Precision timing keeps critical systems connected. Meet our experts at ITSF 2026 to explore resilient timing solutions and find the right approach for your application. mchp.us/4y5iL8Z #ITSF2026 #Synchronization
As AI data centers consume more power, every watt matters. Our Kevin Speer discusses the benefits of SiC technology in solid-state transformers (SSTs), an emerging solution for improving efficiency and supporting scalable AI data center infrastructure. Listen to the Power Corner interview with Aalyia Shaukat from Power Electronics News: mchp.us/4dNBKNm. @Pwrelectronics #SiC #AIDataCenters #PowerManagement
Modern infrastructure runs on synchronized time. Discover why resilient timing is essential for autonomous systems, smart grids and connected networks. Read the blog for details: mchp.us/47E7Yab. #Timing #Synchronization #CriticalInfrastructure
What matters most to your team when evaluating a new MCU platform: portfolio breadth, migration support, or engineering resources? We genuinely want to hear from you, drop a comment below and share what you're looking for in your next design: mchp.us/4yVf6ed. #MicrochipTechnology #MCU #EmbeddedSystems #Semiconductors
The road to software-defined vehicles is through intelligent platforms. At Electronica, join our Matthias Kaestner and other industry experts to hear about the technologies and challenges shaping tomorrow’s mobility. The forum organized by EE Times will take place on November 10, 2026 at 10:35 a.m. GMT at the Semiconductor Innovation Stage in Booth C6-241 or you may attend virtually: mchp.us/482wX7g. #Electronica #Mobility
Explore 63 practical embedded control training courses, connect with our technical experts and gain actionable insights to tackle your embedded design challenges. Join us at India MASTERs 2026 in Bengaluru December 15‑18, 2026. Early‑bird offer closes soon so secure your seat by November 15th. Register: mchp.us/4yLHQGh. #MASTERs #EmpowerInnovation #TechnicalTraining #EmbeddedControl
Join us on Thursday, November 5, 2026 at 5:00 p.m. (Eastern) for Microchip’s Q2FY27 financial results call: mchp.us/4zVtUd8. #MCHP #Financial #QuarterlyEarnings #Earnings #Semiconductors #Technology
Discover new solutions in our product roundup featuring the 3.3 kV HV-D3 Gate Driver Reference Design, MCP6446/7/9 Op Amps and 25CSM01 SPI EEPROM. These products are designed to help engineers accelerate development, reduce power constraints and offer secure memory. Learn more here: mchp.us/3UqEVEg. #ProductRoundup #Memory #Power
Build smarter automation systems with less networking complexity. Learn how integrated industrial Ethernet solutions can help speed validation and improve reliability: mchp.us/4klV8oz. #IndustrialEthernet #Networking #Automation
As RISC-V® adoption grows, developers need confidence in the ecosystem supporting their designs. To help address this, we’re collaborating with Quintauris to strengthen the standards, software foundations and validation practices that enable greater compatibility and help reduce development risk. mchp.us/4syUMxb
#RSICV #MCU #EmbeddedDesign
From sensor to insight, fast.
Why designers continue to choose CoaXPress.
Read the blog: mchp.us/4j0Lkjd.
#Microchip #MCHP_CoaXPress #AI_Vision #CoaXPressSolutions #CoaXPress_Connectivity
Preparing for post-quantum cryptography is no longer optional. Learn how government policies are driving demand for long-life quantum-resistant embedded security. Read the blog: mchp.us/3VuHi9h. #PQC #EmbeddedSecurity #Cybersecurity
Run AI workloads at the edge with significantly lower power consumption.
Analog compute-in-memory (aCIM) technology is changing how AI inference is performed by processing data directly within memory, reducing the energy and data movement associated with conventional architectures.
Our subsidiary Silicon Storage Technology (SST) developed memBrain SAGE IP using embedded SuperFlash® technology to enable energy-efficient AI processing in ASIC and SoC designs.
Discover how AnalogAI is leveraging this technology to develop ultra-low-power edge AI processors designed for on-device inference and adaptation, with applications in robotics, autonomous vehicles, industrial automation and more.
Read how analog AI and compute-in-memory are advancing energy-efficient edge intelligence: mchp.us/4stKAWB.
@EEJournalTFM #EdgeAI #AnalogAI #ComputeInMemory #Semiconductors
Korea MASTERs 2026 has successfully concluded after three days of immersive training, insightful workshops and valuable networking. Thank you to everyone who joined us and made the event a meaningful experience. We look forward to continuing this journey with you. #KoreaMASTERs2026
Remove storage bottlenecks from AI workloads. Our ZeroQ innovation enables more efficient SSD access to support larger, faster and lower-power AI systems. Read the blog to learn how: mchp.us/3Vb3dlP. #AI #NVMe #DataCenter
Build smarter, more connected and efficient industrial systems. Discover our latest innovations in robotics, intelligent sensing and advanced control at SPS Europe in Nuremberg. Connect with our experts November 24-26, 2026 in Hall 6, Booth 250, and explore solutions to accelerate your next design. mchp.us/4BBRy07 #SPS_live #Industrial #Robotics #IntelligentSensing
As intelligent computing moves closer to the edge, the demands on industrial networks are increasing. To address this need, we’re expanding our industrial edge networking solution stack with EtherCAT® and Time-Sensitive Networking (TSN) capabilities on our power-efficient PolarFire® FPGA platform. Learn how these technologies support deterministic, real-time communications for AI automation, robotics and Industry 4.0 applications: mchp.us/4imCN8q.
#FPGA #EtherCAT #TSN #IndustrialAutomation #Robotics
Choosing the right programmable logic can simplify your next design. Explore the tradeoffs between CLBs, CPLDs and FPGAs for embedded applications. Read the blog: mchp.us/4yqE0CA. #ProgrammableLogic #EmbeddedSystems #SystemDesign
What if AI could do more than recognize the world around it, and actually respond to it?
Physical AI is enabling a new generation of intelligent, autonomous systems that can sense, reason and act in real time. By bringing these capabilities to the edge, developers can reduce latency, optimize power consumption and create more efficient, responsive solutions.
In this article, Mark Reiten, Senior Corporate Vice President of our Intelligent Compute Business Unit, explores how the evolution from perception to action is unlocking new possibilities for robotics and other physical AI applications.
Discover what it takes to bring physical AI to life at the edge.
mchp.us/4sy3Mmb
#PhysicalAI #EdgeAI #EmbeddedInnovation
See how dsPIC33AK and AVR SD enable higher Functional Safety by Decomposition with a reactive fail-safe approach. Whitepaper: mchp.us/4q6y8uK. #FunctionalSafety #SIL #ASIL

















