Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
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.
The Department of Energy (DOE) has released detailed technical specifications for 26 artificial intelligence (AI) challenges ...
Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores ...
Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to ...
Keysight SOS is a powerful data management platform that facilitates AI-powered chip design workflows and AI accelerator ...
In mid-2023, around the time Elon Musk rebranded Twitter as X but before he discontinued free academic access to the platform’s data, my colleagues and I looked for signs of social bot accounts ...
In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...
This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...
NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results