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Nemotron 3.5 Lightning delivers up to four times faster output and 30% faster agentic task completion than other models in its class.
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River’s API lets enterprises fine-tune and run reinforcement learning on open-weight models without building or managing their own AI infrastructure.
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Union Minister Piyush Goyal said there needs to be deeper AI use in price intelligence, price sanity, and marketplace integrity as government procurement crosses ₹20 lakh crore.
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The drone maker reported positive EBITDA and said it aims to complete its opening FY27 order book by the third quarter.
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TCS’ second Latin America centre features 3,000+ AI agents to help enterprises accelerate AI adoption.
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GCC hiring declined 6% month-on-month to 17,000 active openings in August, even as hiring by IT services firms grew 5% during the same period.
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As enterprises embrace AI agents, Proshort is betting the bigger opportunity lies in augmenting sales teams with real-time intelligence, helping representatives close deals faster.
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The company has reached a $500 million valuation, following additional funding, taking total seed funding to $30 million
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Meta has introduced Muse Glimmer, a new AI model developed by its Meta Superintelligence Labs. The Muse Glimmer features 30 billion parameters and is optimised for always-on local agent workflows. Meta says it is suitable to run on a Mac or PC equipped with a single consumer GPU. At full precision, Muse Glimmer would require more than 55GB of memory. The Muse Glimmer is designed to handle functions including agentic task completion, multi-step reasoning, and multi-model input and reasoning.
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The centre will initially focus on engineering, while its mandate could expand into other disciplines as the operation matures.
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The network will span 30,000+ km of terrestrial fibre and 21,000+ km of subsea fibre, connecting more than 100 data centres globally.
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NVIDIA says the model will rely on independent investor underwriting, with demand, utilisation, cash flow and residual value assessed for each project.
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