Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when ...

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...

Anthropic’s Claude Opus 4.6 introduces "Adaptive Thinking" and a "Compaction API" to solve context rot in long-running agents. The model supports a 1M token context window with 76% multi-needle ...

CMU researchers paired acoustic resonance sensors with machine learning to create a controller that is easier to manipulate than traditional models and could help people with limited fine-motor skills ...

Abstract: Lung sounds are the most promising biomarkers for diagnosing respiratory illnesses. Machine Learning based lung sound classification has gathered much interest in the recent days, because of ...

Abstract: Accurate recognition of bird emotions is essential for advancing bird behavior studies and conservation efforts. This paper introduces a learning approach for bird emotions recognition, ...