Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

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Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

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Nvidia Steps Up AI Data Center Push

By Nand Kishor |Email | Jun 8, 2017 | 5019 Views

Recently, Nivida unveiled Volta, the most advanced data-center graphics-processing unit ever built. With 21.1 billion transistors and a massive 815 mm2 footprint, it will facilitate the next generation of artificial intelligence.

Nvidia is still pushing the envelope, leading from way out in front.

Jen-Hsun Huang, Nvidia's CEO, boasts that Volta is "pushing the limits of photolithography". He also understands, ultimately, this is only the beginning of what is possible for AI.

Traditionally, data scientists have used high-performance computing systems for advanced simulations. Their models predict weather, develop pharmaceuticals, and find deposits of oil and minerals. Powerful GPUs like Volta add another dimension, artificial intelligence.

Predictive models that excel at computational science are augmented by the ability to discover insights within data.

It's a world devoid of uncertainty, unknown outcomes. It's a game-changer.

It is no wonder big technology companies are investing heavily. AI means big problems are suddenly solvable. Personal digital assistants will speak and learn like humans. Self-driving cars and gizmos to upload our memories to powerful cloud computing networks are coming, too. Continue Reading>>

Source: Forbes