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Source – https://www.analyticsinsight.net/ Analytics Insight elaborates all essential information you need to know about Artificial Intelligence Engineering Artificial Intelligence is the hottest disruptive technology in the tech-driven market around the world in the 21st century. It is making our lives more productive and smart by integrating machine learning algorithms into different products and services. The global Read More
Source – https://www.analyticsinsight.net/ At the time of Artificial Intelligence taking over the world rapidly, does engineering have any future? Back then engineering was all about blueprints, sketches, and physical models. But today it is intensively about software tools and computer designs. The demand for artificial intelligence and digital technology has been gaining momentum. Advancements in the AI sector are Read More
Source – https://assamtribune.com/ Dr Sandip Bordoloi, Associate Professor, Department of Electrical Engineering, GIMT, Guwahati. Electrical engineers work on a wide range of components, devices, machines, and systems, from tiny microchips to huge power station generators. Electrical systems, many a times, are so complex that they require expert systems to monitor and supervise them. Such supervisory systems Read More
Source – https://analyticsindiamag.com/ To be a modern-day engineer, being a domain-specific expert is just not enough. Data Science helps engineers to make better decisions at work and for organisations at large. Why Should Companies Be Wary Of Shadow Data? Every year, India produces over 1.5 million engineering graduates. These are disproportionately high numbers especially considering Read More
Source – https://aithority.com/ Data science interviews dropped by 15% in 2020 while data engineering interviews increased by 40% Data science used to be the sexiest job of the 21st century. Now, the pandemic has cooled it down dramatically. The growth slowed down in 2020 after previously growing by 80% year over year in a new study by Interview Query. Read More
Source – https://www.deccanchronicle.com/ Lack of awareness about benefits of new courses and no information on available job opportunities are causes for less preference VIJAYAWADA: Students and parents have preferred conventional engineering courses over emerging technologies. This is an aspect that has clearly emerged from the available trends of engineering seats being allotted in AP during the Read More
SOURCE:-siliconangle Microsoft Corp. today previewed a new Azure instance for training artificial intelligence models that targets the emerging class of advanced, ultra-large neural networks being pioneered by the likes of OpenAI. The instance, called the ND A100 v4, is being touted by Microsoft as its most powerful AI-optimized virtual machine to date. The ND A100 Read More
Source: miragenews.com The Center for Noise and Vibration Control at KAIST announced that their coughing detection camera recognizes where coughing happens, visualizing the locations. The resulting cough recognition camera can track and record information about the person who coughed, their location, and the number of coughs on a real-time basis. Professor Yong-Hwa Park from the Read More
Source: itproportal.com Automated machine learning (ML) sounds like the stuff of business leaders’ dreams. Take the question, ‘which customers should we focus our marketing budget on this year?’ ML can now deliver robust answers to these types of business questions even faster than before, through greater use of automation. Data in at one end, seriously Read More
Source: mdjonline.com Where is the fun in a pinball machine that can play itself? How about pancakes that can cook themselves? For students in Kennesaw State University’s Department of Mechatronic Engineering, the intrigue is less about the act and more about what goes on behind the scenes to make it possible. From a fully automated Read More
Source: towardsdatascience.com Software engineering has blown up to encompass more than 1million employees in the US as of 2018 and is not forecasted to slow in growth. Next to come is the machine learning engineer, who takes an automation or decision making problem and applies cutting edge tools to it. With the pervasive nature of machine learning (particularly deep Read More
Source: labmanager.com Researchers are developing machine learning tools to help them flip the design script and accelerate technology development. They’re not interested in the traditional, incremental, costly way of running experiments, collecting data and applying those answers to technology designs. They want to start with the answer—in this case better solar cells—and use machine learning Read More
Source:- phys.org Researchers, from biochemists to material scientists, have long relied on the rich variety of organic molecules to solve pressing challenges. Some molecules may be useful in treating diseases, others for lighting our digital displays, still others for pigments, paints, and plastics. The unique properties of each molecule are determined by its structure—that is, by Read More
Source:- dataconomy.com Why Understanding the Key Differences Between Data Science and Software Development Matters As Data Science becomes a critical value driver for organizations of all sizes, business leaders who depend on both Data Science and Software Development teams need to know how the two differ and how they should work together. Although there are lots Read More
