Xilinx SoCs and FPGAs provide significant advantages in throughput, latency, and energy efficiency for production deployments of compute-intensive applications when compared to CPUs and GPUs. Over the last decade, FPGAs have evolved into highly configurable devices that provide on-chip heterogeneous […]
The use of deep learning for automatic seismic data interpretation is gaining the attention of many researchers across the oil and gas industry. The integration of high-performance computing (HPC) AI workflows in seismic data interpretation brings the challenge of moving […]
Edge applications have tough, widely varying requirements. We’ll share lessons learned from three real-world applications in which Hailo’s deep learning processor is being used to implement deep learning. First, we’ll examine a video analytics use case, where multiple video streams […]
Cameras coupled with AI can solve numerous real-world problems. But developing an AI camera solution can be a complex and time-consuming undertaking, especially for teams that lack experience in topics like training deep neural networks. IDS Imaging Development Systems, a […]
As demand for smarter and more efficient manufacturing is growing, IoT technologies—including sensors, edge devices, gateways, servers and the cloud—are being used throughout the factory to compute deep learning analytics workloads at the appropriate location. Efficient data-driven manufacturing can help […]
In this presentation, we will look at how performance is measured among deep learning inference platforms, starting with the simple peak TOPS metric, why it’s used and why it might be misleading. We will look at compute efficiency as measured […]
With ever-increasing amounts of video and other sensor data, and growing requirements for privacy and low latency, inferencing at the edge is increasingly attractive. But there are many ways to allocate and coordinate computing resources for edge inferencing. For example, […]
In this talk, we’ll present the full range of Cadence Tensilica edge AI processing solutions. These silicon IP-based solutions serve markets from low-cost voice-activated consumer devices to high-throughput autonomous vehicle perception. They are widely deployed in high-volume AI-enabled end products […]
To date, people seeking to deploy machine learning-based inference within consumer electronics have had only two choices, both unattractive. The first option entails transmitting voluminous raw data, such as video, to the cloud, potentially violating customers’ privacy, tempting hackers, and […]
We present a set of machine-learning-based perception solutions that we implemented on a tiny (5.4 mm2 package), low-power FPGA. These solutions include hand gesture classification, human detection and counting, local face identification, location feature extraction, front-facing human detection and shoulder […]
