TinyML and Efficient Deep Learning Computing, MIT 2023

A course that covers efficient AI techniques used for deploying deep learning models on resource-constrained devices.

The topics covered include model compression, pruning, quantization, neural architecture search,…

I am excited to have been invited by Robotics Club of ALU for a live demo of my Smart Home prototype project. The smile is endless when it comes to the harnessing technology to solve problems and bring comfort to people's life.

#tinyml #googledeveloperstudentclubs

[LG] Tiny Machine Learning: Progress and Futures
arxiv.org/abs/2403.19076
- TinyML enables deep learning on microcontrollers (MCUs) with limited memory and computation. The key challenges are fitting models in tiny memory and enabling training within constraints.

-…

Incredible week @ #EmbeddedWorld2024 ! Broad brand awareness, deep AI convos, buzzing tinyML pavilion. Grateful for connections, excited for what's next!
brainchip.com/embeddedworld/#

We're live at the #tinyML event today! If you are in attendance, stop by & check out our live BrainChip x NVISO Human Behavior demo + learn more about how Akida is driving AI at the speed of tomorrow.

BrainChip's Akida is revolutionizing tinyML Summit 2024! 🚀 Join us in San Francisco, April 22-24, for live demos and more. Unlock endless possibilities! ow.ly/3Gam50RjepB Press ow.ly/6sB650RjepC

Have you ever built an IoT project?
We had a chance to build one this week in our #IoT session, a smart home project, featuring #ESP32 and #ESP8266 with the friendly blynk enabling you to control appliances remotely from your mobile phone.
Join us next week for #tinyML 🚀

اللهم لك الحمد تم اختياري من KAUST Academy لحضور كورس TinyML بيقدمونه نخبة من خبراء هذا المجال💙✨

الجميل انها بتكون ثمان ايام اقامة بكاوست نعيد فيها الذكريات الجميلة✨

🎓TinyML and Efficient Deep Learning Computing

You can now catch up on the efficient ML space with this new set of YouTube lectures by MIT.

Topics include model compression, pruning, quantization, neural architecture search, distributed training, data/model parallelism,…

Meet our Incredible Speaker: Wes | #BuildWithAI who is passionate about ML & AI Engineering | Research: TinyML, TTS & LLM | Communities: GDG Cloud Mbarara & Twitter Developer Community Uganda.

Book your seat: ug.pycon.org/tickets

#PyConUganda #PyConUganda 2023

💥🧮 🚀 🚀 We are going to #Pwani for #AI Summit Pwani University!

🤖✨ This is a unique opportunity to dive into AI, connect with experts, innovate & showcase your work. 🌍💡 Students are encouraged to apply.

#AI #DLI #ML #tinyML

Shakir Mohamed Kathleen S. Ulrich Paquet AI for Good 🇺🇳 #AIforGood

3. Fundamentals of TinyML

Focusing on the basics of machine learning and embedded systems, such as smartphones.

What you'll learn

• Fundamentals of Machine Learning (ML)
• Fundamentals of Deep Learning
And more

🔗 pll.harvard.edu/course/fundame…

5. Fundamentals of TinyML course:

∙ Basics of machine learning and embedded systems
∙ Introduces the language of TinyML

What you'll learn:

- Machine learning fundamentals
- Deep learning fundamentals
- Responsible AI Design

🔗 pll.harvard.edu/course/fundame…

💥TinyML has hit a new Low ▶️
#BigData #AI #MachineLearning
#Python #javascript #HTML #IoT #ML #Cloud #Robotics #Web3 #LLM #ContentCreation #viral
#DataScience #programming
#Coding #100DaysOfCode
hackster.io/news/tinyml-ha…

الحمد لله تم اختياري في كورس TinyML في كاوست KAUST Academy
TinyML = ( IoT + ML )
فرصة عظيمة لي في دمج تخصصي هندسة الحاسب مع الذكاء الاصطناعي , الكورس راح يكون خلال الاجازة الاسبوعية باذن الله ( 8 ايام )
اخر اجازاتي صارت كلها في كاوست ❤️🤩 الحمد لله

5. Fundamentals of TinyML course:

∙ Basics of machine learning and embedded systems
∙ Introduces the language of TinyML

What you'll learn:

- Machine learning fundamentals
- Deep learning fundamentals
- Responsible AI Design

🔗 pll.harvard.edu/course/fundame…

Francesco Paissan is presenting micromind tool at #tinyML EMEA innovation Forum 2023. Visit us at the next poster session!

Prepping for the tinyML meetup in Lagos this October.

Researchers EECS @ IISc, Bengaluru have developed a Re-configurable And sparse tinyML Accelerator for infereNce (RAMAN): an AI co-processor for edge computing applications like object recognition, speech identification, and brain-computer interfaces.

iisc.ac.in/raman-an-ai-co…

#IIScresearch

IoT Coffee Talk Episode 205: Big Things Come in TinyML

Welcome to #IoT Coffee Talk #205 where we have a chat about all things IoT over a cup of coffee or two with some of the industry's leading business minds, thought leaders and technologists in a totally unscripted, organic…