Category Archives: AI
Deep Learning Software Revenues to Reach $35 Billion in 2025
Tractica: Top 10 use cases for deep learning, in terms of revenue, will be as follows: Static image recognition, classification, and tagging Machine/vehicular object detection/identification/avoidance Patient data processing Algorithmic trading strategy performance improvement Converting paperwork into digital data Medical image … Continue reading
Progress in AI and its Future Development
A.T. Kearney: AI has achieved recent performance breakthroughs across numerous cognitive applications (Figure 7), from image classification to pattern recognition and ontological reasoning. This progress is due largely to convergent advances across three enablers: computing power, training data and learning … Continue reading
Big Data Landscape 2017: Big Data + AI = New IT Stack
Matt Turck: We’re witnessing the emergence of a new stack, where Big Data technologies are used to handle core data engineering challenges, and machine learning is used to extract value from the data (in the form of analytical insights, or … Continue reading
AI Perspectives from Amazon, Salesforce, Google and Leading Roboticists
The 11th annual MIT Tech Conference, a student-led event organized by the MIT Sloan Tech Club, had “exponential technologies” as its theme this year. Here’s what I learned from the event’s morning sessions which covered artificial intelligence, robotics, quantum computing, … Continue reading
Will Google Own AI? (2)
According to the tally Google provided to MIT Technology Review, it published 218 journal or conference papers on machine learning in 2016, nearly twice as many as it did two years ago… Compared to all companies that publish prolifically on … Continue reading