AI framework fuses data and literature to speed high-entropy alloy discovery

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
The Guardian Nigeria

From edge devices to enterprise security, an engineer’s vision for trustworthy machine learning is setting new benchmarks

As AI models migrate from secure data centers to exposed edge devices, a new threat vector has emerged: model theft. Popat identified this vulnerability early, pioneering a novel defense mechanism ...

Google fears massive attempt to clone Gemini AI through model extraction

The company identified over 100,000 prompts it suspects were intended to extract proprietary reasoning capabilities.
IEEE

Application of Evolutionary Algorithms to Enhance the Efficiency of Neural Networks and Machine Learning Algorithms

Abstract: This study examines approaches to hyperparameter optimization in machine learning and deep learning systems using genetic algorithms. Today, the success of neural networks and machine ...
Our Culture Mag on MSN

Shrikrishna Joisa on founding 'AskCupid,' the AI dating coach

Digital romance has become the norm. According to the Pew Research Center, roughly 23% to 30% of U.S. adults currently use or ...

AI can predict your future salary based on your photo, boffins claim

Academics claim that personality traits inferred using AI photo analysis can predict how depicted individuals will fare in ...
IEEE

Machine-Learning-Based Urban Path Loss Prediction at 900 MHz: Principal Component Analysis, Clustering, Feature Importance and Regression

Abstract: In this work, the possibility of applying machine learning (ML) techniques to analyze and predict radio wave propagation losses in urban environments is explored. Thus, from a measurement ...