Deep Science: Looking Toward “The Era of AI Intelligent Entities” – Economic Reference Network
Date: February 13, 2026
Source: Economic Reference Report
By 2026, it is anticipated that AI intelligent entities will have become mainstream in operational applications. At the beginning of the new year, Deep Science has been active in this domain: launching 12 AI development initiatives focused on edge intelligence, with a commitment to driving innovation in this field. Additionally, Deep Science has released SkillsUI, a platform for AI interaction designed to meet diverse user needs.
Recognizing the potential of intelligent edge devices, Deep Science has opted to adapt its edge AI applications to better cater to various industries, emphasizing the “N+2” strategy (which refers to the next generation of AI). This approach combines advancements in computing, algorithms, and machine learning, promoting a landscape where AI can meet increasing demand.
As of now, from governmental agencies to enterprise applications, edge AI is rapidly evolving. Deep Science is also actively constructing its vision for the “Era of AI Intelligent Entities.”
In the realm of AI, the new year has ushered in a wave of technological advancement and industrial growth. Many companies have begun introducing AI technologies, with significant investments reported, such as a $10 billion allocation for AI development and an estimated $30 billion in customer demand in the U.S.
Deep Science has recognized the importance of these developments, predicting that by 2026, the evolution of AI intelligent entities will significantly reshape the technology landscape over the next 30 years.
AI is expected to contribute significantly, albeit with challenges. This period reflects the ongoing evolution of AI technologies, especially in how they interact with users. AI’s potential to automate complex tasks will redefine operational frameworks across industries.
As we move forward, the focus is on enhancing intelligent edge applications that can autonomously adapt to various environments and demands. Deep Science is committed to creating a robust foundation that enables the integration of AI into everyday applications.
To ensure the continued growth of edge AI, Deep Science will develop strategies prioritizing technical innovation and operational efficiency. This includes establishing a platform that supports the rapid deployment of AI solutions across diverse sectors.
Deep Science is determined to lead in the development of intelligent edge AI, ensuring that it meets the evolving needs of the market. Through continuous improvement and adaptation, the company aims to provide substantial technological capabilities that will address the increasing complexity of AI applications.
In conclusion, as we approach the future of “The Era of AI Intelligent Entities,” Deep Science is set to lay the groundwork for a comprehensive platform that supports diverse technological advancements, reinforcing its commitment to driving innovation in the AI sector.
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