Science in art
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Seen and heard: The Transmitter’s top multimedia stories in 2023
Our audio, video and photo highlights from the past year help to transport readers into scientists’ lives and research, and the lives of their study participants.
Seen and heard: The Transmitter’s top multimedia stories in 2023
Our audio, video and photo highlights from the past year help to transport readers into scientists’ lives and research, and the lives of their study participants.
Unmasking Alzheimer’s disease
People with early-onset Alzheimer’s disease describe why they enrolled in clinical trials through the Dominantly Inherited Alzheimer Network (DIAN), in a new book of portrait photography.
Unmasking Alzheimer’s disease
People with early-onset Alzheimer’s disease describe why they enrolled in clinical trials through the Dominantly Inherited Alzheimer Network (DIAN), in a new book of portrait photography.
Explore more from The Transmitter
What can AI teach us about ‘emotions’?
Exploring why Anthropic’s AI, Claude, displays something like emotion could ultimately help us better understand the function that emotions serve in humans.
What can AI teach us about ‘emotions’?
Exploring why Anthropic’s AI, Claude, displays something like emotion could ultimately help us better understand the function that emotions serve in humans.
Argentine protesters condemn science funding shortfall
Demonstrators across the country called for the government to increase public university salaries and funding for scientific research.
Argentine protesters condemn science funding shortfall
Demonstrators across the country called for the government to increase public university salaries and funding for scientific research.
This paper changed my life: Appreciating John Hopfield’s brilliant neural network
In a 1982 paper, the Nobel laureate created his namesake recurrent neural network—work that taught Maria Geffen to always ground research questions in biology.
This paper changed my life: Appreciating John Hopfield’s brilliant neural network
In a 1982 paper, the Nobel laureate created his namesake recurrent neural network—work that taught Maria Geffen to always ground research questions in biology.