Bhubaneswar: In a major push for transparency, efficiency and technology-driven governance, the Works Department Wednesday ...
A Solutions Architect explores the harsh realities of de-identifying sensitive data by creating custom scripts, including the ...
Google’s artificial intelligence research laboratory where AlphaFold was developed—has officially released a new machine ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
The RFI outlines a broad and technically ambitious vision for how Special Operations Forces collect, analyze, and exploit identity-related data during missions.
The Daily Galaxy on MSN
Artificial intelligence reveals fingerprints aren’t truly unique, debunking 100 years of forensic science
Forensic science has long held that fingerprints are singular identifiers, unique to each finger and each individual. This assumption has formed the backbone of global law enforcement, identity ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Abstract: The rapid increase in cyber threats has heightened the demand for Intrusion Detection Systems (IDS) that are both accurate and efficient. While deep learning models outperform traditional ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Welcome to the L2M repository! This is the official implementation of our ICCV'25 paper titled "Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space". To enable training from single ...
Single-cell analyses have emerged as powerful tools for studying cellular heterogeneity and gene regulation. Single-cell chromatin accessibility sequencing (scCAS) is a key technology that enables the ...
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