Come join Raymond Lo and Soren Knudsen from the Intel OpenVINO toolkit team to hear what they have learned about what developers need from AI tools. How does the OpenVINO team get feedback from developers? (Do they even want it?) […]
Today, TinyML focuses primarily on shoehorning neural networks onto microcontrollers or small CPUs but misses the opportunity to transform all of ML because of two unfortunate assumptions: first, that tiny models must make significant performance and accuracy compromises to fit […]
There are many large-scale opportunities for edge AI solutions across a broad range of Internet of Things applications. But deploying the kinds of complete solutions that customers desire—at scale—is challenging. Fragmentation in the IoT space means that there is huge […]
As AI applications continue to proliferate and compute moves to the edge, companies are pressured to move quickly through the development and optimization process and deploy at lower and lower costs. In this session, we’ll explore how companies are decreasing […]
The combination of AI and embedded vision promises compelling solutions to an almost infinite range of practical problems, often vastly outperforming historical techniques, while stimulating a pace of development unsurpassed since the early days of the internet. As innovative companies […]
We present the challenges and lessons learned in implementing a custom intelligent vision system to detect types of grain and measure flow rate and morphology of grains going through a milling system.
Every day, AI-enabled systems enhance how we live and work—and we’ve barely scratched the surface! These systems are poised to create new industries and dramatically improve the effectiveness, efficiency and safety of existing industries. In many cases, AI functionality will […]
