Lattice Crosslink-NX: Embedded Vision Processing at the Edge

Lattice Semiconductor created the CrossLinkPlus family of specialized, small-footprint, low-power FPGAs to address the latest trends in video processing: mixing multiple sensors and displays, higher resolution video, multiple interfaces, and Edge AI processing. Many of these intelligent Edge devices use image sensors to support various embedded vision applications and include AI/ML-driven applications such as object...

The 2nd Generation AMD EPYC Processor Redefines Data Center Economics

The last time AMD disrupted the data center was with the introduction of the 64-bit Opteron processor back in 2004. Then in July 2017 AMD launched its EPYC processor that began the next revolution in processor and data center design. The first generation EPYC processor offered more cores, more bandwidth, and more I/O than a...

AV Simulation Extends to Silicon – Designing Custom SoCs for Future Autonomous Vehicles

Technology advancements are leading to complex mechatronic systems capable of interacting with the physical world through advanced sensor technology and artificial intelligence (AI). These systems are capable of functions ranging from basic tasks up to complete autonomous operation, and they can perform these tasks as well or better than humans. However, designing, training, verifying, and...

NVIDIA PLASTER

NVIDIA PLASTER Deep Learning Framework

“PLASTER” encompasses seven major challenges for delivering AI-based services: Programmability, Latency, Accuracy, Size of Model, Throughput, Energy Efficiency, Rate of Learning. This paper explores each of these AI challenges in the context of NVIDIA’s deep learning (DL) solutions.