Nanostructures enable on-chip lightwave-electronic frequency mixer
Lightwave electronics aim to integrate optical and electronic systems at incredibly high speeds, leveraging the ultrafast oscillations of light fields.
New open-source tool helps to detangle the brain
The software tool NeuroTrALE is designed to quickly and efficiently process large amounts of brain imaging data semi-automatically.
What happens during the first moments of butterfly scale formation
New findings could help engineers design materials for light and heat management.
Microscope system sharpens scientists’ view of neural circuit connections
A newly described technology improves the clarity and speed of using two-photon microscopy to image synapses in the living brain.
Researchers leverage shadows to model 3D scenes, including objects blocked from view
This technique could lead to safer autonomous vehicles, more efficient AR/VR headsets, or faster warehouse robots.
Technologies enable 3D imaging of whole human brain hemispheres at subcellular resolution
Three innovations by an MIT-based team enable high-resolution, high-throughput imaging of human brain tissue at a full range of scales, and mapping connectivity of neurons at single-cell resolution.
A new way to spot life-threatening infections in cancer patients
Leuko, founded by a research team at MIT, is giving doctors a noninvasive way to monitor cancer patients’ health during chemotherapy — no blood tests needed.
With programmable pixels, novel sensor improves imaging of neural activity
New camera chip design allows for optimizing each pixel’s timing to maximize signal-to-noise ratio when tracking real-time visual indicator of neural voltage.
New algorithm discovers language just by watching videos
DenseAV, developed at MIT, learns to parse and understand the meaning of language just by watching videos of people talking, with potential applications in multimedia search, language learning, and robotics.
New computer vision method helps speed up screening of electronic materials
The technique characterizes a material’s electronic properties 85 times faster than conventional methods.
Controlled diffusion model can change material properties in images
“Alchemist” system adjusts the material attributes of specific objects within images to potentially modify video game models to fit different environments, fine-tune VFX, and diversify robotic training.
Mapping the brain pathways of visual memorability
For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.
New AI method captures uncertainty in medical images
By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
New algorithm unlocks high-resolution insights for computer vision
FeatUp, developed by MIT CSAIL researchers, boosts the resolution of any deep network or visual foundation for computer vision systems.
This ultrasound sticker senses changing stiffness of deep internal organs
The sticky, wearable sensor could help identify early signs of acute liver failure.