Our Spatial-Temporal Consistent 4K Video Super-Resolution system is a next-generation AI solution powered by diffusion models, designed to restore and enhance video quality with exceptional realism and stability. Unlike conventional video super-resolution approaches, our system addresses three critical industry challenges: The system can upscale videos from any input resolution to true 4K, producing visually consistent and high-quality outputs suitable for…
When we kicked off the “Vibration Analysis for Remaining Useful Life (RUL) Prediction” project, the goal sounded simple: let vibration traces tell us how much runway a pump still has before it fails. In practice it meant weaving together messy CSVs, a flurry of feature ideas, and every model in our toolbox—from trusty regressors to experimental transformers. This post is…
When Tencent Street View invited us to tackle their patchwork of masked frames—think pedestrians, scaffolding, or obtrusive cars—we jumped at the chance. The image completion engine we delivered now fills gaps so convincingly it helped the program earn the First Prize of the China Electronics Society Science and Technology Progress Awards. What we built Why it was hard Street scenes…
Large language models write elegant prose, but medicine demands grounded reasoning, citations, and empathy. Our medical Q&A assistant adapts open-source LLM checkpoints to a tightly curated clinical corpus so that cardiology follow-ups, dermatology checklists, and general triage questions receive responses that feel both conversational and responsible. What we built Why it was hard Two forces pulled in opposite directions: rich…
Not every studio project is a full product launch. Some are quieter investigations where we benchmark algorithms, explore datasets, and map feasibility before we commit hardware engineers or field teams. Our ongoing machine-learning research diary captures those explorations. What we built Why it was hard Exploration work rarely comes with perfect KPIs. We needed to protect tinkering time while still…
If you have ever tried to run a desktop-grade super-resolution model on an embedded board, you know the pain: fans spin, latency spikes, and the battery wilts. Our lightweight device-side video super-resolution effort set out to change that. We distilled a model with fewer than 100K parameters that can upscale SD, HD, or full HD footage to 4K in real…
The brief was audacious: deliver person, vehicle, obstacle, speed, lane, plate, and traffic sign recognition at 30+ fps, and ship it inside a device no bigger than a pack of cigarettes. Our embedded ADAS stack now lives on fleet dashboards to keep drivers safer without cloud dependencies. What we built Why it was hard A jam-packed feature list strains both…
Our collaboration with Duke University’s medical school supplied us with rich—but messy—volumes of CT and MRI scans. The goal: segment complex organs and vasculature in full 3D so surgeons and researchers can study change over time, not just slice by slice. What we built Why it was hard Three-dimensional data is huge. Memory pressure forced us to invent chunked training…
XR experiences live or die by stitching seams. Inspired by Insta360-style capture rigs, we built a real-time panorama fusion stack that outputs natural-looking spheres without the ghosting you see in naïve alpha blending. What we built Why it was hard Perfect seams need both photometric and geometric agreement. Outdoor shoots throw brutal challenges—moving clouds, spinning selfie sticks, or spotlight flares…