Tag: Technology Revolution
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Amazon Joins Microsoft and Google in AI Race Fueled by ChatGPT
Jeff Bezos, the world's wealthiest person, is challenging Google and Microsoft to become the go-to provider of generative AI. Amazon recently launched new offerings for the same technology behind ChatGPT. Their custom-made chips provide cheaper options for running AI software, with a wide range of tools for businesses. With this, become the Switzerland of generative AI!
Amazon Joins Microsoft and Google in the AI Competition Fueled by ChatGPT
Jeff Bezos, the world's wealthiest person, is challenging Google and Microsoft to become the go-to provider of generative AI. Amazon recently launched new offerings for the same technology behind ChatGPT. Their custom-made chips provide cheaper options for running AI software, with a wide range of tools for businesses. With this, become the Switzerland of generative AI!
Amazon Joins Microsoft and Google in the AI Competition Fueled by ChatGPT
Jeff Bezos, the world's wealthiest person, is challenging Google and Microsoft to become the go-to provider of generative AI. Amazon recently launched new offerings for the same technology behind ChatGPT. Their custom-made chips provide cheaper options for running AI software, with a wide range of tools for businesses. With this, become the Switzerland of generative AI!
Amazon Joins Microsoft and Google in the AI Competition Fueled by ChatGPT
Jeff Bezos, the world's wealthiest person, is challenging Google and Microsoft to become the go-to provider of generative AI. Amazon recently launched new offerings for the same technology behind ChatGPT. Their custom-made chips provide cheaper options for running AI software, with a wide range of tools for businesses. With this, become the Switzerland of generative AI!
Can ChatGPT Replace Computational Materials Scientists?
ChatGPT is the new AI tool that's shaking up the world of computational material science. Zijian Hong, professor of Material Science & Engineering at Zhejiang University in China and paper author assessed the three major steps of a computational materials task: building an atomic model, coding for software & programming for data visualization - and found its output to be accurate. 20 days later, when accessed again, the tool provided output which was more accurate than before. Amazingly, it can learn or evolve with communication and provide consistent output.