Tech Talk article 01 Ultra advance Technology (AI), (M.L.), (R.P.A.), (E.C.) and many more.

             New world developed by

             science and technology

1. GPS mystery is making ships appear to            teleport and move in circles

Ships around the world are reporting false locations, seeming to circle Point Reyes near San Francisco when they are actually thousands of kilometres away.

The locations are broadcast by each ship’s Automatic Identification System (AIS). These are required under international law to signal a vessel’s identity and GPS location. Bjorn Bergman of the environmental watchdogs SkyTruth and Global Fishing Watch discovered the anomalies from a historical database of AIS information. 

2. This robot can tell when sewers need                 repairing by scratching the walls


A four-legged robot that inspects concrete can walk through underground sewage tunnels and detect when they need repairing.

Hendrik Kolvenbach at the Swiss Federal Institute of Technology (ETH Zurich) in Switzerland and his colleagues have developed a robot that scratches one of its legs against concrete to determine the condition it is in. The robot is waterproof and it can wade through water and climb over obstacles.

Because many modern sewage systems were built decades ago, constant underground monitoring is needed to prevent major leaks.

3. Artificial Intelligence (AI) 


Artificial Intelligence or AI, has already received a lot of buzz in recent years, but it continues to be a trend to watch because its effects on how we live, work, and play are only in the early stages. In addition, other branches of AI have developed, including Machine Learning, which we will go into below. AI refers to computer systems built to mimic human intelligence and perform tasks such as recognition of images, speech or patterns, and decision making. AI can do these tasks faster and more accurately than humans.

Five out of six Americans use AI service in one form or another every day, including navigation apps, streaming services, smartphone personal assistants, ride-sharing apps, home personal assistants, and smart home devices. In addition to consumer use, AI is used to schedule trains, assess business risk, predict maintenance, and improve energy efficiency, among many other money-saving tasks.

AI is one part of what we refer to broadly as automation, and automation is a hot topic because of potential job loss. Experts say automation will eliminate 73million jobs by 2030. However, automation is creating jobs as well as eliminating them, especially in the field of AI: Pundits predict that jobs in AI will number 23 million by 2020. Jobs will be created in development, programming, testing, support, and maintenance, to name a few. Artificial Intelligence architect is one such job.

While Machine Learning is a subset of AI, we also have subsets within the domain of Machine Learning, including neural networks, natural language processing (NLP), and deep learning. Each of these subsets offers an opportunity for specializing in a career field that will only grow.

Machine Learning is rapidly being deployed in all kinds of industries, creating a huge demand for skilled professionals. The Machine Learning market is expected to grow to 💰8.8 billion dollar by 2022Machine Learning application are used for data analytics, data mining, and pattern recognition. On the consumer end, Machine Learning powers web search results, real-time ads, and network intrusion detection, to name only a few of the many tasks it can do.

In addition to completing countless tasks on our behalf, it is generating jobs. Machine Learning jobs rank among the to engeenering jobs LinkedIn with almost 2,000 job listings posted. And these jobs pay well: In 2017, the median salary for a machine learning engineer was 106225dollars Machine Learning jobs include engineers, developers, researchers, and data scientists.

5. Robotic Process Automation or RPA


Like AI and Machine Learning, Robotic Process Automation, or RPA, is another technology that is automating jobs. RPA is the use of software to automate business processes such as interpreting applications, processing transactions, dealing with data, and even replying to emails. RPA automates repetitive tasks that people used to do. 

Although Forrester Research estimates RPA automation will threaten the livelihood of 230 million Kor more knowledge workers or approximately 9 percent of the global workforce, RPA is also creating new jobs while altering existing jobs. McKinsey finds that less than 5 percent of occupation ca be totally automated, but about 60 percent can be partially automated.

For you as an IT professional looking to the future and trying to understand technology trends, RPA offers plenty of career opportunities, including developer, project manager, business analyst, solution architect, and consultant. And these jobs pay well. SimplyHired.com says the average RPA salary💰73600 dollar, but that is the average compiled from salaries for junior-level developers up to senior solution architects, with the top 10 percent earning over $141,000 annually. So, if you’re keen on learning and pursuing a career in RPA, the introduction to robot Process Automation (RPA) courseshould be the next step you take to kickstart an RPA career. 

6. Edge Computing


Formerly a technology trend to watch, cloud computing has become mainstream, with major players AWS Amazon Web Series Microsoft Azure and Google Cloud dominating the market. The adoption of cloud computing is still growing, as more and more businesses migrate to a cloud solution. But it’s no longer the emerging technology. 

As the quantity of data we’re dealing with continues to increase, we’ve realized the shortcomings of cloud computing in some situations. Edge computing is designed to help solve some of those problems as a way to bypass the latency caused by cloud computing and getting data to a data center for processing. It can exist “on the edge,” if you will, closer to where computing needs to happen.