This week we look at how he world’s best poker players are getting crushed by AI, why Apple joined the Partnership on AI, and how an algorithm is diagnosing skin cancer as accurate as dermatologists.
In our introduction to saliency detection post, we showed how to harness the power of the human brain using a saliency algorithm to detect the most distinct and noticeable objects in an image.
Whenever we look at a photo or watch a video, we always notice certain things over others. This could be a person’s face, or a sports car, or even a symbol that is located in the corner of a video.
This week we look at the 40% drop in car crashes using Tesla’s Autopilot, why Microsoft is investing into Montreal AI research, check out some algorithms IRL, and building neural networks in Python.
Sentiment Analysis is the use of natural language processing, statistics, and text analysis to extract, and identify the sentiment of text into positive, negative, or neutral categories. We often see sentiment analysis used to arrive at a binary decision: somebody is either for or against something, users like or dislike something, or the product is good or bad.
This week we look at the OpenAI + DeepDrive project that helps developers train self-driving car AI’s using Grand Theft Auto V. Plus, CB Insights releases their AI 100 landscape. Read More…
With over 317 million active users a month, Twitter has become a wealth of data for those trying to understand how people feel about brands, topics, and more. Mining Twitter data for insights is one of the most common natural language processing tasks.
We’re excited to announce that Algorithmia has been selected as a CB Insights AI 100 company. This prestigious list is comprised of a select group of the 100 most promising companies breaking ground on artificial intelligence algorithms and technology.
And now back to our regularly scheduled programming… In the last issue of 2016, we looked at self-driving cars, Zuckerberg’s AI assistant, and what’s new with IoT, drones, and chat bots.
This week, we recap the year in artificial intelligence before looking ahead to what 2017 holds for AI, data science, and the shape of things to come.
Plus, we check out the latest White House report on Artificial Intelligence, Automation, and the Economy. Read More…