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| Sony hopes to enable robots to win a Nobel Prize |
In recent years, artificial intelligence and machine learning systems have proven their importance. It also benefits researchers and academics. These technologies form the fundamental basis for the manufacture and development of intelligent interactive robots and machines.
Researchers are leveraging AI technology to track genetic markers, develop treatments and drugs, and generally accelerate research and development.
However, these systems are primarily used to help researchers and scientists process large amounts of data or perform complex calculations rather than managing and monitoring research.
Can robots win the Nobel Prize?
PhD programme. Hiroaki Kitano, CEO of Sony's AI division, will develop an AI technology capable of simulating the intelligence and expertise of today's leading scientists. This was done through a project called the Nobel Turing Challenge.
The goal of the project is to develop an artificial intelligence that can only win the Nobel Prize in 2050.
He also stated that the value of this project is that artificial intelligence can make many discoveries over time and over time. Because "robots" will develop initial ideas, formulate hypotheses, then conduct experiments and draw conclusions. This happens automatically and does not require any intervention.
Robotics
Artificial intelligence technology has come a long way since scientist Alan Turing laid the foundation stone in the 1950s. Now they offer great processing power and are used for analysis and review. Whether in the form of computer programs or integrated robots.
However, Kitano hopes to take AI and robotics to a whole new level. By developing the customer's own hardware and software, he can interact, think and discuss.
In the early stages of development, "robots" will help researchers carry out a small part of the research process. In fact, these processes are highly dependent on automation. One such example is the scientific robot Adam and Eve, developed by Professor Ruskin.
Adam-Eve conducts continuous machine training on hypotheses and plans experiments to confirm or disprove these hypotheses.
Kitano says his future robots, which he calls bots, will contain the necessary components to explain and explain their scientific discoveries. The operating system that the robotics world will rely on and the data set used in the training are also critical to the project.