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AI models stumble on basic multiplication without special training methods, study finds
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated reasoning. But when it comes to four-digit multiplication, a task taught in ...
Abstract: Subarraying techniques are promising for achieving performance and cost tradeoffs in the design of a hybrid analog–digital array. However, previous approaches have paid little attention to ...
Abstract: The cost of software testing is a significant aspect of the software development life cycle, typically accounting for half of the total software production cost. Due to the large number of ...
This project implements an 8x8 systolic array for high-performance matrix multiplication, leveraging a parallel processing architecture optimized for efficiency and scalability. The workflow spans RTL ...
This repository contains the complete implementation of two deep learning models developed during an internship at CSIR-CSIO, Chandigarh, for three-dimensional Direction of Arrival (DoA) estimation ...
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