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Hands-On Machine Learning on Google Cloud Platform: Implementing smart and efficient analytics using Cloud ML Engine: Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier: 9781788393485: Amazon.com: Books


Alexis Perrier is a data science consultant with a background in signal processing and stochastic algorithms. A former Parisian, Alexis is now actively involved in the D.C. data science community as an instructor, blogger, and presenter. Alexis is also an avid jazz and classical music fan, a book lover and proud owner of a real chalk blackboard on which he regularly tries to share his fascination with mathematical equations with his 3 children. He holds a Master in Mathematics from Université Pierre et Marie Curie Paris VI, a Ph.D. in Signal Processing from Telecom ParisTech and currently resides in Washington D.C. Giuseppe Ciaburro holds a PhD in environmental technical physics and two master's degrees. His research was focused on machine learning applications in the study of the urban sound environments.

This app is going to help the NBA find the next Giannis Antetokounmpo


On Friday at the NBA All-Star Tech Summit, the league unveiled NBA Global Scout, a mobile, AI-powered app that allows players from India to Indiana, China to Chi-town, Senegal to San Diego to record their measurements--such as wingspan, height, vertical leap, and agility--then build and show off their skills through development drills created to help NBA scouts evaluate their on-court proficiencies. NBA chief innovation officer Amy Brooks says this is a tool to help democratize the process of trying to be an elite basketball player. "We see the possibilities here as essentially creating the LinkedIn for elite basketball," says Brooks. "In the short term, it starts with profile and anthropometric and agility metrics. In the long term, there's even more possibilities when it comes to game video from players, tracking data, highlights, and more, just aggregated profiles of complete basketball players. Scouting is resource-intensive, and it will be fantastic both for the NBA and elite players globally to make the discovery process more seamless using technology."

Tech-starved U.S. government seeks industry's best and brightest

The Japan Times

DENVER – In this post-impeachment era of divisiveness and deadlock in the nation's capital, Uncle Sam has a message for top U.S. technologists: A Washington-based nerd strike force called the U.S. Digital Service is seeking private-sector coders, programmers and software engineers to make government user-friendly for a tech-savvy U.S. public. Launched after the 2013 crash of the Obama administration's Healthcare.gov website, the USDS recruits the nation's top tech talent for Peace Corps-style tours of duty to tackle the government's most pressing information management and online security problems. It has an increasingly rare distinction as an initiative supported by both the Obama and Trump administrations, according to current and former USDS staff and White House officials. "We've been enthusiastic about USDS since Day One," said Mathew Lira, a special assistant to Trump in the White House Office of American Innovation. Early USDS projects -- fixing the public-facing website of Obama's Affordable Care Act, helping green card holders apply for renewals electronically -- might not be top Trump administration priorities today.

AI for Engineers - ODSC East Open Data Science Conference April 13-17


Dr. Nagdev Amruthnath currently works as Data Scientist III at DENSO North America. He has earned his Ph.D. and Master's in Industrial Engineering Department, Western Michigan University (WMU), and a Bachelor's degree in Information Science and Engineering from Visvesvaraya Institute of Technology, Karnataka, India. He has four years of experience working in the manufacturing industry, specializing in the implementation of lean manufacturing, JIT technologies, and production system, three years of full-stack data science experience in manufacturing and undergraduate and graduate teaching experience. He has also authored in journal and conference proceeding publications in production flow analysis, ergonomics, machine learning, and wireless sensor networks. Currently, his research focus is on developing new machine learning models and AI technologies for manufacturing applications.

Tech Debates Chicago - FinTech Event Feb. 25, 2020 Sphere Software


Financial services institutions are capitalizing on digital transformation to enhance the efficiency of existing systems, and provide competitive conveniences for customers. However, adoption of disruptive and emerging technologies is not a seamless transition. Institutions must undergo structural reforms across internal and external processes and systems, while remaining compliant with changing regulations and customer demands. In this session, attendees will learn how a panel of seasoned technology executives are driving the financial industry forward with digital transformation. Attendees will learn: • How emerging technologies such as AI, machine learning and blockchain are transforming financial institutions.

Why this ASX artificial intelligence share rocketed 25% higher today // Motley Fool Australia


One of the best performers on the ASX on Monday was the BrainChip Holdings Ltd (ASX: BRN) share price. The artificial intelligence company's shares rocketed 25% higher to 6.9 cents at one stage before closing the day 14.5% higher. Investors were buying the company's shares after it announced the receipt of an EAR99 classification for its Akida Neuromorphic System-on-Chip (NSoC), Akida Software Development Environment (ADE), and related technologies from the U.S. Government. The Export Administration Regulations (EAR) classification of EAR99, which BrainChip has now formally received, removes the barriers for exporting Akida to non-U.S. The EAR99 designation means the company does not require a pre-approval, or a license from the U.S. Department of Commerce, before delivering its solutions globally as part of sales and market expansion activities.

Spark AI Summit Reveals 2020 Keynote Speakers and Expanded Training - Databricks


SAN FRANCISCO–(BUSINESS WIRE)–Databricks, the leader in unified data analytics, today announced keynote speakers alongside expanded technical content and training at Spark AI Summit which is taking place June 22 – 25 in San Francisco. To support continuous innovation and expansion of the conference content, Spark AI Summit welcomes Ben Lorica as the Program Chair. Spark AI Summit is the largest data and machine learning conference bringing together engineers, scientists, developers, analysts and leaders from around the world. "Over four days we'll gather the greatest minds in our industry to shape the future of big data, analytics and AI and share knowledge through training, over 180 talks and networking events. Spark AI Summit has become the destination for data teams to collaborate on solutions to solve the world's toughest problems," said Ali Ghodsi, cofounder and CEO at Databricks.

Self-Driving Cars as Edge Computing Devices


Sign in to report inappropriate content. Video with transcript included: http://bit.ly/37yYBaD Matt Ranney explains the architecture of Uber ATG's self-driving cars and takes a look at how the software is developed, tested, and deployed. This presentation was recorded at QCon San Francisco 2019: http://bit.ly/38sivWf The next QCon is QCon London 2020 – March 2-4, 2020: http://bit.ly/2VfRldq

The Rise of AI techsocialnetwork


Arguably, Artificial intelligence or AI debuted at a conference at Dartmouth University in 1956. At the time, there was a lot of optimism. Some people at the conference believed robots and AI machines would be doing the work of humans by the mid-1970s. Of course, that didn't happen -- what happened instead was that funding dried up and a period called "The AI Winter" began. That ostensibly lasted into the 2000s, when IBM's Watson peaked a lot of interest in artificial intelligence again.

The 84 biggest flops, fails, and dead dreams of the decade in tech


The world never changes quite the way you expect. But at The Verge, we've had a front-row seat while technology has permeated every aspect of our lives over the past decade. Some of the resulting moments -- and gadgets -- arguably defined the decade and the world we live in now. But others we ate up with popcorn in hand, marveling at just how incredibly hard they flopped. This is the decade we learned that crowdfunded gadgets can be utter disasters, even if they don't outright steal your hard-earned cash. It's the decade of wearables, tablets, drones and burning batteries, and of ridiculous valuations for companies that were really good at hiding how little they actually had to offer. Here are 84 things that died hard, often hilariously, to bring us where we are today. Everyone was confused by Google's Nexus Q when it debuted in 2012, including The Verge -- which is probably why the bowling ball of a media streamer crashed and burned before it even came to market.