Ambiq unveils Apollo510B SoC with BLE 5.4 & Cortex-M55 for edge AI in wearables and smart devices.

Ambiq has announced the Apollo510B, an expansion of its Apollo5 family with a wireless-capable System-on-Chip (SoC) designed for energy-efficient edge AI devices. Featuring an integrated 48MHz network processor and BluetoothLE5.4, this SoC delivers up to 30× better power efficiency and 16× faster AI performance than Cortex-M4 counterparts. #Apollo510B #EdgeAI #UltraLowPower #BluetoothLE54 #ArmCortexM55 #TurboSPOT #IoT #Wearables #SmartDevices #RemotePatientMonitoring #IndustrialAutomation #powerelectronics #powermanagement #powersemiconductor https://lnkd.in/dXnkAPku

Energy-Efficient On-Device AI: Ambiq Apollo510B Wireless SoC The race to bring intelligence directly onto ultra-low-power devices just progressed. Ambiq’s newly announced Apollo510B SoC (Aug 2025) pushes the boundaries of what’s possible for wearables, smart sensors, and always-on AI applications. At its core, the Apollo510B integrates a 250 MHz Arm Cortex-M55 with Helium vector extensions and Ambiq’s turboSPOT® dynamic voltage scaling. The result? 30× better power efficiency and 16× faster performance compared to Cortex-M4 MCUs. But performance isn’t the only story: - 3.75 MB system RAM + 4 MB flash support larger, more capable ML models. - Built-in Bluetooth LE 5.4 and a 48 MHz network coprocessor enable robust connectivity. - Integrated graphiqSPOT GPU brings smooth 2D/2.5D graphics to resource-constrained devices. - secureSPOT 3.0 + TrustZone offer hardware-level security and OTA firmware protection. - High-fidelity audio I/O opens the door to always-listening, ultra-low-power voice assistants. The Apollo510B enters a competitive field alongside Renesas’s RA8P1 MCUs (1 GHz Cortex-M85 + Ethos-U55 NPU) and edge-focused NPUs like Axelera’s Metis M.2 Max. The spectrum is clear: from ultra-efficient MCUs powering wearables to heavy-hitting NPUs running large models at the edge. For embedded engineers and product designers, the Apollo510B allows meaningful AI on the smallest, most power-sensitive devices. Think medical wearables, industrial IoT, and edge-first consumer electronics—all benefiting from intelligence that doesn’t rely on the cloud. The Apollo510B is a signpost for where ultra-low-power AI silicon is headed. #EdgeAI #Ambiq #Apollo510B #LowPowerAI #EmbeddedML #embeddedAI

This is how far we have come! #Apple’s new #M4Chip is raising the bar for performance and efficiency, but did you know what exactly makes it so powerful? Built on a #3Nanometer process, the M4 packs about #28Billion transistors into a single chip. This incredible density allows it to deliver #HigherPerformance while using #LessPower, a key requirement as devices get thinner, lighter, and more energy-efficient. Shrinking transistor size means signals travel shorter distances, reducing energy loss and heat buildup while increasing speed. That is why the M4 can manage everything from #AI powered applications to 4K video editing while still managing to preserve battery life. It also continues Apple’s trend of integrating powerful #CPUs, #GPUs and #NeuralEngines into a single #SoC (System on a Chip), ensuring faster communication between components and improved overall efficiency. Breakthroughs like the M4 prove that high performance with low power is not merely possible. It is rather quickly becoming the new standard, driving a shift toward devices that deliver more capability, last longer on a single charge and open doors for entirely new design possibilities. #ADME #ADMETech #AppleM4 #Semiconductors #ChipDesign #ElectronicsInnovation #FutureOfTech #HighPerformanceComputing #IoT #EmbeddedSystems

Hi folks! SiTime just dropped a bombshell on the $4B resonator market with their new Titan MEMS platform. This is a massive shift from their traditional oscillators and a direct challenge to quartz dominance. Here’s why it matters for embedded design: • 𝗥𝗮𝗱𝗶𝗰𝗮𝗹 𝗠𝗶𝗻𝗶𝗮𝘁𝘂𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻: A 0.46 x 0.46 mm CSP is up to 7x smaller than a 1210 quartz package. This is a game-changer for wearables and IoT, freeing up precious PCB real estate for features like on-device AI/ML. 🤏 • 𝗦𝘂𝗽𝗲𝗿𝗶𝗼𝗿 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: Built on their 6th-gen MEMS tech, Titan boasts: - 𝟱𝘅 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝗴𝗶𝗻𝗴 𝘀𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 - 𝟱𝟬𝘅 𝗯𝗲𝘁𝘁𝗲𝗿 𝘀𝗵𝗼𝗰𝗸 & 𝟯𝟬𝘅 𝗯𝗲𝘁𝘁𝗲𝗿 𝘃𝗶𝗯𝗿𝗮𝘁𝗶𝗼𝗻 𝗿𝗲𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲 - 𝟱𝟬% 𝗹𝗼𝘄𝗲𝗿 𝗼𝘀𝗰𝗶𝗹𝗹𝗮𝘁𝗼𝗿 𝗰𝗶𝗿𝗰𝘂𝗶𝘁 𝗽𝗼𝘄𝗲𝗿 & 𝟯𝘅 𝗳𝗮𝘀𝘁𝗲𝗿 𝘀𝘁𝗮𝗿𝘁𝘂𝗽 𝘁𝗶𝗺𝗲𝘀 → enabling ultra-precise duty-cycling for massive system-level power savings. ⚡ • 𝗗𝗿𝗼𝗽-𝗶𝗻 𝗤𝘂𝗮𝗿𝘁𝘇 𝗥𝗲𝗽𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁: The real genius? Electrical compatibility with existing MCU/SoC oscillator interfaces. This allows for a seamless design-in without years of re-validation or new silicon. It also enables co-packaging as a known good die to simplify layouts and free up GPIOs. 🔧 This could fundamentally change how we approach timing in space-constrained, power-sensitive designs. What’s your take? Is this the beginning of the end for quartz resonators in high-volume applications? Read the full news at https://cstu.io/953270 and let's discuss! #MEMS #EmbeddedSystems #IoT #HardwareEngineering

KYOCERA AVX just unveiled some of the smallest, most efficient 2.4GHz chip antennas for the booming SiP market, powering wearables, smart home sensors, healthcare devices, and more. With the SiP market set to more than double by 2031, it raises a bigger question: What new applications will emerge as antennas keep shrinking, while performance keeps rising? Working with innovators like KYOCERA AVX, I see this trend accelerating every day. Where do you think the biggest impact of ultra-compact antennas will be felt next? #antennas #wireless #IoT #5G #semiconductors https://lnkd.in/eJ3ju8CB

Ambiq #Apollo510B enhances #EdgeAI with energy-efficient wireless connectivity The #Apollo510B’s rich set of peripherals makes it ideal for always-on, intelligent, and connected devices, particularly in body-worn and ambient AI applications. Its advanced memory architecture enables fast execution and real-time data processing, while# secureSPOT® 3.0 and Arm TrustZone® provide secure boot, firmware updates, and protection of interoperability and data exchange across diverse edge devices, specifically for wearables, smart glasses, remote patient monitoring, asset tracking, and #industrialautomation. 

RISC-V's Edge & IoT Takeover: Billions of Open-Source Cores Drive 2025 Tech Revolution: Big wins in IoT and automotive: From wearables to cars, RISC-V is making inroads. Amazfit smartwatches (by Huami) use custom RISC-V chips for AI ... #iot #data #internetofthings

🚀 Demystifying Processors: From CPUs to NPUs In today’s tech-driven world, processors are everywhere – powering your phone, car, laptop, and even the AI models behind generative tools. 🤔But did you know there are different types of processors, each designed with a specific purpose in mind? 💡 Each comes with unique applications, from cloud computing to automotive, IoT, telecom, aerospace, and AI. 🚀 “The brains behind modern tech: A deep dive into different processor types and their applications.” #Semiconductors #Processors #ChipDesign #ElectronicsEngineering #HardwareDesign #Learning #CareerGrowth #ProfessionalDevelopment #STEM #KnowledgeSharing #ArtificialIntelligence #MachineLearning #AIChips #NPUs #QuantumComputing #FutureOfTech #qsemi #bengaluru #karnataka

was reading through ARM ( Advanced RISC Machine ) architectures and fascinated by its evolution. a quick note on it's RISC history as below from 1970s to till date. ARMv1 ARMv2 ARMv3 ARMv4 ARMv5 ARMv6 ARMV7 - Cortex A, Cortex R, Cortex M series starts here ARMv8 ARMv9 - Cortex X, Cortex C series Cortex A - Application Processors - High performance computing - Smartphones, tablets, TV, Automotive infotainment Cortex R - Real Time Processors - Deterministic, safety critical - Industrial robotics, Automotive ECUs ( Airbags, ABS), medical Cortex M - Microcontrollers - Ultra Low power, cost effective - IoT, Wearables, smart appliances ARMv9 - Cortex C and Cortex X series Cortex X - Performance demanding applications Cortex C - AI acceleration ( Lumex - latest compute from ARM ) Now you can check your project and see what ARM series is your semiconductor using and relate to it.

🚀 𝗥𝗲𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗠𝗶𝗰𝗿𝗼-𝗘𝗹𝗲𝗰𝘁𝗿𝗼-𝗠𝗲𝗰𝗵𝗮𝗻𝗶𝗰𝗮𝗹 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗠𝗘𝗠𝗦) The MEMS market is forecast to grow from USD 𝟭𝟱.𝟮𝟵 𝗕𝗶𝗹𝗹𝗶𝗼𝗻 in 2024 to USD 𝟮𝟱.𝟯𝟴 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 by 2034, at ~𝟱.𝟮% 𝗖𝗔𝗚𝗥. ⚡ 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗗𝗿𝗶𝘃𝗲𝗿𝘀:  1) Miniaturization across devices  2) Smartphone & wearables integration   3) ADAS/automotive safety systems  4) IoT + AI/ML-enabled smart sensing 🌎 𝗠𝗼𝗺𝗲𝗻𝘁𝘂𝗺: Strongest in Asia Pacific, fastest growth in North America. 🏢 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗼𝗿𝘀: Bosch Sensortec GmbH, STMicroelectronics, Analog Devices, Murata, TDK. 🔍 𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲: MEMS + edge AI will turn sensors into real-time decision engines. 👉 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Micro-Electro-Mechanical System (MEMS) Market Size & Share… 2025–2034 - Fundamental Business Insights. #Innovation #AI #DigitalTransformation #MarketResearch #MEMS #IoT #EdgeComputing #Semiconductors #MicroElectroMechanicalSystems #FBI #FundamentalBusinessInsights