Google Gemma 4 12B, released June 3, is an open-weight multimodal model that processes text, images, audio, and video in a ...

This is an implementation of a base64 stream encoding/decoding library in C99 with SIMD (AVX2, AVX512, NEON, AArch64/NEON, SSSE3, SSE4.1, SSE4.2, AVX) and OpenMP acceleration. It also contains wrapper ...

Abstract: Vehicle trajectory prediction is important for automated vehicles to understand driving scenarios. This paper proposes an encoder-decoder network-based parameterized transfer learning ...

Encoding is a process of transforming the data into different parameters to enhance its compatibility, usefulness, and to transmit it through various systems and applications. Therefore, the main ...

Note: If you are looking for a faster, more robust implementation for standart encodings, use the standard library. This library goal is to provide a flexible implementation for custom base-N ...

Threat actors have been observed concealing malicious code in images to deliver malware such as VIP Keylogger and 0bj3ctivity Stealer as part of separate campaigns. "In both campaigns, attackers hid ...

Base64 encoding is a common method to encode binary data into an ASCII string format, making it easier to transmit data over networks that only support text. This can include embedding image data in ...

Abstract: To develop an accurate segmentation model for the prostate and lesion area to help clinicians diagnose diseases, we propose a multi-encoder and decoder segmentation network, denoted ...

Scientists said they have found a way to use brain scans and artificial intelligence modelling to transcribe “the gist” of what people are thinking, in what was described as a step towards ...