[HTML][HTML] Modern computing: Vision and challenges

SS Gill, H Wu, P Patros, C Ottaviani, P Arora… - … and Informatics Reports, 2024 - Elsevier
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

Recent applications of AI to environmental disciplines: A review

A Konya, P Nematzadeh - Science of The Total Environment, 2024 - Elsevier
The rapid development and efficiency of Artificial Intelligence (AI) tools have made them
increasingly popular in various fields and research domains. The environmental discipline is …

Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science

C Chakraborty, S Pal, M Bhattacharya… - Frontiers in artificial …, 2023 - frontiersin.org
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 …

Centering cognitive neuroscience on task demands and generalization

M Nau, AC Schmid, SM Kaplan, CI Baker… - Nature …, 2024 - nature.com
Cognitive neuroscience seeks generalizable theories explaining the relationship between
behavioral, physiological and mental states. In pursuit of such theories, we propose a …

Generating meaning: active inference and the scope and limits of passive AI

G Pezzulo, T Parr, P Cisek, A Clark, K Friston - Trends in Cognitive …, 2024 - cell.com
Prominent accounts of sentient behavior depict brains as generative models of organismic
interaction with the world, evincing intriguing similarities with current advances in generative …

The feasibility of artificial consciousness through the lens of neuroscience

J Aru, ME Larkum, JM Shine - Trends in neurosciences, 2023 - cell.com
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 …

[HTML][HTML] Language in brains, minds, and machines

G Tuckute, N Kanwisher… - Annual Review of …, 2024 - annualreviews.org
It has long been argued that only humans could produce and understand language. But
now, for the first time, artificial language models (LMs) achieve this feat. Here we survey the …

Representations and generalization in artificial and brain neural networks

Q Li, B Sorscher, H Sompolinsky - Proceedings of the National Academy of …, 2024 - pnas.org
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 …

Fear-neuro-inspired reinforcement learning for safe autonomous driving

X He, J Wu, Z Huang, Z Hu, J Wang… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Ensuring safety and achieving human-level driving performance remain challenges for
autonomous vehicles, especially in safety-critical situations. As a key component of artificial …

Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception

A Schilling, W Sedley, R Gerum, C Metzner, K Tziridis… - Brain, 2023 - academic.oup.com
Mechanistic insight is achieved only when experiments are employed to test formal or
computational models. Furthermore, in analogy to lesion studies, phantom perception may …