Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Large Language Models Accelerate Construction of Materials Property Databases TSUKUBA, JAPAN - January 8, 2026 (NEWMEDIAWIRE) ...

According to the paper, artificial intelligence addresses a core weakness in Parkinson’s care: reliance on subjective ...

Five big data leaders - FICO, TDC, FFIV, SPGI and MCO - are leveraging AI, analytics and acquisitions to capture rising data ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

SpaceX uses your data to train its machine learning and AI models and might share that with partners who 'help us develop ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

In recent years, the intersection of artificial intelligence (AI), machine learning (ML), and acoustic signal processing has emerged as a rapidly advancing field, offering new ways to analyze, ...

A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...