This week we look at what it means to stay relevant in the AI age, how you can make your own image “enhance” button like on CSI Miami, what we’re reading this week and things to try at home!
This week we look at Google’s real-time parking predictions, the largest dataset of annotated YouTube videos, and how Facebook is improving image search using deep learning.
Plus! What we’re reading this week and things to try at home!
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.
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…
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…
In the last issue of Emergent // Future for 2016, we look at Uber’s self-driving cars in San Francisco, Google’s new autonomous car company, how Mark Zuckerberg built an AI assistant for himself, what Amazon, Google, and Microsoft are up to.
This week we look at AMD’s effort to take on NVIDIA in the high performance computing space, recap what happened at NIPS2016, and highlight the best things to read that explore technology through the lens of artificial intelligence, data science, and the shape of things to come.