AI PCs to gain speed, cut cloud costs — and help workers upskill

Enterprise users are still trying to figure out how to get the most from AI PCs, but specialized hardware and enabling ...
IEEE

Quantum Computing Circuit Design: A Tutorial

Abstract: Recent advancements in computing speed and capacity of Artificial Intelligence (AI) algorithms have reached a saturation level in performance due to the continuous application of Moore's law ...
IEEE

Quantum Computing Through the Lens of Control: A Tutorial Introduction

Abstract: Quantum computing is a fascinating interdisciplinary research field that promises to revolutionize computing by efficiently solving previously intractable problems. Recent years have seen ...

Budget 2026 puts India’s data centre backbone at the centre of its AI ambitions

India's ambition of becoming a leading global player in artificial intelligence needs a strong policy push in data centre ...
IEEE

A Novel Program-verify Free and Low Drift Multilevel Operation on Cross-point OTS-PCM for In-Memory Computing Application

Abstract: We present a novel multi-level operation using multi cells on a cross-point OTS-PCM array with no need for program-verify scheme for the first time. This method can provide not only program ...
IEEE

Self-Supervised Point Cloud Prediction for Autonomous Driving

Abstract: Pose prediction and trajectory forecasting represent pivotal tasks in the realm of autonomous driving, crucially enhancing the planning and decision-making capabilities of self-driving ...
IEEE

SCREAM: SCene REndering Adversarial Model for Low-and-Non-Overlap Point Cloud Registration

Abstract: Recent learning-based models excel in point cloud registration for low-overlap scenes but falter in scenarios with minimal overlap. In this article, we propose a novel method to address the ...
IEEE

PointGT: A Method for Point-Cloud Classification and Segmentation Based on Local Geometric Transformation

Abstract: Recently, three-dimensional (3D) point-cloud analysis has been extensively utilized in the domain of machine vision, encompassing tasks include shape classification and segmentation. However ...
IEEE

Point Cloud-Based Control Barrier Function Regression for Safe and Efficient Vision-Based Control

Safety-critical systems are all around us in the modern world, from autonomous cars to aerial systems. In recent years, Control Barrier Functions (CBFs) [1] have proven to be a versatile method for ...
IEEE

Mixed-Precision Neural Architecture Search and Dynamic Split Point Selection for Split Computing

Abstract: Split computing (SC) is an emerging technique to perform the inference task of deep neural network (DNN) models using both mobile devices and cloud/edge servers in a hybrid manner. To ...
IEEE

Robust Point Cloud Registration in Robotic Inspection With Locally Consistent Gaussian Mixture Model

Abstract: In robotic inspection of aviation parts, achieving accurate pairwise point cloud registration between scanned and model data is essential. However, noise and outliers generated in robotic ...
IEEE

BFP-CIM: Data-Free Quantization with Dynamic Block-Floating-Point Arithmetic for Energy-Efficient Computing-In-Memory-based Accelerator

Abstract: Convolutional neural networks (CNNs) are known for their exceptional performance in various applications; however, their energy consumption during inference can be substantial. Analog ...