Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Khrystyna Voloshyn, Data Scientist, Tamarack Technology Scott Nelson, Chief Technology and Chief Product Officer, Tamarack ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

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 ...

Oriana Ciani addresses the financial pressures that healthcare payers face due to rising costs of innovative therapies ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

WiMi launched the MC-QCNN, a quantum convolutional neural network capable of processing multi-channel data for applications ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Main outcome measures Cumulative time dependent intake of preservatives, including those in industrial food brands, assessed ...

Oris has launched its first new watch of 2026; a colorful Chinese New Year-themed take on the brand's in-house "business ...

Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...