Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...

Quotient Sciences and Intrepid Labs have announced a multi-year strategic partnership to advance the use of artificial intelligence (AI) in early drug development.

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

Overview The ML landscape in 2025 is dominated by a mix of established cloud giants, consulting leaders, and specialised AI firms delivering robust, scalable so ...

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

Superhydrides are materials that can store significantly more hydrogen than conventional hydrides and present a highly promising option for applications such as hydrogen storage and superconducting ...