Congratulating the BharatGen team, Dr. Singh described the initiative as a landmark in India’s technological self-reliance journey.
Andhra Pradesh partners with IBM, BharatGen, and NxtGen to develop a citizen-centric Swadeshi AI stack for regional languages.
SINGAPORE--(BUSINESS WIRE)--Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and ...
Homegrown artificial intelligence startup Sarvam AI today launched two large language models, Sarvam-30B and Sarvam-105B, at the India AI Impact Summit, as India accelerates efforts to build domestic ...
Raghavan tells Poulomi Chatterjee that being a full-stack platform, it should make every Indian’s life better. Excerpts: ...
Cybersecurity today faces a key challenge: It lacks context. Modern threats—advanced persistent threats (APTs), polymorphic malware, insider attacks—don’t follow static patterns. They hide in plain ...
Large language models (LLMs) like OpenAI’s GPT-4 and Anthropic’s Claude 2 have captured the public’s imagination with their ability to generate human-like text. Enterprises are just as enthusiastic, ...
At the India AI Impact Summit 2026, Nvidia outlined what it calls a practical roadmap for scaling artificial intelligence in India — a five-layer “industrial stack” that places start-ups at the core ...
Bengaluru-based AI startup Sarvam AI on February 18 announced the launch of two new large language models, a 30-billion-parameter model and a 105-billion-parameter model, both trained from scratch, ...
2don MSN
French-American scientist Yann LeCun warns large AI language models won't lead to true intelligence
Yann LeCun is a leading AI voice whose pathbreaking work in neural networks became the foundation for modern computers and deep learning.
News: As IndiaAI Impact Summit 2026 enters Day 3, NVIDIA says India is becoming a key hub for AI clouds, open models, and industrial AI, backed by 800,000 developers and new Blackwell-scale capacity.
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