Search Results - computational+machine

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Single-Cycle Processing-in-SRAM Logic Circuit Design
Traditional von-Neumann computing architectures, such as CPUs and GPUs, demonstrate limitations in memory bandwidth and energy efficiency. However, their high demand lies in their programmability and flexible functionality. Such platforms execute a wide spectrum of bit-wise logic and arithmetic operations. In this regard, recent application-specific...
Published: 2/13/2025   |   Inventor(s): Deliang Fan, Shaahin Angizi
Keywords(s): Algorithm Development, Circuits, Computational Machine, Computing Architecture, Electronics, Memory, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science
Masked-Based Learning Method for Neural Network Multiple Task Adaption
Nowadays, one practical limitation of deep neural networks (DNNs) is their high degree of specialization to a single task. This motivates researchers to develop algorithms that can adapt the DNN model to multiple tasks sequentially, while still performing well on past tasks. This process of gradually adapting the DNN model to learn from different...
Published: 2/13/2025   |   Inventor(s): Deliang Fan, Fan Zhang, Li Yang
Keywords(s): Algorithm Development, Computational Machine, Computing Architecture, Cyber-Physical System, Machine Learning, Neural Computing
Category(s): Computing & Information Technology, Physical Science
Fast and Efficient Max/Min Searching in DRAM
­In the era of big data, min/max searching from bulk data arrays is one of the most important and widely used fundamental operations in data-intensive applications such as sorting, ranking, bioinformatics, data mining, graph processing, and route planning. Online news and social media require real-time ranking using fast min/max searching from...
Published: 2/13/2025   |   Inventor(s): Deliang Fan, Fan Zhang, Shaahin Angizi
Keywords(s): Algorithm Development, Computational Machine, Computing Architecture, Data Center, Data Mining, Microprocessors, Processing
Category(s): Computing & Information Technology, Physical Science
Programmable In-Memory Computing Accelerator for Low-Precision Deep Neural Network Inference
­Background In the era of artificial intelligence, various deep neural networks (DNNs), such as multi-layer perceptron, convolutional neural networks, and recurrent neural networks, have emerged and achieved human-level performance in many recognition tasks. These DNNs usually require billions of multiply-and-accumulate (MAC) operations, soliciting...
Published: 2/13/2025   |   Inventor(s): Jae-Sun Seo, Shihui Yin, Mingoo Seok, Bo Zhang
Keywords(s): Artificial Intelligence, Circuits, Computational Machine, Electronics, Machine Learning
Category(s): Physical Science, Computing & Information Technology, Intelligence & Security