At least mouse lives. Empa researchers have developed an AI-supported computer model of a mouse body that uses machine learning to predict how different nanomaterials are distributed in the mouse ...

Google is internally testing a suite of new AI models for Gemini Live, uncovered via a hidden selector in its app. Seven previously unknown voice AI options, including "Capybara" and "Nitrogen," ...

ABSTRACT: NILM (Nonintrusive Load Monitoring) or appliance recognition software that uses algorithms, namely Hidden Markov Model (HMM) and Factorial HMM, to detect changes in electricity values ...

Mythos has triggered emergency responses from central banks and intelligence agencies globally, as Anthropic decides who has access to the powerful model. Credit...Pablo Delcan Supported by By Paul ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, could help orthopedic physicians predict when a patient might encounter a bone ...

NILM (Nonintrusive Load Monitoring) or appliance recognition software that uses algorithms, namely Hidden Markov Model (HMM) and Factorial HMM, to detect changes in electricity values entering a ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at temperatures as high as ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

In this issue of PNAS, Cao et al. (6) extend these applications to detect the molecular underpinnings of phenotypic convergence by decoding patterns invisible to traditional sequence analysis ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Abstract: Physical Unclonable Functions (PUFs) are lightweight hardware security primitives suitable for resource-constrained Internet of Things(IoT) devices. The Arbiter PUF (APUF), as a classic ...