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Artificial Intelligence

ARTERY AT32 MCU drives the new future of AIoT

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With the rapid development of semiconductor technology, the Internet of Things (IoT) is increasingly becoming integrated with artificial intelligence (AI). In such context, the IoT- enabled equipment automation, fast data acquisition and remote control is working closely with AI to produce what is the so-called AI+IoT technology. The term of AIoT is literally the best combination of the IoT with artificial intelligence system. At present, such technology is being extensively used in multiple sectors from the industrial applications to people’s daily lives, with a view to providing more innovative solutions to various industries. With the AIoT technology, the deep learning is possible by devices collecting and analyzing a large amount of external data. The multi-level neural network training systems and outstanding computing power it boasts is helpful to behavior forecast and decision-making like human. All this, however, requires a large number of internal memories and CPU resources. The traditional clouding service mode takes huge cost as it has to port data to the cloud side for processing. On the other hand, the whole process is not free from data transmission latency and data security risk. The birth and growth of AIoT is aimed at providing better user experience in terms of security and convenience.

As the digital economy grows rapidly, many enterprises are increasingly concerned about delay in data transmission, security and reliability of information. In response, the use of edge computing solution is on the rise. Unlike traditional computing mode, the edge computing is designed to make computing as close to data sources as possible to reduce latency and bandwidth usage, thus offering better transmission speed, lower operation costs and enhanced reliability and security. In the course of digital transformation, the MCU has played a big role in achieving Edge AI or Endpoint AI thanks to its various advantages such as low-power consumption, fast and low-cost development. We can see more and more MCUs engaged in the embedded machine learning (Embedded ML) and tiny machine learning (Tiny ML). The MCUs are equipped with varying performance to cater to different level of AI computation requirements.

The MCU-based AI system focuses on real-time decision-making and response speed because of its strengths in low-power consumption, low latency, low cost development and higher security. With the help of digital signal processor (DSP) and machine learning (ML), the system can be used for the classification, identification, prediction and inference judgment. It is found that many applications like sensor detection, motor vibration analysis and voice recognition, to name a few, are being widely used in industrial control, motor control and consumer electronics, among others. Besides, there are more high-end MCUs offering specific solutions to the complex computer vision and imaging applications, such as fingerprint analysis, facial recognition and collaborative robot. The continuous upgrading in AI algorithms has driven the MCU industry to expand its functions to adapt to the rapid growth of AIoT.

With the growing demand of the device networking, the sector sees fast development, and a large number of human-machine interactions and high-speed communications keeps expanding, causing systems to be much more complex than before. Thus we are gradually turning to the artificial intelligence technology to attain a high level of smart management in this regard.

As an innovative leader in the 32-bit general-purpose MCU sector, ARTERY Tech offers up to 12 product lines covering low power line, value line, mainstream line, wireless BLE and high performance line, a total of nearly 200 parts. In addition to its 55nm advanced process, ARTERY MCU family all operate on ARM®-Cortex®-M4 or M0+ core and are equipped with a complete set of development tool kits, thus speeding up development and shortening production cycles. When it comes to the AIoT applications, AT32 MCUs developed by ARTERY stand out in four respects:

High performance reduces latency and increases efficiency

The low latency mechanism makes real-time control and faster response possible. The mainstream line AT32F403A/407 and high-performance line AT32F435/437 are capable of offering low-latency solutions as they provide a maximum frequency of 240MHz~288MHz, the first of its kind in the MCU field, and embed floating point unit (FPU), 256~4032KB Flash and 96~512KB SRAM, in addition to rich peripherals, XMC memory extension function and multi-channel 12-bit high-speed ADC and DAC. All these features can help greatly increase development efficiency and lower costs. Among AT32 MCUs, the AT32F435/437 series is the most competitive as its CPU operate up to 360DMIPS, and its CoreMark up to 1002.74 points (3.482 CoreMark/MHz). On the other hand, ensuring stability in communication transfer is regarded as a key feature to the smooth operation of the whole IoT system. The AT32F407 and AT32F437 series are compatible with IEEE-802.3 10/100Mbps Ethernet controller. The AT32F435/437 series, in particular, embeds an independent 5.33Msps ADC engine to guarantee fast and stable transmission, thereby meeting the demand of motion control and intelligent control.

High accuracy and reliability

The accuracy of measurement is often related to the use of sensors or IoT nodes. The sensor can be used for wireless communication and data processing. By using AI algorithms that give reasoning and behavior prediction, the sensor make its own judgment. And this is what the MCUs are working on. For example, the AT32F415 series operates up to 150MHz and supports a wide range of communication interfaces and peripherals including UART, SPI, I2C, SDIO, USB OTG and CAN. At present, such device has been applied in smart home area as a partner of Amazon solutions. Following the Amazon Connect Kit (ACK) protocol, the AT32F415 series provides voice control and smart dimmer light switch control system through Amazon Echo or APP speaker in Wi-Fi environment. Speaking of the AT32F425 series, it features USB OTG, up to 96MHz, 120DMIPS CPU, and CoreMark up to 326.57 (3.402 CoreMark/MHz). The device embeds a maximum of 68KB Flash and 20KB SRAM, OTG controller, CAN, IR timer, four USARTs and 2Msps 12-bit ADC. Therefore the AT32F425 series is capable of achieving high-speed data acquisition, mixed-signal processing at shortened development cycles and lower costs while ensuring accuracy and data integrity.

Low power and fast wake-up capability

For a terminal device, it is required to perform fast data collection and transfer in a short period of time. A low-power MCU is designed to better manage memory resources and communication time while performing edge computing. In most terminal devices, batteries serve as the primary power source. To extend the power supply, ARTERY AT32 MCU series supports three sleep modes: Deepsleep, Standby, and Sleep. Additionally, multiple WKUP pins are available to wake up from Standby mode so as to save power consumption as best as it can.

The IoT leaves its footprint in almost all corners of society from households to urban network. A smooth wireless communication is regarded as the most important link in the entire IoT system. For the signal collection devices scattered in various venues, it is not viable for workers to replace batteries for them frequently. Thus a low-power MCU is needed to ensure these devices to operate for a long period of time. In this case, the AT32WB415 wireless series is highly recommended as it adopts BLE 5.0 technology, a maximum frequency of up to 150MHz, 187.5DMIPS CPU, and 400.84-point CoreMark (2.672 CoreMark/MHz). The device features rich communication interfaces and memory resources, and embeds RF transceiver and baseband. Besides, its Bluetooth RX value can be up to -97 dBm, and transmit power (TX) between -20 dBm and +4 dBm. The antenna embedded in the device can cover as far as 30m, up to 2Mbps, for full connectivity. Moreover, the AT32WB415 enjoys a competitive price which makes it a great choice for networks that are cost-sensitive.

Improve data security and privacy

It is important to ensure user privacy and data security when terminal devices are connected to the Internet because a large amount of sensitive data are generated. Therefore, it is essential for MCUs to provide strong protection for data storage, which is often achieved by hardware access control mechanism in data storage area, strict programming procedures and access protection configuration. The security Library (sLib), developed by Artery, allows users to set any part of the Flash memory as a security area that is code-executable only but non-readable. The “sLib” is a mechanism designed to protect the intelligence of solution vendors and facilitate the second-level development by customers.

In the meantime, Artery has established a complete set of ecosystems, including development tools, real-time operating system (RTOS), and third-party software resources compliant with IEC-60730 by the International Electrotechnical Commission (IEC). These resources are useful for the rapid development and launch of products.

Looking ahead, more networking devices are needed to meet diverse demands from more applications, in particular the IIoT, consumer electronics and wireless products. In order to support complex computing requirements and diversified communications in the future, we should do more to enhance 32-bit MCUs performance in computation, data transfer and data processing to keep abreast of the time.

At present, ARTERY is working on a full-fledged MCU platform ecosystem. Such platform focuses on MCUs based on ARM®-Cortex®-M4/M0+ core, which incorporate digital signal processor (DSP), single-precision floating-point arithmetic (FPU), high-speed CPU performance, larger memories, rich peripherals and self-developed security Library (sLib). And there are various packages available for users to select the desired MCU product. At the same time, ARTERU is speeding up its efforts to move toward 28nm/40nm process, strengthen research and development of high performance, lower consumption and offer diverse packages, aiming to bring about better user experience.

SOURCE Artery Technology

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Wladimir P. is a Content Editor at European Gaming Media and at PICANTE Media and covers a large variety of industries.

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Artificial Intelligence

Department of Health – Abu Dhabi partners with MBZUAI and Core42 to launch Global AI Healthcare Academy

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May 13, 2024

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ABU DHABI, UAE, May 13, 2024 /PRNewswire/ — The Department of Health – Abu Dhabi (DoH), the regulator of the healthcare sector in the Emirate, signed a Memorandum of Understanding (MoU) with Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), the leading AI research-based academic institution located in Abu Dhabi, and Core42, a G42 company offering AI solutions, during Abu Dhabi Global Healthcare Week (ADGHW). This MoU will launch the global AI Healthcare Academy to the health workforce. The MoU was signed by Dr. Rashed Obaid Al Suwaidi, Executive Director of Healthcare Workforce Planning Sector at DoH, Sultan Al Hajji, Vice President of Public Affairs and Alumni Relations at MBZUAI and Talal Al Kaissi, Executive Vice President, Chief Product and Global Partnership Officer at Core42.

 
 
Reinforcing Abu Dhabi’s position as a leading destination for healthcare and life sciences, the partnership seeks to establish a framework of collaboration to strengthen the Emirate’s position at the forefront of technology-enabled and data-driven healthcare systems. The new AI Healthcare Academy will help to build a global AI-trained workforce, which is capable of advancing diagnostic and operational efficiency, significantly improving patient care, and streamlining healthcare processes around the world.
Sultan Al Hajji, Vice President of Public Affairs and Alumni Relations at MBZUAI, said: “Healthcare is a key research pillar for MBZUAI, because we recognise the transformative and life-saving potential of AI across a wide range of diagnostic and treatment areas. In addition to our recent effort in establishing the Institute of Digital Public Health, we are proud to partner with The Department of Health – Abu Dhabi in launching the new AI Healthcare Academy. MBZUAI will provide the Academy our world-class faculty to facilitate AI workshops and training to upskill the healthcare workforce in support of the UAE leadership’s vision to become a global hub for AI and a centre for life sciences.”
Through leveraging advanced technologies and harnessing the power of AI, DoH seeks to upskill the health workforce, enhance local practices and contribute to broader medical research and treatment modalities worldwide. By embracing AI-driven technologies, healthcare professionals can stay at the forefront of innovation, fostering collaboration and knowledge exchange on a global scale.
By collaborating with MBZUAI through its Institute of Digital Public Health, the Academy will encompass ground-breaking research. These efforts will encourage public-private partnerships, fostering collaboration to secure ample funding and ensure ongoing sustainability, setting the academy for long-term success and supporting responsible and impactful innovation.
Under the patronage of His Highness Sheikh Khaled bin Mohamed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi and Chairman of Abu Dhabi Executive Council, Abu Dhabi Global Healthcare Week (ADGHW) is a major government initiative from DoH, taking place between 13 and 15 May 2024.
For more information please visit: https://www.adghw.com/
About Department of Health – Abu Dhabi (DoH):
The DoH is the regulatory body of the healthcare sector at the Emirate of Abu Dhabi and ensures excellence in healthcare by monitoring the health status of the population. DoH defines the strategy for the health system, monitors and analyses the health status of the population and performance of the system. In addition, DoH shapes the regulatory framework for the health system, inspects against regulations, enforce standards, and encourages adoption of world-class best practices and performance targets by all healthcare service providers in the Emirate. DoH also drives programmes to increase awareness and adoption of healthy living standards among the residents of the Emirate of Abu Dhabi in addition to regulating scope of services, premiums and reimbursement rates of the health system.
For further information on DoH, visit https://www.doh.gov.ae/ and follow on X, Instagram, Facebook, LinkedIn and YouTube.
About Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
MBZUAI is a graduate, research university focused on artificial intelligence, computer science, and digital technologies across industrial sectors. The university aims to empower students, businesses, and governments to advance artificial intelligence as a global force for positive progress. MBZUAI offers various graduate programs designed to pursue advanced, specialized knowledge and skills in artificial intelligence, including computer science, computer vision, machine learning, natural language processing, and robotics. For more information, please visit www.mbzuai.ac.ae.
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Artificial Intelligence

Vantiva Ships Over 125 Million Open-Source RDK Devices Globally

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May 13, 2024

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Milestone includes RDK-Broadband and RDK-Video devices shipped to Network Service Providers across the world
PARIS, May 13, 2024 /PRNewswire/ — Vantiva (Euronext Paris: VANTI), a global technology leader enabling Network Service Providers (NSPs) to connect consumers worldwide, today announced that it has shipped more than 125 million RDK-based customer premise equipment (CPE) products since 2012, strengthening its market share as of 2024. RDK is a fully modular, portable and customizable open-source software solution that standardizes core functions used in video, broadband and Internet of Things (IoT) devices. Vantiva has been an active member of the RDK community since its inception, providing RDK solutions across IP, Hybrid and Quadrature Amplitude Modulation devices. In 2014, Vantiva contributed software that helped enable RDK to expand its applicability to broadband devices, meeting the demand of operators worldwide for greater technical commonality among suppliers.

 
“Vantiva has played a vital role in helping RDK become a driving force for innovation across broadband and video globally,” said Jason Briggs, President and General Manager of RDK. “Network Service Providers understand the benefits RDK provides in terms of versatility and software commonality, and the importance of having a proven CPE partner, like Vantiva, who can help them deliver at scale. We look forward to continuing to collaborate with Vantiva to extend the reach of RDK for many years to come.”  
RDK-Broadband (RDK-B) is an open platform for broadband devices that provides customers with an industry-leading standard of technology facilitating efficiencies in development cycles through collaborative industry contributions that drive lean business results. Operators can efficiently introduce a wider array of enhanced offerings, like parental controls or cybersecurity, while maintaining complete control over design, development, deployment and data management. RDK-Video (RDK-V) provides developers and operators with a unified software stack for set-top boxes (STBs) and home gateways across a broad range of complex video and management functions, including rendering, content, device management and networking.
“RDK has grown exponentially thanks to the leadership of RDK Management and to the more than 600 companies that contribute to the RDK community,” said Leopold Diouf, Senior Vice President of the product division at Vantiva. “By leveraging RDK as a platform, Vantiva delivers innovative software solutions to a globally diverse range of NSPs and multiple access technologies – DOCSIS, fiber and fixed wireless access. This approach provides our clients with the latest software advancements efficiently and effectively, empowering them to focus their efforts on new services that drive their businesses forward.”
All of Vantiva’s DOCSIS gateways ship with RDK-B as the default software stack. Vantiva’s RDK-V STBs are deployed with leading NSPs across the globe. 
Achieving more than 125 million RDK devices shipped is the latest strategic milestone in Vantiva’s ongoing commitment to providing open and innovative technologies for customers and operators around the world. Vantiva’s goal is to bring seamless connectivity and premium entertainment experiences to consumers by creating best-in-class CPE and partnering with the most innovative companies in the connected home ecosystem. 
ContactsVantiva Press Relations     [email protected]   
Thatcher+Co. for [email protected] 
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Artificial Intelligence

Ambient Intelligence Market Size to Grow USD 185.5 Billion by 2032 at a CAGR of 25.7% | Valuates Reports

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May 13, 2024

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BANGALORE, India, May 13, 2024 /PRNewswire/ — Ambient Intelligence Market is Segmented By Component (Hardware, Software, Service), By Technology (Bluetooth Low Energy, RFID, Ambient Light Sensor, Software Agents, Affective Computing, Biometrics, Others), By End User (Residential, Retail, Healthcare, Office Building, Automotive, Others).

The Global Ambient Intelligence Market was valued at USD 19.2 Billion in 2022, and is projected to reach USD 185.5 Billion by 2032, growing at a CAGR of 25.7% from 2023 to 2032.
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Major Factors Driving the Growth of Ambient Intelligence Market:
The market for ambient intelligence is expanding rapidly thanks to a number of important considerations. The need for ambient intelligence solutions is primarily being driven by the growing integration of smart technology into common things, together with improvements in IoT (Internet of Things) and AI (Artificial Intelligence). Market expansion is further accelerated by the growing global adoption of smart home and smart city projects. Furthermore, the adoption of ambient intelligence systems is fueled by the increasing need for individualized user experiences and seamless connection across a variety of industries, including healthcare, retail, and automotive. Together, these elements are fueling the market for ambient intelligence, which is expected to revolutionize how humans interact with our surroundings.
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TRENDS INFLUENCING THE GROWTH OF THE GLOBAL AMBIENT INTELLIGENCE MARKET: 
By redefining patient care and experience, ambient intelligence hardware combined with affective computing technology in the healthcare sector is driving the growth of the ambient intelligence market. With the use of affective computing, medical professionals may monitor mental health issues, gauge patient moods, and customize treatment regimens by analyzing physiological signs such as voice tonality and facial expressions. Hardware with ambient intelligence, including sensors and smart devices integrated into medical settings, makes data collecting and interpretation easier and improves patient involvement and professional decision-making. Affective computing and ambient intelligence together enhance healthcare outcomes and stimulate the market by encouraging creativity and efficiency in the provision of healthcare services.
The market for ambient intelligence is expanding due to the growing need for smart home automation solutions. By adding smart technologies that automate chores and adjust to their needs, homeowners want to improve comfort, convenience, and energy efficiency in their houses. Voice-activated assistants, lighting control systems, and smart thermostats are a few examples of ambient intelligence technologies that provide seamless automation and connection, spurring market growth and acceptance in the smart home space.
Ambient intelligence solutions are becoming more and more popular because of the need for individualized user experiences in a variety of industries, such as retail, healthcare, and entertainment. Ambient intelligence systems anticipate user wants, preferences, and behaviors by utilizing data analytics, machine learning, and context-aware computing. This allows them to provide customized experiences that increase user pleasure and engagement. This customized strategy increases market growth by cultivating brand distinction and consumer loyalty in addition to enhancing user experiences. The aging population and the rise in chronic illness rates have made ambient assisted living technologies more important, which has fueled the healthcare industry’s growth in the ambient intelligence market.
The market is expanding as a result of rising consumer adoption of ambient intelligence technologies and their advantages in everyday life. Customers are more likely to embrace ambient intelligence solutions in other areas of their lives when they see the efficiency, convenience, and personalization that these solutions provide in a variety of domains, such wearables, smart homes, and linked autos. Additionally, as smart gadgets and digital assistants proliferate, customers become more acquainted with ambient intelligence principles, which facilitates wider acceptance and market growth.
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AMBIENT INTELLIGENCE MARKET SHARE:
Due to a variety of factors, including the early adoption of modern technologies, the presence of several important companies in the ambient intelligence vendor market, and the significant digitization of different industries in the area, North America held the biggest market share for ambient intelligence in 2022.
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Key Companies:
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