Beyond RGB: The Rise of Hyperspectral Rendering and Synthetic Data
Hyperspectral and multispectral imaging expose what RGB cannot: the continuous variation of light across wavelengths.
InCabin.Sensing USA 2025: What OEMs Are Struggling with — And Why Data Is the Bottleneck
Insights from InCabin.Sensing USA 2025 and what they mean for DMS/OMS teams building for L2–L4 autonomy.
With What Accuracy Levels Can We Get Away in Computer Vision?
There’s no magic number. No single threshold that separates “good” from “bad.” 80%, 90%, 99% — these values mean nothing until you define the context: dataset complexity, operational risk, and task type.
Why Real-World Data Will Fall Short in Your Computer Vision Project in 2026
Explore 2026 computer vision trends and the limits of relying solely on real-world data.
Synthetic Data vs Real Data – How to Choose?
Learn when synthetic or real data works best, how each affects AI performance, and why a hybrid approach gives the most reliable and scalable machine learning results.
Why do we need synthetic data?
Discover how synthetic data steps in when real-world data falls short.
Synthetic Data in 2030 – Technologies, Shifts and Challenges Ahead
See how synthetic data will evolve by 2030, which technologies will drive growth, and what challenges and standards will shape the next decade of AI development.
Is Data Science an Actual Science?
Is data science an actual science? Our answer has evolved with the discipline itself: data science is not merely a tool for science—it is science, extended into new domains of perception.
7 pillars of trust: how to build AI you can truly trust?
Check out the major criteria every trustworthy AI system should meet, and why they matter for building reliable and responsible models.
How Synthetic Data Accelerates MLOps at Scale?
Explore how synthetic data removes bottlenecks, speeds up MLOps, and strengthens training pipelines with scalable, controlled, and instantly annotated datasets.
MLOps in practice: SKY ENGINE AI's broad applications
MLOps in practice: SKY ENGINE AI's broad applications from factories to medicine and drones
How Synthetic Data Solves Rare-Event Modeling Problems?
Learn how synthetic data fills gaps in rare-event modeling, strengthens AI robustness, and safely simulates edge cases that real datasets can’t capture.