Microchip Technology Incorporated · NASDAQ:MCHP
Microchip Technology — Technical Presentation (September 2022)
23 slides from Microchip Technology's technical presentation, Sep 9, 2022
Slide 1: Artificial Intelligence of Things
Artificial Intelligence of Things A Leading Provider of Smart, Connected and Secure Embedded Control Solutions Presented by Thomas Gotsch – 9th of September 2022
Slide 2: Corporate Overview
Corporate Overview Leading Total Systems Solutions Provider: • High-performance standard and specialized • Clock and Timing solutions Microcontroller, Digital Signal Controller and • Wireless and Wired Connectivity solutions Microprocessor solutions • FPGA solutions • Mixed-Signal, Analog, Interface
Slide 3: Providing System Solutions
Providing System Solutions Portfolio of Hardware, Software and Services Power Management RFICs MMICs DC-DC Converters Encryption Supervisors & Ref. & High Voltage Precision LDOs, Battery Mgt. Digital Security I/Os Voltage Discretes & Modules Potentiom eter Reference Motor Sensors Drivers Am plifiers
Slide 4: MCHP Solutions for AI and ML
MCHP Solutions For AI and ML https://www.microchip.com/design-centers/machine-learning https://www.microchip.com/ml 4 6 September © 2022 Microchip Technology Inc. and its subsidiaries
Slide 5: Six MegaTrends
Six MegaTrends IoT/Edge Computing 5G AI/Machine Learning Data Centers ADAS/Autonomous Driving Electric Vehicles 5 6 September © 2022 Microchip Technology Inc. and its subsidiaries
Slide 6: What is AI, ML and DL?
What is AI, ML and DL ? What is Artificial Intelligence? • A non-human program or model that can solve sophisticated tasks • Formally, machine learning is a sub-field of artificial intelligence focused on developing algorithms that learn to solve problems by analyzing data for patterns. However, in
Slide 7: Machine Learning
Machine Learning What is Machine Learning ? ▪ A program or system that builds and trains a predictive model from input data. The system uses the learned model to analyze data for patterns and make useful predictions from new data. ▪ Machine-learning algorithms use statistics to find patterns in mass
Slide 8: Today's Need for AI and ML
Today‘s Need for AI and ML Markets and demands Detection of legal documents Smart video surveillence Autonomous Driving PCB inspection Autocompletion SPAM classification Sport tracker 8 Movie recommendation Analyze medical observation 6 September © 2022 Microchip Technology Inc. and its subsidiaries
Slide 9: Tomorrow's Need for AI and ML
Tomorrow‘s Need for AI and ML Markets and Demands ML based predictive Maintenance Autonomous Flying AI Guided B2B Selling AI & Blockchain Medical Prediagnosis and Contract Management Treatment suggestion 9 6 September © 2022 Microchip Technology Inc. and its subsidiaries
Slide 10: Machine Learning with Microchip
Machine Learning with Microchip Highly efficient, low ML based audio and High performance, Implement ML based power, low cost HMI like gesture high port count PCIe predictive maintenance implementation of recognition on MCU. switch enable using our MCU solutions neural networks as well interconnecti
Slide 11: Silicon for Each Stage of ML Data Flow
Silicon for Each Stage of ML Data Flow 11 6 September © 2022 Microchip Technology Inc. and its subsidiaries
Slide 12: How can AI help our clients?
How can AI help our clients ? Our clients‘ BIG 3 Grow Revenue • Improving the usage of available data and discover insights within a larger collection of data our clients already own, to enable new business models or extend existing ones. Manage Risk • Improve the decision making process through the
Slide 13: Source: Google
Source: G oogle 13 6 September © 2022 Microchip Technology Inc. and its subsidiaries
Slide 14: IoT Endpoints Have Sensors, Tons of Sensors
IoT Endpoints Have Sensors, Tons of Sensors Recent Trend: Push the data processing to the “Edge” Edge Cloud Motion Se nsors Acoustic Sensors Envi ronme ntal Se nsors G yroscope, radar, Ultrasonic, M icrophones, Temperature, Humidity, magnetometer, accelerator G eophones, Vibrometers Pressure, IR, et
Slide 15: Endless List of Applications for Sensors + ML at the IoT Edge
Endless List of Applications for Sensors + ML at the IoT Edge 15 6 September © 2022 Microchip Technology Inc. and its subsidiaries
Slide 16: Getting Started with MCHP ML
Getting Started with MCHP ML MCU ML Evaluation Boards, Platforms and Demos
Slide 17: Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning Make your IoT Sensor Smarter • Easy to implement • Partners integration within MPLAB® IDE • Complete flow from Data generation to Chip programming • No deep knowledge on ML needed • Any application with a Microchip’s Arm® Cortex®-based 32-bit MCU/MPU • An
Slide 18: Predictive Maintenance at the Edge
Machine Learning Predictive Maintenance at the Edge ▪ Microchip has a dedicated solution to implement a ML based predictive maintenance ▪ MCHPs MCU solutions were specialized for motor control, power management and thermal management ▪ Microchips partner SDKs enables clients to rapid prototype their
Slide 19: Edge Impulse Demo - Human Activity Detection
Edge Impulse Demo - Human Activity Detection Demo Project Files and Documentation on microchipdeveloper.com • Link: https://microchipdeveloper.com/machine-learning:smartbell-with-edge-impulse • Clone EI Project Link: https://microchipdeveloper.com/machine-learning:smartbell-with-edge-impulse 19 6 Se
Slide 20: Microchip ML Partners
Microchip ML Partners omam == EDGEIMPULSE ‘SansilVIL AS\ Microcuie
Slide 21: SensiML – Company Overview
SensiML – Company Overview ▪ SensiML is a B2B software tools company for AI at the IoT edge • Enables developers to create ultra-compact ML sensor models without data science expertise • Models as small as 10KB! • Former Intel Curie/Quark MCU AI software tools team, • left to form SensiML in 2017 ▪
Slide 22: Stream Analyze – Company Overview
Stream Analyze – Company Overview Stream Analyze is a software and design partner, that allows you to have an interactive dialogue with your products and/or assets. Major strengths of SA: ▪ SA fits onto any Microchip device or asset. ▪ Regardless of size, shape or form, SA allows you to ask your dev
Slide 23: Thank You!
Thank You ! Time for Q&A ! AS\ Microcuie
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