AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Organoid Intelligence (OI) represents a groundbreaking convergence of biology and technology, aiming to redefine biocomputing using brain organoids—three-dimensional neural structures derived from ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's ...

New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...

Dementia, including Alzheimer’s (AD) and frontotemporal dementia (FTD), often causes overlapping symptoms, making diagnosis ...

The human mind is turning out to be far stranger and more intricate than the tidy diagrams in old biology textbooks ever suggested. A wave of new research is revealing hidden layers in the brain’s ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...