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 ...

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 ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

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 ...

Researchers in Taiwan demonstrate that installing solar panels above clam ponds can simultaneously support aquaculture and renewable energy under increasing climate stress. Using real-world farm data, ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

A new study reveals how advanced carbon based nanofluids could significantly improve heat transfer in technologies ranging from microelectronics to ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...