Tag: AI

iKala Chairman Sega (SHIH-CHIA) Cheng Named 2026 Eisenhower Fellow, Pledges to Bridge Taiwan-U.S. AI Ecosystems for Global Transformation

iKala, a leading multinational AI company, today announced that its Chairman, Sega Cheng, has been selected as a 2026 Eisenhower Fellow. Sega, who also serves as the Chairman of the Taiwan Internet and E-Commerce Association (TiEA), will represent Taiwan's technology sector in high-level dialogues with global political and economic leaders in the United States. His objective is to forge stronger, multi-layered ties between Taiwan and the U.S. across government, industry, and academia, elevating Taiwan from a hardware manufacturing powerhouse to a strategic nexus for global AI transformation.

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CEO Insights

DeepSeek-OCR Launches: A New Approach to AI's Long-Context Problem by 'Screenshotting' and Compressing History

The article discusses the technological divergence between the US and China in AI development, highlighting DeepSeek's new DeepSeek-OCR model. This model proposes a method to efficiently compress conversation history into visual representations, retaining key information while minimizing memory load. The potential implications for long-term AI interactions and cost optimization in AI development are significant.

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AI Trends

Google Announces Gemini Enterprise to Organize Internal Corporate Information with AI

Google officially announced Gemini Enterprise in October 2025, with major posts from Google CEO Sundar Pichai and Google Cloud CEO Thomas Kurian. Gemini Enterprise is an integrated AI platform for internal corporate use, revealing Google's immense ambition to integrate all of a client's internal data and become the "sovereign AI provider within the enterprise." Google's […]

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CEO Insights

Fine-tuning as a Service: Thinking Machines Lab Announces Tinker

Mira Murati's Thinking Machines Lab has launched its first product, Tinker, aimed at facilitating AI model fine-tuning for developers. Tinker simplifies the process by managing infrastructure and providing a flexible API for deeper control. This platform signifies a shift to "Fine-tuning-as-a-Service," democratizing AI customization for various users beyond large tech companies.

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AI Trends

Context Engineering: Techniques, Tools, and Implementation

context-engineering

The article discusses the evolution from prompt engineering to context engineering in AI, defining context engineering as a systematic approach to optimizing the information provided to Large Language Models (LLMs). It emphasizes the importance of constructing a comprehensive context for effective AI performance, contrasting single-turn prompts with multi-layered context strategies to enable robust applications across diverse sectors.