A*STAR Institute for Infocomm Research (A*STAR I²R)

A new framework to train artificial intelligence models draws on concepts from game theory to improve model stability and performance.

At A*STAR, precision medicine and population health are bridging disciplines to shed new light on facets of human development and well-being, enabling targeted early interventions to enhance the healthspans of Asian populations.

A new attribute-based approach to object detection helps visual artificial intelligence models spot unknown objects more accurately and efficiently.

Through a blend of simulation, machine learning and advanced data analytics, digital twins are emerging as one of AI’s most powerful applications, transforming innovation cycles across a diverse range of industries.

A new comprehensive benchmark for audio-based artificial intelligence allows researchers to gauge and improve the way models follow speech, soundscapes and everyday cues.

By adding rewards for logical reasoning steps, a new training framework aims to make large language models more robust and reliable.

A consistent rulebook of prompts could be the key to advancing artificial intelligence models, enhancing their image classification performance even when dealing with unknown objects.

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

A new framework aligns data from multiple sensors across time, boosting the accuracy of machine failure predictions.

As artificial intelligence and other digital innovations continue to reshape the internet landscape, A*STAR is accelerating efforts to combat a new wave of safety risks from harmful online content and cyberattacks.

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.