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Nvidia CorpsNVDA CEO, Jensen Huang, suggested at a Stanford University economic forum thatartificial general intelligence(AGI) could become a reality within the next five years, depending on how its achievement is defined.

With Nvidia at the forefront of producing AI chips, crucial for developing AI systems like OpenAIs ChatGPT, Huangs insights carry significant weight in the tech industry.

He proposed that measuring AGI by a computers ability to pass a comprehensive array of human tests could lead to reaching this milestone relatively soon, Reuters reports.

Also Read:Nvidia, Microsoft Back Figure AI with $675M Investment for Humanoid Robots Integration

Currently, AI systems can succeed in exams like the legal bar but face challenges in more specialized fields such as gastroenterology. However, Huang is optimistic that AI could also excel in these areas within five years.

Despite this optimism, Huang acknowledged that the broader definition of AGI, which encompasses a deeper understanding and replication of human cognitive processes, remains elusive.

This complexity is partly because there is still no consensus among scientists on precisely defining the workings of the human mind, making it a more challenging target for engineers who thrive on clear objectives.

Regarding the infrastructure required to support the burgeoning AI industry, Huang responded to queries about the necessity for more chip manufacturing facilities.

While agreeing on the need for additional fabs, he highlighted simultaneous improvements in chip efficiency and AI processing algorithms.

These advancements, he suggested, could amplify computing capabilities by a million times over the next decade, potentially moderating the sheer number of chips needed as each becomes more powerful and efficient.

Analysts have vouched for Nvidias dominance in the $85 billion+ accelerator market, particularly in data center sales, which are likely to exceed 85% of its total sales, marking a significant growth.

Investors can gain exposure to Nvidia viaVanEck Semiconductor ETFSMH andGlobal X Robotics & Artificial Intelligence ETFBOTZ, which have gained 15-31% year-to-date.

Price Actions:NVDA shares traded higher by 2.11% at $840.19 premarket on the last check Monday.

Also Read:Nvidia Supplier Taiwan Semi Faces Water Shortage Challenge as Chip Production Demand Soars

Disclaimer:This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.

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Nvidia's CEO Foresees Artificial General Intelligence Breakthrough Within Five Years - TradingView