Indian AI startups, have been using open-weight models to build enterprise AI applications for some time. Mint explains why.

Using Real-Time Quantitative Data Saturation Analysis to Enhance the Rigor of Qualitative Research: A Decision-Making Perspective. Open Journal of Business and Management, 14, 1921-1929. doi: ...

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

A new GovAI study reveals that EU data protection rules are stalling AI adoption, leaving 11% of advanced LLM releases ...

AI systems create value only when they can work with reliable business data. A predictive model trained on incomplete transaction records, a chatbot connected t ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

US heatwave exposes critical strain on power grids from growing energy demands of AI data centres.

Today, frontier AI labs such as OpenAI and Anthropic are among its biggest and most strategically important customers. These companies need vast amounts of data to train foundation models. But that is ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

Process analytical technology enables data-driven scale-up by embedding real-time analytics from development through ...

This produced some interesting results ...

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.