Quantum researchers have deployed a new algorithm to manage noise in qubits in real time. The method can be applied to a wide ...

For both gray-scale and color image applications in an FPGA, we have implemented block truncation coding (BTC), a lossy image-compression algorithm with proven value in applications that don't require ...

Quantum researchers have deployed a new algorithm to manage noise in qubits in real time. The method can be applied to a wide range of different qubits, even in large numbers.  Noise is the "ghost in ...

Sorting. It’s a classic problem that’s been studied for decades, and it’s a great first step towards “thinking algorithmically.” Over the years, a handful of sorting algorithms have ...

FPGA vendors and independent tools vendors provide FPGA development tools that help bridge this gap between an intuitive algorithm description and an optimized implementation. Most of these tools rely ...

Perhaps the most interesting this is that Intel is very keep on using FPGAs to accelerate machine learning workloads, particularly for inferencing, and it will be putting out its own preconfigured ...

Field-programmable gate arrays (FPGAs) offer a unique platform for the implementation of high-performance sorting algorithms by combining inherent parallelism with customisable hardware ...

Using the FPGA development kit, customers can develop their FPGA algorithms and logic for VMETRO's customer-programmable FPGA products.

In this paper, the authors present Scale Invariant Feature Transform (SIFT) implementation using system generator used for object recognition. The ...