DevRel Engineer | AI Dev Tools 😎🤙🏻
Canada 🇨🇦
Joined April 2012
- Tweets157
- Following92
- Followers47
- Likes69
BMCFADS retweeted
Announcing the "Professional Plan" pricing tier, providing a cost-effective, self-service access point to advanced features in Edge Impulse for data, model, and hardware exploration.
edgeimpulse.com/blog/announc…
I dig it! Especially that second bullet point.
Great first three days in the Bay Area, so much energy here! My current messages to the ecosystem:
- Everyone (including software engineers, small startups, academia, indie developers,...) should train, optimize and run their own models. Time for AI builders, not AI users!
- LLMs are boring and progress is slowing down there. Let's focus on smaller/specialized/on-device models & other modalities like audio, video, time-series, multi-modal, robotics, biology, chemistry,...!
- Open-source AI for the win!
Let's go Silicon Valley! 🚀🚀🚀
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New to edge AI and want to learn more? Take a look at this course we’ve released. It’s free!
Shout out to @ShawnHymel for the work he put into making this happen.
Get certified with our new course, "Introduction to Edge AI." This free 10-part series will help you become familiar with edge computing and #MachineLearning, taught by @ShawnHymel. We’re excited to see what you will build!
Start here 👉 edge-impulse.gitbook.io/docs…
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I haven’t played with ExecuTorch yet but I’m looking forward to experimenting with it as part of my research in a few months time.
Introducing ExecuTorch Alpha ⚡
ExecuTorch Alpha is focused on deploying large language models and large ML models to the edge, stabilizing the API surface, and improving installation processes.
Learn more in our latest blog: hubs.la/Q02vzrrW0
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Last month I started a blog! I’ll be posting about my master’s research (partly to help keep me accountable), edge ML, and life in general. Take a look.
blog.bmcfads.ca
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BMCFADS retweeted
Make sure to join NVIDIA's Amit Goel at @edgeimpulse #Imagine2023 and explore new industry insights in #AI and machine learning for edge computing and what's possible with #NVIDIAJetson and @nvidiaomniverse. Check out the agenda. nvda.ws/3PreTKE
BMCFADS retweeted
Developing accurate object detection models can be challenging for edge #AI developers.
Learn how to train a model with @EdgeImpulse using #SyntheticData generated using #OpenUSD and #NVIDIAOmniverse Replicator. nvda.ws/3EMl2fw
BMCFADS retweeted
Congrats to the Sentinel team at @conservationx for being named the 2023 Product of the Year for Best Consumer Edge AI End Product by @edgeaivision!
We're proud to have collaborated with CXL to build the award-winning Sentinel Smart Camera! prn.to/3qbR2oZ #EVS23
I’ll be there too! ⬇️
@EmbVisionSummit
Talks by @janjongboom and Amir Sherman, a workshop with @ShawnHymel and @jennymplunkett, and partner demos featuring @RenesasGlobal, @BrainChip_inc, @SonyDevWorld, @TXInstruments, and @lexmark are just some of the things we have in store for #EVS23! bit.ly/3McFKIv
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BMCFADS retweeted
Exciting news! Edge Impulse has been named one of @Inc’s Best Workplaces of 2023. 🎉
We're proud of what this team has grown to be, full of talented trailblazers on a mission to optimize AI for the edge.
Congrats to all the honorees! inc.com/best-workplaces #IncBestWorkplaces
BMCFADS retweeted
Edge AI right in the bullseye! 🎯
Product leaders: Explore these technologies now to capitalize on market opportunities ➡ gtnr.it/3NACLMe #GartnerHT #EmergingTechnology
Next week I’ll be speaking at the Computer Vision Summit in San Jose! If you’re around and need an excuse to grab a coffee or beer (and chat #EdgeAI), I’m happy to be that reason.
@AI_AInstitute @EdgeImpulse computervisionsummit.com/loc…
Very cool to see the global participation! 👏
Excited about the #TinyML workshop starting today. We have 418 participants from 72 countries and a great line-up of speakers! Keynote by @dansitu and @jennymplunkett today. tinyml.seas.harvard.edu/SciT… @ictpnews
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BMCFADS retweeted
Check out the latest in Neuromorphic computing with guest Sean Hehir, CEO of @BrainChip_inc in the latest episode of ML on the Edge! #ml #ai #edge #tinyml
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BMCFADS retweeted
Getting models trained in Python to run in embedded C++ can be a challenge, but a new generation of tools is making it simple. hackster.io/news/porting-dee…
Topic idea for today:
- @EdgeImpulse’s new BYOM and Python SDK
nitter.gq/i/spaces/1lDxLnaQomyGm
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Wait for it… 👍🏻👍🏻
@janjongboom
Today we're unveiling BYOM and our new Python SDK!
You can now access the power of Edge Impulse directly in your dev environment — get on-device performance, optimize your model, and export a C++ library that can be deployed to any edge hardware: bit.ly/pythonsdk
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BMCFADS retweeted
Today we're launching the @EdgeImpulse Python SDK 🐍
A single function call to see how your model will perform on any embedded device.
And another call to transform your model into optimized C++ that will run fast on millions of devices.
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bit.ly/pythonsdk
I’ve been excited about the Python SDK launch since I joined @EdgeImpulse!
Bring Your Own Model is just the start of new functionality that will open up more capabilities for ML engineers.
edgeimpulse.com/blog/unveili…