The rapid increase in electric vehicle adoption in recent years has highlighted a crucial issue: the energy conversion ...
For companies such as HRV Pharma out of India, the standardized scale of manufacturing has expanded alongside its ...
Alibaba’s introduction of Happy Oyster model for real-time creation of virtual worlds follows unveiling of Spark 2.0 from ...
As DRAM technologies scale to increasingly tighter pitches, the patterning requirements exceed the limits of conventional ...
A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform rendering. Their framework provides a solid ...
A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform ...
Pradhan and Basab Chakraborty, has developed a grey wolf optimisation (GWO)-based hybrid regression model that significantly improves state-of-health (SOH) estimation for bipolar lead-acid batteries.
Abstract: Gaussian process state-space models (GPSSMs) offer a principled framework for learning and inference in nonlinear dynamical systems with uncertainty quantification. However, existing GPSSMs ...
Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...
Advances in automation and AI/ML offer new opportunities for plant science, including design, modeling, and analysis. This study aimed to develop an automated platform for researching small model ...
This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
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