Eric Hsiao

Engineer @ Focused on Mobile Machine Learning + App Development

[Eric Hsiao @hsiaoer5]

Just a sneak peak

[Eric Hsiao @hsiaoer5]

For all you #DiamondHands out there, made a snapchat lens for yall 🤲💎🚀🚀 https://t.co/zBArVMjag4

@wsbmod @fritzlabs

[Lens Studio @LensStudioDev]

Whew! That SnapML session has inspired so many new Lens ideas! I love that SnapML helps make Machine Learning more accessible for AR creators. And I can’t wait to use @fritzlabs and @runwayml to help with my next lens. - @badchickstudios

https://t.co/E5YcVCBupe

[Austin Kodra @austin_kodra]

THREAD: A non-developer tries to build a #MobileMachineLearning demo from scratch with @fritzlabs. He has access to a cat so decides to build a cat detector (#ObjectDetection). He brews some ☕️ and gets off to a promising start...

[Fritz AI @fritzlabs]

#MobileMachineLearning projects can feel overwhelming, with the need for fine-tuned architectures, platform-specific requirements, and much more.

📖To help, we created a detailed Ebook that covers the entire mobile ML project lifecycle:

https://t.co/HYd2f1IIPZ

[Fritz AI @fritzlabs]

📢Announcing a new round of funding + the release of our end-to-end platform for mobile ML out of early access:

🖥️Generate datasets & train models—without code
📲Deploy across platforms & devices
🔐Manage, improve, & protect models

Learn more: https://t.co/jZMxEO5Cvp

[Fritz AI @fritzlabs]

Announcing Fritz AI Model Training. Joining our Dataset Generator & Dataset Collection System, Model Training is the next piece of our unified mobile ML workflow:

🔧No-code training
👩‍💻No ML expertise needed
📲Easy model optimization

Request Access: https://t.co/KQv211cY4Z

[Fritz AI @fritzlabs]

Introducing the Fritz AI Dataset Collection System for gathering real-world, user-generated data. It enables ML teams to:

🎭 Understand model performance in the wild
🏋️‍♀️ Retrain models
🧩 Learn how app users engage with ML features

Request early access: https://t.co/gORkCDzUFU

[Fritz AI @fritzlabs]

We’re excited to announce that the Fritz AI Dataset Generator now supports object detection, in addition to 2D pose estimation. Generate ready-to-train, accurately-labeled datasets of 1000s of images in a matter of minutes.

Request Early Access: https://t.co/tADh5fuA8n"

[Fritz AI @fritzlabs]

Honored and inspired that @BuiltInBOS selected Fritz AI as one of the 50 Boston-area tech startups to watch in 2020. Incredible to be in such company, and we’re looking forward to a great 2020 and beyond.

The list: https://t.co/W2iAXaZdzt

Our write-up: https://t.co/xVhmxP27Zw

[Fritz AI @fritzlabs]

As we approach the end of 2019, we feel more convinced than ever that the future of #MachineLearning is at the edge. Our own @austin_kodra with an in-depth look at the most important news and industry developments from throughout the year. https://t.co/mcaXV1wXNU

[Fritz AI @fritzlabs]

Have an idea for a #MobileMachineLearning project, but don’t have enough data?

With the new Fritz AI Dataset Generator, you can create ready-to-train datasets of 1000s of images with accurately-labeled keypoints—in minutes.

Request early access ➡️ https://t.co/77T2A424ba

[Eric Hsiao @hsiaoer5]

@teresahsiao Hope you put in some of dad’s suggestions for #NorafromQueens

[Fritz AI @fritzlabs]

Exciting news! Developers using Fritz AI can now use custom object detection models built with Apple's model building framework #TuriCreate. Our own @jamesonthecrow with a tutorial showing just how easy it is to add object detection to you #iOS apps. https://t.co/Zy7wtbACol

[Eric Hsiao @hsiaoer5]

This is super cool! Spent the last 20 minutes playing around with it at my desk 😂

[Hart Woolery @2020cv_inc]

#YoPuppet is live (and free for a limited time) in the App Store: https://t.co/WsE9NK5UH4 RT and reviews appreciated! A lot more puppets coming soon... #ios #AppStore #ar #ml #TensorFlow @mcuban

[Nat Friedman @natfriedman]

We are thrilled to welcome the Apache Software Foundation to GitHub, and we will strive to diligently and humbly serve the needs of Apache projects. https://t.co/xgIX9OJcRy

[Fritz AI @fritzlabs]

Today, we’re excited to announce the release of a new ML feature on the Fritz platform: Hair Segmentation. With this feature, your app’s users can try and share new hair colors, styles, and designs. Check out the launch on @ProductHunt for more.
https://t.co/0fjGZBHdJ9