As data proliferates in organizations, there is an increasing need to understand its implications through the generation of insights. Insight generation through business intelligence and analytics has been available for almost half a century, but it typically required the help of trained analysts. The insights needed by decision-makers within an organization were constrained by the number of analysts, and without easy access to analytics, these analysts were often forced to rely on experience and intuition. To make matters worse, difficult-to-use technologies made it challenging for most business people to find and analyze the data they needed to generate insights. Over the past several decades, multiple technologies have been used to democratize the creation of insights, including interactive statistical packages, spreadsheets, easy-to-use visual analytics tools, and the like. But we don't think they are enough for today's complex technology and data environment.

The next iteration of a floating, artificially intelligent astronaut assistant is on its way to the International Space Station (ISS). Developed by Airbus in partnership with IBM and the German Aerospace Center, CIMON 2 is the latest model of the robot CIMON, short for Crew Interactive Mobile Companion. The first iteration, CIMON 1, weighed eleven pounds and served as a free-floating AI assistant for astronauts as they completed mission duties in space. The assistant was able to understand what the astronauts were saying in context, as well as the intention behind it. Like tabletop assistants, CIMON 1 could recognize speech and speak with a synthetic voice.

For nearly three decades, IBM has partnered with the United States Tennis Association (USTA) to bring this prestigious sporting event to life for millions of fans, players, coaches, and even the media. This year players from Roger Federer to Serena Williams, along with their coaches, will be utilising IBM AI-powered tools to sharpen their game plan and skill. Better still, IBM Watson is also reinventing how fans experience the US Open, taking it far beyond simply reporting the very latest Novak Djokovic news. Watson Virtual Assistant will help the hundreds of thousands of fans visiting the tournament to successfully navigate everything from maps to dining options, along with making the US Open Schedule seem so much less daunting. IBM Watson's AI capacity enables it to see, hear, and understand the most exciting moments recorded on video.

A new CIMON for the International Space Station (ISS): CIMON-2 (Crew Interactive MObile companioN) lifted off on its journey into space on 5 December 2019. This modified version of the astronaut assistant has been equipped for new tasks and was developed and built in Germany. Like its predecessor, CIMON-2 will be deployed in the Columbus European research module. CIMON is a free-flying, spherical technology demonstrator for human-machine interaction and features artificial intelligence. "CIMON-1 – our prototype – landed back on Earth on 27 August 2019 after spending 14 months on the ISS, and has now arrived at Airbus in Friedrichshafen," says Dr Christian Karrasch, CIMON Project Manager at the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) Space Administration in Bonn.

A new informative report on the global Artificial Intelligence for Edge Devices Market titled as, Artificial Intelligence for Edge Devices has recently published by Contrive Market Research to its humongous database which helps to shape the future of the businesses by making well-informed business decisions. It offers a comprehensive analysis of various business aspects such as global market trends, recent technological advancements, market shares, size, and new innovations. Furthermore, this analytical data has been compiled through data exploratory techniques such as primary and secondary research. Moreover, an expert team of researchers throws light on various static as well as dynamic aspects of the global Artificial Intelligence for Edge Devices Market. Different leading key players have been profiled to get better insights into the businesses. It offers detailed elaboration on different top-level industries which are functioning in global regions.

CVML Live Web Lecture Series Concept Artificial Intelligence and Information analysis (AIIA) Lab, AUTH is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Top scientists internationally will deliver these lectures, aiming at providing in-depth knowledge on various CVML topics. The 1-hour lectures will take place on Saturdays, to avoid conflicts with other intended registrant schedules/duties: a) Saturdays 11:00 EET (17:00 Beijing time) and b) Saturdays 20:00 EET (13:00 EST, 10:00 PST for NY/LA, respectively) for audience in the Americas. Each lecture will be announced at least 1 week in advance in various relevant email lists and in this page. Lectures will consist primarily of live lecture streaming and PPT slides.

New centre aspires to be an international think-tank that promotes inter-disciplinary research into the interactions between technology and the law. The new Centre for Technology, Robotics, Artificial Intelligence & the Law (TRAIL), a research unit under the National University of Singapore Faculty of Law (NUS Law), was launched today by Mr Edwin Tong, Senior Minister of State for Law and Health, at the 8th Asian Privacy Scholars Network (APSN) Conference. Leveraging NUS Law's preeminent position amongst the top law schools in the world, TRAIL aspires to be an international think-tank that enables inter-disciplinary communities to research into legal, ethical, policy, philosophical and regulatory questions associated with the use and development of information technology (IT), artificial intelligence (AI), data analytics and robotics in the practice of law. The Centre plans to conduct research into the interactions between technology and the law in a more integrated and holistic manner. TRAIL also aims to provide a forum for legal and non-legal scholars interested in various aspects of technology law, to collaborate and advance inter-disciplinary research.

Russian researchers have developed new artificial intelligence (AI) capable of reading a person's brain activity in real time and simultaneously visualise it in the form of an image. Their research could be the first step towards the development of a real-time brain-computer interface. The discovery could lead to the development of new non-invasive methods for post-stroke rehabilitation. Researchers from the Moscow Institute of Physics and Technology (MIPT) in Russia have developed artificial intelligence capable of reading a person's neural activity in real time, as reported by the website Developpez.com. The work was conducted in collaboration with the Russian company Neurobotics, which specialises in the design of algorithms based on brain activity.

Over the years, artificial intelligence has amazed everyone with numerous breakthroughs, and this year it was no different. The whole year, we witnessed awe-inspiring innovations in reinforcement learning, neural networks, among others. Tech companies from across the world benchmarked various leaps in artificial intelligence to further eliminated the doubts people had about achieving true AI. As a chronicler of the technological progress in the space of analytics, artificial intelligence, data science and big data, among others, Analytics India Magazine was on top of every jaw-dropping development. We bring to you the top 7 amazing AI advancements that changed the world forever.

In this longish post, I have tried to explain Deep Learning starting from familiar ideas like machine learning. This approach forms a part of my forthcoming book. You can connect with me on Linkedin to know more about the book. I have used this approach in my teaching. It is based on'learning by exception,' i.e. understanding one concept and it's limitations and then understanding how the subsequent concept overcomes that limitation. We thus develop a chain of thought that starts with linear regression and extends to multilayer perceptron (Deep Learning).