Using hundreds of volunteers to proofread and annotate the 3D brain, called a connectome,…
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The recent rapid deployment of datacenter infrastructures for performing large language models (LLMs) and related artificial intelligence (AI) applications in the clouds is predicted to incur an exponentially growing energy consumption in the near-te...
# Listen at [https://podcasts.apple.com/ca/podcast/ai-weekly-news-rundown-marc-23-to-march-30-2025-llm/id1684415169?i=1000701444305](https://podcasts.apple.com/ca/podcast/ai-weekly-news-rundown-marc-2...
We propose a novel and low-cost test-time adversarial defense by devising interpretability-guided neuron importance ranking methods to identify neurons important to the output classes. Our method is a training-free approach that can significantly imp...
Steven Chase uses brain-computer interfaces to study motor learning and skill acquisition. His work stands to provide a better understanding of how movement information is represented in networks of neurons in the brain and will inform the development of neural prosthetics.
The theory of reinforcement learning provides a normative account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how agents may optimize their control of an environment. To use reinforcement learning successfully in situations approaching…
Can a machine ever become self-aware? Does consciousness depend on the material neurons are made of or can humans use hardware to replicate it?