Quantum-informed AI improves long-term turbulence forecasts while using far less memory

An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system ...
Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

OpenAI Says Codex Agents Are Autonomously Running Its Data Platform

Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress ...
Interesting Engineering

Breakthrough model helps robots learn unseen tasks, paves way for adaptive intelligence

New AI model enable robots to perform unseen tasks, hinting at a shift toward general-purpose robotic intelligence.
EurekAlert!

Teaching neural networks where errors matter

Physics-informed neural networks (PINNs) have shown remarkable prospects in solving forward and inverse problems involving ...

Diving off 'a skyscraper backwards': Artemis II astronauts describe their historic mission

Four Artemis II astronauts, fresh off a bold and risky mission that captured the hearts of a world in tumult, took questions ...
eLife

Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...
Scientific Research Publishing

Dimensionality Reduction Evaluation for Multivariate Quantum Data ()

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...
The Financial Express

Harvard launches 6 free online courses in AI, web development and programming: Check details inside

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.
Santa Clara University

HPC Machine Learning Tutorial

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...
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 ...