For predicting relapse in 1,387 patients with early-stage (I-II) NSCLC from the Spanish Lung Cancer Group data (average age 65.7 years, female 24.8%, male 75.2%), we train tabular and graph machine ...

Light absorption is a cornerstone for several applications such as solar cells, photodetectors, and optical sensors, to name a few. Yet, the trade-off between the thickness of the absorber and its ...

WEST LAFAYETTE, Ind. — For quantum optical technologies to become more practical, there is a need for large-scale integration of quantum photonic circuits on chips. This integration calls for scaling ...

PSoC Edge, a series of MCUs from Infineon, leverages hardware-assisted machine learning (ML) acceleration for responsive compute and control applications. The microcontrollers are based on an ...

SHENZHEN, China, May 16, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a neural network-based quantum ...

Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...

A new microcontroller claims to offer hardware-assisted machine learning (ML) acceleration for the Internet of Things (IoT) and industrial applications such as smart home, security surveillance, ...

One of the most frequently-used phrases at (virtual) business conferences these days is “the future of work.” It’s increasingly clear that artificial intelligence and other new technologies will bring ...

Slow to adapt to change, the construction industry isn’t typically at the forefront of pioneering new technologies. However, that tide appears to be turning. Technologies such as artificial ...

Alteryx has just announced the acquisition of Feature Labs, a tiny three year-old Cambridge, Mass.-based startup that will add capabilities for automating feature engineering to machine learning (ML) ...