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AI models are powerful, but are they biologically plausible? | MIT News | Massachusetts Institute of Technology

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Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the images provided, other than to crop them to size. A credit line must be used when reproducing images; if one is not provided below, credit the images to "MIT." Artificial neural networks, ubiquitous machine-learning models that can be trained to complete many tasks, are so called because their architecture is inspired by the way biological neurons process information in the human brain. About six years ago, scientists discovered a new type of more powerful neural network model known as a transformer. These models can achieve unprecedented performance, such as by generating text from prompts with near-human-like accuracy. A transformer underlies AI systems such as ChatGPT and Bard, for example. While incredibly effective, transformers are also mysterio

A new study bridging neuroscience and machine learning offers insights into the potential role of astrocytes in the human brain. Adam Zewe | MIT News Publication Date : August 15, 2023 Press Inquiries Press Contact : Abby Abazorius Email: abbya@mit.edu Phone: 617-253-2709 MIT News Office Media Download ↓ Download Image Caption : Researchers hypothesize that a powerful type of AI model known as a transformer could be implemented in the brain through networks of neuron and astrocyte cells. The work could offer insights into how the brain works and help scientists understand why transformers are

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