When AI-driven Instagram accounts are riding viral trends, the post talks about how AI-powered fake identities are reshaping trust, trends, and truth on social media.

The human microbiome is increasingly recognized as a key mediator of health and disease, yet translating microbial associations into actionable interventions remains challenging. This review ...

Abstract: Open transportation data is becoming more accessible, creating new opportunities for data-driven traffic simulation. However, transforming this data into a simulation-ready model is complex ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

The PALLAS simulation framework is a Geant4-based toolkit for modeling plasma-accelerated particle beams. It integrates traditional Monte Carlo methods with machine learning-based ONNX beam generation ...

Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Today, we’re proud to introduce Maia 200, a breakthrough inference accelerator engineered to dramatically improve the economics of AI token generation. Maia 200 is an AI inference powerhouse: an ...

Background: Recently, artificial intelligence (AI) has become a valuable tool for diagnosing and predicting outcomes in blood disorders. Whole Slide Imaging (WSI) of bone marrow biopsies (BMBs) offers ...

A popular California program designed to help people buy their first home is making a comeback. California's Dream For All program is reopening applications next month, offering down payment ...

Abstract: Machine learning has evolved from a lab curiosity to a widely used technology that is fundamentally reliant on ground truth data for model training and evaluation. This research addresses ...