Đang chuẩn bị liên kết để tải về tài liệu:
The Lights in the Tunnel Automation Accelerating Technology and the Economy of the Future_4

Tham khảo tài liệu 'the lights in the tunnel automation accelerating technology and the economy of the future_4', tài chính - ngân hàng, tài chính doanh nghiệp phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | THE LIGHTS IN THE TUNNEL 72 chess moves then why can it not also iterate through every known legal argument since the days when Cicero held forth in the Roman Forum Would this be a lesser form of legal creativity Perhaps it would. But would that matter to our lawyer7s employer Although the practical applications of artificial intelligence have so far emphasized brute force solutions it is by no means true that this is the only approach being taken in the field. A very important area of study revolves around the idea of neural nets which are a special type of computer that is built upon a model of the human brain. Neural nets are currently being used in areas such as visual pattern recognition. In the future we can probably expect some important advances in this area especially as the engineers who design neural nets work more closely with scientists who are uncovering the secrets of how our brains work. One thing that probably jumps out at you as we speak of lawyers and radiologists is that these people make a lot of money. The average radiologist in the United States makes over 300 000. In fact we can reasonably say that software jobs or knowledge worker jobs are typically high paying jobs. This creates a very strong incentive for businesses to offshore and when possible automate these jobs. Another point we can make is that there is really no relationship between how much training is required for a human being and how difficult it is to automate the job. To become a lawyer or a radiologist requires both college and graduate degrees but this will not hold off automation. It is a relatively simple matter to program accumu Copyrighted Material Paperback Kindle available @ Amazon Acceleration 13 lated knowledge into an algorithm or enter it into a database. For knowledge workers there is really a double dose of bad news. Not only are their jobs potentially easier to automate than other job types because no investment in mechanical equipment is required but also the .