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Future of AI Part 5: The Cutting Edge of AI

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Edmond de Belamy is a Generative Adversarial Network portrait painting constructed in 2018 by Paris-based arts-collective Obvious and sold for $432,500 in Southebys in October 2018.


Health Checks for Machine Learning - A Guide to Model Retraining and Evaluation

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In 2013, IBM and University of Texas Anderson Cancer Center developed an AI based Oncology Expert Advisor. According to IBM Watson, it analyzes patients medical records, summarizes and extracts information from vast medical literature, research to provide an assistive solution to Oncologists, thereby helping them make better decisions. According to an article on The Verge, the product demonstrated a series of poor recommendations. Like recommending a drug to a lady suffering from bleeding that would increase the bleeding. "A parrot with an internet connection" - were the words used to describe a modern AI based chat bot built by engineers at Microsoft in March 2016. 'Tay', a conversational twitter bot was designed to have'playful' conversations with users. It was supposed to learn from the conversations. It took literally 24 hours for twitter users to corrupt it.


Best Public Datasets for Machine Learning and Data Science

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Google Dataset Search: Similar to how Google Scholar works, Dataset Search lets you find datasets wherever they're hosted, whether it's a publisher's site, a digital library, or an author's web page. It's a phenomenal dataset finder, and it contains over 25 million datasets. Kaggle: A data science site that contains a variety of externally contributed to exciting datasets. You can find all kinds of niche datasets in its master list, from ramen ratings to basketball data to and even Seattle pet licenses. Although the data sets are user-contributed and thus have varying levels of cleanliness, the vast majority are clean.


Steve Jobs said Silicon Valley needs serendipity, but is it even possible in a Zoom world?

ZDNet

Late Apple co-founder and CEO Steve Jobs stressed the importance of serendipity in Silicon Valley, by which he meant chance, unplanned encounters in person between tech employees. His successor, Tim Cook, Monday held a virtual conference for developers in front of the empty seats of the Steve Jobs Theater on Apple's Cupertino campus. The late Steve Jobs told his biographer, Walter Isaacson, that when he commissioned the headquarters for the animated film studio Pixar, in East Bay, Jobs made sure it was an open structure, where everything converged on an atrium. Jobs believed, as Isaacson described it, that creativity is a result of serendipity. Serendipity, meaning, discoveries that happen as a result of chance encounters, is the exact term he used, and to Jobs, it meant in-person meetings.



Complete Machine Learning and Data Science: Zero to Mastery

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Created by Andrei Neagoie, Daniel Bourke Students also bought Machine Learning A-Z: Hands-On Python & R In Data Science Data Science A-Z: Real-Life Data Science Exercises Included Machine Learning, Data Science and Deep Learning with Python Statistics for Data Science and Business Analysis Data Science 2020: Complete Data Science & Machine Learning Preview this Udemy Course GET COUPON CODE Description This is a brand new Machine Learning and Data Science course just launched January 2020 and updated this month with the latest trends and skills! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 270,000 engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries).



Dozens of Zuckerberg-funded scientists attack Facebook over its stance on Trump posts

The Independent - Tech

Dozens of scientists funded by Mark Zuckerberg have protested against his decision to leave inflammatory Donald Trump posts on the site. Mr Zuckerberg is allowing the president to use the social network to "spread both misinformation and incendiary statements", the researchers warn. Scientists, including 60 professors at leading US research institutions, wrote to the Facebook boss asking Mr Zuckerberg to "consider stricter policies on misinformation and incendiary language that harms people," especially during the current turmoil over racial injustice. The letter calls the spread of "deliberate misinformation and divisive language" contrary to the researchers' goals of using technology to prevent and eradicate disease, improve childhood education and reform the criminal justice system. Their mission "is antithetical to some of the stances that Facebook has been taking, so we're encouraging them to be more on the side of truth and on the right side of history as we've said in the letter," said Debora Marks of Harvard Medical School, one of three professors who organised it.


Top 10 Data Science Experts to Follow on Twitter

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The application of artificial intelligence (AI) and machine learning to the business and IT, from intelligent IT operations (AIOps) to service management to software testing, is keeping the data revolution moving at lightning speed. That's why data science remains a popular concentration for computer science students who have the talent for math and analytics. And it's why more organizations are clamoring for data scientists who can help make decisions faster and put their businesses ahead of competitors. In today's age data science expertise with desirable knowledge in relatable fields is rare to find and therefore we have enlisted top 10 data science experts who you can follow in Twitter. Hilary is the Founder of Fast Forward Labs, a machine intelligence research company, and the Data Scientist in Residence at Accel.


TechDecoded Big Picture – Artificial Intelligence Cloud - Education Ecosystem

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Wei Li is vice president in the Software and Services Group and general manager of Machine Learning and Translation at Intel Corporation, responsible for several areas of software systems, including machine learning, binary translation, and emulation. His team works with industry and academia to enable the software ecosystem, and collaborates with Intel hardware teams designing future processor products. Since joining Intel in 1998, Wei has led teams that contributed to Intel data center, client/mobile, Internet of Things, and artificial intelligence businesses. He holds 11 U.S. patents, and has served as an associate editor for ACM Transactions on Programming Languages and Systems. Wei earned a Ph.D. in computer science from Cornell University, completed the Executive Accelerator Program at the Stanford Graduate School of Business, and he taught computer science at Stanford University.