DT42’s BerryNet is an easy-to-use, open-source AI development framework. Learn how the free software is accelerating the creation of edge AI applications across multiple hardware platforms.
Error - something went wrong!
Your contact request is submitted.
Error - something went wrong!
more on this this topic
Drop-in Software Takes Real-Time Analytics to the Grid
Can utilities add real-time analytics to legacy substations without disruptions? Drop-in software makes it possible, plus saves time and resources. Read on to find out how.
IoT Data Analytics: The Layer Cake
Distributed analytics helps operators identify correlations in IoT data quickly and efficiently. But distributed analytics architectures require flexible analytics engines spanning the edge and cloud.
Build an Autonomous Mobile Robot in One Day
How can developers add machine vision to an autonomous mobile robot (AMR) in a single day? Read how a kit makes it simple to test robot design and code in the cloud and build a PoC right out of...
Chinese Energy Grid Gets Edge Server Layer
Software Powers Machine Vision
How can computer vision capitalize on the increasing power and decreasing cost of advanced hardware? It takes analytics at the edge, software, and the right tools. Find out how.
Three Pitfalls of Automation Design
Machine automation can yield huge productivity, efficiency, and cost benefits. But how can you avoid three common design pitfalls? Learn how industrial-grade technologies can make or break a project.
IoT Dev Chat Ep. 1: Secrets of Rugged AI
We’ve launched a new podcast for developers and engineers, featuring design insights from IoT experts. Listen to our first episode: Building Machine Vision for Industrial Environments.
The IIoT Powers Smart Grid Substations
How can the energy grid benefit from IIoT technologies without sacrificing cost, reliability, and security? When workload consolidation works its magic. Read on to find out how.
How System Integrators Find New Opportunities
By rethinking how they deliver IoT solutions, SIs can expand their customer pool. The key is knowing how to customize off-the-shelf systems.
Sensor Network for the Smart Factory
AI Benchmarks: A Barometer Before You Build
Ready to take a paradigm-shifting AI algorithm to market? Determining if it should run on a GPU, FPGA, or VPU could save power, cost, and latency—plus improve system accuracy. Check the benchmarks.
FPGA Acceleration of Binary Weighted Neural Network Inference
Motion Intelligence for Warehouses – Success Case
AI and Edge Servers Go to the Extreme
AI inferencing at the OT edge means packing enterprise performance into rugged embedded systems. The benefits are obvious. The implementation is not.
How System Integrators Solve Big IoT Challenges
Complex problems need complex solutions. Here’s how system integrators and distributors partner to get creative with the IoT.
Big Changes for System Integrators
As the IoT extends its reach, SIs must partner with their customers to create complex solutions. Here’s how this impacts the relationship between SIs and distributors.
IIoT Breaks the Legacy Language Barrier
How can smart factories break the language barrier between existing equipment and the IIoT? Smart factory solutions provide the edge computing power to make it happen. Find out how.
Why System Integrators Need to Evolve
Fast-Track Computer Vision at the Edge
What if developers could deploy edge computer vision and AI applications faster and at lower cost? They can. Read how Intel® Movidius™ and the Intel® OpenVINO™ Toolkit make it possible.
FPGAs & Arduino Drive Motor Control