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 ...
In recent years, significant attention has been paid to the identification of individual genomic characteristics, particularly with the growing focus on personalized therapy across various research ...
The multibillion-dollar deal shows how the growing importance of inference is changing the way AI data centers are designed and operated. OpenAI has signed a multibillion-dollar agreement to buy ...
A new technical paper titled “MultiVic: A Time-Predictable RISC-V Multi-Core Processor Optimized for Neural Network Inference” was published by researchers at FZI Research Center for Information ...
This project implements a comprehensive Fuzzy Bayesian Network (FBN) system that combines fuzzy logic with probabilistic reasoning for advanced cybersecurity risk assessment. The system handles ...
Abstract: Bayesian Neural Networks (BNNs) offer robust uncertainty estimation capabilities through probabilistic modeling, yet their prohibitively high computational complexity and resource ...
Artificial intelligence computing infrastructure startup d-Matrix Corp. today unveiled a custom network card named JetStream designed from the ground up to support high-speed, ultra-low-latency AI ...
The artificial intelligence investment landscape reached a critical inflection point in Q2 2025, with the ROBO Global Artificial Intelligence Index (THNQ) delivering exceptional returns of 24.4%, ...
Gut bacteria are known to be a key factor in many health-related concerns. However, the number and variety of them is vast, as are the ways in which they interact with the body's chemistry and each ...
Anomaly response in aerospace systems increasingly relies on multi-model analysis in digital twins to replicate the system’s behaviors and inform decisions. However, computer model calibration methods ...
Artificial intelligence (AI) relies on vast amounts of data. Enterprises that take on AI projects, especially for large language models (LLMs) and generative AI (GenAI), need to capture large volumes ...
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