TOP 10 TRENDS IN SCIENCE 2020
Hello everyone ! hope u r doing well .Here’s a look at the top science trends that we have to look over . Science trends run around innovative research for efficient and sustainable life by the means of nature. Thus for inquisitive spectators we are having a brief look into the scientific technological trends .
We all know that today’s technology is evolving at such a high rapid rate such that if u don’t run parallel to it for a few months , in the sense makes you outdated . And while coming to the 20th century it was called as “ Age of Extremes” for really proper reason by Eric Hobs bow . likewise 21st century dominated it as expect in every aspect beyond our expectations . But here we go only with Scientific Technology.
TOP TRENDING SCIENTIFIC TECHNOLOGIES
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. In addition to consumer use, AI is used in navigation based applications and also to schedule trains, assess business risk, predict maintenance, and improve energy efficiency, among many other money-saving tasks. Unlike natural intelligence displayed by humans and animals it is demonstrated by machines .
2. DATA SCIENCE
When the technology grows rapidly that in-turn increases data ,so to handle it in a proper manner Data science evolved .Data Science is the technology that helps to make sense of complicated data. You know that data is produced in a humongous amount every day by companies. This includes business data, sales data, customer profile information, server data, and financial figures.
Machine learning (ML) is the study of computer algorithms that improve automatically through experience . With Machine Learning, computers are programmed to learn to do something they are not programmed to do: they learn by discovering patterns and insights from data. In general, we have two types of learning, supervised and unsupervised. 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 algorithms are used in a wide variety of applications, such as email filtering and computer vision .
Many “things” are now being built with WiFi connectivity, meaning they can be connected to the Internet and to each other. Hence, the Internet of Things, or IoT. The Internet of things (IoT) is a system of interrelated computing devices, mechanical and digital machines provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. IoT not only enables the connection between different devices but also their remote access. For example, you lock doors of your car remotely, preheat your ovens and geysers . Thus it is acutely a great turning point in the pace of scientific technology .
5. ROBOTIC PROCESS AUTOMATION
Robotic process automation (or RPA) is a form of business process automation technology based on metaphorical software robots (bots) or on artificial intelligence (AI)/digital workers. It is sometimes referred to as software robotics (not to be confused with robot software).In traditional workflow automation tools, a software developer produces a list of actions to automate a task and interface to the back-end system using internal application programming interfaces (APIs) or dedicated scripting language. In contrast, RPA systems develop the action list by watching the user perform that task in the application’s graphical user interface (GUI), and then perform the automation by repeating those tasks directly in the GUI. This can lower the barrier to use of automation in products that might not otherwise feature APIs for this purpose.
6. BLOCK CHAIN
Blockchain is the foundational technology that powers electronic currencies such as Cryptocurrencies. In simple terms, a Blockchain is an electronic ledger that can be shared among different users. This helps in creating a record of transactions that cannot be altered. Each of these records is time-stamped and linked to the previous one. So every time a new transaction is added to the ledger, it is stored as another block in the chain of transactions hence the name. Blockchain is updated after the different parties contributing to the ledger agree. After new data is fed into a block, it cannot be erased. This makes technology verifiable and secure.
7. EDGE COMPUTING
Formerly a technology trend to watch, cloud computing has become mainstream, with major players AWS (Amazon Web Services), 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. For this reason, edge computing can be used to process time-sensitive data in remote locations with limited or no connectivity to a centralized location.
8. VIRTUAL REALITY AND AUGMENTED REALITY
VR is the technology by which you can immerse yourself in an environment that seems astonishingly realistic. It is the use of computer technology for creating a simulated environment. It is very popularly used for playing computer games. Unlike traditional games where you experience the gaming environment by viewing it on the screen, you are directly placed in the environment! Senses such as touch, hearing, smell, and vision are simulated in these environments. Using VR gear such as headsets, you can walk around and play the game in that 3D world. Augmented Reality (AR) is the technology used for improving this virtual environment.
9. CYBER SECURITY
CYBER SECURITY might not seem like emerging technology, given that it has been around for a while, but it is evolving just as other technologies are. That’s in part because threats are constantly new. The malevolent hackers who are trying to illegally access data are not going to give up any time soon, and they will continue to find ways to get through even the toughest security measures. It’s also in part because new technology is being adapted to enhance security. As long as we have hackers, we will have cyber security as an emerging technology because it will constantly evolve to defend against those hackers. As proof of the strong need for cybersecurity professionals, the number of cybersecurity jobs is growing three times faster than other tech jobs
10 .INTELLIGENT APPS
Intelligent apps are software applications that make use of AI components such as machine learning, deep learning, data analytics, robotics, and natural language processing. They help you in making decisions based on real-time data or historical data. Examples of Intelligent apps are voice assistants such as Siri, Google Assistant, and Alexa. As companies such as Google, Apple, and Oracle continue investing in these applications, it is bound to create a lot of jobs in the future. Intelligent applications developers are sure to bring home fat paychecks!
So finally I hope You came to a brief and required knowledge with the major trends which are influencing our lives . Meet again in another interesting blog soon .
