Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...

Harness-1 suggests that the future of agentic AI lies in building better environments for models to work within, rather than ...

But AI is being used in these fields through techniques that researchers have studied for years and whose strengths and ...

Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...

Abdul Wahab Khan Panaji Findings from five decades of satellite data and Random Forest classification have revealed a 3.75 per cent reduction in Goa’s dense forest cover and a loss of nearly 200 ...

The turn of events following the announcement of the Commonwealth Short Story Prize last month has put the widespread use of ...

Here is a sneak peek at the evolution of the MLPerf benchmark and how generative AI forced a radical shift in AI hardware ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

The 12-month engagement, titled “Enhancing Pathology through Quantum Computing,” is funded through Avanza UC 2025, the Internal Research and Creation Competition of UC Chile. To the collaborators’ ...

Food waste is a nagging problem that weighs heavily on global food production, distribution and sales industries—but an ...

Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...