Matthew Stewart

My latest Medium article provides an introduction to the field of tiny machine learning: the ability to perform machine learning on memory-constrained embedded devices. @matthew_stewart/tiny-machine-learning-the-next-ai-revolution-495c26463868" target="_blank" rel="nofollow noopener">medium.com/@matthew_stewa…

@baseten Thanks for the invitation @MorganBarrettX and @JulienTech, it was great to network with some of NYC's tech leaders—hope to see some of you again during #NYTechWeek!

Thank you to the ML engineers, scientists, and founders who attended our NYC AI breakfast yesterday morning. New York's community of AI leaders is just getting started!

Anyone who's touched the US healthcare system-as an employee, patient, or caregiver-knows that finding their *own* data isn't easy. What does this do to innovation more broadly? It stifles it. (1/3) #data #HealthTech #Innovation

In this article, @MatthewPStewart explores the crucial role of benchmarking in advancing computer science and machine learning buff.ly/3EPjlxO

🔬🤖 New Nature paper introduces the "embodied Turing test" for AI - a novel approach inspired by #neuroscience nature.com/articles/s4146…

Introducing the 3rd On-Device Intelligence Workshop, at MLSys '23! Want feedback on early research results or have a tool/method you want to share with the community? Submit a 4-page paper on your work! Call for Papers: tinyurl.com/on-device23 Submission deadline: Feb 24th

@Slade28220507 @EdgeImpulse @180180q @BrainChip_inc It’s actually not… but I will bare this in mind for our journal article that there is some confusion between what an ML Sensor is and BrainChip’s product. Thanks for the feedback.

@EdgeImpulse @180180q @matthewpstewart What you are describing is what @BrainChip_inc has developed and brought to market. But your know that already.

"We need to place the computing power directly where the data is generated. Enter the machine learning sensor." @MatthewPStewart explains his team's new approach to embedding ML intelligence on edge devices. towardsdatascience.com/machine-learni…

If only all research papers were this succinct #PhDLife

The preprint for our concept paper on "machine learning sensors" is now on arXiv. We describe a new way of deploying ML models to microcontrollers at the level of individual sensors. We hope this will make machine learning more accessible to non-experts. medium.com/towards-data-s…

New! A team of @hseas authors describe their wonderful work in developing a massive online course on #TinyML with their collaborators @edXOnline @arduino & @GoogleAI @profvjreddi @dustintingley @MatthewPStewart #appliedML #MOOC #StemEducation hdsr.mitpress.mit.edu/pub/0gbwdele

My latest Medium article introduces the reader to the nascent field of AI for social good (AI4SG), the intersection of AI with the social sciences and environmental science focusing on the sustainable development goals outlined by the United Nations. @matthew_stewart/introduction-to-ai-for-social-good-875a8260c60f" target="_blank" rel="nofollow noopener">medium.com/@matthew_stewa…

Researchers @Datacrafting1 and @MatthewPStewart provide a comprehensive review of #COVID19 digital contact tracing applications around the world. @quantumblack @hseas #ContactTracing #privacy #ethics hdsr.mitpress.mit.edu/pub/pvecdoyj

Hot off the virtual press in the Harvard Data Science Review! My co-author Matt Stewart and systematically reviewed hundreds of COVID-19 contact tracing apps around the world and assessed how well they conform established ethical principles. hdsr.mitpress.mit.edu/pub/pvecdoyj/r…

"We believe that end-to-end dev platforms such as Edge Impulse, that lower the entry barrier into tinyML, will likely become mainstream and an essential part of the future developer ecosystem." New paper on widening access to applied ML with #tinyML: bit.ly/350UFAv

Here is my recent interview with @Elektor's Carmine Abate on the topic of tiny machine learning. For anyone interested in getting started with tiny machine learning, check out our courses on @edXOnline. #machinelearning #artificialintelligence #tinyml elektormagazine.com/articles/tiny-…

Two of my posts on fairness and interpretability in machine learning are now featured on @topbots. Find them here: topbots.com/interpretable-… #MachineLearning #DataScience #ArtificialIntelligence

I just published in @TDataScience Guide to Classification on Imbalanced Datasets towardsdatascience.com/guide-to-class…

I just published Programming Fairness in Algorithms link.medium.com/PcbVLxvDM7

Finally got my Master’s degree from Harvard, now just to finish the PhD! Yes it’s in latin and I can’t read it either 😅 lnkd.in/ekkdeJN