Codex, OpenAI’s source code–generation model, is based on transformers. More recently, transformers have found their way into computer vision, where they are slowly replacing convolutional ...

Data poisoning is a type of attack that involves tampering with and polluting a machine learning model's training data, impacting the model's ability to produce accurate predictions.

Machine learning startup Predibase Inc. today announced the commercial availability of its low-code declarative machine learning platform for artificial intelligence developers, adding new features fo ...

Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following ...

Big-data company Databricks Inc. is hoping to empower so-called citizen data scientists to create their own machine learning models with new “Automated Machine Learning” capabilities in its ...

In simple terms, model drift occurs as new data becomes available, and the predictions, clusters, segmentations, and recommendations provided by machine learning models deviate from expected outcomes.

Databricks, the Silicon Valley-based startup focused on commercializing Apache Spark, has developed MLflow, an open source toolkit for data scientists to manage the lifecycle of machine learning ...

Validated models and experimental data will then inform decision-making. Through predictive modelling and beyond, using machine learning and other forms of AI and data science, we will be able to push ...