Weather Forecasting Service Market is expected to grow significantly, reaching USD 4.8 Billion by 2033, up from USD 2.4 ...

Military Cyber Security Market is anticipated to experience significant growth, projected to reach USD 66.3 Billion by ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

The growing demand for Advanced Driver Assistance Systems (ADAS) and the growing use of connected cars are driving the growth of the automotive predictive analytics market.Austin, Sept. 22, 2025 ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...

The XIAOML Kit is one of the devkits that complements Harvard University Professor Vijay Janapa Reddi’s book “Introduction to Machine Learning Systems“, available for free as a 2050-page PDF file. The ...

Predictive machine learning (ML), such as deep learning, excels at pattern recognition tasks like self-driving cars, protein structure prediction, or large language models. However, these models ...

Abstract: Recently, bilevel optimization (BLO) has taken center stage in some very exciting developments in the area of signal processing (SP) and machine learning (ML). Roughly speaking, BLO is a ...