This important study reveals distinct representations of task-related information in the dendrites and somata of cortical neurons during sensorimotor learning and behavioral adaptation. The evidence ...
Garine’s breakthrough came during the AI in Healthcare course. While the course explores subjects ranging from electronic ...
This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...
Researchers have uncovered a supply-chain attack that hides in Python packages, propagates like a worm, and tricks LLM-based ...
ChatGPT world of 2022 will enter the workforce this year. The curriculum, according to experts, has not kept pace with what ...
To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
Pilots’ voices from the last seconds of a fatal cargo plane crash have been re-created by Internet sleuths using software and AI tools. The spread of reconstructed audio recordings has prompted a US ...
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One of the key challenges of building effective AI agents is teaching them to choose between using external tools or relying on their internal knowledge. But large language models are often trained to ...
Abstract: This paper reviews recent system-level analysis methods for electromagnetic pulse coupling with local and network systems. For local systems, starting from the electromagnetic topology (EMT) ...
An Introduction to Python for Computational Science and Engineering, developed by Hans Fangohr since 2003.(2003-2024). The content and methods taught are intended for a target audience of scientists ...
Computational toxicology plays an important role in chemical safety assessments. Computational methods are applied to early-stage screening in drug discovery, hazard identification, and regulatory ...