artificial intelligence

Using AI+SAR+Optical To Find The Invisible

Shining A Light On Illicit Activities Trying to hide your illicit activities by doing them at night? Not any more – AI+SAR+Optical  can be trained to track activity at night. Trying to hide your illicit activities under the canopy of trees?  Not any more. AI+SAR+Optical can be trained to see the texture and health of …

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Satellite Image Analysis Is Expanding: 3 Indicators

Analysis of satellite images is nothing new. Governments have used it to monitor other countries for decades. Hedge funds started to innovate by using satellite imagery to count cars in company parking lots to predict sales 15 years ago. But until recently, from a technology perspective, limited imagery, and the highly manual process of image …

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Military Facilities On Mischief Reef

It’s no secret that China is building massive military facilities on former reefs known as the Spratly Islands. But what exactly are they doing, and at what pace? Using Simularity’s Automatic Image Anomaly Detection System (AIADS), we can analyze a candidate image against a set of historical images, as the AI can learn from the …

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KQED Public Radio’s California Report Covers Simularity Intelligent Virtual Wall Proposal

KQED’s Tara Siler reports on Simularity’s Automated Image Anomaly Detection System (AI-ADS) as part of Simularity’s proposal for an Intelligent Virtual Border Wall.  Using 10,000 year old technology (physical walls) is an ineffective way to protect borders or expensive remote assets. The smart and more effective solution is to use the latest technology to identify …

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ai virtual wall story simularity

ABC7 News Covers Our Proposal For Intelligent Virtual Border Wall

Simularity CEO Liz Derr was interviewed by ABC7 News, thanks to a regional city council who recently decided to boycott companies involved in the Trump Wall project. We put our name of the list of companies interested in bidding on the Border Wall because our Intelligent Virtual wall solution is more effective and costs significantly …

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