Artificial intelligence

An AI-driven conversational assistant aims to bring new forms of companionship and emotional support to people living with cognitive decline.

An AI-based framework adds a personal touch to medical dialogues, supporting the health management plans of patients with diabetes.

Computational models offer an AI boost to logistics planners by identifying the most efficient transport routes through cross-problem learning.

An innovative AI tool uses patient data to generate individualised treatment recommendations to support clinicians in managing type 2 diabetes.

A new benchmark for multilingual artificial intelligence tackles biases and inconsistencies to foster more inclusive global communication.

A new artificial intelligence tool helps scientists uncover how cells communicate within tissues, paving the way for more targeted treatments for diseases like cancer.

A*STAR researchers develop machine learning models that quickly and accurately simulate chemical reactions involving complex liquid interactions.

Drawing together artificial intelligence, robotics and medicine, Gaurav Manek is developing advanced microscopes that can help guide surgeons minimise tissue removal during operations, aiding the recovery process.

A novel machine learning framework efficiently detects small objects in images, potentially boosting computer vision technologies such as self-driving vehicles and remote sensing.

A new machine learning method enables smaller models to understand and replicate complex relationships within large networks.

Researchers teach artificial intelligence systems how to process information by mimicking human introspection.

Using novel dual-layered memristor designs, researchers solve processing speed and reliability issues faced by a promising new class of computing devices.