Sahaj Tushar Gandhi, a machine learning engineer specialising in computer vision and AI applications, works across academic ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to learn and update at different speeds.

Patients at primary care clinics received more dementia diagnoses after implementation of a machine-learning tool designed to ...

The deep learning market in drug discovery and diagnostics offers promising opportunities, driven by rising technology adoption, significant investments, and innovative solutions in healthcare. Key ...

SANTA CLARA, CA - November 24, 2025 - - Interview Kickstart, a U.S.-based upskilling platform for software and data ...

In this four-year PhD project, you will develop real-time machine-learning systems for the analysis of fluorescence-guided endoscopic videos. Your primary goal is to design and evaluate machine ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ...