Contact Robot Prois in the Sales Force Automation Industry

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Do you want to learn robot, but you don’t have money to buy the robot? Or you don't know where to start? Webots simulator is the solution! You can learn with any kind of robots and environments . Also you can create your custom robots and environment. The most interesting is Webots is free and open source. easily Here we will discuss about Webots, and create our first robot program to make it move. The robot program is implemented to e-puck robot. My Experience using Webots I have used Webots to help my friend in her thesis to develop obstacle avoidance algorithms in Niching Particle Swarm Optimization algorithms for multi-target search multi-robot system. Robots is locate in a search area. Then the robots move to search for a targets. With Niching Particle Swarm Optimization, robots is sharing their best location related to possible target location, so robots can find the best possible target location. In this simulation, we used 40 robots, and 4 targets. My experience in developing this project using Webots is it's very easy to learn and use, complete tools, and realistic. Also I don't need to spend any money to buy real robots 😎 I will discuss about this project soon. Webots: Robot Simulator Official website: https://cyberbotics.com Webots is an open source robot simulator that provides a complete development environment to model, program and simulate robots. Thousands of institutions worldwide use it for R&D and teaching. Webots has been codeveloped by the , thoroughly tested, well documented and continuously maintained since 1996. It is the most efficient solution to quickly get professional results. [ ] Swiss Federal Institute of Technology in Lausanne Reference What Can I Do with Webots? Develop custom robots or using available robot Develop custom 3D environment (ground, obstacle, object, sky, physics behavior) Create your robots logic Simulate and testing Record or Screenshot your simulation Webots Research Area Many mobile robotics projects have relied on Webots for years in the following areas: Mobile robot prototyping (academic research, the automotive industry, aeronautics, the vacuum cleaner industry, the toy industry, hobbyists, etc.) Robot locomotion research (legged, humanoids, quadrupeds robots, etc.) Multi-agent research (swarm intelligence, collaborative mobile robots groups, etc.) Adaptive behavior research (genetic algorithm, neural networks, AI, etc.). Teaching robotics (robotics lectures, C/C++/Java/Python programming lectures, etc.) Robot contests (e.g. Robotstadium or Rat’s Life) Webots Simulation A Webots simulation is composed of following items: A Webots file (.wbt) that defines one or several robots and their environment. world The .wbt file does sometimes depend on external PROTO files (.proto) and textures. One or several controller programs for the above robots (in C/C++/Java/Python/MATLAB). An optional physics plugin that can be used to modify Webots regular physics behavior (in C/C++) Available robots Webots have many kinds of available robot, for example: e-puck (two-wheeled robot) Parallax Boe-Bot (three-wheeled robot) Four-wheeled robot Hexapod robot Robotics armSmall size car-like robot Humanoid robot Dog-like robot Programming Language You can write the webots robot controller using C++, Java, Python or MATLAB. Choose any kind of your favourite programming language. Webots User Interface Webots GUI is composed of four principal windows: 3D window that displays and allows you to interact with the 3D simulation Scene tree which is a hierarchical representation of the current world Text editor that allows you to edit source code, and finally Console that displays both compilation and controller outputs. User Guide Webots has provide a great and clean . Also there is a that you can learn. user guide tutorial e-puck Robot Official website: rg https://e-puck.o Wiki: https://www.gctronic.com/doc/index.php/e-puck2 The e-puck robot is a mini mobile robot developed by GCtronic and EPFL. The e-puck robot is designed and has been widely used in research and educational purposes and is easy to use [ ]. Reference e-puck has been a very successful robot since 2005. About 3000 units used both in education and research. From January 2018 version 2 is available [ ]. Reference The e-puck robot is a non-holonomic wheeled robot. Non-holonomic wheeled robot is a robot that depends on the path it can reach to move and cannot move in all directions [ ], different from the holonomic wheeled robot that can move in all directions [ ] without changing its orientation. Therefore, if the e-puck robot wants to move to a different direction, the e-puck robot must rotate its body first to face that location. Reference Reference Simple Tutorial Here I create a simple tutorial to create the environment, add obstacle, add e-puck robot, and create the e-puck robot program to make the robot move forward. Before, install Webots on your computer from this . I use Webots version 2019b. tutorial 1. Create Project Directory Click “Wizards” menu then click “New Project Directory” submenu Click “Next” Choose directory for your new project, then click “Next” Choose a name for the new world (here I name it “main.wbt”), and check the features you want (here I check the “Center view point”, “Add a textured background”, “Add a directional light”, and “Add a rectangle arena”. Then click “Next” Finally click “Finish” 2. Add e-puck Robot Select the last node “RectangleArena” of the scene tree view. Click on the Add button (plus sign) at the top of the scene tree view. In the dialog box, choose “PROTO nodes (Webots) / robots / gctronic / e-puck / E-puck (Robot)”, then click “Add”. An e-puck robot should appear in the middle of the arena. Save the simulation. 3. Centering the Arena We want to look the arena from above to make it clearly visible. You can rotate the arena in X, Y, or Z axis by “hold left click and “move the cursor”. You can move the arena by “hold right click” and “move the cursor”. You can zoom-in or zoom-out by “scrolling your mouse up or down”. ” Here I give you my setting to make the arena looked from above. Double-click on the “Viewpoint node in the scene tree. This should open the node and display its fields. Select the “orientation” field and set its “angle value to 1.58. Select the “position field and set its “x value to -0.034, “y value to 2.2365, and “z value to -0.023. ” ” ” ” ” ” Below is the environment look: 4. Add Obstacles Adding obstacles in this scenario is optional. I added the obstacles just to make the simulation look more real, and just for fun 😄 Add rectangle obstacle. Select the last node “E-puck” of the scene tree view. Click on the Add button (plus sign) at the top of the scene tree view. In the dialog box, choose “PROTO nodes (Webots) / objects / factory / containers / WoodenBox (solid)”, then click “Add”. Then Double-click on the “WoodenBox node in the scene tree. This should open the node and display its fields. Select the “size” field and set its “x” value to -0.2, “y value to 0.1, and “z value to -0.1. Select the “translation” field and set its “x” value to 0, “y value to 0.05, and “z value to -0.2. ” ” ” ” ” Add tube obstacle. Select the last node “E-puck” of the scene tree view. Click on the Add button (plus sign) at the top of the scene tree view. In the dialog box, choose “PROTO nodes (Webots) / objects / obstacles / OilBarrel (Solid)”, then click “Add”. Then Double-click on the “OilBarrel” node in the scene tree. This should open the node and display its fields. Select the “radius field and set it value to -0.05. Select the “height field and set it value to 0.1 Select the “translation” field and set its “x value to 0.2, “y value to 0.05, and “z value to -0.2. ” ” ” ” ” Below is the environment look: 5. Create e-puck robot controller Click “Wizards” menu then click “New Robot Controller” submenu Click “Next” Choose the language for your controller program. Here I use C language. Then click “Next” Specify a name for the controller name. Here I name it “e-puck-move_forward”. Then click next. Finally click “Finish” Below is your controller source code look: 6. Edit your controller program You can edit the controller from webots built in text editor. Or you can edit with your favourite IDE. The controller directory is placed in “[your project directory]/controllers”. The program is placed inside this controller directory. Here is the move forward source code, or you can view it on my from . Copy and paste the source code to your controller program. GitHub Repository time_step; WbDeviceTag left_motor, right_motor; { time_step = ; (time_step == )
    time_step = ( )wb_robot_get_basic_time_step(); time_step;
} {
  wb_motor_set_velocity(left_motor, MAX_SPEED);
  wb_motor_set_velocity(right_motor, MAX_SPEED);
} { time_step = get_time_step(); left_motor = wb_robot_get_device( );
  right_motor = wb_robot_get_device( );
  wb_motor_set_position(left_motor, INFINITY);
  wb_motor_set_position(right_motor, INFINITY);
  wb_motor_set_velocity(left_motor, );
  wb_motor_set_velocity(right_motor, );
} { wb_robot_init();

  init_robot(); (wb_robot_step(time_step) != ) { move_forward();
  }; wb_robot_cleanup(); EXIT_SUCCESS;
} /*
 * Copyright 2019 Albert Alfrianta
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * 
 * 
 * Created on: 2019-09-16, Bogor, Indonesia
 * 
 * Contact: albert.brucelee@gmail.com or https://www.linkedin.com/in/albert-alfrianta/
 * 
 * Description:
 * 	Simple e-puck robot program to make the robot move forward
 * 	Written in C programming language
 * 
 */ # include <stdio.h> # include <stdlib.h> # include <string.h> # include <webots/device.h> # include <webots/distance_sensor.h> # include <webots/led.h> # include <webots/motor.h> # include <webots/nodes.h> # include <webots/robot.h> int /* Motor device */ static /* E-puck angular speed in rad/s */ # MAX_SPEED 6.28 define /* function to get simulator time step */ static int get_time_step () static int -1 if -1 int return /* function to set motor velocity to move forward */ static void move_forward () /* function to init robot stuff */ static void init_robot () // get simulator time step // get a handler to the motors and set target position to infinity (speed control) "left wheel motor" "right wheel motor" 0.0 0.0 /* main function */ int main ( argc, **argv) int char /* necessary to initialize webots stuff */ /* main loop
   * Perform simulation steps of TIME_STEP milliseconds
   * and leave the loop when the simulation is over
   */ while -1 /*
     * move the robot forward
     * */ /* Enter your cleanup code here */ /* This is necessary to cleanup webots resources */ return Then click “Build” menu, then click “Build” submenu. Make sure that your controller program is open in webots text editor before build. The important things about this program: wb_robot_get_basic_time_step() Webots have simulator time step. The is the time step increment used by Webots to advance the and perform physics simulation . basic time step virtual time [reference] wb_robot_step(time_step) This command is to perform simulation steps. This needed for the controller time step. The is the time increment of time executed at each iteration of the control loop of a . We must call this to synchronize our program and the simulator condition. It will return -1 if the simulation is stopped. If we not call this command, the robot will do nothing. For example the wb_motor_set_velocity(left_motor, MAX_SPEED) only set the motor speed value. So we need to call and looping the wb_robot_step(time_step) command to make the robot move. controller time step controller Program Flow: First we initialize the robot, and the necessary stuff like get handler to the motors. Then we make the robot move forward using the while loop. When the while loop exit, we cleanup the webots resources. Note: in this program we run an infinite while loop, so the wb_robot_cleanup is never reached. 7. Setting e-puck robot controller Double-click on the “E-puck” node in the scene tree. This should open the node and display its fields. Select the “controller field, then click select, then choose your controller name (here my controller name is “e-puck-move_forward”). ” 8. Play it Above the 3D window, click play button to run the simulation in real-time). If the simulation is run, then this button is turn into pause button. Click this pause button if you want to pause the simulation. The simulation is look like below: 9. Lastly Don’t forget to save your world by click the save button or by menu “File -> Save World”. When a Webots world is modified with the intention of being saved, it is fundamental that the simulation is first paused and reloaded to its initial state, i.e. the virtual time counter on the main toolbar should show 0:00:00:000. Otherwise at each save, the position of each 3D object can accumulate errors. Therefore, any modification of the world should be performed in that order: pause, reset, modify and save the simulation Download this Project You can download this project from my . Simply download it, and run it in your webots. GitHub Going Further Please read this to advance your knowledge. tutorial Next Tutorial Stay tuned for more tutorial. Give response if you like or if you have any advice. Contact me if you have any question at my LinkedIn Thank you!

How to Create and Play a Simple Robot Program via Webots Robot Simulator

The inspiration for expanding upon my came from a recent phrase that I heard, "whatever can be automated will be automated.” With such obvious monetary incentives for organizations to automate, the million-dollar question is how tech professionals should best prepare themselves for the future. In order to answer that question, we need to dive into which processes can be automated and what the implications will be for tech professionals. prior predictions What Can Be Automated? UiPath, a leader in robot process automation, outlines to determine whether a process should be automated. While their criteria focus on RPA, the concepts translate well to other areas that can be automated. five sets of criteria Criteria #1: Employee Involvement Time-consuming or relying heavily on manual efforts. Manual efforts lead to errors in processes. Criteria #2: Complexity Complexity can be a good or bad thing when considering automation. Assessing complexity can be based on the number of applications/systems involved, the frequency of human intervention, and the number of steps required to complete the process. Higher complexity processes might be more desirable to be automated but could also be more difficult to automate. Criteria #3: Volume High volume activities warrant more consideration for automation because they would net a higher ROI. Criteria #4: Standardization and Stability AI applications are primarily focused on narrow AI. Therefore, the automation requires a process to be dependent on rules-based decisions that do not require a computer to make a subjective choice. Subjective choices are for humans for the foreseeable future. Criteria #5: Difficulty of Outsourcing Processes that require more control and autonomy cannot be outsourced. If accuracy and control are top priorities, an internal automation strategy might be appropriate. Summary In general, automation is perfect for processes that are repeatable, high volume, time-consuming, rules-based and will justify the expense of setting up and maintaining the automation. How Will Automation Happen? AI is nothing like the movies. We are nowhere near a time where you can talk to Siri and have her create an "Uber-like" mobile app instantaneously. The wave of AI and intelligent automation will increase the number of interactions that occur between computer to computer, as opposed to human to computer. A comical example is the autonomous call screening by Google's Android operating system. When I receive an annoying robocall, Android screens the call and answers for me. The result is two software bots having a conversation. Sounds like a joke from a Rick & Morty episode. Narrow In a business sense, this will often take the form of a script that calls an to perform an action. The script is a set of instructions that tells one computer to contact another computer to perform the desired action. Common APIs include Twlio's SendGrid that sends emails based on certain rules, and Okta that enables user authentication when logging into a web application. APIs are becoming so important that they are supporting billion-dollar companies (e.g., Twilio, Okta, Stripe). application program interface (API) When it comes to data science, Google publishes , such as their image classifier, that can be easily integrated into the software. Microsoft has , a no-code tool in Azure that can build simple machine learning models. machine learning algorithms Azure Machine Learning Studio Speaking of no-code tools, these are popping up everywhere. You no longer need to be a programmer if you want to build a simple web application. Tools like Adobe XD make it easy enough for anyone to create a quick MVP for a data product or a web app. One of the coolest no-code software is applications that run the This AI model allows users to type in questions as input and receive large chunks of computer code as output. Whether it's GPT-3 or another tool, we should not be surprised if the code in low complexity functions or applications is largely written by narrow AI. These tools and open-source algorithms will only improve over time. GPT-3 model. One of the coolest no-code software is applications that run the This AI model allows users to type in questions as input and receive large chunks of computer code as output. Whether it's GPT-3 or another tool, we should not be surprised if the code in low complexity functions or applications is largely written by narrow AI. These tools and open-source algorithms will only improve over time. GPT-3 model. Which Job Responsibilities Are Safe? With RPA and APIs set to take over high volume, repeatable processes, this begs the question, what job responsibilities will be left for tech professionals? There are three primary streams of job responsibilities that appear to be safe from automation for the next 5 to 10 years. An import prerequisite for these predictions is the assumption that we are still in the of corporations moving to the cloud. early innings Stream #1: Automation Creators and Support Team Automation is not created instantaneously, nor is it free. All automations are created and maintained by a plethora of data and tech professionals, whether you see them or not*. As mentioned previously, API-first companies employ thousands of data and tech professionals. With increasing reliance on these interfaces, I would only expect these positions to grow in demand. Take a look at , and you will see hundreds of jobs for software engineers (e.g., backend engineer, fullstack, etc.). Software engineers are needed to build, maintain, and integrate open-source algorithms and APIs into data products or web applications. Stripe's job openings If robot process automation takes off, the demand for RPA experts will soar. Productionizing a UiPath workflow requires experts in requirements gathering, developing the automation process, and productionizing the automation process. UiPath lists several different career paths in their . In a few years, one could see the inclusion of UiPath in job postings become as ubiquitous as Tableau or PowerBI is nowadays. UiPath Academy A good rule of thumb for this group is that anyone with "engineer" or "developer" in their title is safer from the threat of automation because these are the . In addition to the builders, you will need professionals that enable and facilitate their work. We will refer to them as the enablers. We will need the builders and enablers for the following: builders Builders Build and maintain tools that enable building or automation processes (e.g., UiPath, APIs, etc.) Integrate APIs and open-source algorithms into web applications/data products Build, productionize, and provide support for RPA workflows Enablers Requirements gathering for automation needs Decision-makers and budget decisions for automation use cases Project and product managers for automation development Data quality and data governance specialists to ensure the data (and triggers for automation) are accurate and reliable Stream #2: Processes That Do NOT Fit The Automation Criteria Not every process fits the criteria required to justify setting up and maintaining an automated version. Automation is not worth the expense for processes that are low volume, ambiguously defined, require subjective decision making, and/or cannot be standardized easily. Here are a few job responsibilities that will be difficult to automate: Not every process fits the criteria required to justify setting up and maintaining an automated version. Automation is not worth the expense for processes that are low volume, ambiguously defined, require subjective decision making, and/or cannot be standardized easily. Here are a few job responsibilities that will be difficult to automate: Job Responsibility Job Title(s) Aligning stakeholders towards a common goal Director, Project Manager Gathering requirements and translating them into technical lingo Business Analyst, Analytics Engineer Building a quick MVP that fits a customer's needs Sales Engineer, Citizen Developer** Understanding a customer's needs in order to sell them on why they need to purchase a specific software product Account Executive/Sales Managing the development of a product and prioritizing requirements based on business need and technical complexity Product Manager Extracting quick insights from a data set with strong domain expertise Data Analyst Ad-hoc research projects designed to understand a data set at a deep level to drive decision making Data/Decision Scientist Defining the source of truth for data and specific data definitions Data Governance, Data Quality **Citizen developers are part of the new wave of professionals who can perform tech responsiblities with the assistance of software (e.g. RPA citizen developer, citizen data scientist on Alteryx, building MVPs with no code tools, etc.) Stream #3: Digital Transformation Team Because we are in the early innings of the shift to the cloud, one can expect a high demand for professionals or automation that enables this digital transformation. The digital transformation can be broken down into three layers: Cloud infrastructure Data Engineering Data Science The industry move to the cloud will require tech professionals who can set up the cloud infrastructure, support the ongoing maintenance, and keep it secure. This will require an increasing level of demand in cloud expertise, DevOps, and cyber security. The next layer above the infrastructure is data engineering. With data volume , the need for expertise in ingesting, cleaning, storing, and moving this data will continue to grow. Moving high volumes of data quickly, while maintaining quality, will be a necessity for organizations for many years. Job titles in this area often include data engineers, analytics engineers, BI engineers, analytics managers, and data managers. growing exponentially Once you have trustworthy data, you will need individuals who are skilled in manipulating, analyzing, visualizing, and modeling the data. You cannot make data-driven decisions without a comprehensive understanding of what insights can be drawn from the data and the data. beyond While the job responsibilities within the digital transformation team will be a necessity for at least another five years, one could easily envision automation taking a bite out of demand. Software will likely reduce the total hours of human labor required to perform many of the processes within this stream. Examples include the following: Software that speeds up exploratory data analysis Running ML models via no-code tools (e.g. H2O, Data Robot) AI algorithms automate some of the data cleaning/engineering process (e.g. Prefect) Software can automate the creation of data visualizations Monitoring and detection software can automate aspects of cloud engineering and cyber security This stream's job responsibilities are the most vulnerable to being somewhat replaced by automation. Who will be responsible? When thinking about the future, it is more beneficial to think about job responsibiliteis than job titles. Job titles change frequently, while job responsibilities are more stable. There is more signal in the latter. It is akin to watching the market price of a stock rather than the underlying fundamentals when making long term investment decisions. Five years ago, a competent data analyst only needed to be an expert in Excel and/or SQL. Nowadays, the best data analysts are expected to be competent in a suite of technologies and methods. This list often includes Python, R, SQL, Tableau, PowerBI, and machine learning concepts. Data scientist job postings are finally starting to find some stability. As I mentioned in a , the bifurcation of their job responsibilities into decision scientists/analysts and software engineers continues to be on track. previous article The average "business" role will become more technical. I have noticed many of my friends without the traditional STEM background (or job title) are taking on more data-centric responsibilities. Because of the overwhelming demand for understanding data, the typical "business" professional will be required to learn more about software development and data science concepts and tools. No longer will it be sufficient for undergrad business majors to only be competent in basic Excel and descriptive statistics. Data analytics, data science, and information technology courses are becoming more foundational. Final Thoughts The two primary drivers that guide my predictions for future tech professional roles are the long-term shift to the cloud and the desire from organizations to reduce labor expenses by automating everything possible. Over the next decade, I envision a world where the job responsibilities that are safest from automation will be those who benefit from these two technological shifts. The primary beneficiaries will be those who build and maintain the automation, those who support the digital transformation, and those whose roles require subjective decision-making. Translating these streams to job titles, I see the following tech professional career paths as the safest from becoming automated. Software Engineers Software Sales Engineers/Other Sales Roles Technical Project/Product Managers It is not a coincidence that all of these jobs are common at start-ups. That would line up with which processes and functions are the most foundational to a software business. When applying these learnings to your career journey, I rely on the concept of a moat from the investing world. A moat is a company’s ability to maintain competitive advantages over its competitors. The biggest moat that data and tech professionals possess is their intense desire to continue learning and upskilling. If you want to be safe from AI replacing you, I recommend you make learning a constant in your life. ~ ™ The Data Generalist Data Science Career Advisor South Park Twitter Account, PepsiCo, Table by Author Image Sources: Also Published Here

The Tech Jobs that Cannot Be Replaced by AI

The year is 2020, and everyone is excited about the unpredictability of its rollercoaster ride. We are all strapped in and are ready to go, but there are still some vacant seats. The rollercoaster refuses to set sail unless all seats are with occupants. We do not understand this seer nature of 2020 and why it is bringing these new terms and conditions into play. We, however, have some candidates in mind to occupy the vacant seats. Their inevitable existence has been in the shadow of our minds for some time. But now its time to let these cousins of ours into the fold. Enter the robots, and the 2020 rollercoaster ride commences. We as humans, however, insist that we captain the ship and must decide on which route the year should sail since we have more experience. The year 2020 ended on a positive note with 2020 expected to introduce a wave of robotic phases. Everyone was excited about the T robotic debut that intended to make a statement about the new robotic era. okyo Olympics 2020 However, the surprise of the Covid-19 epidemic pushed the event to July 2021. The human prone industrial segments were also in a bit of disagreement on how fast the robots were taking over the industry. The manufacturing and retail sectors led the protest until Covid-19 showed its daring face. However, the onset of this fatal virus gives us more reasons as to why the robots are only our nemesis in the Terminator sequel movies and not in real life. It is no longer about fighting for a job opportunity but the survival and prosperity of the human race. We all at some point looked at robots as the workaholic that never tires nor complained, but now they are also our go-to safety net against pandemics like the Covid-19. More than ever, this pandemic has increased the trajectory need for robots in the fast-paced facilitation of goods and services. Thus the demand for robotic technologies is now higher than the thirst for oil and gold. Let us step into some trends and opportunities in play: 1. Healthcare The onset of the Covid-19 plague brought a dark cloud to our world. The robots and robotic gears have been vital in managing its spread and containment. Since the Coronavirus preys on human contact, the healthcare medical personnel had to find a way of treating the affected patients without too much exposure to the same patients and their environments. Thus issues like disinfecting the healthcare facilities and medical equipment can be thorough and efficient . Mass disinfection of affected areas with an isolated population can be effective through drones that can monitor, survey, and spray aerosol. Hence through robots, it is possible to run healthcare routines remotely. robots The role of the need not stop at the Covid-19 level as it is a gateway to their permanent stay in the medical profession. They can be competent in assistive surgeries, record-keeping, and patient dosage monitoring. We already have the into the fold, and thus, it is safe to state that it is an excellent opportunity for the nursing homes for maximum healthcare. healthcare robots robotic nurses 2. Food and Nutrition The most important lesson from the outbreak of the Covid-19 pandemic is that we need to be more vigilant in our social ways, especially when handling food. Hence it is prudent to get the assistance of a robotic arm nowadays as a safety precaution. Since we cannot rely on our hands to make coffee, especially in a public environment, the likes of the robots under are already a step ahead. They are in their own secret coded language telling us that Covid-19 might change our lifestyle, but it will never in any way affect the way we take our coffee. You only get to interact with such robots on your coffee venture and not risk human social contact masking the Covid-19. Rozum Cafe Such robotic baristas are already causing ripples of excitement in the technological space. It is because they are the founding fathers of what is to come. We are already hearing of robots making hot dogs. The mastery of in making snacks and appetizers will very soon lead them to a 5-course meal achievement. We are likely to drool every time a robot will step into the kitchen to prepare a meal. simulations foodservice robots 3. Automobiles Such a fast-paced journey into the robotic world requires the comfort of an automobile environment. The robots are peacefully yet aggressively invading the automobile industry with good intentions. We would no longer need a tire behind the starring wheel of a vehicle and risk getting into accidents. The are gaining more recognition. They are what the world needs to redefine its routes. The in the self-driving vehicles will help in analyzing the possibility of taking an alternate route through a decision-making algorithm in regards to traffic congestion and accidents along the way. They also have a hand in the delivery of medical supplies during this Covid-19 pandemic. Companies like Alibaba have for delivering ordered products from their online platforms. Thus we can comfortably state that our 1000 mile journey is purely robotic. self-driving cars technological improvisation robot prototypes 4. Retail Since our presence in the public limelight is becoming scarce each day due to us being the favorite prey of the Coronavirus, it is only logical that the robots occupy some of this space for business to continue. The retail stores require a lot of record-keeping, invoicing, and fetching reports. Since the are the masters of this craft, they can fetch an item for a customer and update the records based on the numbers sold and those remaining. They, moreover, help the users and customers in discovering the location of specific products. These also portray social traits like smiles and greeting customers on their way into the store. Their presence is no longer a prediction but a situation already in play. retail robots improvised robots 5. Manufacturing The manufacturing world continues to reap from the strength of long powered robotic arms. They are priceless in lifting tons of goods at warehouses and in effortlessly tackling tasks that might put human lives at risk. With industrialization seeking a rebirth this year, the are at the frontline for a fast pacing task assignment. Fast production is the theme of their work ethics. manufacturing robots The year 2020 is trending with a lot of opportunities for some with an intension of fully transforming the industry. robotic candidates So it would be wise to reserve a rollercoaster seat for a robot friend for they have earned their place in the human fold. The onset of the Covid-19 pandemic came at us with everything it got and forgot about the robots that always have our backs from day one. It is thus a wake-up call, and we should be wary. Covid-19 was not the last attack on humanity, but it is the last attack to surprise us. With robotic technology as our prime weapon, any social or economic warpath should be afraid of us. The robots are creating for us a blissful technologically-driven future with all expenses paid; we just need to say yes to the offer.

Five Industries That Could See An Influx of Robots

Envisioning the future of robotics

This is by (source: ). Véliz is an Associate Professor at the University of Oxford. Twitter thread Carissa Véliz @CarissaVeliz 07-01-2023 https://twitter.com/CarissaVeliz/status/1675072644272517122?s=20&embedable=true&thread=true OpenAI and Microsoft are being sued in California for $3 billion over alleged violations. Here's a short thread on why this lawsuit is important and worth following 🧵👇 #privacy #AIEthics First, OpenAI and Microsoft are currently spearheading , with Microsoft being one of the largest big companies. The implications of the suit will affect Generative AI more widely. 2/ #GenerativeAI #tech Second, $3 billion is a very decent amount of money. In most of the fines and lawsuits we've seen in the past few years, the stakes are a fraction of that. 3/ Third, and in my view, more importantly: it shows that privacy concerns are universal. When Italy first banned on account of concerns, some critics thought Europe was isolated in these concerns. 4/ #ChatGPT #privacy So, what are the privacy concerns? That OpenAI has scraped off data from the internet, including personal data, without paying for it or asking for people's consent. In short, they've stolen that data, according to the lawsuit. 5/ Personal data stolen includes names, contact details, email addresses, payment information, social media posts, chat log data, usage data, analytics, and cookies... 6/ "Defendants have been unjustly enriched by their theft of personal information as its billion-dollar AI business, including and beyond, was built on harvesting and monetizing Internet users’ personal data," the lawsuit states. 7/ #ChatGPT What would happen if the plaintiffs win? They would need to be compensated. OpenAI would need to disclose what data they are using (easier said than done, as it doesn't seem like they have a record of the data they've scraped off the internet)... 8/ And OpenAI would need to give people a chance to opt out of data collection, at a minimum. But we are also seeing cases in which companies are asked to delete the algorithms that were trained with data that was collected unlawfully...9/ Here's why this all matters. First, because privacy matters. For more on that, check out my book, Privacy Is Power. But there's more... 10/ https://carissaveliz.com/books This lawsuit matters because, up until now, the attitude of tech companies has been to do what they want, and then expect the world (including the law) to adapt to them. This is a challenge to that pattern. It suggests it's that should adapt to society (and law). 11/ #tech But isn't this kind of challenge going to stifle progress? No. Technical innovation that leads to the erosion of rights and democracy is not progress. And can be designed differently; not worse; just in accordance with rights and in support of liberal democracies. 12/ #AI To read more about the lawsuit: 13/13. https://www.vice.com/en/article/wxjxgx/openai-and-microsoft-sued-for-dollar3-billion-over-alleged-chatgpt-privacy-violations?embedable=true The lead image for this article was generated by HackerNoon's via the prompt “Robot testifying in court.” AI Image Generator

OpenAI and Microsoft Are Being Sued in California: Here's Why

The Birth of an AI Martyr 

একজন এআই শহীদের জন্ম

Die Geburt eines KI-Märtyrers

El nacimiento de un mártir de IA

La naissance d'un martyr de l'IA

एआई शहीद का जन्म

AI殉教者の誕生

AI 순교자의 탄생

O nascimento de um mártir da IA

Bir AI Şehidinin Doğuşu

Sự ra đời của một người tử vì đạo AI

AI烈士的诞生

Just Getting Creative and Having Fun Doing It! Photo by on MontyLov Unsplash The Day Begins Bryan woke up with a gentle alarm in the form of the embedded chip that all humans had for interfacing with the 2050 digital device ecosystem. “So much less stressful than the antique alarm app”, he reflected. His SiriBot AI secretary and the assistant robot came up to his bedside and spoke. “What game would you like to play today? Cricket as usual?” Bryan smiled. The thing he liked the most about his digital devices was the virtual reality and augmented reality sports he played every day. Getting up, he grinned in anticipation. “I’ll play cricket”, he said. “I’d like to play as Chris Gayle in the IPL, the Bangalore match. The 177*(65) run innings.” “Done, sir”, said the assistant as she loaded the appropriate date and environment factors, complete with the cheering crowd, the commentators, the augmented reality bat, and the VR sim system that every house had to create the arbitrary life period that their owners wanted to live. The VR experience was so complete that even the smells and the running and talking to the virtual players seemed life-like, with your own wish to do whatever you wanted in the sim system. Bryan played for two hours, and was drenched in sweat when he came out. The sim system had already reset itself to a blank setting and was ready for another simulation. The 1000-bit quantum computer that simulated the holograms, the interactions with other virtual characters, and the correct brain neurons to simulate when you, say, kissed a cheerleader (or went a little further), was ready for its next operation. These quantum computers far exceeded any capacities, calculations and operations that classical counterparts had ever done. With the embedded human-computer-interface in the brain, the entire house could be controlled by mere thoughts of command. However, words were preferred as words could be more easily controlled and regulated than thoughts and feelings. “That was fun”, said Bryan to the SiriBot. “What’s on my agenda today”? “Well, sir, you need to choose your cuisine for the day and a human-interaction session is scheduled with your wife and children from 10 am — 2 pm. You will be going to Switzerland (virtually, of course, on the sim room and having lunch with your family. The 3-D food printer is a little low on creational supplies, you will need to schedule a refill. Your friends on the Virtual Simulation Ethical Control Council are waiting for your input on a few questions. Also, you need to finish your novel. Would you want a massage while you cleanse your body in the iBodyCleaner pod?” “Just don’t overdo it, I’m a little sore in my lower back.” “Oh, I know sir,” said the iRobot OS-based SiriBot. “We are bound by the Three Laws, after all.” Bryan slowly relaxed and recollected the history of the Three Robotics Laws as the automated drones cleaned every area of his body. , he thought Jeez, but Isaac Asimov was right Photo by on Maximalfocus Unsplash The Three Laws Robots had initially threatened the human race as a superior being evolving past an inferior race, just as Elon Musk had predicted in 2018. Early prototypes had had multiple instances of human conflict incidents. After that, the Three Laws of Robotics were implemented — their text being: The Three Laws were: A robot may not injure a human being or, through inaction, allow a human being to come to harm. A robot must obey the orders given it by human beings except where such orders would conflict with the First Law. A robot must protect its own existence as long as such protection does not conflict with the First or Second Laws. They were introduced by the science fiction legend Isaac Asimov in 1942, and made famous in the movie after Asimov’s book of the same name, Bryan remembered. Since Elon Musk’s 2018 prediction about AI destroying humanity, and the first malicious robot created in MIT in 2024 that murdered 391 people in the city before being melted down, every robotic being had these laws programmed into their operating system, . Any operation that violated the Three Laws was erased directly after processing in the core of the robot’s neural system (kernel - a quantum-mechanical cerebral cortex). I, Robot iRobot Humans and robots had lived in harmony after the introduction of the Three Laws. “Tell the Ethical Control Council that I’ll see them at 4 pm”, he told SiriBot. “I have more important things to do.” “Yes, sir. Your wife and children are ready now.” Since the creation of SimLife holographic Virtual and Augmented Reality Systems in 2045, named after a popular computer game first created way back in 2000, physical travel and physical contact were reserved for family, friends, and disaster conditions or emergency situations. All environments, weather conditions, experiences, sights and sounds, bodily emotions, sensations, and feelings, could be simulated by the quantum computer master system installed in every home, worldwide. Bryan used a Neuralink-controlled Segway to travel to the door. He remembered the last carbon emission vehicle being decommissioned in 2031 courtesy Tesla’s electric vehicles, the sustainable solar and wind energy harvesting installation providing 100% of the world’s energy supply in 2028 by SolarCity, distributed ledger systems (DLT) democratizing wealth and social circumstances as early as 2030 by Hedera Hashgraph, the first 200-qubit general purpose quantum computer developed by China in 2027, Maglev trains being installed worldwide by Hyperloop in 2030, the first sentient robot developed by QuantumAI in 2035, the first viable SimLife prototype in 2040. he thought. So much technology, so many quantum leaps, so many tipping points, in so little time, It’s a wonderful time to be alive. “Hi, dad!”, squealed his youngest child, Steve, all of 8 years old and already showing excellent promise and potential in computer-generated artistry. His elder child, Natasha, 10 years old and incredibly talented in e-sports, waved with her characteristic winning smile that made everyone around her feel happy always. The kids hugged him. And behind them, walking slowly and enjoying every moment of this happy scene, came his wife, Carol. Meeting her eyes, he laughed for sheer joy. Photo by on Xavier von Erlach Unsplash Tell Me How It Works, Dad! “So, I don’t get it, Dad”, said his younger child, Steve. They were (on the SimLife quantum computer master simulation environment) on a mountainside in Switzerland having a pleasant picnic and enjoying the cool Swiss summer. As they ate their 3D-printed food (Steve was having a pepperoni pizza, Natasha a deep-fried cheese lasagne, Carol a German sauerkraut, and Bryan himself a South Indian Mutton Biriyani- his favorite) synthesized from the raw materials processed by their robot cooks. “There was a time when no one had quantum computers?” Bryan swallowed a mouthful of his biriyani. “Yes, Steve. General-purpose quantum computers came into being only in 2027, and China was the nation that developed it. The key was that outer space was already an excellent temperature to perform quantum computing. The first general-purpose quantum computer was built in orbit by a set of Chinese engineers. They found very fast that a 200 qubit quantum computer enabled — well — , for lack of a better word. It wasn’t just algorithms and computation. We could simulate any system anywhere in the world if we had a quantum computer with over 100 qubits. It was a discovery.” wonders quite “You said some of the people in the world had no money once upon a time. Is that really true? How could the rest of the world endure the guilt?”, asked Natasha. “Yes, Nat. Before tokenization and hashgraph democratized wealth and the rich understood that it was detrimental to their own existence that others lived without basic necessities, there were poor people. No food. No water. Lots of illness.” “Seriously?”, asked Steve, stupefied with wonder — and some shock. “Yes, Steve”, said Bryan patiently. “The time between 2025–2030 was marked by a drastic outreach of kindness and the creation of wealth as modified versions of cryptocurrency were adapted by the richest nations for in a wave of compassion to reach every nation that was in need. We actually mark 2030 as the year that poverty became a thing of the past. It was basic human rights. Distributed Ledger Technologies were used everywhere. Everywhere. Every company that was profitable only survived because they knew how to use DLT and minimize processing and bureaucratic delays between business operations. Governments saw that regulation and no bans were necessary to generate the wealth that the poor needed. The earth always had enough for her people. It was just that the distribution was unequal. The inequality was removed by the power of DLT and tokenization.” “Then you said our robots were controlled 20 years ago. How do you have a robot that has no autonomy? That’s crazy!”, exclaimed Natasha. Bryan smiled internally, recalling the enormous ethical debates that had sprung up once QuantumAI built its first completely autonomous robot. To his kids, he said,” In 2035, the first 100% sentient autonomous robotic artificial life was built by QuantumAI. We modeled vision by 2023, hearing by 2026, touch and taste by 2028. Of course, computers spoke as early as 2020. The key insight was that once every subsystem of a human being was modeled or simulated in software, we essentially had sentience since the robot, still being simulated, did everything a human being could do, including reproduction and creativity. Computer systems were painting and composing as early as 2017. But complete functionality was reached only in 2035. So, we had robots thinking by themselves only even just 15 years ago”. “I’m serious, I’m not kidding!”, he grinned while he told them, as his children were looking awestruck. “So, our robots now do everything we want without us governing them too much. The Three Laws of Robotics prevent any conflict between man and machine. And nearly all robots today are autonomous. Install and forget. And they do everything we can and many things we can’t. “Such as?”, asked Steve. “Well, they operate all our quantum computer space installations, and we terraformed Mars using massive robots that added water and oxygen to the Martian air. Now was something. We let robots build robots. Some of the terraforming machines were more than 10 miles in radius, and even as high. We hope to inhabit Mars without life-support systems around 2100.” that “Terraforming means changing the planet’s atmosphere and habitat to suit the human body and humanity’s needs, through robots and matter synthesizing quantum computing systems. Kind of like our 3d food printing synthesizers.”, Carol explained to the kids. “Is that even possible?”, asked Natasha, wide-eyed. Bryan thought back to 2040, when SpaceX had first proposed the idea. “Kids, if there’s anything I’ve learnt till today, it’s don’t say something is impossible. Napoleon Hill wrote so beautifully in 1937, “ ” in his all-time classic. There is nothing that mankind can do, because after all, as the Bible says, ” It was met with complete disbelief and doubt, yet our robotic systems worked perfectly. What the mind of man can conceive, the hand of man can achieve Think and Grow Rich, we are made in the image and likeness of God Himself. Photo by on Davide Cantelli Unsplash “My friend from China says God doesn’t exist”, said Steve, matter-of-fact. “Well, it’s up to everyone to decide. The International Religious Strife Ban was passed in 2024 and outlawed all wars fought in the name of religion. Any nation participating in a religious war was deprived of critical technology and knowledge workers that they desperately needed. Once people understood that, war based on religion became a thing of the past. It’s a very subjective and personal topic. The current trend of thought is , to believe in any religious system that harmonizes with the concept of life as we know it today. Don’t worry about your friend, and trust that you will understand more as you grow older”, said Bryan to his son. freedom of worship “What do believe, dad?”, asked Natasha. you Bryan paused. “I think I can say that we exist, the Universe exists, and had a beginning. And I believe that the only way to make peace with our existence as being prone to death is to believe that we exist after we die. Which means that we go somewhere, to someone. I believe that God exists, and that ethical behaviour is rewarded in our next life. The life after death.” What did he believe? “You believe in life after death with no proof?”, asked Steve, sceptically. “Son, believe me, there is plenty of empirical proof. Near-death experiences and supernatural manifestations of miracles have existed from the earliest time of humanity till today. Systematic study will lead to the belief in a possibility of the next life. And physics proves it. And matter is energy in a stable form. So, we do not stop existing after death either. In that case, we must have an existence. Hence the understanding that the laws of physics themselves show that life after death is real. Energy cannot be created or destroyed, it can only be transformed from one form to another. . Everyone is free to believe whatever they like, as they like, in the way they like. Freedom of worship is a fundamental right of humanity. Or, like your friend, even not to worship at all”, Bryan explained to his son. But no compulsions “But it’s different for every human being, personally. And that’s all right. Because that’s the way it should be. To really live life, we need freedom in everything we do.” “Time for you to prepare for your conference, sir”, said the SiriBot, through their Neuralink interfaces. “He’ll be there in a minute”, replied Carol. “OK, kids, pack up, it’s been a great lunch. Steve, you need to practice your art coding competition sections. And Nat, you’re due with your team for your next round of PUBG ( ) in another hour.” Planet Unknown Battle Grounds Photo by on Marc-Olivier Jodoin Unsplash “Can’t wait”, grinned Natasha. , thought Bryan. 2050’s not a bad time to live at all In fact, life just keeps getting better with time. The family entered the reset environment together and exited the SimLife platform in ten minutes, the time required for a full reset of the quantum computer. Bryan deeply loved and cherished his kids. Natasha had scored a 99.9% percentile score in reflexes and response times on the CGAT (Computer Game Aptitude Test) as early as 7 years old. Her progress from then on had been meteoric. She was ranked among the top 50 in the interplanetary arena and had achieved quite a celebrity status among her peers and the larger PUBG planetwide gaming community. Steve was just as talented, but in a totally different direction. He was a top ten computer art programming competition finisher in practically every single art through computer programming tournament he entered and was making quite an income for a child all of 8 years old. His artwork generated with his coding skills had consistently received rave reviews from the public and the Interplanetary Artist’s Hashgraph Blockchain Community. With his artwork receiving over 50 million views a day worldwide on the interplanetary VR master quantum Internet, it was something of a joke to Bryan and Carol that the kids were the earning members of the family, for all practical purposes. But he loved them — his kids. not for what they did, but who they were All additional income was just an added benefit. he thought, rubbing out a tear of parental pride and joy from his left eye as he mused. And they cherish me even more than I cherish them, Photo by on Nathan Dumlao Unsplash Maybe that’s what it’s all about. Children. Love. Marriage. Joy. Parenthood. Life in fullness. No master quantum computer simulator can hit that even with a one million qubit capacity That’s what keeps us human. From 7050 BC to 2050 AD, that hasn’t changed. The kids left for their activities. Bryan turned to his wife, and before she could open her mouth, kissed her on the lips and held her close to his chest. “We have much to be grateful for”, he said. “I know”, said Carol, and kissed him back. The Ethical Virtual Simulation Council Committee was waiting. Let them wait, he thought. He said, “You think, we could… ” you know. Carol looked at him quizzically. ” Know what?” “ he whispered gently, a thrill going through the very core of his being. That”, Carol kissed him again. “The kids won’t be back for at least four hours. ” Yes, please! “SiriBot, ask the Council to wait for a couple of hours. Tell them that I had an unavoidably urgent situation that came up as a complete surprise to me and delay the meeting by 2 hours”, said Bryan through his Neuralink. Carol laughed and embraced him. One last logical thought came to Bryan as he pressed her close to his body and removed his Neuralink and let biology do its work -. Even with all of quantum computing, VR, AR, DLT, ML, AI, blockchain, IoT, hashgraph, and robotics, this remains the greatest joy and gift of life. Also published here. Lead photo by on René Porter Unsplash

Life in 2050: The Day Begins

La vida en 2050: comienza el día

La vie en 2050 : le jour commence

2050 में जीवन: दिन शुरू होता है

2050 年の人生: その日が始まる

Vida em 2050: o dia começa

Cuộc sống năm 2050: Ngày bắt đầu

2050 年的生活：新的一天开始

If 30 years ago you would’ve told someone about self-driving cars, online shopping, or getting a cab delivered at your doorsteps using a few clicks, you would’ve been laughed at. But today, technology has offered a dimensional shift to the way we look at access to almost every service that we need. However, there are so many techs who themselves are evolving at a quick pace and inviting rapid changes to our lives. So, we decided to bring you this blog that offers briefs you about the top 10 emerging technologies in 2021. What value does this blog add to your life? Well, that depends on how invested you currently are in IT or if you’re planning to do so in the future. Are you a business in dire need to hire artificial intelligence developers? Or Are you in search of an AR development company ? So, in a nutshell, if you are pondering on the futuristic piece of tech that will be in congruence with your business needs, then this is the perfect read for you. Let’s begin. Top 10 New Technology trends for 2021 Here’s a list of the top 10 tech you should make a note of in 2021. Artificial Intelligence & Machine Learning Edge Computing Blockchain 5G Quantum Computing Virtual Reality & Augmented Reality Cybersecurity Internet of Things (IoT) Robotic Process Automation (RPA) Distributed Cloud Let’s have a brief look at each of the preceding techs. Artificial Intelligence (AI) & Machine Learning One can’t be alien to the buzz that has received over the years. The AI market is predicted to grow to a whopping 190 billion USD industry by 2025. The industry has received such recognition as its effects on how we work, live, and play is notable. AI offers tools to enhance navigation apps, personal assistants, speech recognition, ride-sharing, and more. AI’s functionalities can be further extended to offer insights by analyzing underlying connections. Other than this it can be used to make sound decisions about resource utilization for hospitals or other businesses. Also to analyze real-time data and predict changes in customer behavior and personalizing their user experience. A tech trend that an AR development company is quite familiar with. AI Machine Learning is a subset of AI that is creating many opportunities for skilled professionals across many industries. As per a prediction made by Forrester AI, machine learning and automation would account for 9% of new jobs in the US by 2025. These jobs can need profiles such as content curators, data scientists, robot monitoring professionals, and automation specialists, some additional tech trends that you can keep an eye out for. Edge Computing Cloud computing, a tech trend that became mainstream with the contribution of high tech players such as AWS (Amazon Web Services), Google Cloud, and Microsoft Azure. Yet, since the advent of Edge, it is no longer considered an emerging tech trend. The tech industry has realized certain prominent shortcomings of cloud computing. Edge is designed to offer a solution to the delay caused by cloud computing in getting data to a data center for processing. The best use of edge computing can be done in remote locations to process time-sensitive data that has no or limited connectivity to a centralized location. Edge computing will act as mini data centers in such situations. With edge computing, there will be an increase in the use of Internet of Things (IoT) devices. The worldwide edge computing market is predicted to reach 6.72 billion USD by 2022. Blockchain When you hear the word Blockchain, most people think that it’s related to cryptocurrencies such as Bitcoin. This is true but the tech also offers many other benefits. To understand blockchain in the simplest of forms, it’s data that one can add to but cannot change or take away. Hence, it contains the word chain because it forms a data chain. The USP of this tech is the unchangeable previous blocks, which makes it more secure. One of the other specialties of Blockchain is that no one entity can control the data as it’s consensus-driven. With this tech, you don’t need to validate or oversee transactions using trusted third-party services. 5G The Internet has offered us so many conveniences. Majorly all the services we use today are because of the internet. But it’s mainly due to the 3G and 4G services that we’re able to use data-driven services with increase bandwidths to browse our favorite video on YouTube or listen to our favorite song on Spotify. However, the game is going to get better with the introduction of 5G services. 5G will enable services based on VR & AR. It will also add speed to using cloud-dependent gaming services such as NVidia, GeForce, Google Stadia, and more. The tech can enhance safety and traffic management by providing HD cameras, help factories with smart retail and grid control. Every big name in the telecom industry such as Apple, Verizon, Tmobile, Nokia Corp, Qualcomm, and more are heavily invested in developing 5g applications. Quantum Computing Quantum computing is a remarkable tech that makes use of quantum phenomena like entanglement and superposition to compute data. Using this a tech company can easily monitor, analyze, and act on a particular data. It has proved to be extremely useful in preventing the spread of coronavirus. Quantum computing also offers great services in the field of finance and banking. It can be widely used for fraud detection, high-frequency trading, and managing credit risks. Many renowned companies such as Honeywell, Microsoft, AWS, Splunk, and Google are now making innovations in the field of Quantum Computing. The sole reason behind the same is that these computers are a multitude of times faster than normal computers. Virtual Reality (VR) and Augmented Reality (AR) Virtual Reality and Augmented Reality are exceptional tech trends that have helped many industries to enhance their service or product presentation. The difference between the two is that VR immerses the user in its stimulating environment while AR adds certain things to their current environment. Many share the belief that these techs are only important to the gaming industry. This is so not true today in 2021. The tech is highly used in real estate companies, and by companies like LensKart to enhance their product presentation techniques. It has also been used to train the U.S. Navy, Army, and Coast Guard Ship Captains as simulation software. You can expect this tech to integrate further convenience into our life in 2021. AR and VR can work collaborating with other techs that we’ve mentioned in this list. Both techs have immense potential to contribute in industries such as entertainment, training, marketing, rehabilitation after an injury, and education. It can be used to offer a deeper experience, train doctors for surgeries, enhance marketing campaigns and theme parks. You can hire AR developers to design convenient business-specific solutions for your clients. If you take a look at the numbers a good 14 million VR and AR devices were sold in 2019. And as per future predictions, the AR and VR market is expected to grow to 209 billion USD by the year 2022. Cyber Security You might think why has Cyber Security made this list when it has been around for a while now. The reason behind the same is that it has been evolving at a rapid pace now. As the internet presents you with new threats regularly, ethical hackers need to upgrade their knowledge to prevent confidential data. We know that the malevolent hackers will try their best to make their way through our toughest of security measures. But if they don’t give up, why should we? The other reason is that new additions to tech are highly focusing on ways to enhance security. So as long as we have to fight this battle against hackers, Cyber Security will be a trending tech. The need for cybersecurity is so high that 6 trillion USD will be spent on the same on a global scale by 2021. Internet of Things (IoT) As you might be aware, today many “things” or “devices” are being designed with built-in wifi technology. This is being done to help them connect with the internet and to each other. The internet of things solutions offers futuristic ways to connect tech and data to foster its efficient use. The same has already been applied to cars, home appliances like TV, ACs, refrigerators, and more. Today IOT development companies are working hard to offer us solutions that can enhance our routine experience. For instance, we can track our fitness with our smartwatches, lock our doors using home automation tools, preheat our ovens, or start our ACs on our way back from our office. In addition to this, businesses have many benefits from IoT. As relevant data from machines is analyzed and processed, IoT can help enhance efficiency, safety, and decision-making for businesses. In addition to this, it can improve customer service, provide predictive maintenance, boost medical care, and offer other benefits that we haven’t yet imagined. Robotic Process Automation (RPA) Speaking of automation jobs, like AI and Machine Learning, Robotics Process Automation (RPA) is another upcoming tech you should look out for. RPA can be used to automate business processes such as replying to emails, dealing with data, processing transactions, and interpreting applications. RPA is proficient in automating repetitive tasks that one does regularly. As per Forrester’s research, RPA automation will affect approximately 9% of global workers or 230 million or more knowledge workers. Distributed Cloud Distributed Cloud will take cloud computing to next level. The services cater to the distribution of public cloud services to remote geographical locations. The operations, updates, and other related services will be managed centrally by the original cloud provider. This will offer added benefits to organizations such as minimizing data loss risk, cost-reduction, and reducing latency. Many techs that require processing huge data in real-time such as IoT and AI will have an added advantage. Final Thoughts This brings us to the end of the countdown of our top 10 emerging techs of 2021. All the preceding technologies hold tremendous potential and offer promising career opportunities. About the Author: Technource If you’re an entrepreneur looking for a to seek guidance for planning your investments into the right tech, then be sure to give contact us. Check our our profile on HackerNoon for more info: mobile app development company https://hackernoon.com/u/technource

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