As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the ...

Large language models (LLMs) have evolved significantly. What started as simple text generation and translation tools are now being used in research, decision-making, and complex problem-solving. A ...

As machine learning and algorithms evolve, the fund management industry will likely shift toward a hybrid model, combining the strengths of humans and machines.

Announcing a new publication for Acta Materia Medica journal. The binding affinity of aptamers to targets has a crucial role in the pharmaceutical and biosensing effects. Despite diverse ...

Santhosh Kumar Shankarappa Gotur's systematic approach to performance testing and optimization provides a robust framework ...

Jaspreet Kumar's systematic framework redefines mobile application security by integrating robust measures across the ...

Findings from a large-scale review indicate certain medications may influence dementia risk, offering insights for prevention ...

Questions is a periodic feature produced by Cornerstone Research, which asks our affiliated experts, senior advisors, and professionals to ...

Contributors Erica Werneman Root, Monica Mahay and Hatla Færch Johnsen describe the process of designing a comprehensive AI ...

‘Data-driven discovery of associations between prescribed drugs and dementia risk: A systematic review’ by Benjamin R. Underwood et al. was published in Alzheimer’s and Dementia: Translational ...