Microsoft

CTI-REALM: A new benchmark for end-to-end detection rule generation with AI agents

CTI-REALM is Microsoft’s open-source benchmark that evaluates AI agents on real-world detection engineering. It measures whether an agent can take cyber threat intelligence (CTI) and produce validated ...

Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.
IEEE

Performance Analysis of Machine Learning Models in Network Intrusion Detection Systems

Abstract: Networks plays a vital role in modern society and cyber security has become a critical area that needs to be acknowledged. A crucial part of cybersecurity frameworks intended to track ...
IEEE

VPDNet: Virtual Point Density-Aware Network for Multimodal 3-D Object Detection

Abstract: LiDAR has become a prevalent sensor for 3-D object detection in autonomous driving. However, the sparse and irregular nature of point cloud data obtained from LiDAR necessitates the adoption ...
IEEE

Generative Artificial Intelligence on Edge Devices: Models, Hardware, and Systems: A tutorial

Abstract: Generative artificial intelligence (GenAI) refers to the use of neural networks to produce new output data, which could be in the form of text, image, audio, video, or other modalities.
IEEE

Topology Guided Network Clustering and Allocation of Edge Estimation Points for Monitoring of Distribution Networks

Abstract: Managing extensive measurement sets in the power system for state estimation (SE) leads to communication burden and delays. To address the above challenge, this paper explores the concept of ...
GitHub

[CVPR 2025] UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting

UniPre3D is the first unified pre-training method for 3D point clouds that effectively handles both object- and scene-level data through cross-modal Gaussian splatting. Our proposed pre-training task ...
IEEE

Model Predictive Current Control With Adaptive Neural Network-Based Sliding Mode Observer for IPMSM

Abstract: This study presents a novel model predictive current control (MPCC) strategy for an interior permanent magnet synchronous motor (IPMSM) drive. The proposed MPCC integrates a sliding mode ...
Reuters

OpenAI reaches deal to deploy AI models on U.S. Department of War classified network

Feb 27 (Reuters) - OpenAI CEO Sam Altman said on Friday it has reached an agreement with the U.S. Department of War to deploy its AI models on classified cloud networks. "In all of our interactions, ...
IEEE

DeepBHMR: Learning Bidirectional Hybrid Mixture Models for Generalized Global Rigid Point Set Registration in Computer-Assisted Orthopedic Surgery

Abstract: This paper presents a novel robust and accurate normal-assisted learning-based rigid point set registration approach, i.e., Deep Bi-directional Hybrid Mixture Registration (DeepBHMR), where ...
IEEE

TripletA-Net: A Deep Learning Model for Automatic Railway Track Extraction from Airborne LiDAR Point Clouds

Abstract: With the rapid expansion of global railway networks, the demand for efficient railway operation and maintenance has grown significantly. This shift has underscored the need for automated and ...
IEEE

A Semantic Segmentation Network for ALS Point Clouds Considering Geographic Location and Feature Interaction

Abstract: The airborne LiDAR scanning technology is widely used in various fields due to its ability to quickly acquire geospatial features. As a crucial step in data applications, the automatic ...