Heart Disease AI 02.20.18

Scanning Retinas for Heart Disease with AI Prediction

Researchers have devised a deep-learning algorithm that uses AI prediction techniques to forecast cardiovascular risk based on scans of patients’ retinas. A team of researchers from Google, Verily Life Sciences and the Stanford School of Medicine trained their deep-learning algorithm using data from 284,335 patients. The algorithms were able to predict cardiovascular (CV) issues with…

02.20.18

Introducing Classificationbox: Easily build your own text/image/data machine learning classifier inside a Docker container

We have just released Classificationbox as a Developer Preview. Classificationbox is a general purpose machine learning classification utility designed and built for scale. Classificationbox lets you use machine learning to automatically classify various types of data, such as text, images, structured and unstructured data With a relatively small set of training data, you can build a model…

AI for Sign Language 02.16.18

Startup Devises Translation Solution for Sign Language

It seems that every new day brings a new advancement in AI translation technology, with algorithms continually adding support for new languages or enhancing the accuracy of their interpretations. However, all these advancements have one thing in common: They are limited to interpreting spoken tongues. However, one startup is bringing AI translation to the realm…

Entercom AI 02.8.18

Veritone and Entercom Announce Agreement to Maximize Broadcaster’s Distribution and Reach with Artificial Intelligence

Entercom to Leverage Veritone Platform for Content-Based Data and Insights Veritone®, Inc. (NASDAQ: VERI), a leading provider of artificial intelligence (AI) and cognitive solutions, today announced that Entercom, a leading American media and entertainment company and one of the two largest radio broadcasters in the U.S., has selected Veritone as a premier technology partner. This…

AI Chips 02.7.18

Massive Opportunity for AI Chips

After years of focusing on software development and investments, the technology industry has rediscovered the value of semiconductors as it recognizes the critical role AI chips are playing in the burgeoning market for artificial intelligence solutions. Artificial intelligence hardware—specifically AI chips like graphics processing units (GPUs) and application-specific integrated circuits (ASICs)—are essential to processing any…

02.3.18

How to use Machine Learning to solve Personalized Recommendations in Go

Personalization and recommendations are great for everybody—they can cut down the noise and take users right to the stories, articles, or products that they are most interested in. Building a recommendation engine from scratch is a daunting task—most wouldn’t even know where to start—but I wanted to show how easy this problem was to solve…

VW Microbus 02.2.18

VW Resurrects Iconic Microbus with Facial Recognition

When the hippies of the 1960s embarked on a journey to change the world, their vehicle of choice was Volkswagen’s Microbus van. Today, VW is resurrecting the Microbus in a new bid to overturn the status quo, using Nvidia AI technology to reshape the automobile. Together, VW and Nvidia plan to develop the I.D. Buzz,…

Flu AI 02.2.18

Using Machine-Learning Prediction to Forecast the Flu Season

Just as you depend on your local weatherman to tell you whether you need to bring an umbrella to work, medical professionals rely on influenza forecasts to predict the severity of the flu season and plan accordingly. However, these flu predictions are notoriously inaccurate and vague, making it difficult to effectively prepare, allocate resources and…