Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Recent advancements in machine learning have ushered in a transformative era for seismic data analysis. By integrating sophisticated algorithms such as convolutional neural networks (CNNs), generative ...

The integration of machine learning techniques into microstructure design and the prediction of material properties has ushered in a transformative era for materials science. By leveraging advanced ...

A new global review shows that while machine learning, connected medical devices, and blockchain systems are individually ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

NPU-equipped MCUs open the door to optimized edge AI in systems ranging from wearable health monitors to physical AI in ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

SCS research institutes and centers play a key role in convening interdisciplinary talent across our academic departments, government and industry to develop technology that will impact generations to ...

SMILES-2026 brings together two strong schools of thought in artificial intelligence: Skoltech, the Russian university leading by number of publications at A* conferences, and Nanjing University, a ...