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.
Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...
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 ...
Abstract: Next generation consumer electronics powered education communication systems, integrating 6G networks, artificial intelligence, and immersive learning platforms, generate unprecedented ...
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 ...
NRG Energy (NRG) dropped 5.1% YTD despite controlling generation and 7 million retail customers as AI data center demand surges. NRG delivered 56% YoY earnings growth in Q3 with 64% ROE and acquired ...
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