A 1997 contest opened the curtain on a contest between computers and human intelligence. At that time, IBM's supercomputer Deep Blue defeated chess grandmaster Kasparov and became the first computer to win a game against the human chess king.
Deep Blue defeated the chess grandmaster
Deep Blue plays chess with powerful computing power and brute-force search algorithms, but it cannot be called true artificial intelligence. Machines have long been learning, understanding, and thinking for themselves in complex environments as a unique domain of human intelligence.
Artificial intelligence computers
How to make machines no longer limited to computing and data processing, but also more powerful cognition, learning and judgment capabilities? This is the direction that computer scientists and researchers have carried out long-term research and exploration.
From the rule-based translation concept proposed by Soviet scientists nearly 50 years ago to the machine translation evaluation competition at the beginning of the new century, the transformation and upgrading of machine intelligence technology can be said to be the process from "calculation" to "learning". The shift reached its peak when Google released its neural network-based translation system, leading to the ape to man leap.
Neural networks
Neural networks are a technology that mimics how the human brain works, giving machines the ability to learn and judge on their own. With the blessing of language database and distributed computing power, Google has created a new translation idea, using statistics and guessing methods, and successfully developed a machine translation system that is more in line with human thinking habits and habitual usage.
Nowadays, machine intelligence has achieved qualitative changes in terms of field, scope and depth, whether it is Go, speech recognition, natural language processing, or face recognition and robotics, machines have gradually become the right-hand man of humans.
From ape to man
The leap from ape to man requires the contribution and accumulation of countless pioneers. Through continuous exploration, we believe that the development of the field of machine intelligence will take more solid and ambitious steps, bringing more extensive, deeper and smarter services to human beings.