As artificial intelligence becomes a central topic in global discussions, it continues to evolve alongside technological advancements and societal changes. According to recent reports, approximately 90% of companies in the market have now entered fields such as software development, algorithms, facial recognition, and speech recognition. However, some experts argue that while these applications are important, they rely on hardware as their foundation. The real key lies in chips—when combined with AI, they can unlock a bright future.
Recently, the release of the iPhone X, which features advanced facial recognition technology, has captured widespread attention. In addition to its deep sensor-based face recognition, the iPhone X is equipped with a dual-core A11 neural engine chip. Over the past few years, major tech giants like Apple, Microsoft, Qualcomm, and IBM have been heavily investing in AI chip development, making the role of AI-enabled chips increasingly prominent.
**Six Years of Dedication: Deep Exploration of AI Chips**
With AI becoming a buzzword, more and more people are entering the market, creating a highly competitive environment. It’s reported that 90% of enterprises have focused on software, algorithms, or facial and speech recognition. Dr. Yu Dejun, CEO of Chengdu Shensi Chuangxin Technology Co., Ltd., believes that although algorithms and facial recognition are widely used, they still require hardware support. Traditional chips, however, suffer from limitations in speed, power consumption, and size when applied to AI tasks. Many AI companies remain stuck in software innovation without being able to break through fundamental bottlenecks. In contrast, neural network chips that combine AI and hardware offer much greater potential for the future.
This vision is not just theoretical. As one of the few companies globally capable of developing AI-specific chips, Shensi Chuangxin has been dedicated to the research and development of artificial intelligence neural network chips. Their core R&D team, composed of 40% PhDs and 60% Master's degree holders, focuses on underlying technologies and applies them to the field of hardware-based AI.
Dr. Yu Dejun, who holds a Ph.D. in large-scale integrated circuits and systems from the University of Electronic Science and Technology, brings over a decade of experience in IC product development and management. His team is supported by Professor Liu Yang, an expert in microelectronics from Nanyang Technological University, Singapore, and a professor at the University of Electronic Science and Technology.
For six years, this young and innovative R&D team has been working tirelessly in the field of AI chips. In 2015, they published groundbreaking research on artificial neural networks in *Nature Communications*. Now, they have successfully developed an AI neural network platform chip, which measures just 9 square millimeters. With multiple cores built-in, each core can process three layers of neural networks, supporting deep recurrent structures. This design allows the chip to model almost all types of artificial neural networks, offering fast processing, low power consumption, and a compact size—providing strong hardware support for AI.
**"Advanced Version" AI: Mimicking the Human Brain**
During the interview, Dr. Yu also shared insights about the future of AI. He explained that the company’s chips will be embedded into smartphones, home appliances, and other devices. A smartphone equipped with an AI neural network chip could even challenge Go masters without needing a computer at home.
The successful development of the first-generation chip has already validated cutting-edge theories and topologies. The chip integrates fully connected neurons and synapses, achieving over 5 billion operations per second at 200MHz. "Our technology is already evolving, and I believe we can improve the performance of human brain-like chips by a hundred times soon," said Dr. Yu.
Once implanted in various devices, this "advanced version" of AI can significantly enhance machine learning capabilities, bringing AI to a new level. The ability to "think" and "learn" could revolutionize the current AI landscape.
**Wide Application Scenarios: Enhancing Chip Learning and Training**
This versatile chip supports a wide range of applications, including intelligent classification, nonlinear function approximation, financial forecasting, and smart home systems. As a platform chip, it can be adapted to many different industries.
Shensi Chuangxin is actively collaborating with companies specializing in cloud recognition, facial recognition, intelligent control, and robotics to bring their AI chips to life. "Our value goes beyond selling hardware—it's about creating value through collaboration," said Dr. Yu.
Currently, the company has partnered with third-party firms to implement the chip in security systems. Once trained, the chip can automatically detect dangerous items like guns and explosives in luggage, triggering alarms and reducing labor costs while improving public safety.
Looking ahead, the company plans to expand into finance, industry, and home appliances. Dr. Yu also mentioned that AI chips come in various forms, and with the launch of their first chip, they will rapidly iterate, introducing specialized AI chips for different fields and capturing a larger market.
The chip continues to learn and train online, optimizing data based on user behavior to better align with individual habits. "After learning and training, the cold chip can become 'warm' and even 'predictive'—this is the true value of our AI neural network chip," said Dr. Yu.
While big players like IBM and Google are investing heavily in AI and hardware, Professor Liu Yang remains confident. He believes that rather than competing directly, the team is focusing on niche markets with significant potential.
Additionally, the “R&D and Industrialization of Artificial Intelligence Neural Network Chips†project has been recognized as one of the 2016 “Chuangzhi Projects†in Chengdu High-tech Zone. The project has received support from the National Natural Science Foundation of China and the Sichuan Provincial Department of Science and Technology. The company has also filed over 20 invention patents, ten utility model patents, and several integrated circuit layout protections.
Shensi Chuangxin has secured investments from the Tsinghua Enlightenment Fund and the Alumni Practition Fund of the University of Electronic Science and Technology, which will help accelerate its growth in the AI chip sector. Hunting Cloud will continue to follow the company’s progress closely.
Outdoor Access Point
What is an outdoor wireless access Point?
Outdoor Wireless Access Points (aps) are wireless networking devices designed to provide Wi-Fi coverage in outdoor environments and are often used in industrial and corporate environments that require outdoor Wi-Fi access, as well as in public Spaces such as parks, stadiums, campuses, and outdoor event venues.
Outdoor wireless access points are built with a variety of weather conditions and tolerance to high temperatures in mind, so they are often equipped with weatherproof enclosures to protect internal components from moisture, dust, and other environmental elements. In addition, outdoor wireless access points are equipped with high-gain antennas that enable long-range coverage while simultaneously supporting multiple devices. Some outdoor wireless access points also have grid networks that connect a large number of wireless access points to provide seamless Wi-Fi coverage over a wide area. To protect the security of the network, outdoor wireless access points are also equipped with advanced security features such as WPA3 encryption and guest access restriction. As an important component of outdoor Wi-Fi infrastructure, outdoor wireless access points provide a reliable and secure connection within a certain range of the external environment.
Why are outdoor wireless access points important?
Here's why:
In order to provide reliable and fast Wi-Fi coverage in outdoor environments, outdoor wireless access points must be equipped to cope with the increasing use of mobile devices and meet the wireless connectivity needs of public places. This will support individuals to stay connected, allowing them to use the Internet in public Spaces such as parks, stadiums and universities.
For many organizations and industries, outdoor Wi-Fi connectivity is essential for daily operations. For inventory management and control systems, wireless facilities and warehouses must use wireless communication. These systems must be supported by wireless access points.
Wireless access points can support new applications such as outdoor video surveillance, smart lighting and environmental monitoring. Without outdoor wireless access points, many applications that require wireless connectivity will be difficult to sustain.
Visitors expect Wi-Fi connectivity in public areas such as parks and stadiums. Businesses that provide outdoor Wi-Fi can significantly enhance guest interaction and improve the overall customer experience.
All in all, outdoor wireless access points are equally important to businesses and companies because they allow them to reach out far beyond their original physical premises, reaching out to potential audiences that would otherwise be out of reach.
What are the important characteristics of outdoor wireless access points?
The following characteristics of an outdoor wireless access point are important:
Weatherproof and durable design: Outdoor wireless access points must be able to withstand harsh weather conditions and extreme temperatures. In addition, a weatherproof case is required to protect internal components from moisture, dust, and other environmental elements.
High-speed connectivity: In order to provide service to a large number of users and devices, outdoor wireless access points should provide high-speed connectivity.
Advanced Features: To provide high performance and powerful support for a wide range of devices, outdoor wireless access points should have advanced features including beamforming, MU-MIMO technology, and grid networking.
Simple installation and management: Outdoor wireless access points should be built with centralized management and monitoring capabilities backed by a cloud-based platform for easy installation and management.
Power options: Depending on the deployment area and power availability, the outdoor wireless access point should accept multiple power sources, such as PoE (Power over Ethernet) or direct AC power.
Security: To protect the network and users' data, outdoor wireless access points should include security features such as WPA3 encryption and guest access restrictions.
Customization: To accommodate diverse deployment Settings and extend coverage, outdoor wireless access points should include retrofit options including installation kits and antennas.
Simply put, outdoor wireless access points should be built from the outset to ensure that they provide reliable, high-performance wireless connectivity in demanding outdoor environments, while ensuring that they are easy to install, manage, and provide advanced features and customization capabilities.
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