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.

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.

AI is beginning to make inroads into designing and managing programmable logic, where it can be used to simplify and speed up portions of the design process. FPGAs and DSPs are st ...

BLR Airport is shifting from reactive operations to predictive management, using decision intelligence to anticipate congestion and reduce dwell times across passenger and cargo flows. The ...

Abstract: The core function of quantum networks is to establish high-fidelity quantum entanglement for long-distance communication. However, the main challenge is to efficiently allocate resources ...

Prof Mpho Primus, co-director of the Institute for Intelligent Systems at the University of Johannesburg and founder of Primus Tech Hub. Africa must choose between being a passive consumer of global ...

This study used both quantitative and qualitative methods of analysis. It analysed sentiment patterns, emotional responses, and thematic content from digital discourse. While our results show a ...