List of AI News about agentic workflows
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2026-02-11 23:54 |
Gemini Deep Think Breakthrough: How Agentic Workflows Tackle Research‑Level Math, Physics, and CS Problems (2026 Analysis)
According to Demis Hassabis on X (Google DeepMind), Gemini Deep Think employs agentic workflows to decompose and verify steps in research‑level problems across mathematics, physics, and computer science, as reported by Google DeepMind and Google Research via the linked update (goo.gle/4aGs3Pz). According to Google DeepMind, the system coordinates tools such as formal theorem provers and code execution to improve reasoning reliability, enabling faster hypothesis testing and solution refinement for domain experts. As reported by Google Research, these capabilities point to business opportunities in AI‑assisted R&D platforms for labs and enterprises seeking productivity gains in theorem proving, simulation, and algorithm design. |
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2025-11-06 17:00 |
1Password and DeepLearning.AI Launch Developer-First Security Tools for AI Workflows in 2025
According to DeepLearning.AI, the partnership with 1Password introduces developer-first security solutions tailored for the evolving demands of AI workflows. The collaboration aims to safeguard agentic AI operations by providing advanced security tools designed specifically for developers. These solutions address the growing risk landscape as AI adoption accelerates, focusing on protecting sensitive data and automating secure credentials management within agent-driven environments. The initiative, highlighted at the AI Dev 25 x NYC event, underscores a critical shift toward integrating robust security measures directly into AI development pipelines, opening new business opportunities for security-focused SaaS providers and enterprise AI teams (source: DeepLearning.AI, 2025-11-06). |
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2025-08-05 17:26 |
OpenAI Unveils Advanced Agentic Workflow AI Models with Function Calling, Web Search, and Python Execution
According to OpenAI (@OpenAI), the latest AI models are engineered specifically for agentic workflows, offering robust support for function calling, integrated web search, Python code execution, configurable reasoning effort, and comprehensive chain-of-thought access (source: OpenAI, Twitter, August 5, 2025). These capabilities allow businesses to automate complex tasks, streamline data analysis, and enable intelligent decision-making in real-time scenarios. The practical applications span customer service automation, dynamic data retrieval, and workflow optimization, presenting significant business opportunities for enterprises seeking scalable AI-driven solutions. |