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Why Robotic Process Automation (RPA) is Taking Over Your Job - Technext

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There have been predictions that Robots will take over our jobs. As of today, that prediction is rapidly coming to pass. Our imagination may tell us these robots are hardware, machines made of metal or carbon fibre. This is not quite the case, as these Robots are software called bots. Bots are programmed to repetitively automate operational and transactional tasks without the need for human input.


What is The Potential for Machine Learning in The Future

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Machine Learning works on the principles of computer algorithms that learn in a reflex manner through trials and experiences. It is an application of Artificial Intelligence that permits program applications to anticipate results with utmost precision. It makes a distinction to create computer programs and to assist computers to memorize without human intercession. The future of machine learning is exceptionally exciting. At present, almost every common domain is powered by machine learning applications.


Get 20 Percent Off Top-Rated Edureka Data Analytics Courses This Month

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Take advantage of these Edureka data analytics courses with the online learning platform's 20 percent off for the month of March. Data analytics skills are in high demand among organizations that are looking to use their collected data to generate valuable business insight. The pandemic and subsequent "new normal" of remote work are furthering demands for these skills. Many are turning to online learning platforms to up their game and acquire the data analytics skills most likely to help them stand out. And whether you are looking to acquire those skills for work or for play, this collection of Edureka data analytics courses will help you learn the ropes so you can pilot some of the most widely used tools in no time!


How is an AI Ethicist? Here's What Companies Are Looking For.

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Artificial intelligence, which was once considered to have the potential to impact lives everywhere is actually affecting thousands of lives every day in reality. AI algorithms are used in almost every sector – criminal justice, recruitment, news media, manufacturing, banking, military, law enforcement, etc. With AI being used in diverse areas, there is a growing worry among researchers that bias in AI can threaten human rights and society, coming in the way of free speech, right to resources and information, to name a few. With such risks, the need for ethical, responsible, and transparent AI is obvious. In 2019, the AI Ethicist role was established as top 5 hires for companies that want to succeed in the digital domain.


'Farms are going to need different kinds of robots'

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"A farm is going to need different kinds of robots," says Prof Chowdhary. "Some of them are going to be very small... others are going to be big, perhaps even as big as combine harvester. There will be an autonomous system that is co-ordinating this team of robots, telling them what they need to do in order to get different tasks done."


Japanese companies ramping up use of artificial intelligence, report says

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Fox Business Flash top headlines are here. Check out what's clicking on FoxBusiness.com. TOKYO - Japanese companies are ramping up the use of artificial intelligence and other advanced technology to reduce waste and cut costs in the pandemic, and looking to score some sustainability points along the way. Disposing of Japan's more than 6 million tonnes in food waste costs the world's No.3 economy some 2 trillion yen ($19 billion) a year, government data shows. With the highest food waste per capita in Asia, the Japanese government has enacted a new law to halve such costs from 2000 levels by 2030, pushing companies to find solutions.


Know Program - Home

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Java is a simple, secured, high-level, platform-independent, multithread, Object-oriented programming language. It is also a platform and technology. C is a general-purpose, middle-level, compiler-based, and procedure or function-oriented structured programming language. It was developed by Dennis Ritchie.


Nokia and UTS forge five-year partnership to launch 5G lab

ZDNet

Nokia and the University of Technology Sydney (UTS) have announced a five-year partnership to launch a 5G lab. To be built and run at the university's Tech Lab campus in Botany, Sydney, the lab will be used by the pair and their partners to live-test 5G use cases around the campus, including applications for IoT and smart cities. Nokia said the facility would also serve as a research environment to "explore the capabilities of 5G and 6G technologies for industry 4.0 applications such as industrial automation, agriculture and human-robot interactions, as well as'Internet of Things' capabilities for Internet of Energy applications in smart grid, energy storage and management, and wireless power transfer". The facility itself will feature a 5G lab and demonstration area. It will also connect directly into the university's existing anechoic radio frequency test chamber, which Nokia said would allow researchers to test the potential of Nokia's Massive MIMO technology and other antenna technologies. The UTS campus will also receive 5G coverage to enable use case testing in the lab and the field, the company added.


Intro to the Viterbi Algorithm

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In the last post on Hidden Markov models (HMM), we never solved the problem of finding the most probable sequence of coins used. If you didn't read the post on HMMs, I would highly encourage you to do so. For those of you who did not, I'll outline the problem. Let's say some guru came up to you and told you to pick a coin from a bag (there are only two coins in the bag) and flip the coin. You'll either observe a head or a tail.


Machine learning picks promising solar cell material

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More than 200,000 candidate materials were virtually screened by the system at Osaka University in Japan. The team of researchers then synthesized one of the most promising, and found its properties were consistent with the system's predictions. Machine learning allows computers to make predictions about complex situations, as long as the algorithms are supplied with sufficient example data. This is especially useful for complicated problems in material science such as designing molecules for organic solar cells, the researchers said, as it can depend on a vast array of factors and unknown molecular structures. It could take humans years to sift data to find underlying patterns, and even longer to test all the possible candidate combinations of'donor' polymers and'acceptor' molecules that make up organic solar cells.