Global leading terminal edge AI computing solution company invested by Li Ka shing: Neneng Kneron, Inc

Kneron, Inc., founded by Albert Liu and Frank Chang in 2015, headquartered in San Diego, California, USA, has developed an ASIC and Software , can provide artificial intelligence Tools.

The article originates from the home of American stocks | encyclopedia of American stocks | account opening and investment of American and Hong Kong stocks- https://www.mg21.com/kneron.html

Neneng Kneron, Inc

Founded in San Diego, the United States in 2015, Nengneng now has branches in Taipei, Hsinchu, Shenzhen, Zhuhai and Hangzhou, and has global customers and partners. Its investors include Li Ka shing's Port maintenance investment 、 Alibaba Entrepreneur Fund, China Development Capital Wonderland Optoelectronics 、 high pass , Zhongke Chuangda Sequoia Capital Sub fund Cloudatlas Hon Hai Group , Huabang Electronics, etc. Up to now, Naineng has accumulated more than 100 million dollars in financing. The article originates from the home of American stocks | encyclopedia of American stocks | account opening and investment of American and Hong Kong stocks- https://www.mg21.com/kneron.html

Nanneng focuses on the research and development of edge AI SoC dedicated processors, and is the world's leading manufacturer of terminal edge AI computing solutions. With independent intellectual property rights in core industries such as AI chips and algorithms, and a strong R&D team, it aims to comprehensively enable the smart Internet of Things, automatic driving, intelligent security and other segmentation scenarios with "AI chips+edge computing+image algorithms" as the core. At the same time, relying on the KNEO shared development platform, it helps developers in all industries to quickly develop smart products, achieve commercialization, and accelerate the arrival of the intelligent era. The article originates from the home of American stocks | encyclopedia of American stocks | account opening and investment of American and Hong Kong stocks- https://www.mg21.com/kneron.html

Core technology of Nengneng Kneron, Inc.:

1. Terminal AI The article originates from the home of American stocks | encyclopedia of American stocks | account opening and investment of American and Hong Kong stocks- https://www.mg21.com/kneron.html

Terminal AI conducts AI computing and machine learning on terminal devices rather than ECS, which is an innovation that the company has been pursuing. Unlike the general AI model only for specific applications, the robust reconfigurable artificial neural network (RANN) technology is more flexible, which can meet different application requirements and adapt to various computing architectures. Naineng provides a solution combining software and hardware to reduce the threshold for terminal equipment to realize AI. The robust hardware and software solutions are designed for terminal computing. For example, the KL520 chipset is equipped with self-developed NPU IP to maximize the energy efficiency and performance of the device. The article originates from the home of American stocks | encyclopedia of American stocks | account opening and investment of American and Hong Kong stocks- https://www.mg21.com/kneron.html

The robust reconfigurable artificial neural network (RANN) supports computing voice and computing 2D and 3D image recognition; Reconfigurable artificial neural network (RANN) helps customers reduce costs by up to 20%, accelerate product commercialization, and customize terminal AI to meet personalized needs. The article originates from the home of American stocks | encyclopedia of American stocks | account opening and investment of American and Hong Kong stocks- https://www.mg21.com/kneron.html

2、KNEO The article originates from the home of American stocks | encyclopedia of American stocks | account opening and investment of American and Hong Kong stocks- https://www.mg21.com/kneron.html

KNEO = K neron N eural network E dge AI O PEN platform, KNEO is a private grid smart network composed of energy resistant driven devices. It can provide personalized mobile AI for everyone, just as the existing smart phones and APPs provide personalized mobile computing for everyone. KNEO provides an open platform for AI developers to build AI Apps for consumers and enterprises using KNEO based on mainstream AI frameworks and models. The article originates from the home of American stocks | encyclopedia of American stocks | account opening and investment of American and Hong Kong stocks- https://www.mg21.com/kneron.html

KNEO Stems is an edge grid intelligence built by connecting AI modules or sensors (cameras, microphones, thermal sensors, etc.). It does not need to access the cloud to process AI models and applications. Only two or more KNEO Stems connections can work together to become your own private AI network and protect your interests. The article originates from the home of American stocks | encyclopedia of American stocks | account opening and investment of American and Hong Kong stocks- https://www.mg21.com/kneron.html

Just like our eyes and ears, the combination of multiple sensors is more powerful and accurate than a single sensor. KNEO connects multiple sensors together, which we call "sensor fusion", to create a more private, powerful and mobile grid intelligence. At home, you can manage safety and energy consumption, and even monitor the food storage and freshness in your refrigerator. Take KNEO outside, and you can monitor your parking lot automobile Know your driving and shopping habits through KNEO Stems, and even run the AI APP issued from the doctor to manage your after going health and fitness program. The article originates from the home of American stocks | encyclopedia of American stocks | account opening and investment of American and Hong Kong stocks- https://www.mg21.com/kneron.html

Energetic Kneron, Inc. Solution:

1、AI SYSTEM ON CHIP (SoC)

Naineng focuses on AI SoC dedicated processors, aiming to provide end users with high-performance, low-power and low-cost solutions through edge AI. Based on the self-developed NPU accelerated neural network model, the energy resistant SoCs can be applied to AI applications of various terminal devices.

1.1 KL720 AI SoC

The KL720 has a computing power of 0.9 TOPS/W, making it the highest performance power consumption ratio on the market, vigorously filling the gap in this demand on the market, and is committed to achieving the vision of "making everyone benefit from AI". KL720 is the latest AI SoC, which can meet the end users with high demand for processors. The power efficiency of KL720 can reach 2 to 4 times that of competitors, and the price is lower.

1.2 KL520 AI SoC

As our first generation chip, KL520 is the first release of its size, low power consumption and high performance in the edge AI market. Many customers choose KL520, which is enough to prove the strength of energy resistance.

The KL520 with dual ARM Cortex M4 CPUs can be run as a host or AI coprocessor, so that smart locks, cameras, UAV Edge AI is realized on smart home appliances, robots and other devices. It is compatible with various 3D sensor technologies, such as structured light, dual cameras, ToF cameras and the exclusive 3D sensing technology.

1.3 Neural Network Processor (NPU)

The Nanneng NPU IP is a group of lightweight AI processor IP designed to accelerate terminal AI operations. It has the characteristics of low power consumption and small size, but its performance exceeds many models with higher power consumption and larger size in the market. Nanneng NPU IP is committed to bringing revolutionary terminal AI to devices with limited power consumption and volume. This technology has been authorized to be applied to a large number of terminal devices from many well-known manufacturers.

2. Edge AI model

The edge AI model developed by Nanneng is based on the mainstream AI framework, with high performance, low power consumption and other characteristics. The software is realized by hardware, and the edge use cases using TOPS/Watt will be constructed preferentially.

Image recognition software

Consistent with the characteristics of hardware products, the robust AI model and algorithm can balance performance, model size and complexity in addition to low latency, high computing power and strong performance. For equipment that requires less than 50MB edge AI model and needs to run for up to 6 months - no matter from UAV flight, it also depends on Battery Powered robots or relatively small devices such as intelligent doorbell, door lock, AI camera, etc. - the energy resistant AI model is the ideal choice.

The robust lightweight image recognition algorithms mainly include face recognition, body and gesture recognition, object and scene recognition, etc.

In July 2019, the National Institute of Standards and Technology (NIST) released the latest face recognition supplier test (FRVT) competition report. Among all models within 64MB, the scores of various tests of the Neneng Kneron-003 model ranked first. This fully demonstrates the powerful strength of the face recognition algorithm, which has been widely used in various terminal devices.

3. KNEO Stem: AI application development and building AI module of grid intelligence

KNEO Stems facilitates AI developers to develop apps based on mainstream AI models and frameworks. Just plug KNEO Stem into the computer to develop your own AI Apps and upload them to the KNEO AI App Mall.

With the development of KNEO AI platform, the category of KNEO Stems will continue to grow. In fact, any sensor connected to KNEO Stem or equipped with energy resistant AI chip can be added to KNEO Stem. Finally, KNEO Stems will establish a special KNEO mesh intelligent network for each user, and Blockchain 's security technology protects your private data and converts it into digital assets, enabling you to manage your own data.

4. Deep learning

Universities all over the world use textbooks written by Dr. Liu Juncheng, CEO of Nanneng, in their courses. In combination with the relevant knowledge of KNEO Stems' in-depth learning through hardware design, young people can not only learn in-depth knowledge through hardware design in combination with KNEO Stems, but also learn how to use the power of edge AI in the classroom, and share this power to the KNEO platform in the form of APP to benefit consumers, They have already opened the future of democratized AI.

From university to primary school, Nengneng is committed to sowing the seeds of marginal AI knowledge and thinking about how to develop it, because the era of personal mobile AI is coming. In order to realize the future of personal AI popularization, it is first necessary to popularize AI knowledge in schools. At present, UCLA, Notre Dame University and the University of Virginia, Tsinghua University, Jiaotong University and Chenggong University in Taiwan, as well as Hong Kong and other universities have begun to use Dr. Liu Juncheng's courses in their schools.

Founder of Nanneng:

1. Liu Juncheng

Liu Juncheng, the founder and CEO of Kneron, founded Neneng in San Diego in 2015. After graduating from Taiwan National Chenggong University, he won Raytheon Scholarship and University of California Scholarship, went to the United States for further study, studied in the master's and doctoral classes of the joint research program of the University of California, Berkeley, Los Angeles and San Diego, and then obtained a doctorate in electronic engineering from the University of California (UCLA). Liu Juncheng has successively worked in Qualcomm, Samsung Electronics R&D Center, Morningstar semiconductor (MStar) and Wireless Info. During his tenure at Qualcomm, he led the R&D team to win 9 core technology patents and the ImpaQt R&D Award of the company.

Liu Juncheng was invited to give lectures on computer vision technology and artificial intelligence at the University of California. He is also a technical reviewer of many internationally renowned academic journals. He has more than 30 international patents in the fields of artificial intelligence, computer vision and image processing, and has published more than 70 papers in major international journals.

2. Zhang Maozhong

Director and Distinguished Professor of the Department of Electronic Engineering of the University of California, Los Angeles. His research is oriented to the field of high-performance and mixed signal system on chip design, which is applied to radio radar , imaging, interconnection and spectrometer systems. He is also the director of the High Speed Electronics Laboratory at the University of California, Los Angeles.

He used to be the president of Hsinchu Jiaotong University, the assistant director and department manager of the high-speed electronic laboratory of Rockwell International Science Center in Thousand Oaks, California.

Neneng Kneron, Inc. Financing Encyclopedia

• From November 2017 to June 2020, Kneron, Inc. completed a round A financing of $63 million through four times, with investors including Alibaba Entrepreneurs Fund, CDIB Capital Horizons Ventures 、 Sequoia Capital 、 Qualcomm , Cyzone Angel Fund, etc.
• In January 2021, Kneron, Inc. received venture capital from Foxconn Technology Group and Winbond Electronics.
• In March 2021, Kneron, Inc. obtained a strategic stake of US $10 million.
• In May 2021, Kneron, Inc. acquired an exclusive $6 million stake in Delta Electronics.

Naineng Kneron, Inc. US stock investment

Unlisted company , waiting for Neneng Kneron, Inc IPO Listing.