AI
Introduction Over the past decade, cloud inference has powered most large-scale machine learning systems — from recommendation engines to speech assistants. But as devices at the edge get faster, cheaper, and more privacy-aware, a hybrid pattern is emerging: compute just enough on the device to protect the user and reduce noise,
Hardware
A Printed Circuit Board is more than a carrier for signals; it is a communication medium. At Hoomanely, we operate on a core truth: PCBs are read by humans just as often as they are powered by electricity. From the engineer debugging a prototype on the bench to the technician
Firmware
Linker scripts are often treated as arcane build artifacts copied from reference projects, tweaked cautiously, and rarely revisited. That approach works until it doesn’t. As modern MCUs introduce fragmented memory regions, tightly coupled RAM, external flash, and DMA-sensitive buffers, vague linker assumptions quietly turn into runtime failures. This article
Software
At Hoomanely, we're building a pet care platform. Our app allows users to: * Upload pet photos during onboarding * Attach images to community posts * Share short video clips * Upload pet tag images * Submit food label photos for AI analysis * Update profile and cover photos Each of these flows generates
AI
Interactive AI experiences are different from traditional RAG pipelines. They exist inside tight user-facing latency boundaries where even a 300–500 ms delay can change how users feel about the system. A chat interface that responds instantly feels intelligent; one that hesitates feels broken. When retrieval sits on the hot
Software
Ask any pet parent about their anxious dog, and they'll give you a novel. Ask an AI assistant the same question without proper context, and you'll get generic advice that could apply to any animal, anywhere. Here's what we learned building Hoomanely's
Firmware
When DMA problems appear, they rarely announce themselves with a big red flag. More often, they show up as vague instability: a frame that arrives corrupted once every few thousand cycles, a sensor payload that occasionally looks stale, or a buffer that behaves differently at low throughput vs sustained load.
AI
Introduction On edge devices, every millisecond and every megabyte matters. Audio models must run reliably on low-power CPUs, handle noisy real-world environments, and deliver consistent predictions without draining battery or storage. Traditional deep audio models—large transformers or multi-million-parameter networks—struggle here. They are powerful, but far too heavy for
Software
Imagine this: You're chatting with an AI vet about your anxious rescue dog, Luna. Over hours, you've discussed her separation anxiety, dietary restrictions, medication schedules, and behavioural patterns. Then the next day, you ask a follow-up question about her progress—and the AI responds as if
Firmware
If you’ve ever shipped a long-running embedded product that relies on stable weight readings, you’ve likely learned a painful truth: load-cell systems rarely fail in the analog domain first they fail in firmware. Not because firmware is the root cause, but because firmware is the first place the