Mohit Pandey

Zoho has already deployed 1,000 to 2,000 units of Nathu La in pre-production across its data centres. The company says the system is optimised for virtualisation, storage, HPC and AI inference workloads.

Prof Rajeev Sangal says while the country has demonstrated it can build at scale, it is still struggling to decide what exactly it wants to build.

The sovereign AI debate has resurfaced again. And the idea of building just use-cases of AI is no longer valid.

Prof Ganesh Ramakrishnan says BharatGen's real north star is making its AI models affordable to as cheap as ₹5 per million tokens.

Early benchmarks of Soket AI's upcoming model suggest inference efficiency is roughly 3x better than DeepSeek's and training costs are 30–40% lower.

The funding values Emergent at $1.5 billion, marking a fivefold jump in valuation in just four months and pushing the company into the unicorn club barely a year after its public launch.

For ServiceNow, the next enterprise AI battle is not about who has the smartest model. It's about who can keep thousands of AI agents under control. GitHub has finally brought Stacked Pull Requests into the platform, but the launch has sparked a wider conversation about how code review should evolve as AI increasingly writes more code.

Article Complete Digi Yatra CEO Suresh Khadakbhavi isn't really obsessed with airports. His real obsession has always been removing friction, wherever it exists. Why India's Most Advanced Weather Models Still Send Alerts Late Despite better weather models, growing AI capabilities, and national alert systems, Kerala's recent flash floods reveal that India's biggest challenge may not be predicting disasters. AUGUST 8, 2026, 10:00 AM 5 min Key Takeaways What Actually Matters. India's advanced weather models and AI capabilities struggle to deliver timely disaster alerts. Kerala's flood response highlights failures in basic alert systems despite technological advancements. Merin Susan John Associate Technology Journalist Followed by 12 readers Got a tip? Share confidential information with AIM.

Two, by his own admission, belonged to people who clearly did not know what they were talking about. He was not sure about the third either. The centre will house capabilities including software development, data and AI.

MWire Labs has built a multilingual speech AI system for languages including Khasi, Garo, Mizo, Kokborok, Assamese, and Nagamese, using more than 1,000 hours of field audio. The organisation will use the accelerator's backing to expand its speech recognition, case management and paperless courtroom tools across India and other low-resource legal systems.