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 ...

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: This work studies black-box adversarial attacks against deep neural networks, where the attacker only has access to the query feedback from the target model. The current state-of-the-art ...

Abstract: Cost based SQL optimizers remain brittle under real world data and engine diversity; small errors in cardinality or cost estimates can cascade into poor plans. We propose a conceptual ...

All community pharmacies in Optum Rx’s network have transitioned over to a cost-based reimbursement model as the massive pharmacy benefit manager tries to reduce variation in how pharmacies are paid.

To hear Silicon Valley tell it, artificial intelligence is outgrowing the planet that gave birth to it. Data centers will account for nearly half of U.S. electricity demand growth between now and 2030 ...

Artificial intelligence has created a “terrifying” outlook for employment, Oaktree Capital Management LP co-founder Howard Marks cautioned, and an assumed productivity boom fails to consider how many ...