It is the subfield of computer science that focuses on creating systems capable of intelligent behavior, including problem solving, learning, adaptation, perception, and language understanding.
This academic article explores the concept of Morpho-Evolution (ME), which is the simultaneous optimization of a robot’s design and controller to maximize its performance. The researchers use Local Optima Network…
Continue readingThe paper discusses the development of WildfireGPT, an LLM agent tailored for wildfire analysis. The model is designed to provide accurate, specific information on wildfire risks, enhanced with additional context…
Continue readingThe study introduces MAIDCRL (Multi-Agent Dense-CNN Reinforcement Learning), a reinforcement learning algorithm that incorporates convolutional layers into the deep model architecture for better multi-agent control in StarCraft Multi-Agent Challenge scenarios….
Continue readingThe paper introduces a new method, Diffusion-ES, that combines gradient-free optimization with trajectory denoising to optimize non-differentiable objectives. This method is particularly useful in autonomous driving scenarios. Diffusion-ES samples trajectories…
Continue readingThis research paper discusses the issue of missing data in electronic patient records (EPRs) and its impact on clinical data analysis. The authors argue that missing data can lead to…
Continue readingThe article introduces ‘G-SciEdBERT’, a contextualized German Science Education BERT developed for scoring written responses to science questions in German. It is trained on a corpus of 50K German written…
Continue readingThe article investigates the generalization capabilities of Multimodal Large Language Models (MLLMs) under out-of-distribution scenarios and domain-specific tasks. Evaluations across synthetic images, real-world distributional shifts, and specialized datasets like medical…
Continue readingThe article introduces a new approach, RQP-SGD, for privacy-preserving machine learning. The rise of IoT devices necessitates efficient and secure data processing. Traditional machine learning models can be impractical for…
Continue readingThe article presents a study on the problem of generating plans for given natural language planning task requests. Large Language Models (LLMs) are great at natural language processing but not…
Continue readingThe paper discusses the creation of the Aya Dataset, a multilingual instruction-following dataset spanning 65 languages. The researchers collaborated with fluent speakers worldwide to collect natural instances of instructions and…
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