How Supercomputing Enhances Our Understanding of the Universe. The computers we use for our personal or professional work are smart and do almost every task. But they cannot solve mysteries …
Heterogeneous Computing with CMOS and Stochastic Nanomagnets for Probabilistic Inference and Learning. Expanding Moore’s law by augmenting complementary-metal-oxide-semiconductor (CMOS) transistors with emerging nanotechnologies (X) has become increasingly significant. One vital …
Spike-Based Dynamic Computing with an Asynchronous Neuromorphic Sensing-Computing Chip: A spike is a type of work done by a team to gather information and determine what is required to reduce …
Edge Computing in Ubiquitous Power IoT: Applications, Architecture, and Challenges. The Ubiquitous Power Internet of Things (UPIoT) is a concrete manifestation of the Internet of Things (IoT) in the power …
Exploring Quantum Computing for Net-Zero Power System Optimization: In the context of IE, QC can revolutionize areas such as optimization, manufacturing process simulations, and energy-efficient production systems. Breakthroughs in quantum …
If you also wish to gain knowledge on how Optimizing Virtual Network Function Deployment with Graph Neural Networks, is implemented then this post is for you. Optimizing Virtual Network Function …
A High-Performance Multi-Level Cascaded Recurrent Network for Stereo Matching: This paper proposes a fast and accurate multi-level cascaded recurrent stereo matching network. The unique multi-level recurrent cascaded iterative architecture obtains …