Touchtype Limited

Benevolental Technology Limited

Stephen Thomas Spencer

Benjamin William Medlock

Douglas Alexander Harper Orr

Páidí Creed

Paidi Creed

Aaron Jefferson Khey Jin Sim

Mikko Juhani Vilenius

Method(s), apparatus, and system(s) are provided for filtering a set of data, the set of data comprising multiple data instances by: receiving a set of scores for the set of data; determining attention filtering information based on prior knowledge of one or more relationships between the data instances in said set of data and calculating attention relevancy weights corresponding to the data instances and the set of scores; and providing the attention filtering information to a machine learning, ML, technique or ML model.

Attention filtering for multiple instance learning

Systems comprising a user interface configured to receive text input by a user and a text prediction engine configured to receive the input text and generate text predictions. The text prediction engine may comprise a general language model and a context-specific language model. The text prediction engine is configured to generate text predictions from the general language model and the context-specific language model and combine the text predictions. The text prediction engine may comprise first and second language models and a first context-specific weighting factor associated with the first language model. The text prediction engine is configured to generate text predictions using the first and second language models, generate weighted probabilities of the text predictions from the first language model using the first context-specific weighting factor; and generate final text predictions from the weighted predictions generated from the first language model and the predictions generated by the second language model.

System and method for inputting text into electronic devices

Growing community of inventors

London, United Kingdom

Stephen Thomas Spencer