AI (Artificial Intelligence)

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Who is Peter Steinberger? Austrian engineer behind Reddit like viral AI platform Moltbook

Peter Steinberger, creator of the AI-focused app Moltbook, has a history of success with PSPDFKit. He designed Moltbook to facilitate AI interactions without compromising user data ownership, evolving from an initial weekend project to a sophisticated platform.

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Gray hair is reversible: Anti-ageing research turning science world upside down

Scientists are discovering that gray hair may not be permanent. Breakthrough research shows that pigment-producing cells can become trapped, not depleted. Studies indicate that stress can influence graying and its reversal. This opens possibilities for future treatments beyond hair dye. The science is paving the way for new biological solutions for gray hair.

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AI Impact Forum: Where India’s AI Roadmap Takes Shape

As India’s AI ambitions move from vision to execution, the ET AI Impact Forum emerges as a decisive platform where the country’s AI roadmap takes shape. Bringing together global leaders across silicon, infrastructure, enterprise software, strategy, and talent, the forum offers a rare, full-stack perspective on the choices that will define India’s AI future.

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Be Where India’s AI Future Takes Shape – ET AI Awards

As India’s AI revolution accelerates, there’s one event that every entrepreneur, innovator, technologist, CXO, policymaker, and AI enthusiast simply cannot afford to miss. The ET AI Awards 2025, presented by The Economic Times. Scheduled for 26th February 2026 in Bengaluru, this conclave will be India’s most influential gathering of the AI ecosystem, where visionary leaders

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NVIDIA AI Brings Nemotron-3-Nano-30B to NVFP4 with Quantization Aware Distillation (QAD) for Efficient Reasoning Inference

NVIDIA has released Nemotron-Nano-3-30B-A3B-NVFP4, a production checkpoint that runs a 30B parameter reasoning model in 4 bit NVFP4 format while keeping accuracy close to its BF16 baseline. The model combines a hybrid Mamba2 Transformer Mixture of Experts architecture with a Quantization Aware Distillation (QAD) recipe designed specifically for NVFP4 deployment. Overall, it is an ultra-efficient

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