Scientists used a compact AI model to predict how visual cortex neurons respond to images, revealing hidden patterns in perception.

Photonics is gaining momentum as a platform for high-speed AI computing. Researchers in Singapore have demonstrated a passive, ultrafast, and integration-ready all-optical nonlinear activation ...

Researchers at the Yale School of Medicine have, for the first time ever, imaged a neuron dying and subsequently undergoing “corpse removal.” In the video below, a brain cell is shown experiencing ...

3D morphological analysis of neurons often requires using different imaging modalities, capturing multiple types of neurons and inspecting neurons in a range of densities. These complexities make it ...

PROVIDENCE, R.I. [Brown University] -- Scientists looking for ways to stimulate the growth of neurons can spend hours painstakingly analyzing microscope images of cells growing in petri dishes. A new ...

Dr. Shuiwang Ji, a professor in the Department of Computer Science and Engineering at Texas A&M University, is part of a collaborative research community that recently had its paper titled "BigNeuron: ...

Leica Microsystems, a leader in microscopy and scientific instrumentation, has released version 12 of Aivia, its flagship AI image analysis software. Aivia 12 incorporates the Cellpose deep learning ...

BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.

is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Researchers from machine learning lab OpenAI have discovered that their state-of-the-art computer vision ...

3D morphological analysis of neurons often requires using different imaging modalities, capturing multiple types of neurons and inspecting neurons in a range of densities. These complexities make it ...