In the world of high finance, companies are hedging their bets on artificial intelligence (AI). Indeed, AI has already been ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

The industry needs a framework to address the opportunities and challenges associated with deep learning. At the NVIDIA GPU Technology Conference (GTC) 2018, Jensen Huang, NVIDIA President and CEO, ...

After almost a decade of hands-on workshops and ongoing research, educators share the power of digital storytelling as an ...

The framework models the complex mechanical behavior of spinodal microstructures by combining submicron 3D printing, in-situ electron microscopy testing, and deep learning. It accurately captures ...

Cloud-assisted Internet of Things (IoT) device deployment of deep neural networks (DNNs) promotes On-device deep learning to provide users with ubiquitous high-quality services by solving the ...

Now, researchers from Japan have developed STAIG, a deep-learning framework that integrates gene expression, spatial data, and histological images to identify tissue regions with high accuracy.

This study, published online in Nature Communications on January 27, 2025, introduces the STAIG framework, which integrates gene expression, spatial data, and histological images without the need ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. TensorFlow is an open source machine learning framework developed by Google, designed to ...

We’re confident that sensorimotor learning will be core to AI and want to foster an active research community and exchange around this innovative approach to AI.” A New, Open-Source AI Framework ...

sChemNET is a deep learning framework designed to predict drug targets for small chemical datasets, specifically focusing on small molecules that affect miRNAs and their biological targets. Combining ...