Boardroom priorities are shifting from financial metrics toward technical oversight. Although market share and operational ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Background: Lung cancer diagnosis requires cost-effective biomarkers. Mitochondrial non-coding RNAs (mtRNAs) represent unexplored diagnostic targets. Methods: We analyzed TCGA-LUAD/LUSC miRNA-seq data ...

Abstract: Decentralized machine learning (DeML) has emerged as a promising paradigm that democratizes access to AI, and motivates a wide range of users to participate and benefit from its applications ...

What if the very skill that powers our digital world, coding, was at risk of becoming obsolete? With the rapid rise of artificial intelligence (AI) automating tasks once reserved for human programmers ...

Coding tools like Cursor or Devin are less about replacing software engineers than they are about increasing the number of software engineers. Going forward, writing code won’t be restricted to those ...

On a breezy San Francisco afternoon last Saturday, I found myself at a nondescript coworking space filled with shoeless coders. Just over a hundred visitors had crowded into an office building in the ...

Protein misfolding contributes to the development of numerous neurodegenerative and amyloid-related diseases, yet its structural characterization remains difficult due to the transient and ...

In this tutorial, we implement an advanced data pipeline using Dagster. We set up a custom CSV-based IOManager to persist assets, define partitioned daily data generation, and process synthetic sales ...

Using machine learning models that are generated from electronic medical records (EMRs) may be a promising approach to predict the risk of adverse maternal outcomes and enable proactive intervention ...