ZME Science

AI Is Writing Nearly a Third of All Software Code in the US as the Technology Takes Over Silicon Valley

In the United States, the share of new code written with AI assistance has skyrocketed from a mere 5% in 2022 to a staggering ...
Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
IEEE

Generation of Optimized Solidity Code for Machine Learning Models using LLMs

Abstract: In this paper, we propose LMST - an approach for Large Language Model (LLM) based conversion of the PyTorch code of an ML model into Solidity. Beyond mere correctness, we try to achieve gas ...
IEEE

Digital In-Memory Compute for Machine Learning Applications With Input and Model Security

Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...