GPT-Rosalind is OpenAI's first domain-specific model, built for drug discovery and life sciences—and it's not for everyone.

Credit: VentureBeat made with OpenAI GPT-Image-1.5 The journey from a laboratory hypothesis to a pharmacy shelf is one of the ...

Alibaba’s introduction of Happy Oyster model for real-time creation of virtual worlds follows unveiling of Spark 2.0 from ...

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 ...

Dynamic Gaussian splats can now be streamed in good quality to mobile devices and VR headsets. This makes volumetric videos ...

A team of Apple researchers has developed a new framework that enables high-resolution 3D scene rendering with far greater ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

In {@{probability theory and statistics}@}, {@{a Gaussian process}@} is {@{a stochastic process (a collection of random variables indexed by time or space)}@}, such that {@{every finite collection of ...

The ability to anticipate future events continuously is a hallmark of biological vision, yet standard deep learning models often struggle with long-term coherence due to the rigid discretization of ...

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 ...

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 ...