The GPCRact AI model goes beyond AlphaFold3 by predicting whether drugs functionally activate G-protein-coupled receptors through allosteric signaling.

This review outlines the potential of smart microscopy to transform biological imaging through adaptive systems that optimize data collection and image quality.

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve operational efficiency and reduce costs.

Motor imagery or imagined limb movements can power brain–computer interface (BCI) devices, such as prostheses and wheelchairs, supporting rehabilitation for people with neuromusculoskeletal disorders.

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

A research team led by Prof. Tianyu Wang and Jialin Meng from the School of Integrated Circuits and State Key Laboratory of Crystal Materials at Shandong University has developed the world’s first ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

Dr. Behrooz Razeghi is a postdoctoral researcher in the Biometric Security & Privacy group at the Idiap Research Institute.

When profiling produces legal or similarly significant effects, Article 22 of the GDPR restricts decisions based solely on ...

MIT created "periodic table" for ML, organizing 20 algorithms by mathematical similarities which discovered of a new image-classification algorithm by 8%.

Abstract: Hyperspectral image (HSI) classification presents inherent challenges due to high spectral dimensionality, significant domain shifts, and limited availability of labeled data. To address ...

Abstract: This research explores a deep learning-based approach to sports image classification using four convolutional neural network (CNN) models: VGG-16, VGG-19, Xception, and EfficientNetB7. The ...