A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Stephanie Hicks and Jamie Spangler honored for outstanding contributions to engineering and medicine research, practice, or ...

Recently, the global winners of the 2026 Noble Technology Awards have been officially announced. Young data scientist ...

Seven Princeton faculty members and two visiting artists have received 2026 Guggenheim Fellowships supporting scholars in the ...

WKU juniors Cole Meador and Alejandro Ramirez have been named Goldwater Scholars in the 2026 competition. They are two of ...

Earlier this month, a study by the Kolkata-based SABAR Institute uncovered an alarming disparity in West Bengal’s Nandigram ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Turbulence is one of the most expensive problems in computing. Simulating the chaotic swirl of air over a wing or the churn ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Job Description We are seeking a passionate and innovative Genomic Data Scientist to join our cutting-edge team.  You will ...

Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and sharpening fronts (right) using a physics-informed neural network that ...

Cortical Labs connected roughly 800,000 lab-grown human neurons to a high-density electrode array and let them interact with a simplified version of Doom, extending a line of research that began with ...