Brazilian data and artificial intelligence consultancy startup Indicium today announced the launch of IndiMesh, a new ...

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...

To overcome these challenges, we propose MF-BERT, a novel framework that adapts the concept of BERT to motion forecasting, inspired by advancements in the self-supervised pre-training paradigm. During ...

This project is a clean fork of the original veRL project to support vision language models, we thank all the authors for providing such a high-performance RL training framework. EasyR1 is efficient ...

To address this issue, the DDL team proposed a new out-of-core (OOC) GNN training framework, Capsule, which provides a solution for large-scale GNN training. Unlike existing out-of-core GNN frameworks ...

On April 14, 2025, the National Institute of Standards and Technology (NIST) released a draft update to the NIST Privacy Framework 1.1. The ...

Forbes contributors publish independent expert analyses and insights. I cover emerging technologies with a focus on infrastructure and AI ...

NHS England has developed a Fit and Proper Person Test (FPPT) Framework in response to recommendations made by Tom Kark KC in his 2019 review of the FPPT (the Kark Review). This also takes into ...

While risk management is embedded in private sector governance, particularly within financial institutions, it remains ...