Combining machine learning with multimodal electrochemical sensing can significantly improve the analytical performance of biosensors, according to new findings. Combining machine learning with ...

A novel remote inference capability places machine learning models at the assembly and test house, without any sensitive data leaving the assembly and test house. In semiconductor manufacturing, a low ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...

The importance of digital tools and simulation for successful composite parts design is well established, whether for aircraft wings, automotive bumper beams or bicycle frames. Over the past decade, ...

Irvine, Calif. – From chatbots that answer tax questions to algorithms that drive autonomous vehicles and dish out medical diagnoses, artificial intelligence undergirds many aspects of daily life.

Creating smarter, more accurate artificial intelligence systems requires a hybrid human-machine approach, according to researchers. In a new study, they present a new mathematical model that can ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Rational use of adjuvant anti-PD-1: Multi-omics model of recurrence in stage III melanoma. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full ...

Options for evaluating communication strategies in treatment and clinical trial discussions. This is an ASCO Meeting Abstract from the 2024 ASCO Annual Meeting I. This abstract does not include a full ...