Let's solidify the idea of using time-interval, dependent information to inform sequential predictions with another conceptual example, where such information is considered crucial for accurate predictions. Consider how a human drummer, for example, must execute a precise sequence of motor commands corresponding to a precise flow of rhythm. They time their actions and count their progressions in a sequentially dependent order. Here, the information representing patterns of generated sequences is, at least partially, conveyed through the time delays between these respective events. Naturally, we would be interested in artificially replicating the sophisticated sequence modeling task occurring in such interactions. In theory, we could even use such an approach to sample novel rhyming schemes from computer-generated poetry, or create robot athletes...
United States
United Kingdom
India
Germany
France
Canada
Russia
Spain
Brazil
Australia
Argentina
Austria
Belgium
Bulgaria
Chile
Colombia
Cyprus
Czechia
Denmark
Ecuador
Egypt
Estonia
Finland
Greece
Hungary
Indonesia
Ireland
Italy
Japan
Latvia
Lithuania
Luxembourg
Malaysia
Malta
Mexico
Netherlands
New Zealand
Norway
Philippines
Poland
Portugal
Romania
Singapore
Slovakia
Slovenia
South Africa
South Korea
Sweden
Switzerland
Taiwan
Thailand
Turkey
Ukraine