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.

Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores ...

In mid-2023, around the time Elon Musk rebranded Twitter as X but before he discontinued free academic access to the platform ...

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 ...

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.

We asked technology leaders in education for their predictions on how the tech landscape will change for schools and ...

The field of infectious disease epidemiology is continually challenged by the emergence and re-emergence of pathogens, which ...

Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...