The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...

BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...