Hsinchu, Feb. 7th, 2025 — eNeural Technologies, Inc. announced today that its core technology, eSL-Craft, has received a patent certificate from the Republic of China, with the patent title "Adaptive Self-learning Method and Adaptive Self-learning System." This certification marks a significant milestone for eNeural Technologies, recognizing the company's technological innovation in the field of AI model self-learning and further cementing its leadership position in the industry.

eNeural Technologies, Inc., founded on March 29, 2022, is a startup spun out from the Intelligent Vision System Lab of the Institute of Electronics at National Yang Ming Chiao Tung University. Our core business is the professional design and service of embedded AI software IP and hardware silicon IP, offering products including embedded AI design tools. Our applications have currently expanded to include smart vehicles, smart manufacturing, mobile robots, and Artificial Intelligence of Things (AIoT).

Our core technology, eSL-Craft, is a visual analysis AI self-learning system that supports object detection, scene segmentation, and instance segmentation applications. This technology has been granted a patent in the Republic of China, titled "Adaptive Self-Learning Method and Adaptive Self-Learning System." This patent allows users to train and optimize AI models without data labeling, achieving low-code and no-code AI model training and optimization goals. This technology can accelerate model training speed by 6 times and achieve higher AI model accuracy.

eNeural Technologies will leverage its expertise and experience in autonomous vehicles, Advanced Driver Assistance Systems (ADAS), mobile robots, and AIoT systems to provide comprehensive AI intelligent system solutions for various industries.

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eNeural Technologies Inc. Business model, positioning as an embedded AI IP design company, targeting the terminal device industry, providing edge AI embedded solutions. Currently, it is roughly divided into two major customer groups. The first type is system integrators (SI), while the second type of customer is provided with silicon intellectual property components (IP) by eNeural Technologies, Inc. for IC design companies. This is NPU IP, which is one of Thien Kuei's important product lines and the source of the company's differentiated competitive advantage.

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Continuing advances in AI technologies are driving a rapid expansion of AI applications into areas such as smart factories and smart cities. Coupled with the widespread popularity of 4G and 5G communication, GPU performance boosts, and increasing data processing speeds, these developments are spurring burgeoning edge AI market growth. According to GII, the global edge AI hardware market was already valued at US$2.62 billion and is projected to grow at a CAGR of 19.85% over the next five years to US$7.52 billion.

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As AI gradually moves from the cloud to the edge, many companies are beginning to establish their own AI ecosystems, connecting hardware and software as well as the processes from design to application, further collaborating to expand new business opportunities in the global market. Sunplus Technology is one such example. Sunplus Technology has long been invested in the R&D of the Plus1 platform, which has now developed to the C3 product. With the approval of the Crystal Innovation Program subsidy this September, Sunplus Technology also plans to increase investment in the development of the next-generation product C5 to respond to the booming demand in the AI market.

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Taiwan has been promoting localized innovative technology and services in enterprises since 2013, with Hsinchu City playing a significant role by funding local small and medium-sized enterprises (SMEs) research and development through the SBIR program.

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Recently, the Ministry of Economic Affairs launched the "Leading Enterprises R&D Deep Cultivation Program" (referred to as the A+ Program), which mainly aims to attract international companies to engage in forward-looking innovative R&D activities in Taiwan. NVIDIA has established an "Artificial Intelligence Innovation R&D Center" in Taiwan and built a supercomputer called "Taipei-1," offering free computing power to various sectors in Taiwan for R&D use during a limited period.

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eNeural's groundbreaking AI technology took center stage at the recent Healthy Ageing Tech Show, demonstrating its versatility beyond just the technical aspects. The company showcased its latest innovation, Healthcare Buddy, which represents a major breakthrough in the smart healthcare sector.

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The most appealing concept of AI PCs and AI smartphones is the ability to integrate AI into the devices, allowing some AI functions to be realized without the need for internet connectivity. The holy grail of the automotive industry, "fully autonomous driving," also hopes to achieve the integration of AI within the vehicle.

The startup eNeural Technologies Inc has proposed a "vehicle embedded system" that allows AI to be slimmed down to operate on current chips without losing model accuracy. How did they achieve this?

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Dear Guests and Partners,

Greetings!

The "2024 Healthy Ageing Tech Show" will be grandly held from August 2nd to August 4th at the Taipei World Trade Center Hall 1. This year, eNeural Technologies Inc's team is honored to participate in this expo. Our team will bring a unique experience using artificial intelligence technology, detecting key behaviors with innovative AI detection technology, and integrating eNeural Technologies Inc's latest SLM technology to perfect the last mile for elderly health industry products.

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eNeural Technologies Inc. (eNeural) made a significant breakthrough at InnoVEX 2024. Have our partners experienced it firsthand?

For those who missed the experience, don't worry. Here are some highlights and snapshots from the event to help you catch up! 😊

• This exhibition showcased a complete smart cockpit driver assistance scenario, combining AI image real-time driver behavior detection and edge language model dialogue prompts.
• The AI image real-time driver behavior detection mainly utilizes the mass-produced C3V chip from Sunplus for lightweight model inference, with a computational performance of 80fps.
• The customized edge language model by eNeural is implemented in real-time on the NVIDIA Orin computing platform, with a computational performance of over 10 tokens per second.
• On-site integration of both technologies demonstrated real-time interaction. When the AI image real-time behavior detection model identified distracting behaviors such as phone use, drowsiness, or unfastened seatbelts, the edge language model provided immediate reminders to the driver to reduce the risk of accidents and ensure the safety of all road users.

The exhibition garnered considerable attention from visitors, and the team received a lot of positive feedback and discussion invitations. Visitors particularly praised the following aspects:

• Real-time Image Recognition: Models developed using eNeural’s AI design tools accurately and quickly recognize objects and environments, ensuring precision and computational speed.
• Seamless Natural Language Interaction: eNeural optimizes and downsizes LLM to SLM through AI core tools, with customized training for specific application
• Diverse Applications: eNeural’s smart cockpit driver assistance perception and dialogue technology open up endless possibilities, covering applications from virtual assistants to various smart environments.

The eNeural team sincerely thanks every customer who visited our booth, engaged in in-depth conversations, and provided valuable feedback. Your support and enthusiasm inspire us to continually push the boundaries of AI interaction technology. We also extend special thanks to the National Yang Ming Chiao Tung University exhibition organizers and partners for creating such an inspiring platform that encourages innovation and collaboration. This event has truly become a catalyst for innovative ideas and industry-driven cooperation, and we are excited and looking forward to future developments.

Looking ahead, eNeural is committed to further refining embedded AI and generative AI solutions and continuously exploring advanced artificial intelligence technology fields. Please stay tuned for eNeural's latest updates and breakthroughs.

We welcome you to contact us to learn more about eNeural's products and explore potential collaboration opportunities. Let’s work together to integrate artificial intelligence technology into everyone's life!

Dear Guests and Partners,
We are thrilled to announce that eNeural Technologies Inc will be participating in this year's highly anticipated startup exhibition, InnoVEX!

As the largest startup technology exhibition of 2024 is about to begin, Dr. Jiun In Guo, Chairman of eNeural Technologies Inc, has been invited to speak at the "Mastering The New AI Economy -Chip Innovative Technology Application Trend Seminar." on Tuesday, June 4th, from 10:00 AM to 12:00 PM. He will be one of the distinguished lecturers at this event (interested partners can refer to the registration link below).

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AI is not just about the future; it's about the present!

This year, eNeural Technologies Inc, an emerging AI startup, was honored to be invited by the Taiwan AI Chip Alliance to participate in the AI EXPO exhibition. During the exhibition, our team deeply felt the thriving vitality of Taiwan's AI industry. We also observed the growing proximity between the general public and AI applications, believing that in the near future, AI will bring convenience and efficiency to our daily lives.

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We are thrilled to share some exciting news with everyone.

At the 2024 E-Mobility Expo held at the Taiwan Nangang Exhibition Center, eNeural Technologies Inc. unveiled the ADAS Buddy system for the first time. Unlike cloud-based language models, ADAS Buddy is an intelligent AI assistant deployed on embedded platforms in the field of ADAS applications. Apart from integrating with ADAS AI modules to provide drivers with the best driving interaction experience, it also ensures the security of personal privacy! For more information about ADAS Buddy showcased at this exhibition, please click on the link below:https://youtu.be/X6Lenr1kHGk?si=NG7JVzrNXiW-mRBS

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We're thrilled to announce our participation in the upcoming 2024 E-Mobility Expo from April 17th to 20th at Taipei Nangang Exhibition Center.

eNeural Technologies Inc. invites you to explore our cutting-edge solutions revolutionizing the automotive industry. Discover ADAS Buddy, your intelligent copilot, offering privacy-focused features and lightning-fast responses.

Don't miss out on experiencing:

    Enhanced Navigation

    Real-Time Traffic Updates

    Voice-Controlled Features

The soul embedded in the ADAS Buddy is a cutting-edge light weight language model that could be customized to any applications that require natural human machine conversion. Please drop by our Booth to experience the fantastic features of ADAS Buddy.

Date: April 17th - 20th, 2024

Location: Booth L1318c 4F, Taipei Nangang Exhibition Center Hall 1

Join us and unlock the future of mobility!

#EMobility #Innovation #Automotive #AI #ADAS #Technology #FutureOfWork #LinkedInEvent #eNeuralTechnologies

We are thrilled to announce that eNeural Technologies Inc. has been honored with the ''Most Leading-Edge Startup'' award at the EE Awards Asia, organized by ASPENCORE Taiwan/Asia team in collaboration with EE Times and EDN!
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I am happy to share that eNeural Technologies Inc. has officially marked its presence in Hsinchu Science and Industrial Park on November 28, 2023!

As part of our inaugural celebration, we had the pleasure of hosting esteemed partners and industry leaders who witnessed firsthand the prowess of our cutting-edge technologies. The event featured live demonstrations of our latest innovations, showcasing the breadth and depth of our capabilities.
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At eNeural Technologies Inc, we uphold the spirit of learning new things while not forgetting the old, dedicated to being an outstanding startup. We are honored to be one of the selected teams for the Hsinchu City Government's Local Industry Innovation and R&D Promotion Program

The expected outcomes of this program have tremendous potential, promising rapid expansion and enhancement of applications across various fields in the upcoming era of high-demand AI applications.
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eNeural Technologies Inc. is pleased to announce that it has been approved by the National Science Council to establish a presence in the Hsinchu Science Park. The company will invest 200 million NTD in phases, continuing to deepen its efforts in the field of Edge AI, bringing new possibilities to the market.

With our team's unique Edge AI design technology, we are committed to driving future innovation. In the rapidly changing AI environment, Edge AI is recognized as the next growth opportunity, significantly impacting the AI industry chain, talent cultivation, and smart transportation.

Our mission is to assist enterprises in achieving breakthroughs in Edge AI applications. Through superior hardware and software design, companies can stand out in a competitive market, providing smarter and more efficient solutions. From industrial automation to smart cities, smart transportation, and smart healthcare, eNeural is your trusted partner.

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The AI boom has reached new heights with the visit of NVIDIA founder Jensen Huang to Taiwan, benefiting both major supply chain companies and startups alike. At COMPUTEX 2023, AI startups are flourishing; some companies are launching customized services aligned with the trend of large language models (LLM), while others are leveraging the distinct advantages of GPUs and AI chips to develop image recognition solutions.

eNeural Technologies Inc's COO, Su Pei-sheng, stated that the team focuses on software development and can choose NVIDIA GPUs or other chips to design the best solutions for clients, including chips from companies like Chipone Technology, Nuvoton Technology, and Ambarella. He analyzed that while GPUs are powerful, they are also more expensive and energy-consuming, making AI chips more efficient for edge computing. Image recognition typically utilizes convolutional neural networks (CNN) or Transformer models, but currently, not all chips support Transformer computations, which can limit software development.More...

eNeural Technologies Inc., a pioneering leader in self-learning AI solutions, had the incredible opportunity to present our revolutionary light-weight AI solution with Driver Monitoring System (DMS). The event was a resounding success, and we are grateful for the overwhelming positive response we received.

During the exhibition, we had the pleasure of meeting companies from various sectors, including aftermarket vendors, security firms, inspection agencies, system integrators, and investment advisors. The potential for future collaborations and partnerships has us truly excited about the endless possibilities that lie ahead.

eNeural technologies inc., a company dedicated to improving road safety for heavy vehicles, has developed an innovative blind spot information system called Q-box BSIS.

The system uses AI camera/radar fusion technology to effectively detect the position of bicycles, motorcycles and pedestrians next to the vehicle and alert the driver. Q-box BSIS system is able to meet the UN-R151 regulation set by the United Nations Economic Commission for Europe (UNECE), which specifies nine rigorous experimental tests for the detection capability of blind spot information systems for bicycles and motorcycles. In these tests, Q-box BSIS system showed excellent performance, achieving 100% accuracy in each test. Related experimental results are shown in the table.

If you want to learn more about the features and advantages of Q-box BSIS system, please feel free to contact us.

We are glad to announce that the showcase at 2023 Autotronics Taipei has successfully concluded!

During the exhibition, we not only showcased our products through dynamic videos, but also designed an interactive display for our Self-learning AI Solution, specifically the Driver Monitoring System (DMS), in order to provide visitors and potential clients with a better understanding of our technology. By using our Self-learning AI in real-life scenarios, we were able to capture their attention and leave a lasting impression.

Check here for the Demo Video at the booth.

Over the course of the four-day exhibition, we received visits and inquiries from fleets, aftermarket vendors, industrial production AOI vendors, and Korean chip manufacturers, and we are excited about the potential for future collaborations.

The results of this exhibition have given us more confidence, and we believe that our DMS technology as well as Self-learning AI technology will bring about more business opportunities and market potential.

eNeural Technologies, Inc. (eNeural) is excited to announce its participation in the upcoming Autotronics Taipei event, where it will showcase its groundbreaking self-learning technology used in driver monitoring systems. The event will take place from April 12 to April 15 at the Taipei Nangang Exhibition Center.

eNeural's self-learning AI solutions offer a comprehensive technology for learning methods and processes that continuously improve the accuracy of the model. By applying semi-supervised learning, the technology reduces the labeling and training costs associated with data acquisition. This innovative approach results in more accurate and lightweight inference models running on AI SoCs with 8-bit or smaller integer Neural Processing Units (NPU.)

Watch this video for more information about the Self-learning AI Solution.Over the course of the four-day exhibition, we received visits and inquiries from fleets, aftermarket vendors, industrial production AOI vendors, and Korean chip manufacturers, and we are excited about the potential for future collaborations.

The results of this exhibition have given us more confidence, and we believe that our DMS technology as well as Self-learning AI technology will bring about more business opportunities and market potential.Driver Monitoring System.

The company's self-learning technology is particularly effective in the field of driver monitoring systems. At the Autotronics Taipei event, eNeural will exhibit its driver monitoring system, which uses an AI-powered lens near the driver's seat to detect signs of fatigue and alert the driver accordingly. The system can also detect seat-belt usage and driver distraction, improving safety on the road. Attendees can expect to experience a firsthand demonstration of the technology and learn more about eNeural's innovative approach to AI solutions.

With limited open-source labeled rear view images of people and vehicles behind, eNeural's "self-learning AI solution" is perfectly suited to process a large number of unlabeled images recorded daily while driving. This technology improves the accuracy of overtaking warnings, reducing the likelihood of accidents caused by driver distraction.

We're excited to showcase our self-learning technology at Autotronics Taipei and share how our approach can benefit the automotive industry," says from the CTO of eNeural: "By leveraging AI and data, we're confident that we can help make driving safer and more enjoyable for everyone." eNeural invites all attendees to visit their booth, K0010, to learn more about their self-learning AI solutions for driver monitoring systems.

Being an AI SW/HW design service house, eNeural Technologies Inc. is striving for delivering the best quality of embedded AI models one has to offer. To do so we developed an in-house toolchain to automate the AI process flow from labeling, modeling, training, augmentation, pruning, and quantization. This automated process allows us to produce quality and lightweight inference models running on AI SoCs with 8-bit or smaller integer Neural Processing Units (NPU.) This process is now enhanced with a Self-Learning Design Methodology. It first uses a small number of labeled data to train a baseline target inference model. The toolchain then feeds the model with unlabeled data and quickly converges into a highly accurate one. We have applied this methodology to several user applications and obtained more accurate models in 6 times faster time-to-market.You may find the illustration video on Youtube.

Our CES 2023 trip is successful and fruitful, which attracts more than 15 collaboration chances for projects and co-development products.

Since 2020, Wistron IMS has been working with Team NYCU on the development of railway/road inspection systems, acquiring advanced AI techniques and knowledge. The railway/road inspection system is able to detect road faults via AI and Machine Learning (ML), integrating High Definition Positioning System (HDPS) developed by Wistron IMS. The system provides seamless positioning information and uploads the data of abnormalities and faults to the cloud, resulting in improved maintenance office operations. More...

eNeural Technologies Inc. will attend the 2022 Startup Festival to announce the cutting-edge embedded AI technologies.
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eNeural Technologies Inc. will attend the 2022 Startup Festival to announce the cutting-edge embedded AI technologies.More...

eNeural Technologies Inc. is awarded the Ministry of Digital Affairs (MODA) AI+ Start-up Award with the technology of RGB-SD SLAM for self-driving, and demonstrate the technology in AI Day 2022. More...

eNeural Technologies Inc. is awarded the Ministry of Digital Affairs (MODA) AI+ Start-up Award with the technology of RGB-SD SLAM for self-driving, and demonstrate the technology in AI Day 2022. Identifier:10.1109 / TNNLS.2021.3072145) with high impact factor 14.255, H-index 221.

Prof. Jiun-In Guo (Founder of eNeural Technologies Inc./NYCU) has been invited to deliver a speech about “Embedded artificial intelligence technology for ADAS/ADS applications” in IEEE Autonomous Mobility Circuits and Systems Workshop (AutoCAS 2022). More details about this speech can be found in Youtube.

eNeural Technologies Inc. focuses on the development of embedded artificial intelligence technology, creating an embedded AI design toolchain, ADAS/AIoT application models, and automotive-grade embedded computing platforms. This helps clients build a user-friendly automated AI model development environment, successfully implementing AI technology in product development.

iCatch Technology cooperated with eNeural technologies Inc. to show V57 OpenMVCam/EVS/DVS solution in the InnoVEX 2022 held in Taipei, Taiwan.