Events

The combined AI Hardware & Edge AI Summit comprehensively covers the design and deployment of ML hardware and software infrastructure across the cloud-edge continuum.

The Embedded Vision Summit is the premier conference for innovators incorporating computer vision and edge AI in products.

Flip the switch on global business opportunities at CES 2024 in Las Vegas, where you can meet with partners, customers, media, investors, and policymakers from across the industry and the world all in one place.

The combined AI Hardware & Edge AI Summit now comprehensively covers the design and deployment of ML hardware and software infrastructure across the cloud-edge continuum.

The premier event for practical, deployable computer vision and visual AI, for product creators who want to bring visual intelligence to products.

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The Linley Fall Processor Conference powered by TechInsights—a Hybrid Event, will be held in Santa Clara, California, on November 1-2, 2022. If you cannot attend in person, tune in to the virtual live stream or watch the presentations on demand at your convenience.

The 5th Annual Edge AI Summit unites the technologists from around the world tasked with designing and developing real-world use cases that bring real-time and secure AI to low-power applications from the sensor-edge to device-edge, and to areas that have limited connectivity to the cloud.

See Expedera chief scientist Sharad Chole present at Embedded Vision Summit on Tuesday, May 17 at the Santa Clara Convention Center.

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Sharad Chole, chief scientist and co-founder at Expedera will present, “A Packet-based Approach for Optimal Neural Network Acceleration.” He will discuss how deep-learning accelerator architecture directly limits performance and how Expedera’s packet-based approach enables optimal results.

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Sharad Chole, chief scientist and co-founder of Expedera, will present at the Linley Spring Processor Conference, which will be held online on April 19-23, 2021. In a presentation titled, “Building a Neural Engine with Unrivaled IPS/W,” Chole will introduce an innovative neural engine architecture that can run neural network models natively to achieve scalable energy-efficient performance.

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