Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

In the field of additive manufacturing (AM), cellular automata (CA) is extensively used to simulate microstructural evolution during solidification. However, while traditional CA approaches are ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Due to their error-prone hardware, quantum computers have not yet found practical use. One promising solution is quantum error correction: special methods are used to find and correct errors in the ...

The Principal Enterprise Architect of Quantum Nexus AI Inc, responsible for delivering efficiency improvements up to 40%, details his methodology for scaling AI ...

Nutshell reports that ethical AI practices in sales build customer trust through transparency, human oversight, and ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Bid shading is an algorithmic technique that reduces bid prices in first-price auctions to avoid overpaying while maintaining competitive win rates. Instead of bidding your true valuation for an ad ...

This is an implementation of the Karatsuba polynomial multiplication algorithm in the LEGv8 assembly language, a RISC ISA part of the ARM architecture family. This was done as my final project for ECE ...

In this tutorial, we will discover how to harness the power of an advanced AI Agent, augmented with both Python execution and result-validation capabilities, to tackle complex computational tasks. By ...