Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

Artificial intelligence has gotten a bad reputation lately, and often for good reason. But a team of scientists at Google’s ...

The tool helps scientists understand how single-letter mutations and distant DNA regions influence gene activity, shaping ...

New research shows learning erosion is real—but evidence-anchored design, governance, and assessment can turn AI into an ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Universities can leverage selective outsourcing to build a lean, adaptive technology transfer office that enhances ...

Singapore researchers show how adapting pre-trained AI models can solve data scarcity issues in countries with limited ...