Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

Abstract: To address the challenges of low detection accuracy, high miss rates, and inefficient model computation in complex road scenes, this study introduces RD-YOLO, an enhanced version of the ...

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

OpenAI launches GPT-5.4, calling it its most capable and efficient AI model yet, with AI agents, computer control, improved reasoning, and a 1M-token context.

New SMEC study analyzes AI Max in Google Ads Search campaigns, showing a 13% conversion value lift but higher CPA and unpredictable ROAS results.

S&P 500 concentration risk is surging—top 10 now 41%. See a quant-optimized 15-stock barbell from Strong Buy picks for better ...

Cove Street Capital analyzes the AI market mania and shifting software valuations. Read the full analysis for more details.

aInternational Graduate Academy (InGrA), Institute of Health and Nursing Science, Medical Faculty, Martin Luther University Halle-Wittenberg, Magdeburger Str. 8, Halle (Saale) 06112, Germany ...

Abstract: To enhance the precision of the integrated energy system's operational approach, the study suggests utilizing a BP neural network for forecasting thermal and cooling demands, thereby ...