Researchers argue that the concept of a unique 'voiceprint' is scientifically misleading. They claim that voices are highly dynamic and context-depend...
Google's DeepMind research team has been working on artificial intelligence (AI) in games for 15 years. They've collaborated with various game studios...
Researchers propose using active inference to help AI agents acquire the right context efficiently. This involves balancing between making default ass...
Researchers have reviewed the use of population-based metaheuristics for berth allocation and quay crane assignment problems in port-terminal operatio...
A new paper proposes a way to address the uncertainty surrounding artificial consciousness by shifting focus from questions about sentience to valence...
Researchers propose the concept of 'bounded sovereignty' to address the challenge of controlling AI models when they are deployed through APIs or mana...
Researchers have developed a new way to analyze social interactions in dairy cattle using computer vision. They analyzed video footage from a commerci...
Researchers have explored the use of large language models to generate air traffic control communications. They experimented with nine different model...
A new approach called Outcome Monitors has been proposed to detect tool failures and provide recovery options for agents. When a tool call times out, ...
Researchers have proposed a new method for improving on-policy distillation in language models. The current approach to on-policy distillation assumes...
A new framework called Symposium aims to improve trust among researchers by creating auditable records of AI agents' activities. This involves recordi...
Researchers propose adaptive compression techniques to optimize the performance of retrieval-augmented generation (RAG) on edge devices. RAG improves ...