Nature

FPGA-Based Acceleration of Deep Learning Networks

Field programmable gate arrays (FPGAs) have emerged as flexible hardware platforms for accelerating deep learning networks, offering high energy efficiency, low latency and reconfigurable parallelism.
EDN

FPGA SDK enables sparse AI models

Version 3.0 of Microchip’s VectorBlox Accelerator SDK simplifies FPGA-based AI implementation by supporting sparse neural networks. Available free of charge, the VectorBlox SDK and associated ...
Nature

FPGA-Accelerated Object Detection with Deep Learning Techniques

Field-programmable gate arrays (FPGAs) have emerged as a vital class of reconfigurable hardware accelerators, offering a compelling balance of performance, power efficiency and flexibility for ...

Microchip Advances Neural Network Implementation with VectorBlox™ 3.0 Accelerator SDK

To better manage these challenges, Microchip Technology (Nasdaq: MCHP) has released the VectorBlox™ 3.0 Accelerator Software Development Kit (SDK) to help simplify FPGA‑based AI implementation and ...
Network World

Altera targets low-latency AI edge applications with new FPGA products

Agilex 3 FPGAs also support multi-arm robots with multi-axis arms by using machine learning capabilities. Agilex 3 FPGAs also support smart factory cameras to improve defect detection by using ...