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AT32 High Performance MCU Drives Motor Control Applications

HSINCHU, June 15, 2022 /PRNewswire/ In recent years, various industries including home electronics, business, industrial and medical care have vigorously embarked on their paths toward technological revolution against a backdrop of rapid development of industrial automation and increasing awareness of environmental protection. High performance motor driving control technology is gradually taking the place of traditional driving applications. In today's world, conventional and inefficient motors are being displaced by high performance motor driving system that is powered by an enhanced driver. Even the internal-combustion engine field is no exception. When it comes to the performance optimization of motor driving system, in addition to the internal characteristics of motor, the embedded driver places an important role in controlling the overall system performance. The microcontroller unit (MCU), as a core component in it, is key to the successful driver design and development. ARTE ....

Msps Adcs , Security Library , Bluetooth Low Energy , Floating Point Unit , June 15 , 022 Prnewswire In Recent Years , Arious Industries Including Home Electronics , Ndustrial And Medical Care Have Vigorously Embarked On Their Paths Toward Technological Revolution Againsta Backdrop Of Rapid Development Industrial Automation Increasing Awareness Environmental Protection High Performance Motor Driving Control Technology Is Gradually Taking The Place Traditional Applications In Today 39s World , Onventional And Inefficient Motors Are Being Displaced By High Performance Motor Driving System That Is Powered An Enhanced Driver Even The Internal Combustion Engine Field No Exception When It Comes To Optimization Of , N Addition To The Internal Characteristics Of Motor , He Embedded Driver Places An Important Role In Controlling The Overall System Performance Microcontroller Unit Mcu , Sa Core Component In It , S Key To The Successful Driver Design And Development Artery Technology At32 High Performance Arm Cortex M4f Mcu Embedsa Floating Point Unit Fpu Operates Ata Frequency Of Up 288 Mhz , Eaturing 512 Kbytes Zw Flash Zero Wait State , Hree 12 Bit 5 33msps Adcs , Ount And Capture Timers Based On 32 Bit Resolution , Nd Patented Code Protection Mechanism Further To This , Ts Highly Competitive Prices Add To Its Edge Among Application Markets , Aking It Best Suited To Motor Driven Applications The Company Is Proud Have This Opportunity Share Outstanding Features And Advantages Relating At32 Mcu Here Figure 1 Arm Cortex M4f Core With Fpu Fast Accurate Computing Power Isa Major Step Guarantee Good Vector Control System Indicators Concerning Include Voltage Current Coordinate Transform , Osition Speed Current Control , Nd Rotor Pole Position Estimate In Sensorless Mode , Mong Others At32 Cortex M4 Mcu With Fpu Makes It Easier To Implement These Algorithm , Hanks To Its High Speed Computation Capability And Precision Feature 2 288 Mhz Max Frequency As Chinese Saying Goes , Uot In The World Of Kungfu , Peed Defines The Winner Quot At32 Cortex M4f Mcu Operates Ata Frequency Of Up To 288 Mhz , Elivering Fast And Efficient Algorithm Capability ,

Edge Machine Learning Enablement Market to Exceed US$5 Billion by 2027

SINGAPORE, June 9, 2022 /PRNewswire/ In recent years, the industry has witnessed the migration of Machine Learning (ML) closer to the data source to create a better user experience and enhance privacy. To ease the challenges in design and development and accelerate adoption, many companies are offering development platforms, tools, libraries, and solutions for edge ML applications. As the adoption of these edge ML enablement platforms and solutions continue to grow, ABI Research, a global technology intelligence firm, is forecasting the edge ML enablement market to exceed US$5 billion by 2027. Edge ML brings a significant upgrade in user experience, privacy protection, and cost optimization for end users. In addition, popular applications such as image recognition, predictive maintenance, and speech processing augment human experts with data-driven insights. However, to create a production-ready, enterprise-grade, edge ML solution, enterprises need to invest in large amounts of skill ....

Jye Su , Deborah Petrara , Research Edge Ml Enablement , Development Platforms , Machine Learning , Research Director , Artificial Intelligence , Edge Impulse , Application Analysis , June 9 , 022 Prnewswire In Recent Years , He Industry Has Witnessed The Migration Of Machine Learning Ml Closer To Data Source Createa Better User Experience And Enhance Privacy Ease Challenges In Design Development Accelerate Adoption , Any Companies Are Offering Development Platforms , Nd Solutions For Edge Ml Applications As The Adoption Of These Enablement Platforms And Continue To Grow , Abi Research , A Global Technology Intelligence Firm , S Forecasting The Edge Ml Enablement Market To Exceed Us 5 Billion By 2027 Bringsa Significant Upgrade In User Experience , Privacy Protection , Nd Cost Optimization For End Users In Addition , Opular Applications Such As Image Recognition , Predictive Maintenance , Nd Speech Processing Augment Human Experts With Data Driven Insights However , O Createa Production Ready , Enterprise Grade , Dge Ml Solution , Nterprises Need To Invest In Large Amounts Of Skill Sets Quot Truly Benefit From The Benefits Edge Ml Applications ,