Today, edge AI is changing our world — whether it’s smart lab instruments enabling faster blood tests, autonomous drones inspecting wind generators, or AI coaches motivating us to exercise better. But developing AI-enabled edge devices is tough. Due to the diversity of edge AI applications, there’s no “one size fits all” solution; developers must navigate among numerous choices in algorithms, sensors, processors and development tools. And, developers must deliver highly efficient systems to meet the demanding cost, power consumption and size requirements of edge devices.
In this talk, we identify the most important challenges facing edge AI developers today, which center around complex design and development processes. We’ll share Intel’s vision for how the industry must advance in order to enable edge AI to reach its true potential — and what Intel is doing to achieve this vision.
Improved development tools are essential to this. For example, tools that enable developers to quickly experiment with different algorithms, processors and optimization techniques – without having to spend weeks obtaining and setting up development boards and tools.
Even with sophisticated tools, edge AI development teams require up-to-date, specialized skills. Today, these skills are scarce. We believe that the industry must enable hundreds of thousands of developers to master the necessary skills.
We invite you to join us in creating solutions that empower developers and enable the creation of innovative edge AI solutions – solutions that will improve lives and transform industries. We invite you to join us in creating the edge of the future.