Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

Abstract: In industrial practice, as systems become increasingly complex and integrated, the simultaneous failure of multicomponents, namely, coupling faults, has become more prevalent, which can be ...

A new artificial intelligence system is drawing renewed attention to one of paleontology’s oldest controversies. At the ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

(NASDAQ:NXXT), a pioneer in AI-driven energy innovation transforming how energy is produced, managed, and delivered, today announced that members of its engineering team have published multiple ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Vital for Cloud Security? Where businesses increasingly shift operations to the cloud, how can they ensure robust security while managing machine identities? Non-Human Identities (NHIs) offer a ...

Abstract: The problem of multiagent encirclement with multiobstacle collision avoidance (EMOCA) has been challenging since it is difficult to balance the tradeoff between surrounding a mobile target ...

Market growth is driven by industrial automation, predictive maintenance demand, AI/ML analytics adoption, IoT integration, and the need to reduce downtime and operational costs.Austin, Jan. 27, 2026 ...