Cognitive neuroscience seeks generalizable theories explaining the relationship between
behavioral, physiological and mental states. In pursuit of such theories, we propose a …

Humans and animals excel at generalizing from limited data, a capability yet to be fully
replicated in artificial intelligence. This perspective investigates generalization in biological …

Ionizable lipid nanoparticles (LNPs) are seeing widespread use in mRNA delivery, notably
in SARS-CoV-2 mRNA vaccines. However, the expansion of mRNA therapies beyond …

Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …

The release of ChatGPT has initiated new thinking about AI-based Chatbot and its
application and has drawn huge public attention worldwide. Researchers and doctors have …

Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

Ensuring safety and achieving human-level driving performance remain challenges for
autonomous vehicles, especially in safety-critical situations. As a key component of artificial …

Mechanistic insight is achieved only when experiments are employed to test formal or
computational models. Furthermore, in analogy to lesion studies, phantom perception may …

Interactions with large language models (LLMs) have led to the suggestion that these
models may soon be conscious. From the perspective of neuroscience, this position is …

The brain may have evolved a modular architecture for daily tasks, with circuits featuring
functionally specialized modules that match the task structure. We hypothesize that this …