Due to the COVID19 situation, many organizations around the world are focusing on automation to become pace up and become more agile in the face of increased demand and rapidly changing environment. From managing high volumes of testing results to supporting the increased need in call centers to preparing and enabling a remote workforce, organizations are realizing the benefits of automating right now. The robotic process automation (RPA) will thrive in the current market. More and more enterprises will adopt this technology in a bid to enhance their growth. In every industry, automation and technology are inevitable.

NEW YORK, NY / ACCESSWIRE / May 13, 2020 /Over the past decade, machine learning, particularly deep learning methods based on artificial neural networks, has made a number of remarkable advances that have improved our ability to build more accurate systems in a wide range of fields, including computer vision, speech recognition, language translation, and natural language understanding tasks.Today, with the emergence of GPU, FPGA, XPU and other AI computing servers, the computing power of AI has been greatly improved, and the selection of algorithm framework has become an important factor to optimize the computing efficiency of AI. At the same time, due to the development of AI computing system from single-machine single-card to single-machine multi-card, and then to multi-machine multi-card parallel computing, data centers need to simultaneously manage a large number of AI computing servers to support applications. How to better manage and monitor will also affect the output efficiency and operation cost of AI application.Machine learning, particularly deep learning, is driving the development of artificial intelligence (AI). The need for more efficient hardware acceleration of AI/ML/DL is recognized in academia and industry. This year, we've seen a growing number of players, including some of the world's top semiconductor …

People weren't just searching, they were buying too--and in bulk. The majority of people looking for masks ended up buying the new Amazon #1 Best Seller, "Face Mask, Pack of 50". When covid-19 hit, we started buying things we'd never bought before. The shift was sudden: the mainstays of Amazon's top ten--phone cases, phone chargers, Lego--were knocked off the charts in just a few days. Nozzle, a London-based consultancy specializing in algorithmic advertising for Amazon sellers, captured the rapid change in this simple graph.

For this edition of My Journey In Data Science column, Analytics India Magazine got in touch with a data scientist, influencer and blogger. Rahul Agrawal, Data Scientist at Walmart Labs, shared his exciting journey in data science, and also offered advice on best practices for aspirants to thrive in the ever-changing data science landscape. Rahul is a mechanical engineer from IIT Delhi, who started his job in a steel company in 2010, but quit the job since it was not interesting enough. Then he joined Fractal Analytics in 2011 as a business analyst. "Initially, I wrote a lot of SQL and made dashboards – most of the work revolved around reporting. And it was not a love-at-first-sight for me," says Rahul.

AI is seen as one of the first lines of defence in a pandemic. Given the current situation with COVID-19, hospitals and healthcare facilities are using AI to help screen and triage patients and identify those most likely to develop severe symptoms. The use of data and analytics is also helpful to track and contain diseases. As the Global Government Practice lead, Steve Bennett is helping governments around the world put their data to work for the citizens they serve. In his current role, he drives strategic industry positioning and messaging in global government markets.

With the world spinning faster every day and delivering an insane amount of news and information to process, the temptation to cherry-pick content to consume increases. Powering summarization with AI tools is among the news we're covering in this edition of AI Monthly Digest. Other stories include the proof of deep learning supremacy in the world of board games, biased machines and what comes after Atari and board games. A research team from the Allen Institute for Artificial Intelligence and the University of Washington has created a scientific summarization engine. The key goal was to check if an AI-based solution could shorten a text and capture the most essential information from a scientific paper.

Exponent is a leading engineering and scientific consulting firm. Our multidisciplinary team of scientists, engineers, physicians, and regulatory consultants brings together more than 90 different disciplines to solve complicated problems facing corporations, insurers, government entities, associations and individuals. Our approximately 900 staff members work in 26 offices across the United States and abroad. Exponent has over 700 consultants, including more than 425 that have earned a doctorate in their chosen field of specialization. Exponent's Statistical & Data Sciences Practice is currently hiring a Scientist with expertise in Machine Learning, Data Analytics, and Software Development.

Quizlet, a global learning platform with artificial intelligence (AI) powered study tools, has raised $30 million in a Series C funding round led by growth equity firm General Atlantic. The proceedings from the funding round are expected to help in driving Quizlet's continued product innovation with a focus on data science and machine learning capabilities. Apart from that, the capital will also be used by the learning platform towards its strategic expansion opportunities that are in line with its objective to help people practice and master whatever they wish to learn. Quizlet is said to enable learners to create, share, and consume high-quality user-generated content. The learning platform is said to serve a diverse userbase across geographies and stages of education.

Exceptional times require exceptional solutions. Due to the current lockdown, the IEAI has decided to hold its May Speaker Series with Prof. Dr. Joanna Bryson virtually via Zoom. With its Speaker Series, the TUM Institute for Ethics in Artificial Intelligence is inviting experts from all over the world to talk about ethics and governance of AI. These events serve as an important platform for sharing new research and exchanging knowledge. The May session of the TUM IEAI Speaker Series will take place on 14 May 2020, 10am (CEST), virtually via Zoom.

N Like many employees around the world, research scientists at DFKI left the buildings in mid-March to begin working remotely. Re- search is still innovative even from your own home and project work has continued in a focused manner. After all, knowledge workers focus on knowledge and work, not on offices and buildings. The realm of ideas is found in the person: the brain also thinks when the person is at home, and it goes without saying that no one misses the commute to work or the search for a parking spot. Shockingly, a pandemic was necessary before many companies de- cided to seize the opportunities of digitalization consistently across the board and to explain the benefits of distributed work to every- one.