Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

Deep learning has emerged as the dominant driver of anti-spoofing accuracy. Techniques like MobileFaceNet integrated with ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

These systems depend heavily on data annotation to train AI/ML models that enable real-time perception and decision-making. Raw data is collected from a suite of sensors, including LiDAR, radar, ...

FEMI, an AI model for IVF, uses 18 million images to improve embryo assessment, offering a non-invasive, cost-effective ...

Explore the AI vs. human intelligence comparison with the latest data. See where AI leads, where humans excel, and how the gap is closing fast.

In the case of flooding, human remains may be tangled among vegetation and debris. Therefore, a system could identify clumps of debris big enough to contain remains. A common search strategy is to ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

Next-generation optical inspection is about more than just sensitivity. It’s about reliably seeing through complexity.

We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

GIS enables spatial mapping of climate vulnerability, helping policymakers and researchers visualize hazard zones and plan targeted interventions. It supports complex simulations of land-use change ...