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Fei-Fei Li: A Candid Look at a Young Immigrant’s Rise to AI Trailblazer
In her new memoir, Li parallels her story with AI’s rapid development, and shares why AI is a responsibility worth our...
Neural Networks Help Us Understand How the Brain Recognizes Numbers
New research using artificial intelligence suggests that number sense in humans may be learned, rather than innate. This...
AI Agents that “Self-Reflect” Perform Better in Changing Environments
In the real world, things change fast. Stanford researchers invented the “curious replay” training method based on...
What DALL-E Reveals About Human Creativity
The image-generating model has some impressive capabilities that parallel the brain, but is it really creative?
Brains Could Help Solve a Fundamental Problem in Computer Engineering
A Stanford professor looks toward dendrites for a completely novel way of thinking about computer chips.
Gamifying Autism Diagnosis and Treatment
Video and audio data gathered by a smartphone game could facilitate earlier diagnosis of autism spectrum disorder and...
Ambitious Brain Recordings Create Unprecedented Portrait of Vision in Action
Single-cell imaging across the brain’s visual cortex lets researchers track sensory processing from perception to action...
New AI-Driven Algorithm Can Detect Autism in Brain “Fingerprints”
Early, definitive detection of autism in patients could lead to timelier interventions and better outcomes.
A Data-Driven Approach to Understanding How the Brain Works
A meta-analysis of 18,000 fMRI studies challenges neuroscientists’ understanding of brain functions and reaffirms the...
Modeling AI on the Language of Brain Circuits and Architecture
A new summary of what is known about brain circuits suggests potential new directions for AI researchers.
How Artificial Neural Networks Help Us Understand Neural Networks in the Human Brain
Experts from psychology, neuroscience, and AI settle a seemingly intractable historical debate in neuroscience — opening...
Modeling How People Make Causal Judgments
By providing quantitative predictions of how people think about causation, Stanford researchers offer a bridge between...