Moving Too Fast Can Break People: Looking Back at HIMSS 2023
In the aftermath of the pandemic, our healthcare system rose to new challenges, delivered exceptional care, but also...
for the health of people
for the health of planet
for the health of business
FOR THE HEALTH OF PEOPLE: EQUITY
|
![]() |
“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.”
|
Read the Case Study ⇢ |
DATA STRATEGY
|
![]() |
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.
|
Read the Case Study ⇢ |
PREDICTIVE ANALYTICS
|
![]() |
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.
|
Read the Case Study ⇢ |
MACHINE VISION
|
![]() |
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.
|
Read the Case Study ⇢ |
INTELLIGENT AUTOMATION
|
![]() |
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.
|
Read the Case Study ⇢ |
![]() |
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 ⇢ |
By: Synaptiq 1 Aug 16, 2022 4:45:00 PM
The 2021 wildfire season scorched 3.6 million acres in the United States. [1] That’s a wake of destruction 39 times the size of Synaptiq’s home base, Portland (OR). Experts expect the 2022 season to be no less destructive. The National Interagency Fire Center (NIFC) warns that the number of U.S. acres burned this year by wildfires is already 160 percent above the 10-year average, and we're not even halfway through the season. [2]
These numbers aren’t typical — or, at least, they weren’t typical twenty years ago. Recent climate change has contributed to longer wildfire seasons and more destructive wildfires:
Research shows that changes in climate create warmer, drier conditions. Increased drought, and a longer fire season are boosting these increases in wildfire risk. [3]
The consequences of climate change-affected wildfires are significant for those affected by or tasked with fighting wildfires. Federal firefighting costs totaled $4.4 million in 2021, well above the $2.4 million ten-year average. [4] That’s not to mention the lives lost, property damage, and emotional toll.
First-responders and communities need advance warning about wildfires to respond safely and efficiently; however, an early-warning wildfire detection system faces two obstacles:
1. Wildfires often start in remote regions.
2. Wildfires start small but grow quickly.
Our challenge was to develop a system that (i) covered remote regions and (ii) could quickly detect even the tiniest wildfires before they grew into more destructive infernos. Our solution was anything but conventional.
Our client developed and launched stratospheric balloons carrying long-range sensory equipment to gather live data on key wildfire indicators (such as temperature). We developed computer vision software that rapidly analyzes this data, conducts a risk assessment, and decides whether to alert local fire departments.
Our solution will help prevent wildfires, in some cases, before they happen — and, in others, before they grow large enough to cause significant damage. We hope our contribution to wildfire-fighting efforts will save lives and prevent losses. With extreme weather growing more frequent and intense worldwide, it’s more important than ever that we embrace technology to mitigate and protect ourselves from the consequences of climate change.
Synaptiq's most recent work on artificial intelligence to combat climate change applies computer vision software to a new challenge: detecting methane leaks. Methane is a powerful greenhouse gas, with 80 times the warming power of CO2. [5] You can learn about our solution — how it works and who it helps — through the button below.
Synaptiq is an Oregon-based AI and data science consulting firm. We engage our clients in a collaborative approach to developing custom, human-centered solutions with a 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.
In the aftermath of the pandemic, our healthcare system rose to new challenges, delivered exceptional care, but also...
May 13, 2023
Technology is moving fast in the construction industry, touching all areas of the field. From the digital...
April 11, 2023
Did you know that biodiversity–the variety of life on earth–does more than just provide us with beautiful landscapes...
April 5, 2023