Research Report

Using KDB-X Python (PyKX) to Connect Python and q Applications

Bridging q and Python with KDB-X from the vantage point of a q programmer who is not a Python coder.

対象 Jeffry Borror • 11 6月, 2026

What’s new in KDB-X GPU Acceleration? Nested columns, profiling, and performance tuning

Explore the latest KDB-X GPU Acceleration updates, including nested column support, GPU profiling APIs, NVTX tracing, and memory tuning for faster analytics.

Temporal hallucination: When AI déjà vu gives the right answer at the wrong moment

Temporal hallucination happens when AI gives the right answer at the wrong time. In capital markets, that can mean stale context, look-ahead bias, and decisions that are difficult to defend. This blog explains why temporal AI infrastructure is essential for trustworthy, time-aware decision-making.

対象 Ashok Reddy • 2 6月, 2026

Continuous Financial AI: GPU-Accelerated Vector Search in KDB.AI with NVIDIA cuVS

See how KDB.AI and NVIDIA cuVS accelerate vector search and index builds, helping financial AI systems reason across real-time market data and semantic context.

対象 Ryan Siegler • 29 5月, 2026