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COREDUMP #004: The Future of Edge AI and What it Means for Device Makers

Join the Founders of Memfault as they dive into this trend alongside special guest Alexander Samuelsson, CTO and Co-Founder of Imagimob (an Infineon Technologies company). This conversation on The Future of Edge AI and What It Means for Device Makers will explore how advancements in Edge AI are reshaping the embedded landscape, from hardware design to edge AI model development.

How IoT Brands Waste Money #iot #embeddedprogramming

IoT margins are already tight—why make it worse? Many companies are throwing away money on preventable costs like unnecessary RMAs, bloated customer support, and costly technician visits. But there’s a better way: Observability and OTA updates can help reduce churn, cut support costs, and eliminate waste. We just watched a customer slash support tickets by 30% and RMAs by 50% using Memfault’s observability data. These are real numbers, real savings, and real impact.

AI Wearables: Why Startups Have the Advantage Over Big Tech

Big tech has the resources, but startups have the real advantage in AI wearables: speed, agility, and the freedom to take risks. Right now, the AI wearable market is in the wildcard phase—no dominant device, no set form factor, and no clear winner. That’s a massive opportunity for smaller teams that can move fast, test in the field, and refine in real time. Unlike big tech, startups don’t need a five-year roadmap. They can launch quickly, experiment aggressively, and pivot without worrying about shareholders.

Smart Sensors & Digital Wallets: How IoT Devices Are Becoming Financial Endpoints

Remember when sensors were just simple devices that could detect temperature or motion? Today, these smart devices are turning into tiny banks capable of making and receiving payments all by themselves, even tracking cryptocurrency stats like the Aixbt price in real-time. Let's explore how the IoT is changing the way we think about financial transactions.

Meta's Big Bet on AI Wearables

Meta is making a massive push into AI wearables, with at least six new devices launching in 2025. But here’s the catch—this wasn’t originally about AI. Meta built its hardware for the metaverse, only to find itself at the center of the AI revolution. With over 1 million Ray-Ban smart glasses already sold (and a goal of 5 million in 2025), it’s clear there’s demand. But can Meta actually scale this initiative from within, or will they lean on brand partnerships like Oakley to expand?

Integrating IoT Devices with Feedlot Management Systems for Enhanced Data Collection

The agricultural industry is undergoing a technological revolution, and the livestock sector is no exception. With increasing global demand for meat production, feedlot operations must maximize efficiency, ensure animal welfare, and optimize resource utilization. The integration of Internet of Things (IoT) devices with feedlot management systems offers a groundbreaking approach to data collection, providing real-time insights and improving decision-making processes. This article explores how IoT enhances feedlot management, the benefits of integration, challenges, and future prospects.

The One Thing Most Engineers Don't Understand (But Should)

How can engineering teams have a bigger impact on the bottom line? By thinking beyond code. Most engineers love to build and solve problems. But in a business, building for the sake of building isn’t enough. Even the cleanest code is just an expensive distraction if it doesn’t move the needle.

How IoT Brands Waste Money

Some IoT companies are making money; others are leaking it. Margins in IoT are already tight, but many brands are losing cash in ways that are completely preventable. RMAs, bloated customer support costs, churn, and on-site technician visits all add up. Too many companies default to replacing hardware instead of fixing the code. Without OTA updates and remote diagnostics, budgets get drained by unnecessary shipping and support costs.

Linux Coredumps (Part 1) Introduction

One of the core features of the Memfault Linux SDK is the ability to capture and analyze crashes. Since the inception of the SDK, we’ve been slowly expanding our crash capture and analysis capabilities. Starting from the standard ELF coredump, we’ve added support for capturing only the stack memory and even capturing just the stack trace with no registers and locals present.

AI in Embedded Systems: A Black Box You Must Learn To Control

AI isn’t predictable, it adapts, making embedded engineering even more complex. A model that works in the lab might fail in the real world. So, how do successful teams deploy AI at the edge? A/B test models in the field—controlled environments aren't enough. Collect real-world performance data—observability tools are key. AI deployment isn’t a one-and-done process. It requires constant iteration and real-world validation.