Naveen Rao's Unconventional AI has released Un-0, an image generation model running on a simulated oscillator chip architecture it claims could slash power.

Q.ANT successfully demonstrated a diffusion model and a recurrent neural network on its second-generation Native Processing Unit (NPU) at ISC High Performance 2026 in Hamburg. This proves that Q.ANT’s ...

A technology developed at the Technion enables ordinary users to create realistic video clips intuitively, without the need ...

Large language model-guided extraction of explainable clinical decision trees from longitudinal meningioma clinical notes. This is an ASCO Meeting Abstract from the 2026 ASCO Annual Meeting I. This ...

Over 15 billion AI images have been generated since 2022. Whether you want the best AI art generator for stylized creative work, a best free text to image AI for quick marketing assets, or one of the ...

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research project that changed biology and chemistry forever. To understand what the ...

Following identification of a disease-causing protein, rational drug discovery aims to design a ligand that binds to the protein target with high specificity and affinity to mitigate disease effects.

Introduction: Deep learning-based denoising have demonstrated potential in reducing noise while maintaining diagnostic performance for myocardial perfusion single photon emission computed tomography ...

[2025/7/14] 🔥 Release our Real-world Tesing dataset for real-world LLIE! [2025/7/14] 🔥 Release the Pre trained models! [2025/7/14] 🔥 Release the codes! [2025/3/21] 🔥 Paper accepted at PR 2025 ...

Abstract: We investigate the efficiency of deep neural networks for approximating scoring functions in diffusion-based generative modeling. While existing approximation theories leverage the ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

A deep learning algorithm is presented to classify single-particle tracking trajectories into theoretical models of anomalous diffusion and detect if the trajectory is related to a model not ...