Our AI Impact

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 Our AI Impact

 for the health of planet



 Our AI Impact

 for the health of business



“The work [with Synaptiq] is unprecedented in its scale and potential impact,” Mortenson Center’s Managing Director Laura MacDonald MacDonald said. “It ties together our center’s strengths in impact evaluation and sensor deployment to generate evidence that informs development tools, policy, and practice.” 
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    ⇲ Implement & Scale
    A startup in digital health trained a risk model to open up a robust, precise, and scalable processing pipeline so providers could move faster, and patients could move with confidence after spinal surgery. 
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      Thwart errors, relieve in-take form exhaustion, and build a more accurate data picture for patients in chronic pain? Those who prefer the natural albeit comprehensive path to health and wellness said: sign me up. 
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        Using a dynamic machine vision solution for detecting plaques in the carotid artery and providing care teams with rapid answers, saves lives with early disease detection and monitoring. 
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          This global law firm needed to be fast, adaptive, and provide unrivaled client service under pressure, intelligent automation did just that plus it made time for what matters most: meaningful human interactions. 
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            Mushrooms, Goats, and Machine Learning: What do they all have in common? You may never know unless you get started exploring the fundamentals of Machine Learning with Dr. Tim Oates, Synaptiq's Chief Data Scientist. You can read and visualize his new book in Python, tinker with inputs, and practice machine learning techniques for free. 

            Start Chapter 1 Now ⇢ 


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                  3 min read

                  Machine Vision with a Mission: Saving the Amazon Rainforest

                  Featured Image

                  Unlicensed Logging is an Environmental Hazard

                  Does your home have wooden floors, doors, or cabinetry? Do you read or write on paper?

                  Like most people, you probably use wood every day  — from the beams that keep our homes, buildings, and bridges upright to the sheets we use to store and transmit information. But do you know where it comes from?

                  According to the United Nations Environmental Program, unlicensed logging supplies ~10-30 percent of the global timber trade. [1] Tropical forests are most at risk; experts estimate that around 90 percent of logging in the Amazon and Congo Basin rainforests is unlicensed. [2, 3] Authorities can’t hold unlicensed loggers accountable for replanting, so illegal deforestation threatens the habitat of millions of forest-dwelling species. It also accelerates climate change by diminishing the world’s natural carbon sinks: places that absorb more CO2 than they emit. [4]

                  Preventing illegal deforestation is a priority for environmental interest groups. But unlicensed loggers operate on unmapped, unpatrolled roads hidden in dense forest. This makes them difficult to track and intercept.

                  Fortunately, modern technology offers a solution: artificial intelligence (AI) algorithms that detect and map unofficial roads using satellite imagery, so that authorities can efficiently combat illegal deforestation.

                  Keeping an Artificial “Eye” on the Amazon Rainforest

                  In 2022, the nonprofit Imazon published its efforts “to automate the detection of the unofficial roads [..] using artificial intelligence.” [5] Imazon researchers trained an AI algorithm to map roads using satellite imagery, achieving ~90 percent accuracy with automated post-processing.  [6] To date, the algorithm has mapped 3.46 million kilometers of road in the Amazon Rainforest — much of which was previously undocumented.

                  Imazon isn’t alone in its efforts. Other organizations are using AI to identify illegal deforestation hotspots, predict where unlicensed loggers will strike next, and reduce wood waste in a variety of industries. [7, 8, 9] Ultimately, AI demonstrates great potential for combating unlicensed logging. It can help “clean up” the timber industry, allowing consumers to enjoy wood products without contributing to illegal deforestation and its consequences.

                  Want to know more about sustainable technology? Read our blog on AI for wildlife conservation.


                  About Synaptiq

                  Synaptiq is an Oregon-based artificial intelligence and data science consulting firm. We engage our clients in a collaborative approach to developing human-centered products and custom solutions while maintaining a strong commitment to ethics and innovation. 

                  Contact us if you have a problem to solve, a process to refine, or a question to ask. You can learn more about our story through our past projects, blog, or podcast

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