Here we understand 'intelligence' as referring to items of knowledge collected for the sake of assessing and maintaining national security. The intelligence community (IC) of the United States (US) is a community of organizations that collaborate in collecting and processing intelligence for the US. The IC relies on human-machine-based analytic strategies that 1) access and integrate vast amounts of information from disparate sources, 2) continuously process this information, so that, 3) a maximally comprehensive understanding of world actors and their behaviors can be developed and updated. Herein we describe an approach to utilizing outcomes-based learning (OBL) to support these efforts that is based on an ontology of the cognitive processes performed by intelligence analysts.

Footage taken of New York City has been colorized and upscaled using artificial intelligence (AI) more than 100 years after it was shot, and the results are astonishing. In 1911, Swedish production company Svenska Biografteatern visited the United States and shot extensive footage of the streets. Over a century later, still in mint condition, it was cut by YouTuber Guy Jones, and slowed down to a more natural speed. The result, A Trip Through New York City, can be viewed below. From that footage, another YouTuber (loving your work here YouTube, prefer this a lot to your anti-vaxx and pseudoscience content) was able to upscale and colorize it using neural networks.

Forget using healing brushes or copying and patching scraps of images with Adobe Photoshop – a revolutionary new AI program might soon let you seamlessly reconstruct entire missing sections of an image in a way that needs to be seen to be believed. The US tech company Nvidia has come up with a novel method for editing complex images that uses neural networking to fill in the blanks, resulting in a far more realistic picture in a fraction of the time required by current programs. Erasing the ex from your family portrait currently requires some clever use of a handful of tools that use the surrounding pixels to estimate the colours and patterns that go inside their cut-out silhouette. In addition to these'valid' outside pixels, they sample the copies inserted into the cut-out in order to combine them into a best-guess background pattern. For the most part this works surprisingly well.