AlphaGalileo

An approach for detecting encrypted malware traffic via fully convolutional masked autoencoders

Cybersecurity has always been the focus of Internet research. Malware refers to software intentionally designed to harm computer systems, networks, ...
Inavate

WyreStorm targets broader deployments with new 4K60 SDVoE encoder/decoder

TX/RX, a new SDVoE-based encoder and decoder pair designed to deliver full-performance AV over IP at a lower cost.The lau ...
CNX Software

IP67-rated AI security camera feature Rockchip RV1126B or RK3576/J/M SoC for commercial, industrial, and automotive applications

Back in January 2024, Firefly released the CT36L AI smart security cameras, built around the Rockchip RV1106G2 SoC with a 0.5 ...
IEEE

WCEDNet: A Weighted Cascaded Encoder–Decoder Network for Hyperspectral Change Detection Based on Spatial–Spectral Difference Features

Abstract: The core of hyperspectral change detection lies in accurately capturing spectral feature differences across different temporal phases to determine whether surface objects have changed. Since ...
eLife

Modality-agnostic decoding of vision and language from fMRI

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

Synamedia updates Quortex PowerVu to accelerate IP-based distribution

Synamedia is rolling out an updated version of its Quortex PowerVu platform to position it as a reliable, low-cost alternative to satellite delivery.— This story first appears at TheDesk.net, a ...
GitHub

Tiny AutoEncoder for Hunyuan Video

TAEHV is a Tiny AutoEncoder for Hunyuan Video (and other similar video models). TAEHV can encode and decode latents into videos more cheaply (in time & memory) than the full-size video VAEs, at the ...
IEEE

FPGA Design and Implementation of BCH Encoders and Decoders Using Pipelined Architecture for High Throughput Applications

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 ...
GitHub

vector_plus_studio_v83.py

bad for exact data). Solution: hybrid recall - read text BEFORE settle. Based on test_text_in_lattice.py proof-of-concept (2026-02-01).