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In the movie star wars, Jedi Knights can be transmitted through a holographic (holoportation) sit together for the meeting, even if they are not in the same room. This is science fiction to imagine future scenarios.
In March of this year, Microsoft with their own “black science” HoloLens demonstrates true holographic transmission, almost Star Wars thought became a reality in the future, but you need to wear a helmet to see the hologram.
On August 31, due to very interested in AR/VR communications, home communications products were presented to the media a homemade demo use of HoloLens to communicate.
Live demo
Wearing HoloLens phone with PC, computer screen is like that in the figure below. Because HoloLens SLAM real-time scanning technology for indoor scenes, when you draw something users in real time, as in the following figure, “s”, it is that people who can stay, because HoloLens knows object location.
However, the company has also stressed that “the projection that the Fund is pictures, not Hololens picture.” Because HoloLens angle limited (30 degrees), you clearly can’t see the whole picture.
Doing the demo, basic functions including 3D mark combined with gestures, Gaze, voice, users of real-time dynamic is being received and immediate feedback. (Note: the Gaze is to use sight to select the destination. ）
In the demo site outage, officials explained that it was as a result of far away from the router, due to the talk needs to transfer large amounts of data, so the network is very important.
In addition, according to the field only shows the HoloLens and calls between computers, calls between HoloLens, introduction
At this stage from the official Microsoft Open API for unity to accomplish Hololens and Hololens video call. Specifically, Microsoft Official Hololens development version of unity video capture method in your document is not perfect, whether it is MR Capture the acquisition or transmission is not directly supported, third-party video plug-ins are not incompatible Hololens. I further improve AP until Microsoft can have the opportunity to achieve better results, which we are always and Microsoft team.
Doing the demo looks far from Microsoft’s presentation of the cool, but the company said continues to invest on different VR and AR platform, hologram calls one of its focus on research into and attempts at direction.
Microsoft released the video, can see both sides of chats as delivered to the front, real chat face to face and smile are perceived and responded to. However, because of the hoops in the hardware, the technology has yet to be mature, hologram calls real business there are a lot of way to go.
Whether it is a local hard disk or network, we hope to use the minimum amount of space to store data. In order to do that, various file compression technologies and standards have emerged, pictures in JPEG and PNG, audio in MP3 and FLAC, RMVB and MKV in the video, as well as zip and tar compression, in fact, their ultimate goal is the same: to keep the data of the original information, while generating minimum-volume read/write files. Now, Google by virtue of neural network methods and took a big step forward toward this goal.
From Google’s research team recently with a neural network method for computer picture file compression efficiency can reach new heights. According to foreign media reports, the new compression algorithm is superior to JPEG compression, under the same resolution, using Neural Network algorithm to compress the file size to be smaller than JPEG. OtterBox iPad Mini Case
Team approach: first 6 million photos are selected at random from the Internet has been compressed pictures, and cut each picture into 32×32 the size of a pixel fragment from each picture and select 100 fragments of a compression effect in the input to a neural network for learning. After repeated training, telling compression of neural networks which are the worst, let the computer learning the worst compression characteristics. Scientists thought was: If the computer master worst compress pictures feature, then to avoid in a subsequent compression algorithm, so ensure the file compression ratio at the same time, to ensure maximum picture display.
The compression of the nerve networks in a manner similar to the training situation. Computers will be first split into several smaller pieces of a photograph, and according to the characteristics of each segment individually compressed, all of the fragments is subsequently combined to form the final result. In a paper published in team members, you can see the concrete implementation of an algorithm, which also shows the most neural network algorithm in the compression ratio is superior to JPEG effect.
But Google also acknowledged that all perception of human vision system may be the most difficult one, because some people are sensitive to a particular change, while others are not sensitive, is still unable to form a unified criterion, what would be considered the best show a picture.
In any case, Google are working to our growing media data compression as lossless as possible to a minimum, this is a good thing at all times.
Related reading:
Google open source compression algorithm, to make Internet faster
How to help picture weight? This method is very useful
History of the most “cheap” hacker! Put your file compression, and then sell you unzip password OtterBox iPad Mini Case
Is Google Nexus with the native Android Smartphone for the operating system, unlike most Android manufacturers to use third party custom interface, Nexus-series native systems has been using Google, Android is the symbol of the most authentic, many players take it the benchmark for Android, nicknamed the “son”. Google launched the Nexus series is designed to give our developers with a low price high quality development and test machine, and Nexus also leads the current Android products of hardware models, lead to all the Android manufacturers to play an exemplary role.
Nexus One
Nexus One is the first generation of Nexus, HTC foundry, as Android most excellent manufacturers HTC loading Android on the evolutionary history of many of the first time, not only the world’s first powered Android phone, HTC Foundry’s first son. The machine was launched in 2010, as HTC G7 Classic twin, both have a very high degree of similarity, the whole material and color scheme is very similar. Nexus One is the first of all keys are designed for touch phones, after most of the mobile phones retains the physical buttons and keyboard, Nexus One is Google’s first step toward the full-touch design. As the son of Google, Nexus configuration at the time was very good, with a 3.7-inch screen resolution of 480×800, looks great, you want to know that the resolution of the iPhone 3GS is only 320×480.
With the development and growth of the Android camp, Google’s second-son no longer uses HTC OEM, but transferred to another important Google partner Samsung. Nexus s is equipped with the latest Android 2.3 system, and is equipped with a 4.0 inch Super AMOLED screen, and for the first time carry the NFC. The first time will be able to experience the advantages of the latest Android system will show up in the second-generation son.
Galaxy Nexus
Galaxy Nexus as a third-generation son, Galaxy Nexus on the name slightly different from the other son, named Galaxy, it has another name called the Samsung i9250, relationship with the Galaxy series can be described as “intimate”. As the first mobile phone carrying Android 4.0 Ice Cream Sandwich, this phone is open the door to new age Android. 4.0 before Android’s “complete” some really bad, but went to the Android 4.0 after a great deal of progress, a new user interface and improved features such as multitasking, notifications, Android is more aesthetically pleasing and easy to use. In addition to son the feature, Galaxy let son the first time Nexus has the appearance properties, the white Panda version by users.
Nexus 4
Spatio-temporal earthshaking changes, after two generations of a son in cooperation with Samsung, pro-children business replaced again, turn to the Apple screen Queen’s supplier LG. If the Galaxy led Android into the Nexus is the right path, the Nexus 4 has really become all the Android manufacturers benchmark, powered by Android 4.2 system gave us the famous Google it Now, son videos Google Now as the main selling point.
4.7-inch 1280×768 screen, 2 generations Corning Gorilla glass, mycophenolate mofetil S4 Pro and 2GB RAM, rear 8 million pixels camera and support for Wireless charging, Nexus 4 has been very close to us now use mobile phones. In addition to the hardware configuration is the benchmark, a Nexus 4 also is the son of the highest face value, its glittery cover very nice, both black and white are very beautiful. Unfortunately Nexus 4 heating block obvious, with first generation of “King of the refrigerator runs” in the title.
Nexus 5
Good reputation for Nexus 4 brings to elevate the visibility of LG, Google chose to continue to work with LG to launch son. Nexus 5 released in October 2013, powered by Android 4.4 Kitkat system, although the system version number is still at 4. XX, but 4.4 is a major update to Android, 4.4 also was ridiculed for years by Android out of Apple “Cottonwood”.
In addition to the system level updates, Nexus 5 hardware configuration has reached the top level, 2.3GHz Xiao long 800,2G of memory, 4.95 inches 1080P screen, compared to all Nexus 4 has been a qualitative leap. While Nexus 5 also kept the series son super high price, coupled with good appearance, Nexus 5 Pro-son series of top-selling models to date, if you’re able to see Nexus 50 million do not accidentally in the street.
Nexus 6
With Google’s acquisition of Motorola, son no accidents “fall into the” hands of Motorola, Nexus is changing the image of high performance-cost ratio and turned to the high-end market. Nexus 6 evolved from Moto x II, Moto x II on the basis of further increasing screen reach the exaggeration of 5.96 inches and 2K resolution screen, with Xiao long 805 and 3GB memory. Although the hardware configuration at the time of the top, but the Nexus 6 is not a very good model, its AMOLED screen brightness is too low, the battery life is not satisfactory, coupled with the high price of Nexus 6 is the most welcome of son. But after all, a son is a son, Nexus 6 is still the first model to carry Android 5.0 Lollipop. It is worth mentioning in the Lenovo acquisition of Motorola, Nexus 6 with Moto x Pro version introduced the name of city, State, was unfortunately lucky in it.
Nexus 5X
After failure of the Nexus 6 in, Google adjusted the son product line strategy, this time Google also launched two son, LG OEM OEM Nexus Nexus 5X and Huawei 6P. Success of Nexus and Nexus 4 5 help LG racked up a good reputation, and son back to LG’s arms were not unexpected, not to mention Google has sold on Motorola. As a successor to the Nexus 5, Nexus 5X back to the 5-inch screen, a 5.2-inch 1080P screen, and Xiao long 808 and 2G RAM, with 2700mAh batteries, everything is not too much just right. In addition to the reason of hardware configurations, Nexus 5X also makes up the son has always been a short Board “no photo”, which is equipped with a IMX377 sensor with 12.3 million pixels (Nexus 6P also IMX377), 1.55 Micron mega pixels area of new son with very good image quality. We have reviewed recent Nexus 5X, please stamp: the level sensor the camera Google Nexus 5X hands-on evaluation of video
Nexus 6P
After adjusting the son product line, double size, Nexus users have more choices, different from 5X, King son Huawei’s workers, uses a 5.7-inch 2K resolution AMOLED screens, like large-screen mobile phone users can also have a son. The machine uses a combination of mycophenolate mofetil Dragon 810+3G memory, ensure the son also has a great performance. This is the first time Chinese manufacturers for son, on behalf of Chinese mobile phone manufacturing level has been Google’s identity. We’ve been detailed evaluation of the Nexus 6P, please stamp: the mixed-race between China and Google Nexus 6P hands-on evaluation of
Sharp with a loss of 200 billion yen of fiscal year 2015, however, earlier this year, Foxconn is still under $ 3.5 billion into it, after the owners of sharp’s primary goal is profit. Flawless iPhone plus case
According to an interview with the Nikkei report, sharp’s new CEO Dai Zhengwu said, the company hoped that with Japan, another display manufacturers JDI developed OLED screen, LCD screen, gather more areas of Japan talent to narrow and Korea Samsung and LG gap. Flawless iPhone plus case
“Let us gather all the LCD screen area of Japan talent, developing OLED technology, and management. ”
Currently, Samsung and LG two companies a virtual monopoly for OLED market. According to 90%, which occupies the entire market share of Samsung’s flagship small and medium size, and LG is focusing on large-screen OLED Panel manufacture, is the world’s largest OLED TV manufacturer.
Of course, Sharpe, this time, and another power the JDI is an Apple iPhone on 8 coupled with OLED screen, Apple has told Sharpe in 2017 will be large-scale purchases of OLED news, but Sharpe to wait until 2018 to large-scale supplies from Apple, and now there is news that Samsung has been Apple’s 200 million orders of the OLED screen.
There is no doubt that backward technology on the future of sharp is the biggest obstacle now, in OLED market, Samsung and LG in the first echelon, while JDI technologies reserves is better than the sharp, but if two Japanese cooperation, there is still hope the winter Korea status of two manufacturers, competition for Apple OLED orders on more than one chip.
According to PricewaterhouseCoopers (PwC) according to a recent report, unmanned aerial vehicle industry is growing exponentially, estimated that by 2020, global UAV hardware shipments will reach us $ 10 billion, huge UAV market promotes the UAV industry around derivatives, one of the largest industries around, is the unmanned aerial vehicle surveillance and control.
Unmanned aerial vehicle regulation needs to “soft”
PwC reports that in 2020, the unmanned aerial vehicles in service and labor to replace the labor costs of more than $ 120 billion, which also means, there will be a huge number of unmanned launch. Greatly increased risk, however it includes a drone in the air crash caused human and property losses, the public space of interference and privacy by snooping and other problems people will face risks. Difficult to quantify these risks, gave birth to a lot of drone control agency “acting out of a kill” management approach, unmanned “combat arms” and “Jammer” manufacturers have sprung up there. However, to solve the problem of violence is always a stopgap, so some companies began work on “soft” methods of risk control, Fly Flock is one of them. Network linked to a Flock of Lei feng’s founder and CEO Ed Leon Klinger, give us a brief introduction about establishment of the Flock intention and how the AI system helps UAV control risk.
Ed Leon Klinger
Flock was founded
Flock is the United Kingdom a start-up UAV control system developers, its CEO Ed Leon Klinger had attended Oxford University and Cambridge University and got his master’s degree. In school research focus on emerging technologies and automation systems, and unmanned aerial vehicles and unmanned ecosystems of particular interest. Klinger had later to the United Kingdom of a drone regulators work for a time, this experience to some extent, laid the foundations for the Flock.
Flock screenshots
With no machine industry of rapid development, people from quantitative of data Shang on can see, no machine of application has multiplied of growth, and in visible of future not stop, various industry giant (DHL, and Amazon, and Google, and Facebook,) in no machine commercial direction input has large funds, promote no machine city industry service of development, like “no machine express” this based application in soon of future on will became reality. UAV services has many advantages, labor, doing high-risk work and relieve urban congestion, and so on, but their problems are many summed up generally are old wives ‘ tales of two words: blow up.
Risks of bombing cities service drones, as the biggest stumbling block to its popularization and development, because every drone that flew up into the sky are a matter of public safety, it’s not sensational.
All relevant government departments, Amazon and other titans are paying attention to the UAV’s flight safety of the city, and has been actively deploying the appropriate management strategies. But Klinger, unmanned security the fundamental problem is that randomness UAV risk is too big, cannot be quantified, which led to its control and prevention difficult, and, if an accident occurred, carriers, insurers and regulators definition of responsibility is difficult. In order to solve these problems, Klinger Antton Pena established the Flock, and another partner, Imperial College London and invited Dr Miguel Molina Solana served as CTO of artificial intelligence, made a risk quantification drone AI systems.
Flock AI system
According to Klinger’s presentation, Flock is a big risk analysis tools for data-driven drone, according to a regional pedestrian activity in real time real time weather information, vehicle information, and so on, may increase these UAV information collection and analysis of the accident risk, drone AI system or operator that the environment of real-time information. In addition, the system can also have above ground activities and building information, to calculate the drones in flight risks and impacts that will and based on real-time data to optimize the flight path and recommended. For example, in population dense areas, unmanned aerial vehicles passing over obviously increases the risk of many Flock of AI systems can analyze this information, and the unmanned aerial vehicle flight path for a plan, reducing the risk of flight.
Flock schematic diagrams
Klinger said that it contains several key technology, one is the use of artificial intelligence to identify ground information and turning it into quantifiable risk information to the drone, another is to use the information to calculate the ground secure flight, and displayed on the map. Would like to do both of these points is not easy, especially ground the huge workload of data collection of information is not startup or small teams can accomplish in the short term. Klinger told Lei feng’s network (search for “Lei feng’s network”, public interest), buildings, people and vehicles, weather and other information with third party companies to cooperate on the ground. Which company, Klinger and didn’t mention it, but he said the difficulty of developing this system from the side: Fossil iPhone case
Flock system’s biggest problems is, we as a small technology start-up AI team requires complex institutional cooperation and dealing, such as large insurers, unmanned aerial vehicle hardware manufacturers, operators, regulators, etc, not just technology can solve these problems.
Klinger said that there no risk of things companies do, but they are not used as Flock system real-time environmental data, such as AirMap, which can map some of the information out of the air, and the movement of persons and vehicles on the ground cannot grasp. Environmental analysis of real-time AI is the core competence of Flock. Fossil iPhone case
With this system, whether users, insurers or regulators, are able to use unmanned aerial vehicle services as far as possible to avoid risks, such as the case of force majeure, also known the situation and solve the problem.
At present, the Flock has developed a PC, iOS and Android application that has been gradually testing. Future drone this technology available to manufacturers, users and insurance companies, and so on, but now, they also have many techniques to build, so they will be the first one in the insurance industry was trying to promote. Klinger said the Flock going to hire some developers who focus on machine learning, the future will make this system more intelligent.
UAV accident gathered a large group of people to study how anti-drones, but the majority chose “violence against” and “policy control”, and a Flock of such large data management without too many people to try. Unmanned aerial vehicles for the actuality of, a policy of appeasement to more radical than violent crackdown, after all, is to a certain extent of development trend of UAV, is the future, to avoid risks, appear more Flock to it.
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Lei feng’s network (search for “Lei feng’s network”, public interest) by: sorted CCF-GAIR artificial intelligence and robots in the World Summit, kingsoft CEO Jin Shanyun CEO Zhang Hong-Jiang and speech. Starbucks iPhone 6 Plus Case
Why artificial intelligence with such rapid progress in the past few years, Zhang Hong-Jiang believe that it ultimately comes down to large progress and the evolution of cloud computing.
Support of AI: the data explosion
Progress in artificial intelligence largely due to progress in data, data on global consumption, 2013, 2020 will increase 10 times, 40% a year, app Exchange pictures in the circle of friends is 1 billion a day.
Zhang Hong-Jiang, for example, if users have saved to millet millet on the cloud photos, more than 500 million words, needed 1.2 million stones, 100P of storage space is required, and today China stock photos, this is data from 2014, when 300 billion, requires more storage space and calculation of how huge it is.
The dream of 20 years ago
Applications on the phone, can do to face a series of processing, such as face recognition and age determination. It’s not a phone, but the phone’s back-end running on a cloud, when phones took a picture, then, in the cloud, and then get the results back, Zhang Hong-Jiang their dream team 20 years ago.
1997 Zhang Hong-Jiang patent of a team at HP Labs, which is a framework for distributed, data received from the client, and then passed on to the back-end system, do a series of processing, and pushes the result onto the front end. Today, after 20 years, and finally implemented on this matter on a cell phone, and more importantly, it can be realized on cloud and end. Mobile phone into a data acquisition Terminal, carrier cloud computing as a whole, the whole data carrier.
Face recognition technology face the history history of the expansion of the database, is to face database + capacity expansion history
Academic years, face life in the early 90 ‘s when all academic databases that are used in the era of only hundreds of face images, even in this case the recognition ability of the robot is still below the person’s ability to identify, and light requirements are very high, the need for positive images. In the industrial age, in 2014, the face recognition rate of 97.35% in large quantities, and in 2015 to reach 99.63%. Domestic standard of companies in more than 70 million photos, plus millions of other photos, people use the deep Web has more than 30 levels, training 20 NVIDIA, accuracy is far more than humans.
AI+ data + cloud: enterprise standard
Companies today do not have the data it is difficult to survive, and data to be supported on the cloud. Include quality data acquisition and analysis of data, and in application of its resolution has become the corporate standard. Of course, this fact must be supported on the cloud, no clouds, no data, no large data acquisition, processing and data management.
Zhihou, Zhang Hong-Jiang about cloud computing and large data in application of relatively mature in the following areas: medical, Government, gaming, video, cloud, hardware only cloud and hybrid cloud.
Cloud computing trends
Zhang Hong-Jiang said cloud computing has become the mainstream IT technology, Internet industry matured fast company, up to $ 10 billion sales company, c-side is Google, most of the Facebook,B side of the Amazon AWS. When the b side achieve such high sales, indicates that the market has matured.
Threats to human and artificial intelligence 2.0
Question for artificial intelligence problem of the future will pose a threat to humans, as well as artificial intelligence 2.0.
The first issue, Zhang Hong-Jiang said, there is a curve, no people are invisible to the singularity, unable to judge. For the problem of artificial intelligence 2.0, he thinks maybe artificial intelligence 2.0 is not necessarily to drive, strong signs of artificial intelligence can be the problem of inference. Humans may not need to wait for the future has been very understanding of the human brain to make artificial intelligence, or talk about 2.0.
Finally, Zhang Hong-Jiang, summed it up:
Artificial intelligence we do, when we see a rapid breakthrough as artificial intelligence, we should pay more attention to its back-end, not only is the algorithm itself by leaps and bounds, and more importantly supporting the algorithm data and cloud computing by leaps and bounds, so we see in the future is to front a series of intelligent devices, but its brain is actually inside the cloud.
We remember a glasses-free 3D mobile phone HTC EVO HTC 3D? Now manufacturers enter the market.
During the CES Conference, Focalmax launches its first Smartphone–MaxPhone T1, the main selling point in this product has a very high hardware configuration and glasses-free 3D.
MaxPhone T1 as the Focalmax mountain to enter the smart phone market, its front and back are made of 2.5D glass, and metal box to enhance the strength of the machine. Positive with a 5.5-inch 2K screen and supported piezoelectric liquid crystal grating third-generation 3D display technology compared with previous glasses-free 3D display technology does not sacrifice resolution and brightness of the screen. Back joined the fingerprint recognition, 800W 3D camera can shoot 3D images and 3D video, you can use the glasses-free 3D screen for viewing. VR Box Virtual Reality Headset
MaxPhone T1 also uses Qualcomm latest mycophenolate mofetil 820 processor, which is after the second appearance of Xiao long 820 mobile phone memory configuration 4GB RAM+64GB ROM, basically is the current top level. 4G Netcom, 3000mAh battery as standard, with Type-C interface. VR Box headset
Pico Projector is divided into three series of s, p, m, by full log processor, powered by Android system 4.4, you can cast 1280×800-pixel image. 4K sports camera supports full-band mobile communications chip, and can easily broadcast live. VR can support dual 720p video playback, and 8 million pixels of the 3D film.
Focalmax MaxPhone T1 is given no specific release date and price, release date, it is probably in May this year, cost about $ 500. At the MWC2016 Conference, held after the Spring Festival, MaxPhone T1 also participating, there may be more specific information out.
“In the same game, each athlete is trying to run, but does not know that some players have got on the sports car. There is no doubt that it will run faster. ”
In yesterday’s Turing people Innovation Conference, Turing people CEO Yu Zhichen said the company nearly a year of development. According to the official announcement data:
As of July 11, the Turing platform to third party developers exceeded 230,000, compared to Turing figures released in October last year, an increase of 110%, meanwhile, 16.2 billion were added in the last 8 months of service requests. Technical aspects of semantic understanding accuracy has been upgraded to 95.5%.
Can become the domestic leader in artificial intelligence, Yu Zhichen decided that Turing had “Coupe” has three main advantages:
Strong technical, Turing OS, basically our company over the years the accumulation of research and development of core technologies;
Stable services, artificial intelligence has a lot of services in the cloud, Turing people have accumulated five years and guarantees the stability of service has 99.9%;
Open system, by working together, can reduce overall product development costs and shorten product development cycles.
But Yu Zhichen is not satisfied with this, in addition to achieving “let robots into every home” business objectives, strong artificial intelligence vision was also raised.
Strong artificial intelligence can mean making real reasoning and problem-solving robot, essentially a high class of people, and can even have their own consciousness and a sense of ownership. Dolce & Gabbana iPhone 6 Plus Case
As to when they can be achieved, Yu Zhichen temporarily set the time in the year 2045.
Turing was also released dozens of robots application and OS version 1.5, covering education, entertainment, social networking, tools, and remote in five categories. Compare Turing OS version 1.0, Turing OS version 1.5 in the Visual, motion control and enhanced hardware modules.
Visual, Turing OS1.5 added 11 Visual skills, including face recognition, face detection, face tracking and many other Visual technologies;
Motion control, Turing OS1.5 enhances support for 17~20-DOF Biped robot gait;
In terms of hardware modules, Turing, OS1.5, sound board and microphone arrays, LiDAR is currently in closed beta.
According to reports, the Doraemon robot carrying Turing OS1.0 raised over 10 million, raised among the robots first, RADIUS also in full swing in preparation for predicted sales will exceed 100,000, 14 AI+IP strategies are validated. Meanwhile, in the second half will have a variety of powered Turing OS1.5 robots to market.
For robot application should have what features and rules, Yu Zhichen summed up the five points
First of all, family. The main scenario of a family is the Intelligent robot, the family can do a lot of interesting things;
Secondly, autonomy. Mobile phones interact more are triggered by user’s active robots more through special occasions demand to automate tasks, to meet the needs of users;
Third, multi-mode. Multi mode is similar to the mobile UI, is to develop robotic systems must be taken into account. Multi-modal movements, emotions, act together to embody robot speaks of a State;
Finally, emotion. Emotion is unique to the robot, the robot can express emotions through facial expressions, body movements, can recognize the emotion, so when designing a robot function, emotional considerations often take a lot of time;
Finally, movement. Movement of the robot has a very rich system in designing the robot to take account of a movement system. This objective can be made more interesting and optimization of the application. Dolce Gabbana Cases
Turing OS at the moment is based on robot developed Android operating system, but Yu Zhichen said in an interview after the meeting, Turing a programme based on Lunix, when cost-effective and Android-based systems after peer, Turing primary robot system will be introduced. Depending on how long it will take to achieve, we look forward to it.
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