Recently, ArcSoft and Entrepreneurship jointly organized the event titled “Using AI, See the Future.†The ArcSoft Visual Artificial Intelligence Engine Open Entrepreneurship initiative has sparked significant interest across the industry, igniting discussions on the future of visual AI technology and the entrepreneurial landscape. As an expert in visual artificial intelligence, Dr. Wang Jin, CTO of Hongsoft, shared his insights on the development trends of AI, highlighted ArcSoft’s strengths in facial recognition technology, and presented real-world applications across various industries during the event.
Artificial Intelligence SMEs Need to Build Competitive Barriers Through Advanced Technology
In 2017, artificial intelligence became a major trend across industries and investment circles, becoming one of the most popular buzzwords after big data. Since then, the concept of AI has been continuously emerging. However, as the technology becomes more widespread, the market faces greater uncertainties and risks, raising a critical question: Will AI-based entrepreneurship be short-lived?
In response to concerns from industry partners, Dr. Wang Jin emphasized that the AI dividend period will last for a long time at both national and industrial levels. He pointed out that AI has reached the level of national strategy, with clear mentions in documents such as the “Government Work Report†and the 19th National Congress Report. Last year, the State Council released several policy plans, including the “New Generation Artificial Intelligence Development Plan,†which outlined the overall direction and top-level design for China’s AI development, aiming to make it a global center for AI innovation by 2030. With strong government support, AI is now being applied across multiple sectors like industry, services, and agriculture, driving economic growth toward intelligent transformation.
As the core driver of the next technological revolution and industrial transformation, AI naturally attracts the attention of tech giants like BAT. When these companies enter a particular field, it often signals intense competition and rapid industry development.
For SMEs, competing directly with BAT in terms of capital and technology is not feasible. To survive in the AI race, they must build competitive advantages through specialized resources and focus on niche markets. ArcSoft's free and open visual AI engine aims to empower SMEs by enabling them to differentiate themselves and create industry-specific barriers. According to Dr. Wang Jin, AI only delivers value when applied in real-world scenarios, and continuous iteration within industries is essential for sustained innovation.
To support this, ArcSoft has made its long-developed visual AI engine available to the industry in the form of a free offline SDK. This provides enterprises with ongoing technical support, reduces R&D costs, and accelerates development cycles. Companies can integrate the functional modules into their own apps, perform secondary development based on their specific needs, and even build their own cloud infrastructure using self-organizing networks, ensuring data security.
Deep Learning and AI Innovation: ArcSoft Continues to Push the Boundaries
The emergence of new products, services, and business models in AI is closely tied to the continuous evolution of the technology itself. In recent years, deep learning has played a key role in advancing AI capabilities.
Dr. Wang Jin shared his perspective on the role of deep learning. While it represents a breakthrough in machine learning, he believes it is just the beginning. Deep learning is an effective method that has significantly advanced current AI stages, but it cannot solve all problems alone. He emphasized the need for continuous exploration and adaptation based on specific application scenarios. This leads to different technologies among companies, making it unlikely for similar solutions to emerge.
He explained that it is technically impossible to solve every problem with a single universal algorithm. Instead, different approaches are needed for different situations. For example, in face recognition, challenges such as lighting, angles, occlusions, stability, and speed require multi-dimensional solutions. ArcSoft continuously explores various methods to address these issues, achieving excellent results. These innovations are shared with industry partners through the ArcSoft visual AI platform.
Today, many enterprises, developers, and research institutions across industries are leveraging the ArcSoft visual AI engine. By promoting industrial upgrades and helping SMEs build AI-related competitive advantages, ArcSoft continues to play a vital role behind the scenes.
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