AI in pharma has the potential to overhaul drug discovery, clinical trials, manufacturing, and marketing by analysing vast datasets to speed up processes, reduce costs, and enable personalised ...

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

The 2,500 questions that make up the exam are specifically designed to probe the outer limits of what today’s AI systems cannot do.

Optical AI is revolutionizing sensor technology, integrating sensing and processing for efficient, low-power intelligent ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...

Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...