Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

In the AI era, insurance can’t risk shared infrastructure, so we went single-tenant — and it turned isolation into a growth advantage.

The cost of allowing data's value to decay, even briefly, is real. Revenue opportunities are missed, marketing spend is wasted, and operational inefficiencies creep in. A single failure can damage ...

Abstract: In this work, we propose an optimization-based trajectory planner for tractor-trailer vehicles on curvy roads. The lack of analytical expression for the trailer’s errors to the center line ...

Abstract: Previous studies, such as Ma et al. (2018), have demonstrated the potential of machine learning techniques to predict query arrival rates in database systems, providing valuable insights for ...