IBM Watson (2011) (en.wikipedia.org)

In 2011, IBM's Watson made headlines by competing on the quiz show Jeopardy!, where it faced off against formidable human champions, winning a $1 million prize. Developed as part of the DeepQA project, Watson harnessed advanced natural language processing, AI techniques, and a unique architecture featuring 2,880 POWER7 processor threads and 16 terabytes of RAM to answer questions in real-time. This historic event showcased the potential of AI in natural language understanding and set a new benchmark for cognitive computing systems. Watson's architecture allowed it to process vast amounts of data quickly, analyzing 500 gigabytes of information per second, equating to about a million books. It utilized a combination of algorithms for language parsing and statistical analysis, enabling it to grasp the nuances of Jeopardy! clues. Despite these advancements, Watson's inability to fully contextualize questions and its slower initial reaction times compared to human players highlighted both the strengths and limitations of AI in human-complex environments. The competition not only demonstrated the reach of AI technologies but also initiated discussions within the AI/ML community about the future applications of similar systems, leading to commercial uses such as in medical treatment decision-making.