Tech Xplore

AI maps science papers to predict research trends two to three years ahead

The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even ...

Running local models on Macs gets faster with Ollama’s MLX support

Ollama, a runtime system for operating large language models on a local computer, has introduced support for Apple’s open ...

Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Ollama Now Runs Faster on Macs Thanks to Apple's MLX Framework

Ollama, the popular app for running AI models locally on a computer, has released an update that takes advantage of Apple's ...
Nuclear Engineering International

AI, uncertainty and fusion

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as ...
University of Surrey

Data-efficient and transferable machine learning-based predictive models for catastrophic risk assessment in offshore wind infrastructure

This industry-collaborative PhD project offers the opportunity to work at the intersection of machine learning, structural engineering and renewable energy to develop innovative and impactful ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
Scientific Research Publishing

Molnar, C. (2022) Interpretable Machine Learning. A Guide for Making Black Box Models Explainable, Self-Published.

ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...