Artificial Intelligence (AI) has revolutionized the field of computer vision. Computers can now better classify, identify, and analyze image data more effectively than has ever been possible before. How did this happen?

Human Vision vs Computer Vision

Computer Vision technology is largely built upon the example that we see in the natural world. Your camera acts as an eye, and it captures images to be processed on a computer.

CV technology got its start In the late 1950s. Hubel and Wiesel carried out research on the visual perception of a cat. …

Natural Language Processing is a subfield of artificial intelligence and computer science that involves the interaction between computers and humans using human languages. The objective of NLP is to extract meaning and understanding from the content of human communication in text and speech. Oftentimes, NLP is used to automate processes based on what a person has said. NLP technologies are being used to answer questions, generate text and summarize text automatically. NLP has a significant number of business applications, in part because huge amounts of human language data can be processed in a small amount of time.

The concept of…

What do we mean when we say AI?

The fact is that intelligence is difficult to define, and artificial intelligence encompasses many different technologies and approaches. But in the broadest sense, AI is the capability of machines to simulate human intelligence — to think and act the way that humans do.

However, human intelligence is so much more than just thinking and acting. Learning is a huge part of it. This means that for any artificial intelligence to be considered “true” AI, it also needs to be able to learn. After that, it needs to apply what it has learned (by generalizing the knowledge) to solve new problems…

By Matthew Zeiler

Clarifai is excited to announce that Major General Barbara Fast, U.S. Army, Ret. has joined the company as senior advisor and member of its Public Sector Advisory Council.

Major General Barbara Fast, U.S. Army, Ret., is known for her military and commercial leadership while trailblazing new understandings of military intelligence. Her deep expertise in intelligence and cybersecurity, combined with over a decade leading federal defense businesses for commercial companies like Boeing and CGI, makes Her uniquely suited to support the U.S. …

By Jeff Toffoli

Spring is here and we are introducing important new features and improvements with Clarifai Release 7.4. Clarifai is democratizing AI and giving developers access to tools that can accelerate AI solutions at unprecedented speeds. We are adding new models, workflows and platform functionality that reduces the complexity of deploying AI solutions in the real world.

Learning from examples is better than creating “rules”

Let’s start with some good news. Just about every aspect of Computer Vision is getting better with Machine Learning vs. the old “rule-based” approach, where researchers were crafting equations by hand. Images are more easily classified, objects are quickly detected, poses are accurately estimated, and faces are recognized. Not only are the end results better, but the path to getting these results is predictable and repeatable -good news for anyone trying to incorporate this technology into their business.

Once a problem has been clearly defined, and meaningful metrics identified, a data scientist simply needs to provide examples for their model…

Recently, deep convolutional neural networks (DCNNs) have attracted much attention in remote sensing. Deep learning-based methods have been adopted for a variety of SAR images tasks, including object detection (automated target recognition), land cover classification, change detection, and data augmentation. In order to transfer CNN experience and expertise from optical to SAR, we need to understand the difference between optical imagery and SAR data [2].

SAR imagery provides information about what’s on the ground, but distortions and speckle make these images very different from optical images. Since SAR data is slightly less intuitive than optical data, it imposes a challenge…

ML in Modern Storytelling

With over a billion uploads and over 5 million writers contributing every month, evaluating and sorting stories has become impossible for Wattpad to do manually.

This becomes particularly evident when you consider how complex stories are to begin with. There are a diverse set of building blocks that make up a great story, including genre, grammar, tone, dialogue, sentence structure, setting, and characters to name a few.

This is where Wattpad relies on their proprietary “Story DNA” technology and AI. Inspired by Pandora’s music genome project, story DNA technology leverages machine learning to generate insights content from the world’s most…