David Amaral is distinguished professor of psychiatry and behavioral sciences at the University of California, Davis MIND Institute.
David Amaral
Director
Autism BrainNet
From this contributor
‘Prototypical autism’ research is likely a dead end
Efforts to define “frank” or “classic” forms of the condition build on several assumptions that the science has not yet borne out.
‘Prototypical autism’ research is likely a dead end
Questions for Amaral, Halladay: Boosting brainpower
A new network of brain banks aims to collect and disburse tissue donations to U.S. autism researchers.
Questions for Amaral, Halladay: Boosting brainpower
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Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.
Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.
Johannes Jaeger explains why we should care that brains and AI are not the same
From single cells to whole organisms, living beings must continuously regenerate themselves and judge what's important to continue living. Artificial intelligence does not and cannot.
Johannes Jaeger explains why we should care that brains and AI are not the same
From single cells to whole organisms, living beings must continuously regenerate themselves and judge what's important to continue living. Artificial intelligence does not and cannot.
What mosquitos lay bare about proprioception
By comparing the proprioceptive systems of mosquitos and fruit flies, Sweta Agrawal aims to uncover fundamental features of the ability to sense self-movement.
What mosquitos lay bare about proprioception
By comparing the proprioceptive systems of mosquitos and fruit flies, Sweta Agrawal aims to uncover fundamental features of the ability to sense self-movement.