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Building AI Chips that Deliver

As AI & ML chips proliferate, the focus is moving to deployment and practical applications. This change brings a corresponding shift in the technical problems chip makers and their customers need to solve. Do the devices perform as expected under real-world conditions? What support do software development teams – both at the IC maker and systems integrator – require? Can devices adapt as software loads change and the devices themselves are subject to aging effects?

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Deploying successful inference for neural networks: it’s all about the software

While AI acceleration architectures get most of the attention these days, without a top-notch deployment tool flow, even the best architectures will fall flat. In this webinar we will show how the tool flow is critical for successful deployments.

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Integrating the Mythic Analog Matrix Processor into AI Edge Platforms

Time-to-market is a critical aspect of bringing an Edge AI product to market. When selecting an AI processor, it is important for the evaluation and integration process to be as seamless and as simple as possible. In this webinar we will show how easy it is to integrate the Mythic Analog Matrix Processor (AMP) into popular hardware platforms including Intel X86, NVIDIA and Qualcomm for accelerating AI at low power. We will provide a brief overview of the Mythic AMP and the hardware requirements for integration.