At Embedded World 2023, Texas Instruments(TI) unveiled its newest product line named the MSPM0 microcontroller series. The new microcontroller series complements the existing MSPM0L and MSPM0G sub-series. What makes these announcements more interesting is their striking prices and the ability to cater for a wider set of newer applications. To know more about what’s going on inside TI’s MCU and MPU units, TIMES TECH BUZZ had an exclusive chat with Vinay Agarwal, Vice president, MSP Microcontrollers and Artem Aginskiy, General Manager, Arm-based Microprocessors, Texas Instruments unveiling the potential, design architecture of the new 32-bit general-purpose MCUs and TI’s new vision processor family enhancing edge AI performance. Edited Excerpts Below.
What happened at the Texas Instruments booth at Embedded World in Nuremberg?
A: At embedded world 2023, TIshowcased technologies that are “Advancing Intelligence and Electrification.” TI experts demonstrated embedded processing and electrification innovations including new Arm Cortex-M0+ microcontrollers (MCUs) and vision processors for edge AI applications, as well as other embedded technologies in applications for advanced driver assistance systems (ADAS), robotics and renewable energy. Visit ti.com/embeddedworld to watch demonstration videos from the embedded world and learn more about the new products TI launched.
How are the new 32-bit general-purpose MCUs different to its predecessors?
A: New MSPM0 Arm Cortex-M0+ MCUs expand TI’s microcontroller portfolio to offer a wide range of cost-optimized computing options from 32 MHz to 80 MHz with math acceleration and multiple configurations of integrated analog signal-chain components, including the industry’s first zero-drift operational amplifier on an MCU and precision 12-bit, 4-MSPS analog-to-digital converters. This flexibility helps designers meet their current design requirements and plan for future designs – all within the same MCU portfolio.
What are the features and applications of the new 32-bit general-purpose MCU portfolio introduced at Embedded World?
A: MSPM0 Arm Cortex-M0+ MCUs deliver affordable, efficient general-purpose 32-bit processing for almost any application – ranging from electric toothbrushes to motor control in factories. At embedded world 2023, TI demonstrated how these affordable, easy-to-use MCUs can simplify the design of multiple applications, including battery management, motor control and medical applications.
TI also showcased how designers can save months of design time with innovative and intuitive software, design support resources and coding tools – including graphical tools that streamline device configuration – all created to help designers code once and then scale across future MSPM0-based designs. Designers can enhance system performance and memory utilization with the MSPM0 software development kit (SDK). This SDK provides a cohesive experience that includes a wide variety of drivers, libraries, over 200 easy-to-use code examples and subsystem reference designs.
Artem Aginskiy, general manager, Arm-based microprocessors
How does the new vision processor family enhance the edge AI performance in Smart Cameras?
A: The AM6xA family of vision processors are highly integrated Arm Cortex-based processors that enable more vision and AI processing in edge applications, with support for up to 12 cameras. These processors (six total at launch) feature an SoC architecture with an integrated AI accelerator for one to 32 TOPS of processing performance for advanced analytics capabilities in low-power applications ranging from video doorbells to autonomous mobile robots. These highly integrated processors are supported by open-source evaluation and model development tools, and common software – allowing designers to reuse code across AM6xA-based designs.
Beginning in Q2 2023, designers can accelerate time to market for their edge AI applications with a public beta of TI’s free open-source tool, edge AI Studio. This feature-rich, web-based tool allows users to test their models quickly and easily using pre-trained data models that are modifiable with user-uploaded data. Learn more about edge AI studio at dev.ti.com/edgeai
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How do two TI experts contribute to the development and optimization of the company’s MCU processors?
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