popular artificial intelligence news
This week's popular Artificial Intelligence news: December 15, 2016
Its been a busy week for . Here is our round up of the most popular articles. Kuhn's book The Structure of Scientific Revolution outlined an episodic model in which periods of "normal science" were interrupted by periods of "revolutionary science". Kuhn challenges us to consider new paradigms and to change the rules of the game, our standards and our best practices.Artificial intelligence (AI) and machine learning (ML) liberatingly delivers this new paradigm, putting the science back into security.It's quite clear that relying on endpoint protection solutions that only… Tagged In Computer Security Artificial Intelligence Machine Learning Malware Data Mining Dam High Frequency Trading Scientific Revolution CEVA creates new value by enhancing IoT and machine learning applications Tagged In Smartphone Compound Annual Growth Rate Artificial Intelligence Bluetooth NASDAQ Soft Bank LTE (telecommunication) Integrated Circuit Data Compression Big Data Machine Learning Artificial Neural Network Computer Vision ARM Architecture Ericsson Wilderness Software Framework Embedded System Session Initiation Protocol 3GPP Zig Bee Digital Signal Processing To get the right data, we could look at two different kinds of inputs: Explicit and implicit. Explicit means asking the user to provide information by asking straightforward questions such as, How much do you want to spend?
This week's popular Artificial Intelligence news: September 8, 2016
The technology press is abuzz these days with stories about Machine Learning (ML) and Artificial Intelligence (AI) -- every other week it seems we're hearing about a new AI surpassing human ability at some task or other, and just as often we hear about exciting new start-ups revolutionizing traditional problem spaces using machine learning. We also see the odd notable AI failure every now and then. Artificial intelligence technology doesn't just have to solve grand challenges. Sometimes, it can tackle decidedly everyday problems -- like, say, improving a cucumber farm. Makoto Koike has built a cucumber sorter that uses Google's TensorFlow machine learning technology to save his farmer parents a lot of work.