Code Metal Raises $125 Million to Rewrite the Defense Industry’s Code With AI

The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can’t come ...

A more accurate measure of calories burned: Model interprets leg motion as expended energy

Though it might feel great to finish a workout and see "calories burned" pop up on your smartwatch, that number is often surprisingly inaccurate, with estimated error rates of 30%–80%. The watch's ...

Reload wants to give your AI agents a shared memory

Reload announces a $2.275 million raise in a round led by Anthemis and the launch of its first AI employee, Epic.
InfoWorld

How to choose the best LLM using R and vitals

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
IEEE

Missing Data Imputation: A Systematic Comparison of Traditional, Machine Learning and Deep Learning Approaches

Abstract: The most important step in data processing is handling missing data. Missing data introduces bias and degrades machine learning's model performance. Traditional imputation techniques, such ...
IEEE

A Clause-Based Data Augmentation Method for Low-Resource Neural Machine Translation

Abstract: Transformer-based neural machine translation (NMT) systems have achieved remarkable success with high-resource bilingual corpora. However, their performance deteriorates significantly in low ...