Researchers in Egypt have developed artificial intelligence (AI) models to detect damage on solar panels used in space. The study analysed images of solar arrays affected by arcing, a phenomenon where electrical discharges occur when high-voltage solar panels interact with plasma in space. According to the authors, “Arcs can lead to severe damage to cell

The enduring mystery of why deep neural networks learn so effectively has taken a step closer to resolution with a new theoretical framework, unveiled by Charles H. Martin of Calculation Consulting and Christopher Hinrichs of Onyx Point Systems, and colleagues. Their work introduces a Semi-Empirical Theory of Learning, or SETOL, which provides a formal explanation

Contrary to Orwellian dystopia, the world is heading towards a brave new algorithmic order; rather than through brute force and surveillance, rebellions are crushed, narratives are re-encoded through digital history distortion, and pacification is achieved with enlightened algorithms, all while offering comfort, deceiving the user into a state of euphoria while stripping away their liberties.

Research Open access Published: 27 July 2025 Wentao Gong1,2  na1, Keguang Chen3  na1, Xiao Chen2, Xueli Liu2, Zhen Li2, Li Wang2, Yuxuan Shi2, Quan Liu2, Xicai Sun2,4, Xinsheng Huang3, Xu Luo5 & … Hongmeng Yu1,2,4  BioMedical Engineering OnLine volume 24, Article number: 95 (2025) Cite this article Abstract Background This study developed a foundation model-based analytical framework for

Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like dermatology, radiology, and cardiology, the need for precise segmentation—assigning a class to every pixel in a medical image—is acute. Yet, the main obstacle remains: the scarcity of large, expertly

Introduction Research background and motivations In recent years, the rapid advancement of information technology has enabled virtual reality (VR) to play an increasingly important role in cultural display and museum space design. VR not only reconstructs historical scenes and cultural heritage, but also offers audiences an immersive, novel visiting experience that transcends the limitations of

Santa Clara, July 26, 2025 (GLOBE NEWSWIRE) -- In 2025, AI-driven data analytics is transforming industries by enabling real-time decision-making, predictive modeling, and automation. Companies like Google and SAS are leading this revolution with platforms like BigQuery and SAS Viya, which integrate AI to process complex data and support advanced analyses in real-time. This shift

Artificial intelligence (AI) has emerged as a transformative force in modern oncology, particularly within the field of radiation oncology. As treatment planning grows more complex, image-guided modalities become more precise, and the demand for personalized care increases, AI tools for radiation oncologists offer a promising solution to reduce clinician burden and enhance treatment quality. From