Ambiq

Ambiq Micro, Inc. (“Ambiq”), a technology leader in ultra-low-power semiconductor solutions for edge AI, today announced the pricing of its upsized initial public offering. Read the announcement below: na2.hubs.ly/y0DFPP0 #edgeai #embedded #semiconductors #AMBQ

Enter Ambiq's secret weapon: SPOT Technology Most chips operate ABOVE the transistor threshold voltage (Vt). Ambiq operates BELOW Vt — using quantum tunneling effects to drive transistors with micro-currents. Result: Power consumption drops by orders of magnitude. 🤯

Power drops to 1/4. Ambiq's next-gen Atomiq chip runs at 300mV vs industry standard 700mV. That's not optimization. That's redefining the ceiling of efficiency at the semiconductor physics level. 🔬

Ambiq's Head of AI, Dr. Adam Page demos compressionKIT™, our next gen AI-based codec. With our SPOT® platform, we tackle the power demands needed to run high-performance edge AI with outstanding energy efficiency. With compressionKIT, we address the data representation layer of embedded systems by: 🟩 Compressing data by up to 20x while preserving the most important signal information needed for AI and analytics 🟩 Reducing on-device memory usage by up to 16x 🟩 Further improving the energy efficiency from reduced data transmissions The result is a more efficient edge intelligence pipeline that is practical and scalable. See the demo for yourself below: #edgeAI #embedded #semiconductors

⚡Big news from Ambiq! Today, we introduce compressionKIT™ — a next-gen AI-based codec in beta release designed to substantially reduce the power and memory demands of continuous sensor data in edge and wearable devices. As always-on devices from medical wearables to smart home and industrial sensors generate massive data streams, efficiency is everything. With compressionKIT, developers can: ✔️ Compress their data streams by up to 20x ✔️ Use up to 16x less on-device memory ✔️ Improve the battery life of devices through reduced data transmission Do more with less, while retaining the vital features needed to unlock new possibilities for edge AI. Learn more in the press release below: na2.hubs.ly/H05b9r30 #edgeAI #semiconductors #embedded

Edge AI is transforming healthcare by enabling smarter, more efficient devices that can monitor health, protect data, and deliver real-time insights directly on-device. In this conversation with Greg Caressi, Associate Partner and Chief Commercial Officer, Americas at Frost & Sullivan, Ambiq's CEO, Fumihide Esaka, discusses how ultra-low-power semiconductor innovation is helping shape the future of intelligent healthcare technology. Read Now: na2.hubs.ly/H058KBK0 #embedded #edgeai #digitalhealth #semiconductors

#TechXchangeTuesday: @Ambiq_AI's Atomiq SPOT-based #microcontroller includes an #NPU. Watch video: bit.ly/4et4qfz #MCU

Edge AI is here, but power, performance, and memory may still be holding teams back. What if you could push embedded systems further than you thought possible? Run incredible always-on intelligence that doesn't drain your battery or waste your limited resources like memory—all without compromising your edge device's performance? At AI⁺ Innovation TechCon 2026, Ambiq is showing how ultra-low-power innovation makes it possible. See real demos, from always-on ECG monitoring AI to audio processing, and memory compression. Learn how to build scalable, production-ready edge AI systems that take your edge devices further than before. 📍 Don’t miss Ambiq's Regional Sales Manager, Shawn Li, presenting these ideas at 2:00 PM. Register now: na2.hubs.ly/H051cC40 #edgeAI ##embeddedsystems #AI #semiconductors

As Edge AI continues to evolve, the limitations of interpreted runtimes are becoming more apparent. You get memory bloat from unused kernels wasting valuable embedded resources, less scalability the larger and more complex an AI model is, underutilized hardware and other inefficiencies at runtime. Our Head of AI, Dr. Adam Page, took the stage at Embedded World 2026 to showcase heliaAOT, as a solution to these problems, helping to deliver faster, more efficient AI to the edge with up to 60% smaller footprint and zero runtime overhead. Edge AI is evolving rapidly, so the tools should evolve as well. Watch now: na2.hubs.ly/H04_wKv0 #embedded #edgeai #semiconductors

The future of smart homes is moving to the edge—bringing always-on, ultra-efficient intelligence into everyday living. Ambiq’s Founder and CTO, Scott Hanson, is joining industry leaders at CONNECTIONS™, the premier connected homes conference, to discuss where smart home innovation is headed, how edge AI is reshaping connected living, and what’s next through 2030. From sensing to seamless automation, Ambiq is helping power the next wave of intelligent, low-power devices with our SPOT platform. Join us for an engaging panel session on May 7th at 11:45 AM PST at the Hyatt Regency in Santa Clara. Event details here: na2.hubs.ly/H04XzL40 Contact newsletter@ambiq.com for a discount registration code #embedded #edgeai #semiconductors #smarthome

We’re excited to see our next-gen product family getting some attention 👀 Ambiq's VP of Corporate Strategy, Dan Cermak, recently caught up with Bill Wong at Electronic Design on the upcoming Atomiq SoC and how it builds upon Ambiq's ultra-low power SPOT platform for Ambiq's most ambitious product for edge AI yet. Watch the full interview in the link below: na2.hubs.ly/H04T4nh0

As AI moves beyond cloud-centric models to edge devices, the focus is shifting toward energy-efficient, high-performance chips that can deliver real-time intelligence where data is generated. Read this full article by: Charlene Wan, @Ambiq_AI. timestech.in/ais-future-is-…

If you’ve tried deploying AI at the edge, you already know: performance, power, and complexity don’t always play nicely together. That's why at AI⁺ Innovation TechCon 2026, we're moving beyond theory to share what’s actually working for our customers. Join Ambiq's Regional Sales Manager, Shawn Li, for their session at 2:00 PM, titled: “Always-On Intelligence: Enabling Real-World Edge AI with Ultra-Low-Power Innovation” We’ll explore: • How to balance performance, power, and system complexity in real deployments • Why energy efficiency—not just compute—is the limiting factor for edge AI • How platforms like SPOT® and tools like neuralSPOT® SDK are accelerating production-ready solutions If you're thinking about building the next wave of edge AI products, this is a conversation you’ll want to be part of. 👉 Register and join us to see how always-on edge AI is becoming a reality: na2.hubs.ly/H04M9sV0 #edgeAI #semiconductors #embedded

"For years, AI has been dominated by the cloud, with its vast computing resources, high power consumption, and inherent latency. The next wave, however, is racing to the edge, where power is limited, latency matters, and privacy is paramount. Atomiq is explicitly designed for this new reality." The buzz around Atomiq is building 🚀 See what Clive Maxfield and EE Journal are saying in their latest coverage: na2.hubs.ly/H04DyrW0 #edgeAI #embedded #semiconductors

Join Ambiq at the AI⁺ Innovation TechCon on April 29th as we explore how ultra-low-power innovation is enabling the next wave of edge AI! At the event, we'll showcase: ✨Our latest SoCs powered by the SPOT platform to enable ultra-low power always-on intelligence 🤖 Live demos powered by the neuralSPOT SDK that include customizable AI models 🗣️ A featured presentation from Ambiq on achieving incredible energy efficiency and performance for edge AI with the Apollo510 SoC and neuralSPOT Register now to see the new possibilities for edge AI you can enable for your designs: na2.hubs.ly/H04zryy0 #embedded #edgeai #semiconductors

Atomiq is Ambiq's upcoming next gen SoC built for Ambitious edge AI. In the coming months, we'll be revealing more details about how Ambiq is tackling the memory efficiency challenge in AI systems on our most powerful and energy-efficient SoC yet. Learn more about Atomiq below and subscribe to our newsletter for the latest updates. na2.hubs.ly/H04xQWD0 #edgeai #semiconductors #embedded

For years, AI was a software-driven discipline defined by algorithms, models, and data, but over the past few years, we've seen a convergence to hardware. AI now lives on edge devices and the silicon that powers it. As AI becomes more capable, the limits of cloud reliance become clear: Implementing AI requires an extraordinary amount of energy that isn't scalable to the billions of edge devices such as wearables, medical devices, and industrial sensors. Ambiq's VP of Corporate Marketing, Charlene Wan, presents why moving AI to the edge is a more sustainable path, in this article from TimesTech. Read now: na2.hubs.ly/H04mFPK0 #embedded #edgeai #semiconductors

At this year's embedded world, edge AI chips and accompanying edge AI software played a key role in the strategy of semiconductor manufacturers. The display of integrated AI accelerators for always-on intelligence that runs locally on the device was in full force, signifying an emerging role edge AI is playing in technology. We are honored to be a part of Bill Curtis's 10 Strategic Trends Driving Embedded Systems article, highlighting our upcoming Atomiq SoC, as a breakthrough in energy efficiency with the first subthreshold design on a 12nm FinFET node, as well as our Best Tools of Show, heliaAOT compiler that creates a cohesive, hardware and software ecosystem advancing edge computing. Read the Forbes article below: na2.hubs.ly/H04jVtr0 #embedded #edgeai #semiconductors