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 ...
Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.
Precision Simulation's FEATool Multiphysics v. 1.18 provides one-click export functionality and automatic conversion of ...
Robots are rapidly moving beyond pre-programmed automation into a new era of adaptive, learning-driven autonomy. At the center of this ...
Autonomous robots are moving beyond scripted motions and narrow task automation into a new era of adaptable, ...
Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores ...
NTN announced that it has integrated machine learning technology into its automated calculation system used for designing 3rd‑generation hub bearings, marking the first use of this approach in the ...
Keysight SOS is a powerful data management platform that facilitates AI-powered chip design workflows and AI accelerator ...
Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to ...
AZoSensors on MSN
Low-Power Sensor Node Brings Machine Learning to the Edge of Environmental Monitoring
A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
Machine learning added to NTN’s ABICS system reduces simulation time by more than 90 percent and automates dimension optimization for third-generation hub bearings, the company says.
NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.
一些您可能无法访问的结果已被隐去。
显示无法访问的结果