Artificial intelligence

Nanopore sequencing and a self-enhancing AI model team up to enable a faster and more accurate method for reading synthetic genes.

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

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

The largest RNA language model to date helps researchers uncover the hidden roles played by non-coding RNA sequences in our cells.

By exploiting natural hardware imperfections in optical devices, a new photonics platform offers a base for robust and reliable AI models.

A new precision oncology platform taps into machine learning to guide colorectal cancer treatments based on individual genetics.

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.

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.