Our AI Impact

 for the health of people



 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 ⇢ 


              How Should My Company Prioritize AIQ™ Capabilities?





                Start With Your AIQ Score

                  3 min read

                  Chat-GPT: The End of Education?

                  Featured Image

                  Chat-GPT is a large language model developed by OpenAI. Two characteristics make it exceptional: (i) the ability to generate "human-like" responses to user prompts and (ii) public accessibility. Early adopters have used Chat-GPT’s “free research preview” to accelerate or automate many tasks, from meal planning to software debugging.

                  However, large language models like Chat-GPT are not infallible. OpenAI warns that Chat-GPT “may occasionally generate incorrect information” and “produce harmful instructions or biased content” — vulnerabilities that malicious users can exploit and over-eager users may fail to recognize. [1] Stack Overflow, an online Q&A platform for programmers, had to ban Chat-GPT-generated content when users flooded the forums with believable but incorrect answers generated by the model. [2] Moderators posted the following justification for the ban:





                  One group seems particularly susceptible to abusing Chat-GPT. Students have clear incentives to use the model to shortcut their studies. After all, who wouldn’t want to work less and get better grades? 

                  Concerned educators contend that Chat-GPT is a crutch, not a tool. In early January, New York City Public Schools (the largest school district in the U.S.) banned Chat-GPT from school devices and networks. [3] Several smaller districts have followed suit; Seattle Public Schools banned the model along with six other “cheating sites.” [4]

                  On the one hand, students could benefit from learning to use Chat-GPT.  As technology advances, technological competency is becoming an increasingly valuable professional skill. Furthermore, learning about Chat-GPT’s limitations could help students practice critical thinking and a healthy skepticism toward untested technology. From this perspective, banning Chat-GPT in schools would be akin to banning Computer Science: counterproductive and old-fashioned.

                  On the other hand, students who use Chat-GPT as a replacement for learning will miss crucial learning opportunities. For example, students who use the model to automate their homework will neglect important, manual skills, such as research, critical thinking, and writing. Additionally, one might argue that students who submit Chat-GPT-generated content unfairly undercut other students’ original work by “plagiarizing” the model.

                  It’s difficult to say whether Chat-GPT’s benefits will outweigh the risks for students in the long term. Much will depend on how educators adapt to this new technology: Will schools develop methods to detect and regulate the use of large language models faster than students take advantage of them? We wait for the answer. 

                  Read our blog post about the opportunities and risks Chat-GPT creates for professionals.


                  About Synaptiq

                  Synaptiq is an AI and data science consultancy based in Portland, Oregon. We collaborate with our clients to develop human-centered products and solutions. We uphold 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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