The Mobile Rundown on MSN
A job shadow conversation changed her path and led to $25 million
During a high school job shadow, Valentina Ratner found the ATM repair team more interesting than finance. Years later, she ...
AZoCleantech on MSN
New framework for predicting TAIs in hydrogen combustion
Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...
EdgeCortix® Inc., a leading fabless semiconductor company specializing in energy-efficient AI processing at the edge, today announced that its leading edge AI co-processor, SAKURA-II, demonstrated ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
New expanded offering delivers multimodal, real-world data for robotics as Physical AI emerges as a top trend for 2026, for both off-the-shelf and bespoke datasets. LAS VEGAS, NEVADA / ACCESS Newswire ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.
Strategic Transaction Sharpens Focus on Core AI, ML and Rugged Edge Compute Markets Accelerates OSS's Next Phase of Growth and Profitability ESCONDIDO, Calif., Dec. 30, 2025 (GLOBE NEWSWIRE) -- One St ...
This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...
This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...
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