasp layout", enabling it to interpret complex documents like human experts. It pioneers a "semantic-driven + dynamic focus" strategy, first mapping a document's hierarchical structure of headings and structural metadata before extracting content on demand, and builds a semantic map to identify the relationship between titles, charts and text—even in disorganized layouts. Its enhanced spatial alignment module leverages positional data to accurately restore document structure for dense tables and mixed text-image content, effectively mitigating spatial recognition errors. Equipped with Multi-Token Prediction technology and full-task reinforcement learning, it boosts reasoning efficiency by over 80%, ensuring logical coherence for long documents.

Trained with multi-task collaborative reinforcement learning and optimized for both semantics and coordinates, U1-OCR suppresses spatial hallucinations for reliable outputs, and achieves SOTA results across major authoritative benchmarks: scoring 95.1 in OmniDocBench V1.5, outperforming leading models like GLM-OCR and Gemini-3-Pro; hitting an F1 score of 90.8 in D4LA and 95.9 in DocLayNet, excelling in table recognition and cross-page association; and outperforming models such as Gemini-2.5-Flash and Qwen-2.5-VL in internal business tests, with standout performance in medical document processing such as admission and discharge records.

Built for real-world industrial applications, U1-OCR features four key capabilities that bridge the gap between document understanding and business action. Its proprietary "coordinate-text-semantics" architecture enables pixel-level positioning and full evidence traceability, making audit processes transparent and efficient. Integrated with Unisound's industry expertise in healthcare and finance, it achieves over 99% classification accuracy for more than 50 common business documents, supporting cross-field logical verification with zero-shot capabilities. It supports private on-premise and offline deployment while delivering highly efficient document processing, meeting strict data privacy requirements for government, healthcare, and finance sectors while lowering hardware costs. Most notably, it delivers stable, high-precision performance in extreme scenarios—including non-standard photos, blurred documents, complex formatting and multilingual text—freeing businesses from reliance on standardized document formats.

Validated in real-world use cases, U1-OCR enables visual traceability of extracted information, automatic classification of mixed documents, performing intelligent image purification for cluttered layouts, and accurate recognition of complex nested tables with full structural retention.

The launch of U1-OCR marks AI's evolution from simple text recognition to business logic comprehension, a key step for Unisound toward AGI. By taking multimodal documents as a knowledge entry point, Unisound is empowering machines with autonomous reasoning and evidence traceability capabilities, driving AI from perceptual intelligence to cognitive intelligence—with the vision to build a general intelligent agent that reads, thinks and solves complex problems like humans, turning every document into a stepping stone to AGI.

** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **

Unisound U1-OCR: The First Industrial-Grade Document Intelligence Foundation Model Ushering in the OCR 3.0 Era

Unisound U1-OCR: The First Industrial-Grade Document Intelligence Foundation Model Ushering in the OCR 3.0 Era

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