Introduction of Al in google

The transformation of artificial intelligence at Google has sparked significant discussion. Contrary to popular belief, machines still lack the ability to think like humans. However, in recent years, they have developed the capacity to learn, leading to a remarkable evolution where devices have become more perceptive, and vehicles are now capable of autonomous driving. Presently, artificial intelligence may not meet our highest expectations, nor does it warrant our deepest fears, yet humanity is rapidly advancing toward an unpredictable future. This uncertainty has fueled a widespread desire to engage with Kai-Fu Lee, a prominent figure in the AI landscape. At a bustling internet conference in Beijing, Lee finds himself amidst a throng of admirers eager to capture a moment with him, drawn by his exceptional engineering skills and remarkable success in wealth creation. It raises the question: do individuals globally comprehend the impending changes brought by artificial intelligence? It appears that many remain unaware, and some hold misconceptions. Nevertheless, Lee is convinced that AI will profoundly alter the world, more so than any event in human history, surpassing even political elections. Lee asserts that the optimal environment for an AI entrepreneur is in communist China, where his Beijing-based venture capital firm has been instrumental in creating billionaires. He has supported 140 AI startups, contributing to the emergence of numerous companies valued at over a billion dollars. In 2017, China attracted half of the global investment in AI. One of Lee's notable investments is in Face Plus+, a visual recognition technology that inaccurately estimated my age at 61. On the streets, Face Plus+ demonstrated its prowess by accurately identifying everything in motion. This advancement in artificial intelligence is attributed to three key innovations: ultra-fast computer chips, the vast availability of online data, and a breakthrough in programming known as deep learning. Unlike earlier AI models that relied on strict programming, modern systems are designed to learn autonomously, marking a significant shift in the field.