They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...
Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...
Astelia raised $35 million in Series A funding led by Index Ventures to scale its AI-powered exposure management tool. The ...
Cervical spondylotic myelopathy (CSM) refers to spinal cord compression from arthritis in the neck and is the leading cause of spinal cord dysfunction in older adults. CSM is a chronic, progressive ...
Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...
Abstract: Machine learning (ML) drives transformative advances across geophysics, revolutionising seismic interpretation, subsurface modelling, potential field analysis, and geo-hazard forecasting.
An Impact News article titled The Rise of Quantum is Shifting Attention to the World’s Data Centers reports that ...
We look at how neoclouds are able to deliver access to artificial intelligence (AI) acceleration faster and cheaper than public cloud providers.
Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...