Hardware Pioneers 2024 - Realising AI at the Edge - Arrow
Dive into the 5 key steps to achieving AI at the Edge in this comprehensive video by a Technology Leader at Arrow, covering insights into Data Engineering, Model Training, Optimization, Deployment, and Monitoring.
How are AI vision systems transforming industries?
Discover the transformative power of AI vision systems in various industries. Explore real-life applications and learn why connectivity is crucial for their success.
Watch our Tech Snack to delve deeper into how AI is reshaping industries with its machine learning and machine vision capabilities, and how Molex solutions are facilitating these advancements.
NXP eIQ for next generation of edge applications: Highly scalable, area and power efficient machine learning accelerator core architecture. NXP offers a very wide portfolio of devices from traditional MCUs in the Kinetis, LPC families and more recently the MCX portfolio of devices, to our i.MX RT crossover MCUs and our i.MX applications processors, and in each of the market areas we serve, we see an increased demand for efficient machine learning compute capabilities
to wireless IoT chips
Explore Silicon Labs' latest wireless IoT chips featuring dedicated AI acceleration embedded on-chip through an in-house matrix vector processor design. Explore the practical applications driving the need for this advanced capability and learn how the accelerator seamlessly integrates with the device's deep sleep modes for optimal efficiency.
Microchip Technology
Explore the cutting-edge world of Microchip Technology Machine Learning, where you are empowered to create and implement advanced models effortlessly. Whether you're venturing into the realm of Microcontroller Units (MCUs) and Microprocessor Units (MPUs) or seeking specialized tools for image classification and video applications, this comprehensive suite of solutions has you covered.
Visioning with TE Connectivity
Your applications connected with AI are made possible with TE Connectivity (TE). Miniaturization, increasing power requirements, the impact of artificial intelligence (AI), sustainability, and energy efficiency are evolving trends in the industry.
The 3M™ USB3 Vision Industrial Camera Cable Assemblies support high-speed imaging in professional and industrial imaging applications such as machine vision, medical imaging, life sciences, broadcast and defence. They provide you a reliable and fast permanent process imaging. The 3M offer has excellent transmission up to al least 7m.
From the factory floor to the surgery room, robots have the capacity for a tremendous impact in a multitude of industries. As the world becomes increasingly connected and fast-paced, the potential for robots to revolutionize the way we live and work is greater than ever.
Autonomous machines combine machine vision, robotics, motor control, and other applications to create environments with improved safety and efficiency. The addition of autonomy in any design adds additional complexity to the design process. For example, autonomous mobile robots possess self-driving car-like capabilities and consist of intricate designs comprising sub-systems that enable them to move, perceive, and function securely with minimal human intervention.
The 3M™ Mini-Stack is a simple termination connector for industrial, sensor, LED, switch, and various small device connections using proven 3M IDC technology. This connector can provide a timesaving, reliable and field-installable wiring solution, while reducing the required board footprint.
The fourth Industrial Revolution is the most complex, inclusive, and automated revolution that the world has seen. We have reached a point where physical technology (machines, devices, sensors, and ubiquitous connectivity) and digital technology (artificial intelligence, cloud, and analytics) will converge to create a truly intelligently connected factory.
Video & Vision Processing 101: Introducing the Altera Agilex™ 5 4K Smart Camera Design Example
Date: Wednesday, February 26, 2025
2:30 PM CET
Aptos: an intelligent No-code AutoML for a resource efficient EdgeAI
OnDemand
(Date: Monday, February 17, 2025
2:00 PM CET)
Introduction to Altera
FPGA AI Suite
OnDemand
(Date: Monday, November 18, 2024
2:00 PM CET)
Altera FPGA AI Suite in Action
OnDemand
(Date: Monday, November 25, 2024
2:00 PM CET)
Enhance your AI/ML edge computing with Variscite's
SoM solutions
OnDemand
(Date: Monday, September 16, 2024
2:00 PM CET)
EdgeAI computing inside MEMS sensors enhancing breakthrough innovations
OnDemand
(Date: Monday, September 9, 2024
1:00 PM - 2:00 PM BST)
Integrating Multi-Camera Systems for Advanced IoT Deployments
OnDemand
(Date: Thursday, August 8, 2024
9:00am PDT | 12:00pm EDT | 18:00 CEST)
Future Proof Your ML
Journey to the Edge
OnDemand
(Date: Monday, June 24, 2024
1:00 PM - 2:00 PM BST)
Tiniest Gesture-based Remote Control. Practical session
OnDemand
(Date: Monday, June 03, 2024
1:00 PM - 2:00 PM BST)
Redefining AI at Edge with Alif
OnDemand
(Date: Monday, May 27, 2024
1:00 PM - 2:00 PM BST)
Design low-power Linux AI applications using the iMX 93 Apps Processor, featuring the Arm® Ethos-U65 neural processing unit
OnDemand
(Date: Monday, May 20, 2024
2:00 PM - 3:00 PM CEST)
Synap toolkit - speedup AI application development
OnDemand
(Date: Monday, May 13, 2024)
ST Edge AI Suite, the unified AI toolchain - part 2
OnDemand
(Date: Monday, May 6, 2024)
ST Edge AI Suite, the unified AI toolchain - part 1
OnDemand
(Date: Monday, April 29, 2024)
MCX N series: Push the Edge of What's Possible
OnDemand
(Date: Monday, April 22, 2024)
In-sensor AI capabilities with Neuton.AI's neural networks
OnDemand
(Date: Monday, April 15, 2024)
5 Steps to realise
AI at the Edge
OnDemand
(Date: Monday, April 9, 2024)
5-step Edge AI Development Flow
Data Engineering
Specify, collect, clean and prepare data for model training
What is it?
- Data Collection
- Data Cleaning
- Data Transformation
- Data Integration
- Data labelling
Do you want to learn more about Artificial Intelligence at the Edge?
Model Training
Selecting and training the model
What is it?
- Algorithm and feature selection
- Selection of model architecture from standard models
- Train the model
- Evaluation and testing
Do you want to learn more about Artificial Intelligence at the Edge?
Model Optimization
Simplifying and optimizing the model
What is it?
- Optimization model for MCU, MPU devices
- Quantization, pruning Improvements display, profiling the model
- Usage of different optimization stacks
Do you want to learn more about Artificial Intelligence at the Edge?
Deployment
Deploying the model onto the HW platform
What is it?
- Deployment and verification of model speed, footprint, accuracy
- Comparison against different suppliers, platforms
Do you want to learn more about Artificial Intelligence at the Edge?
Monitoring
Testing and monitoring
What is it?
- Machine Learning Ops and maintenance
- Model and data drift, accuracy monitoring
Do you want to learn more about Artificial Intelligence at the Edge?
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