Computational models are mathematical models that are simulated using computation to study complex systems. In biology, one example is the use of a computational model to study an outbreak of an ...

How do languages balance the richness of their structures with the need for efficient communication? To investigate, ...

Traditional fine-tuning methods for LLMs aim to optimize performance across diverse tasks by training a single model ...

AI and ML have significantly improved research capabilities by automating routine tasks and enhancing data analysis.

To fully realize GenAI's potential, financial institutions must address data constraints, ethical considerations, ...

DeepSeek is paving the way for a wave of nimble competitors, sparking innovation and competition. We're not seeing the rise ...

How DeepSeek differs from OpenAI and other AI models, offering open-source access, lower costs, advanced reasoning, and a unique Mixture of Experts architecture.

While these models benefit from scaling up during training through increased data, computational resources, and model sizes, their inference-time scaling capabilities face significant challenges.

The world of machine learning is evolving rapidly, and choosing the right framework for training models can significantly ...

Performance in reversal learning can be modeled using computational modeling which allows for the specification of biologically plausible models to infer psychological mechanisms. Although such models ...

Using Parkinson’s disease as a case study, we review here how computational models are a crucial tool for taming this complexity, across causative mechanisms, consequent neural dynamics and treatments ...