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NFL and AWS Launch AI Challenge to Crowdsource Ways to Automate Player Identification using NFL Game Footage

The National Football League (NFL) and Amazon Web Services (AWS) launched a new artificial intelligence Kaggle challenge to create ways for computers to automatically identify players using NFL game footage. New computer vision models created through the challenge will accelerate the NFL’s work with AWS to better understand, and aim to reduce, injuries in the NFL. Prize money totaling $100,000 will be awarded to data scientists with winning models.

Yandex Finds Better Way to Train ML Models Over the Internet

A new proposal from tech giant Yandex overcomes a major hurdle in the advancement of machine learning by bringing the process to the masses, so that anyone with a home computer can help train a large neural network.

Navigating Driver Privacy and Safety of Electric Vehicles, Self-Driving Vehicles

A growing number of connected electric vehicles, as well as the evolution of self driving and automated vehicles are putting a greater demand on processing power. New technologies are advancing rapidly with the introduction of new processing methods, according to experts at BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low power high performance artificial intelligence technology.

Cambridge Quantum Algorithm Solves Optimization Problems Significantly Faster, Outperforming Existing Quantum Methods

In a development that is likely to set a new industry standard, scientists at Cambridge Quantum (CQ) have developed a new algorithm for solving combinatorial optimization problems that are widespread in business and industry, such as traveling salesman, vehicle routing or job shop scheduling, using near-term quantum computers.

Video Highlights: FeatureTerminatoR Package for R

FeatureTerminatoR is an R package to remove unimportant variables from statistical and machine learning models automatically. The motivation for this package is simple, while there are many packages that do similar things, few of them perform automated removal of the features from your models. The author provides the video presentation below to help get you familiar with how the package works.

Global Data Science Competition Gathered Brilliant Minds to Solve Social Problems

For over two months, 50 teams representing 34 nationalities competed for a spot in the top ten of the World Data League (WDL) – a quest to find long-lasting solutions for social-oriented problems using data.

Video Highlights: A Path Into Data Science

Are you interested in getting ahead in data science? On this TalkPython podcast episode, you’ll meet Sanyam Bhutani who studied computer science but found his education didn’t prepare him for getting a data science-focused job. That’s where he started his own path of self-education and advancement. Now he’s working at an AI startup and ranking high on Kaggle.

eBook: How to Use Third-party Data to Make Smarter Decisions

Your business is reliant on data. The insights gained by using third-party data to complement your internal data can help you make smarter decisions when used with your internal data. At AWS Data Exchange can accelerate that capability. To help, we put together an eBook of our technical blogs that focus on using data from third-party providers to make informed decisions faster.

Understanding “Human Intent and Behavior” with Computer Vision

In this contributed article, editorial consultant Jelani Harper discusses how computer vision is one of the most eminent forms of statistical Artificial Intelligence in use today. Comprised of varying facets of object detection, facial recognition, image classification, and other techniques, it supports a range of pressing use cases from contact-less shopping to video surveillance.

Video Highlights: Business Analyst or Data Scientist? What Field to Choose If you Want to Launch a Startup in Future

This Data Science Salon (DSS) video is presented by Julia Khan, Vice President of Analytics at SEMrush. This presentation will be most useful for young data professionals, who are trying to choose their own path within the wide range of specializations inside the data science field.