Abstract: The process of automatically generating descriptive captions for images has become an increasingly important research area that lies at the intersection of computer vision and natural ...

Hack the airwaves with some of the best tech of the 1980s ...

Flexible, power-efficient AI acceleration enables enterprises to deploy advanced workloads without disrupting existing data ...

This article presents a practical implementation of encrypted message exchange between two Raspberry Pi devices using a ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

This paper presents the design and FPGA implementation of a high-throughput BCH (n,k) encoder and decoder using a fully pipelined architecture. Unlike conventional designs based on finite state ...

Running powerful AI on your smartphone isn’t just a hardware problem — it’s a model architecture problem. Most state-of-the-art vision encoders are enormous, and when you trim them down to fit on an ...

This module has been developed for quickly interface a rotary encoder with Raspberry Pi. It's based on the pigpio library (cause it proved to be faster than rpi.GPIO or gpiozero libraries) so you need ...

The following results were collected using the benchmarks directory in this repository. The documents tested are real-world messages collected from the Archipelago client. Benchmark environment: ...