FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

The 'Algorithm Master,' computer science focuses on complexity analysis and theoretical design. Top colleges per NIRF 2025 ...

Layered metasurfaces trained as optical neural networks enable multifunctional holograms and security features, integrating ...

The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Brain organoids can be a good step forward, assuming they are grown from induced human pluripotent stem cells. That allows us to sidestep ethical concerns about the use of human embryos, thereby ...

Researchers and students developed a new AI model that generates motion in a variety of robots using simple text commands.

MFIs rely on standardized interest rate systems that treat borrowers uniformly, regardless of the individual likelihood of ...