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

AI stock and data center leader Amphenol is breaking out today in heavy volume, as the stock market cut early losses Monday.

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 ...

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

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

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 ...

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 ...

Wall Street's savviest money managers are shunning high-flying quantum computing pure-play stocks in favor of a cash-rich, industry-leading company that has a laundry list of competitive advantages.

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 ...

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 ...

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 ...

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 ...