All Events

Summit 2022

Mar 28, 2022 - Mar 30, 2022

Asia 2021

Nov 2, 2021 - Nov 5, 2021

tinyML Talks: Chasing cows: Making Africa smarter with embedded ML

Oct 14, 2021

tinyML Talks: AutoML + TinyML with Edge Impulse’s EON Tuner

Oct 12, 2021

tinyML Talks: A Practical Guide to Neural Network Quantization

Sep 28, 2021

tinyML Talks: An Introduction to TinyML for all backgrounds with hands on introduction to Edge Impulse

Sep 24, 2021

tinyML Talks: How to design a power frugal hardware for AI – the bio-inspiration path

Sep 23, 2021

tinyML Talks: TinyML and the Developing World

Sep 9, 2021

tinyML Talks: Speech-to-intent model deployment to low-power low-footprint devices

Aug 31, 2021

tinyML Talks: Edge Machine Learning for Mobile Health Technologies

Aug 24, 2021

tinyML Talks: DNN based AI application “Everywhere and Anywhere”

Aug 3, 2021

tinyML Talks: Dedicated Audio Processors at the Edge are the Future of AI

Aug 3, 2021

tinyML Talks: Better productivity leveraging AI community driven interoperability

Jul 20, 2021

tinyML Talks: Review of the TinyML EMEA Forum: The seeds have been planted, time for the EMEA ecosystem to sustainably grow!

Jul 15, 2021

tinyML Talks: Analysis of ECG Data by Energy Efficient Decision Trees on a Reconfigurable ASIC

Jul 7, 2021

tinyML Talks: Cracking a 600 million year old secret to fit computer vision on the edge

Jul 6, 2021

tinyML Talks: State of the TinyML today (Applications, état de l’art et enjeux du TinyML)

Jul 1, 2021

tinyML Talks: tinyML Vision Challenge – Himax & Edge Impulse

Jun 30, 2021

tinyML Talks: tinyML Vision Challenge: Intel-Luxonis Vision Platform

Jun 24, 2021

tinyML Talks: DeepMaker – Deep Learning Accelerator on Commercial Programmable Devices

Jun 17, 2021

EMEA 2021

Jun 7, 2021 - Jun 10, 2021

tinyML Talks: Easy TinyML – Practical TinyML examples with Arduino (in Italian)

Jun 1, 2021

tinyML Talks: What, Why and How of TinyML

May 26, 2021

tinyML Talks: Building TinyML Applications Using Rune

May 25, 2021

tinyML Talks: tinyML Vision Challenge: Kick-off Webinar and Q&A

May 20, 2021 - Jun 20, 2021

tinyML Talks: SRAM based In-Memory Computing for Energy-Efficient AI Inference

May 13, 2021

tinyML Talks: TinyML FPGA implementation for condition monitoring

May 12, 2021

tinyML Talks: Build an Edge optimized tinyML application for the Arduino Nano 33 BLE Sense

May 11, 2021

tinyML Talks: Train-by-weight (TBW): Accelerated Deep Learning by Data Dimensionality Reduction

Apr 27, 2021

tinyML Talks: MediaTek NeuroPilot – Micro

Apr 21, 2021

tinyML Talks: tiny machine learning with Arduino

Apr 20, 2021

Eyes on Edge: tinyML Vision Challenge

Apr 15, 2021 - Aug 20, 2021

tinyML Talks: Deploying AI to Embedded Systems

Apr 13, 2021

tinyML Talks: Universal CNN Accelerator Intended for Edge-Based AI Inference

Apr 7, 2021

tinyML Talks: The lottery ticket hypothesis for gigantic pre-trained models

Mar 30, 2021

Research Symposium 2021

Mar 26, 2021

Summit 2021

Mar 22, 2021 - Mar 26, 2021

tinyML Talks: tinyMLPerf: Deep Learning Benchmarks for Embedded Devices

Mar 16, 2021

tinyML Talks: Efficient Multi-Objective Neural Architecture Search with Evolutionary Algorithms

Mar 10, 2021

tinyML Talks: Positive Unlabeled Learning for Tiny ML

Mar 9, 2021

tinyML Talks: Inference with Raspberry Pi Pico and RP2040

Mar 4, 2021

tinyML Talks: Making ML work in the real world

Feb 23, 2021

tinyML Talks: An Introduction to Optimizing ML Models with TVMC

Feb 18, 2021

tinyML Talks: Oral Tongue Lesion Detection using TinyML on Embedded Devices

Feb 16, 2021

tinyML Talks: Race Predict by DXC – Harnessing compute at the edge to identity object movements during sporting events

Feb 15, 2021

tinyML Talks: Introduction to Edge Computing

Feb 13, 2021

tinyML Talks: CMSIS-NN &Optimizations for Edge AI

Feb 8, 2021

tinyML Talks: Always-on visual classification below 1 mW with spiking convolutional networks on Dynap™-CNN

Feb 2, 2021

tinyML Talks: Binarized Neural Networks on microcontrollers

Jan 19, 2021

tinyML Talks: microTVM: a Tensor Compiler for Bare Metal

Jan 19, 2021

tinyML Talks: Security of Edge AI against Hardware Attacks

Jan 13, 2021

tinyML Talks: TinyML: Enabling Low Power at the Edge – Lagos, Nigeria

Jan 12, 2021

tinyML Talks: The Future of Personalized Connected Healthcare

Jan 5, 2021

tinyML Talks: Low MIPS & Memory Machine Learning Industrial Vibration Monitoring Solution

Dec 22, 2020

tinyML Talks: Policy Pruning and Shrinking of Deep Reinforcement Learning for edge devices

Dec 15, 2020

tinyML Talks: Training Embedded AI/ML Using Synthetic Data & Using AI to design energy-efficient AI accelerators for the edge

Dec 8, 2020

tinyML Talks: Embedded Machine Learning using Infineon’s ModusToolbox ML

Dec 2, 2020

tinyML Talks: Enabling Neural network at the low power edge: A neural network compiler for hardware constrained embedded system & Amber: A Complete, ML-Based, Anomaly Detection Pipeline for Microcontrollers

Nov 24, 2020

Asia 2020

Nov 16, 2020 - Nov 19, 2020

tinyML Talks: Networks within Networks: Novel CNN design space exploration for resource limited devices & How to build advanced hand-gestures using radar and tinyML

Nov 10, 2020

tinyML Talks: Introduction to optimization algorithms for compressing neural networks

Nov 4, 2020

tinyML Talks: The extreme compression of LSTM models using sparse structured additive matrices

Nov 3, 2020

tinyML Talks: Cutting the AI Power Cord: Technology to Enable True Edge Inference & GAP8: A Parallel, Ultra-low-power and flexible RISC-V based IoT Application Processor for the TinyML ecosystem

Oct 27, 2020

tinyML Talks: AI/ML solutions for low-power Edge platforms – challenges and opportunities

Oct 17, 2020

tinyML Talks: Qeexo’s Runtime-Free Architecture for Efficient Deployment of Neural Networks on Embedded Targets & Democratization of Artificial Intelligence (AI) to Small Scale Farmers – a framework to deploy AI Models to Tiny IoT Edges that operate in constrained environments

Oct 13, 2020

tinyML Talks: Embedded ML research at TUM: Moving NN Inference to the Extreme Edge

Oct 7, 2020

tinyML Talks: Running TF Lite on Microcontrollers without hardware in Renode & Building Products using Edge AI / TinyML on MCUs

Sep 29, 2020

tinyML Talks: TinyML as-a-Service – Bringing ML inference to the deepest IoT Edge & Speech Recognition on low power devices

Sep 15, 2020

tinyML Talks: System support for efficient multi-resolution visual computing on low power embedded systems

Sep 10, 2020

tinyML Talks: The Deep (Learning) Transformation of Mobile and Embedded Computing

Sep 8, 2020

tinyML Talks: Towards Software-Defined Imaging: Adaptive Video Subsampling for Energy-Efficient Object Tracking & The Akida Neural Processor: Low Power CNN Inference and Learning at the Edge

Sep 1, 2020

tinyML Talks: Practical application of tinyML in battery powered anomaly sensors for predictive maintenance of industrial assets & Pushing the limits of RNN Compression using Kronecker Products

Aug 18, 2020

tinyML Talks: Tutorial on micro-kernel based hardware acceleration

Aug 13, 2020

SoCal Chapter Meeting: Training Neural Networks for Sensors

Aug 11, 2020

tinyML Talks: Low power CV meets the real world & Towards Ultra-Low Power Embedded Object Detection

Aug 4, 2020

Phoenix Chapter Meeting: Implementation Considerations for ML at the Edge of the Cloud

Jul 28, 2020

tinyML Talks: AI/ML SoC for Ultra-Low-Power Mobile and IoT devices & Pushing the Limits of Ultra-low Power Computer Vision for tinyML Applications

Jul 21, 2020

tinyML Talks: A Review of Compression Methods for Deep Convolutional Neural Networks

Jul 17, 2020

tinyML Talks: Benchmarking and Improving NN Execution on Digital Signal Processor vs. Custom Accelerator for Hearing Instruments & How to train and deploy tiny ML models for three common sensor types

Jul 7, 2020

tinyML Talks: A weight-averaging approach to speeding up model training on resource-constrained devices & Analog ML Is Relevant—Because Most Sensor Content Isn’t

Jun 23, 2020

tinyML Talks: Low-Power Computer Vision & Saving 95% of your edge power with Sparsity to enable tiny ML

Jun 16, 2020

tinyML Talks: SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers & tinyML doesn’t need Big Data, it needs Great Data

Jun 9, 2020

tinyML Talks: Low-cost neural network inferencing on the edge with xcore.ai & Low Power Embedded Gesture Recognition Using Novel Short-Range Radar Sensors

May 28, 2020

tinyML Talks: Embedded Computer Vision Hardware through the Eyes of AR/VR & Using TensorFlow Lite for Microcontrollers for High-Efficiency NN Inference on Ultra-Low Power Processors

May 14, 2020

tinyML Talks: Once-for-All: Train One Network and Specialize it for Efficient Deployment & Unsupervised collaborative learning technology at the Edge for industrial machine vendors

Apr 28, 2020

tinyML Talks: Adaptive AI for a Smarter Edge

Apr 14, 2020

tinyML Talks: Getting Started with TinyML

Mar 31, 2020

Summit 2020

Feb 10, 2020 - Feb 13, 2020

Summit 2019

Mar 18, 2019 - Mar 21, 2019