The most easy to automate field is to create jobs

Source：Updated：2017-02-16 08:45:13

On February 13th message (VentureBeat) according to foreign media reports, we've heard enough of the technological predictions, about how robots will take over our daily life monotonous repetition work, enable the human to focus on a higher technological content or creative tasks. But the actual situation may be the opposite: it is the most easy to automate tasks creative work, the repetitive work automation up rather tricky. 
 
 
Surprise: easy automation field 
 
art 
 
At The beginning of The 21st century, university college London, "The Painting Fool" Painting program created works of art. Most of its into the gallery, works together with the humanity. Like DeepStyle and Prisma neural network using convolution neural network simulates specific artists stylized processing style of photos. Withoomph, Tailor, Brands and Logojoy logo can generate system semi-automatic or fully automatic keyword generated according to the logo design. 
 
The researchers will also use this process to the music. Melomics is a according to the way of life and activity theme creation and play music system. IBM and artists together, will be a lot of music, lyrics and emotional analysis, help "Watson" synthesis of music. As a result, the natural human creativity is no longer necessary to create beauty. 
 
The scientific research 
 
Science is a core base of repeatability. Pipetting operating in many laboratories are monotonous and labor intensive tasks, OpenTrons etc. The company is committed to using automatic pipetting devices to help scientists to save time and money. Gen enterprise Arcturus and BioRealize allow scientists to remote control genetic engineering experiment, greatly reduce errors and experimental time. Other startups -- such as Emerald Therapeutics and Transcriptic, wants to study migration to the cloud, using a remote robotic system to automatically perform the experiment. 
 
In addition to the automation of manual laboratory work, the machine will also in scientific discovery and understanding of automation. Cornell university Nutonian can in the case of not to give any advance hypothesis to create data model. From Cambridge in aspen, and Manchester researchers created a similar self-help science algorithm, referred to as the first machine is able to independently explore new knowledge of science. With the increase of scientific research, scientists may will be more and more dependent on automation system. 
 
The law 
 
Need, case law and other legal profession case law has many years of learning and understanding. The latest progress of AI make it possible for these task automation. So far, case law, contract law and defence for automation practice. Gen enterprise DoNotPay robot lawyers can help users deal with traffic tickets. ROSS Intelligence to use the AI and case law paragraph, in order to improve efficiency and quality of legal research. EBrevia using AI data extracted from the contract, in order to help the contract analysis and other related applications. 
 
Within the scope of the law how on earth can automation aroused people's concerns. Because most of the legal profession is charge by the hour, so see how lawyers weigh the benefits of automation and responsibility will be very interesting. 
 
Police and security 
 
Human physical security team's main function is to observe and report safety accident. Due to the responsibility for employers, many human security personnel do not allow interference, which makes their job more easy to automate. Security automation so far focused on the existing security enhancements. With inexpensive means to enhance security of vision and hearing range, beyond the limits of traditional fixed camera is covered. 
 
Knightscope and Gamma 2 Robotics, make the ground security robot, by physical face a deterrent to power. These robots are deployed in more and more enterprises park and shopping malls. Another named gen companies use drones to help customers in a Nightingale monitoring work. A little time, basic robot to replace the police and security forces, only need to use artificial force in dealing with violence. 
 
 
 
Surprisingly hard to automation field 
 
clean 
 
Clean the Roomba robot is in 2002 the first batch of average consumer oriented launched one of the consumption level of the robot. 15 years later today, cleaning robot industry and without any real innovation as its won commercial success. A company named Intellibot created a group called "TASKI" large automatic floor cleaning machine, few sales. In addition Brain corp. also teamed up with international cleaning equipment company launched a large floor cleaning machine called "RS26". 
 
In addition to clean the floor, the robot will also be introduced in clean homework for humans too dangerous. Gen enterprise Ecoppia can use robots to clean with Yang panels, radioactive waste management companies in the United States Kurion contamination cleaning robot has been selected in fukushima. 
 
Clothing and textile 
 
Textile industry is one of the first batch of industry automation, but still difficult to achieve fully automated. Good at operating robot will not deformation solid objects, but textiles clipping, tensile and compression make robots to do. Today's robot can complete dyeing, shear and complicated pattern design, but the actual sewing, add the lace and fold work still needs to be done dexterous hands. 
 
Very few companies in the advanced sewing made significant progress. Softwear Automation is one of them. It USES a high-speed camera to track textiles, let robot in bending and changeable operation on the fabric. Nike is using automated assembly process to replace the traditional shoes. FLYKNIT series is the top of the shoe by a continuous line instead of multiple components assembled. 
 
The progress of automation in the clothing care also not much. Although can washing and drying machine, loading, take out and folding process is still repeat and arduous work, there is no ideal automation solutions. Gen enterprise Laundroid and Foldimate laundry folding robot is developed, but drew criticism because of low volume big functions. 
 
agricultural 
 
Using automation to replace the manual crop harvest is still difficult to date. Some crops of fruit fragile, while in computer vision is not easy to identify fruit crops. Despite these challenges, however, there are still a lot of the company is committed to realize the full automation of agriculture. 
 
Harvest Automation to build a robot, called "HV - 100" almost can realize the Automation of the entire crop growth cycle. There are a series of business the company is committed to building weeding and digging robot. This includes Naio Technologies, its vineyards weeding robot products. 
 
In the field of fruit picking, such as FFRobotics, an Abundant Robotics, Vision and Robotics, etc. The company has been committed to provide solution for fruit picking robot. Although the product has not yet universal, but their efforts are for more automation world lay the foundation. For example, they use a suction device to pick fruit, avoid many of the problems of the mechanical arm and holding. 
 
Looking to the future 
 
From the above overview of several topics, we can roughly predict the future of the industry robot. Today, robot technology has made significant progress in automating repetitive tasks, these tasks need not sophisticated technique. Involves a large amount of data and information processing tasks can be done by automation. Need a complex operation, on the other hand, the task is still difficult to be automated, these tasks need more technical support, including robot can give us deeper decision-making and information comprehensive ability. 
 
Robots have changed a lot of major industries, need artificial participation to complete things less and less. But overall, a fully automated world is still in sight.