Political polarization is ripping America apart. References to a second American civil war – no matter how far-fetched – reveal a bitterly divided nation. Indeed, the Founding Fathers' worst nightmare is coming to pass. For all of its promise, technology bears much of the blame for fracturing America. For one, social media platforms create powerful "echo chambers" that feed us a nonstop diet of one-sided, hyper-partisan news and commentary.

Wharton Online's newest program based on best-selling book "A Human's Guide to Machine Intelligence" Artificial intelligence (AI) is embedded in nearly every aspect of daily life, from entertainment (e.g. To address the risks, opportunities and challenges of implementing artificial intelligence into business practice, the Wharton School of the University of Pennsylvania is pleased to announce a new online program: Artificial Intelligence for Business. This four-week program, Wharton's first public offering to address AI, can help working professionals successfully navigate today's technological changes so they can create the innovations of tomorrow. Based on the best-selling book, A Human's Guide to Machine Intelligence, by acclaimed Wharton professor Kartik Hosanagar, the Artificial Intelligence for Business program is designed to provide learners with insights into both established and emerging developments in AI, Big Data, Machine Learning, and the operational changes AI will bring. The lessons within this course are applicable to multiple industries and dynamic markets.

Publications, citations, conference papers, awards, patents and investment are all indicators of innovation in a given field. While there is no perfect measure, we chose the peer-reviewed publications in AI journals as a compromise between history of data, completeness, reliability and coherence. This video shows the trends of artificial intelligence innovation worldwide by country based on this measure, from the AI Index report 2019. Artificial intelligence, machine learning and deep learning in particular are transforming all industries enabling people to perform tasks better and faster, make better decisions, optimizing processes, or automating tasks among others. With the fast growth in compute power and data availability, complex algorithms can learn and extract information from huge amounts of data - big data - that humans cannot.

Logistics and supply chain management is one such industry that plays an important role in our day-to-day lives. It helps us in getting our couriers, baggage, shipments, etc. delivered on time. Logistics and supply chain management not only help us indirect ways, but it also plays crucial roles in indirect ways. Right from the delivery of fuel to petrol bunks to supply of industrial equipment, fruits vegetables, and daily necessities, the supply chain makes its mark in our lives in multiple ways. Thus, it has turned out to be an everyday part of our lives.

The European Union unveiled proposals Wednesday to regulate artificial intelligence that call for strict rules and safeguards on risky applications of the rapidly developing technology. The report is part of the bloc's wider digital strategy aimed at maintaining its position as the global pacesetter on technological standards. Big technology companies seeking to tap Europe's vast and lucrative market, including those from the U.S. and China, would have to play by any new rules that come into force. The EU's Executive Commission said that it wants to develop a "framework for trustworthy artificial intelligence." European Commission President Ursula von der Leyen had ordered her top deputies to come up with a coordinated European approach to artificial intelligence and data strategy 100 days after she took office in December. "We will be particularly careful where essential human rights and interests are at stake," von der Leyen told reporters in Brussels.

In the past, KDnuggets has covered collections of key terms, including those for machine learning, deep learning, big data, natural language processing, and more. As we get into a new year, and as we have not published any collections of key terms in the recent past, we thought it would be a good idea to highlight some AI, data science, and machine learning terms that we should all now be familiar with in the constantly evolving landscape. As such, these terms are a combination of some more recently-emerging concepts, as well as existing concepts which may be of perceived increased importance of late. The definitions for these are a combined effort from the KDnuggets team, including Gregory Piatetsky, Asel Mendis, Matthew Dearing, and myself, Matthew Mayo. And so without any further ado, here are the first 10 terms you need to know, with the second 10 coming next week, giving us a total of 20 terms to know for 2020. Automated machine learning (AutoML) spans the fairly wide chasm of tasks which could reasonably be thought of as being included within a machine learning pipeline.

Samsung users have been left "creeped out" after receiving strange notifications. Galaxy phone users worldwide were hit with the notification, which read only: "1". The issue appears to have been caused by a bug, or a test within Samsung's system. But the unusual wording and the app that sent it led many to panic and worry their phone had been compromised. "Anyone else get that find my mobile push notification that just about gave me a heart attack?"

The BJP used artificial intelligence technology to create two deepfake videos of party leader Manoj Tiwari, in which he has been morphed realistically to show him speaking in two languages to appeal to different voter groups ahead of the Delhi assembly election earlier this month. Deepfake uses AI (artificial intelligence) to create morphed videos that seem real; it can even put words in the mouth of an another person. NDTV is one of the leaders in the production and broadcasting of un-biased and comprehensive news and entertainment programmes in India and abroad. NDTV delivers reliable information across all platforms: TV, Internet and Mobile. Follow us on Twitter: https://twitter.com/ndtv

"If implemented, the European Commission's data strategy will be an important step to boost Europe's competitiveness in the data economy whilst safeguarding privacy rules. Data is power, drives innovation and fuels AI solutions. However, Europe has fallen behind the US and China when it comes to the development and adoption of new technologies including AI.

This is usually as true for the delivery of software as it is for anything else, but mounting pressure to digitally transform and continuously deliver updates has made speed a default requirement for most organisations. This leaves a choice between quality and cost, which often comes down to a decision about testing. Testing--especially unit testing--has been an underappreciated stage in the software delivery lifecycle (SDLC) for decades. It's historically been slow, resource-intensive, and less interesting than the development of new features, which may be why the primary motivation to write unit tests for many developers is external pressures, e.g. Within organisations that enforce code coverage targets, mandated manual testing can feel a lot like being told to eat your vegetables because they're good for you.