OPSWAT Launches AI-Native Pre-Execution Detection Engine for MetaDefender Platform

The new OPSWAT Predictive Alin AI engine prioritizes near-zero false positives to enable immediate, confident action in operationally sensitive environments.
TMCnet

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Three-Dimensional Object Technology for Multi-Channel Quantum Convolutional Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a forward-looking technological achievement: the hybrid quantum-classical three-dimensional ...

What Banks Should Know About Emerging Deepfake Detection Frameworks

Financial institutions are rexamining how to manage emerging fraud risks, and deepfake-enabled identity fraud can be particularly complex.
EDN

Why ISO/PAS 8800 is the new blueprint for AI safety in all critical industries

ISO/PAS 8800, focused on safety of AI applications in road vehicles, can also serve engineers in medical, industrial, rail, ...
Frontiers

YOLOv8-FOD: a lightweight foreign object detection algorithm for power transmission lines

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...
IEEE

Visual Pathway-Inspired Spiking Preprocessing Module for Event-Based Object Detection

Abstract: Event-based vision sensors produce sparse, asynchronous event streams that are naturally compatible with Spiking Neural Networks (SNNs) for low-power and high-speed perception. However, the ...
IEEE

Object Detection Data Synthesis via Box-to-Image Generation Based on Diffusion Models

Abstract: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...
Scientific Research Publishing

Salvador, G., Luengo, J. and Herrera, F. (2015) Data Preprocessing in Data Mining. Springer.

ABSTRACT: Machine learning-based weather forecasting models are of paramount importance for almost all sectors of human activity. However, incorrect weather forecasts can have serious consequences on ...
InfoQ

Training Data Preprocessing for Text-to-Video Models

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...
GitHub

S3OD: Towards Generalizable Salient Object Detection with Synthetic Data

S3OD is a large-scale fully synthetic dataset for salient object detection and background removal, with 140K high-quality images generated using diffusion models. Our model, trained on large-scale ...
Frontiers

Leveraging real-world data for safety signal detection and risk management in pre- and post-market settings

The evolving regulatory landscape has increasingly recognized the value of real-world data (RWD) in enhancing drug safety surveillance across the clinical development lifecycle. Enabled by frameworks ...