EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

AI systems are crossing a quiet but consequential threshold. What began as tools that summarize, recommend, or assist are now ...

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.

Google CEO Sundar Pichai lauded Sarvam AI for its advancements in local AI models tailored for Indian languages and contexts. The startup's AI model reportedly outperforms major players like Google's ...

Appiphony announced it has launched Parse Connect on Salesforce AppExchange, the leading enterprise marketplace for partner apps and experts, empowering customers to extract and map document data ...

Memori Labs is the creator of the leading SQL-native memory layer for AI applications. Its open-source repository is one of the top-ranked memory systems on GitHub, with rapidly expanding developer ...

These speed gains are substantial. At 256K context lengths, Qwen 3.5 decodes 19 times faster than Qwen3-Max and 7.2 times ...

When your AI assistant calculates revenue, bonuses, VAT or financial summaries, it isn’t doing math. It’s telling a convincing story about numbers.

With all of the talk about the security risks of AI, one issue that seems to be overlooked is this: the fact that AI systems only function by exposing their most valuable assets — models and data.

In the weeks of the India AI Impact Summit 2026, Sarvam AI announced a range of products, like Sarvam Dub, Sarvam Vision, Sarvam Akshar, etc.