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Data engineering for AI is not the same discipline as data engineering for analytics. Analytics pipelines are optimized...

The framing of human-in-the-loop versus full automation is itself slightly misleading, because the decision is rarely binary. Most...

The gap between a stated accuracy figure and production data quality is not primarily a matter of vendor...

Data collection and curation at scale presents a different class of problem from small-scale annotation work. Quality assurance...

The gap between benchmark performance and production performance is well understood among practitioners, but it rarely changes how...

The difficulty of multimodal training data is not simply that there is more of it to produce. It...

The premise of enterprise LLM fine-tuning is straightforward enough to be compelling. Take a capable general-purpose language model,...

Every autonomous driving program reaches a moment when the question shifts from whether the technology works to where...

Spend a week reading humanoid robotics coverage, and you will hear a great deal about joint torque, degrees...

The argument for extensive real-world testing in ADAS development is intuitive. Drive enough miles, encounter enough situations, and...

Autonomous driving systems do not navigate purely based on what their sensors see in the moment. Sensors have...

Current publicly available datasets reveal just how skewed the coverage actually is. Analyses of major benchmark datasets suggest...