According to reports from Datamation, artificial intelligence achieved a dramatic leap in 2016, and robots and automated equipment have also gained unprecedented popularity. In just a few years we completed the leap from the Roomba automatic vacuum cleaner to the self-driving car. Facing this rapid development rate, trying to predict the future of AI and robots has become simple and difficult. It's simple because you can see things in the future; the difficulty is because new technologies are driving changes in the industry at an alarming rate. We visited some AI experts on this issue and listened to their views on the development of AI and robots. Help us work One of the most important fears of people regarding artificial intelligence and robotics is the fear that they will steal human jobs. Given the loss of automation to manufacturing, this fear is not entirely speculative. But experts believe that AI will enhance rather than replace workers. "Over the next decade, AI's main task will be to automate complex and repetitive tasks and help discover new insights from the data," said Matt Jones, a data scientist at analyst firm Tessella. . "This may not sound as exciting as a killer robot, but it is also enough to change the world. The most exciting thing is happening in healthcare. IBM's Watson has shown that it can diagnose diseases more accurately than many doctors - - This will have a huge impact on the health of people around the world and the current overwhelmed healthcare economy." Technology also helps optimize the electricity utility grid. "In 2017, we can expect to see AI solve more complex problems," said Ganesh Bell, GE Power's chief digital officer. “Whether using wind turbine data to increase renewable energy output or using automated drones to monitor the power infrastructure in remote areas, further application of AI is likely to improve the energy industry globally.†Michael Schmidt is the founder and chief technology officer of the data analysis service company Nutonian and a developer of predictive analytics software. Schmidt saw the new model of applying AI to every business user in the organization. “Artificial intelligence and data modeling are no longer just data scientists and business leaders, expanding to operations and decision makers at all levels. The company will be able to optimize business operations with unprecedented sophistication and influence,†he said.
