Algorithms & Models

Qualcomm at CVPR 2023: Advancing Research and Bringing Generative AI to the Edge

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. ControlNet running entirely on device, fitness coaching with an LLM, 3D reconstruction for XR, our accepted papers and much more The annual IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) is regarded as one of the […]

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“Battery-powered Edge AI Sensing: A Case Study Implementing Low-power, Always-on Capability,” a Presentation from Avnet

Peter Fenn, Director of the Advanced Applications Group at Avnet, presents the “Battery-powered Edge AI Sensing: A Case Study Implementing Low-power, Always-on Capability” tutorial at the May 2023 Embedded Vision Summit. The trend of pushing AI/ML capabilities to the edge brings design challenges around the need to combine high-performance computing (for AI/ML algorithms) with low

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“Sparking the Next Generation of Arm-based Cloud-native Smart Camera Designs,” a Presentation from Arm

Stephen Su, Senior Product Manager at Arm, presents the “Sparking the Next Generation of Arm-based Cloud-native Smart Camera Designs” tutorial at the May 2023 Embedded Vision Summit. As enterprises and consumers increasingly adopt machine learning-enabled smart cameras, the expectations of these end users are becoming more sophisticated. In particular, smart camera users increasingly expect their

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“Processing Raw Images Efficiently on the MAX78000 Neural Network Accelerator,” a Presentation from Analog Devices

Gorkem Ulkar, Principal ML Engineer at Analog Devices, presents the “Processing Raw Images Efficiently on the MAX78000 Neural Network Accelerator” tutorial at the May 2023 Embedded Vision Summit. In this talk, Ulkar presents alternative and more efficient methods of processing raw camera images using neural network accelerators. He begins by introducing Analog Devices’ convolutional neural

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“Five Things You Might Overlook on Your Next Vision-enabled Product Design,” a Presentation from BDTI

Phil Lapsley, Co-founder and Vice President of BDTI, presents the “Five Things You Might Overlook on Your Next Vision-enabled Product Design” tutorial at the May 2023 Embedded Vision Summit. When you think about building a vision-enabled product, you probably think about things like: Which processor am I going to use? What neural network will it

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“Develop Next-gen Camera Apps Using Snapdragon Computer Vision Technologies,” a Presentation from Qualcomm

Judd Heape, VP of Product Management for Camera, Computer Vision and Video Technology at Qualcomm Technologies, presents the “Develop Next-gen Camera Apps Using Snapdragon Computer Vision Technologies” tutorial at the May 2023 Embedded Vision Summit. The Qualcomm Snapdragon mobile platform powers the world’s best smartphones, XR headsets, PCs, wearables, automobiles and IoT products. These devices

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“Accelerating Newer ML Models Using the Qualcomm AI Stack,” a Presentation from Qualcomm

Vinesh Sukumar, Senior Director and Head of AI/ML Product Management at Qualcomm Technologies, presents the “Accelerating Newer ML Models Using the Qualcomm AI Stack” tutorial at the May 2023 Embedded Vision Summit. The Qualcomm AI Stack revolutionizes how Qualcomm thinks about AI software and provides the ultimate tool and user interface to enable ecosystem partners

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BrainChip Examines New Approach to Optimizing Time-series Data

Laguna Hills, Calif. – June11, 2023 – A new white paper by BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, unveils Temporal Event-based Neural Networks (TENNs) – an innovative way to bring greater accuracy and efficiency to complex models on

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“State-of-the-art Model Quantization and Optimization for Efficient Edge AI,” a Presentation from DEEPX

Hyunjin Kim, Senior Staff Engineer at DEEPX, presents the “State-of-the-art Model Quantization and Optimization for Efficient Edge AI” tutorial at the May 2023 Embedded Vision Summit. Extremely efficient edge AI requires more than efficient processors; it also requires tools capable of generating superefficient software. In this talk, Kim explains and demonstrates how DEEPX’s DXNN SDK

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“Toward the Era of AI Everywhere,” a Presentation from DEEPX

Lokwon Kim, CEO of DEEPX, presents the “Toward the Era of AI Everywhere” tutorial at the May 2023 Embedded Vision Summit. Over the past decade, deep neural networks have proven they can solve a wide range of visual perception problems. Semiconductor companies have invested billions of dollars in developing edge AI processors for deep learning.

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