IBM claims that the revised AI strategy (simplified, world-changing ambition) is working. The job of reviving growth was taken over by computer scientist Arvind Krishna, who took over as CEO last year after leading a recent overhaul of IBM’s cloud and AI business.
But the grand vision of the past is gone. Today, Watson stands out not as an abbreviation for technology, but as a cool example of the pitfalls of technical hype and arrogance surrounding AI.
The march of artificial intelligence through the mainstream economy turned out to be a gradual evolution rather than a cataclysmic revolution.
Riding new wave
IBM has introduced new technologies many times over its 110-year history and sold them to businesses. The company had so much control over the mainframe computer market that it was subject to federal antitrust proceedings. After IBM entered the market in 1981, PC sales began in earnest and small machines were approved as an indispensable tool for corporate offices. In the 1990s, IBM helped traditional enterprise customers adapt to the Internet.
IBM executives have come to see AI as the next wave.
Ferrucci first proposed Watson’s idea to his boss at IBM’s laboratory in 2006. He thought that building a computer to tackle a question-and-answer game could advance science in the field of AI, known as natural language processing, where scientists program computers. Recognize and analyze words. Another research goal was to advance the technology of automated question answering.
After overcoming his first skepticism, Felucci had a team of scientists working in his lab in Yorktown Heights, NY, about 20 miles north of IBM’s headquarters in Armonk (eventually 20 people). Above) was collected.
The Watson they built was a room-sized supercomputer with thousands of processors running millions of lines of code. The storage disc was full of digitized reference books, Wikipedia entries, and ebooks. The intelligence calculation was a brute force attack, and the huge machine required 85,000 watts of power. In contrast, the human brain operates at the equivalent of 20 watts.
What happened to IBM’s Watson?
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