​ Artificial intelligence is teaming with crowdsourcing to improve mRNA vaccines’ thermostability — the ability to avoid breaking down under heat stress — making distribution more accessible worldwide. In this episode of the NVIDIA AI Podcast, host Noah Kravitz interviews Bojan Tunguz, a physicist and… Read More »How AI and Crowdsourcing Can Advance mRNA Vaccine Distribution Brian Caulfield – Archives Page 1 | NVIDIA Blog

​ Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. The Jupyter Notebook, first released in 2011, has become a de facto standard tool used by millions of users worldwide across… Read More »Announcing new Jupyter contributions by AWS to democratize generative AI and scale ML workloads Brian Granger AWS Machine Learning Blog

​ Jupyter notebooks are highly favored by data scientists for their ability to interactively process data, build ML models, and test these models by making inferences on data. However, there are scenarios in which data scientists may prefer to transition from interactive development on notebooks… Read More »Schedule your notebooks from any JupyterLab environment using the Amazon SageMaker JupyterLab extension Bhadrinath Pani AWS Machine Learning Blog

​ An index is a data structure that helps MongoDB discover documents quickly using the values of one or more fields and accelerates data retrieval operations on a collection. In the article, we have discussed what is index and operations like creating an index, retrieving… Read More »Using MongoDB Index Explained AQSA Spark By {Examples}

​ MosaicML has recently launched a game-changing tool, MPT-7B, to transform how businesses and organizations approach predictive analytics and decision-making. This new tool is a robust machine learning algorithm that utilizes the latest developments in deep learning and neural networks to handle large, complex datasets… Read More »Meet MPT-7B: A New Open-Source Large Language Model Trained on 1T Tokens of Text and Code Curated by MosaicML Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Three-dimensional (3D) meshes are a primary component of computer graphics and 3D modeling and have several fields of application, including architecture, automotive design, video game development, and film production. A mesh is a digital representation of a three-dimensional object comprising a collection of vertices,… Read More »Meet TextDeformer: An AI Framework For Text-guided 3D Mesh Deformation Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ Amazon SageMaker Serverless Inference allows you to serve model inference requests in real time without having to explicitly provision compute instances or configure scaling policies to handle traffic variations. You can let AWS handle the undifferentiated heavy lifting of managing the underlying infrastructure and… Read More »Announcing provisioned concurrency for Amazon SageMaker Serverless Inference James Park AWS Machine Learning Blog

​ Your privacy and identity in exchange for better results and superb solutions, worth it or not? Continue reading on Chatbots Life »  Your privacy and identity in exchange for better results and superb solutions, worth it or not?Continue reading on Chatbots Life »  Read More chatbots,… Read More »Is Your Information at Risk? The Truth About ChatGPT and Similar Language Models Sam Writes Security Chatbots Life – Medium

​ Proteins drive many biological processes, such as enzyme activity, molecular transport, and cellular support. The three-dimensional structure of a protein provides insight into its function and how it interacts with other biomolecules. Experimental methods to determine protein structure, such as X-ray crystallography and NMR… Read More »Accelerate protein structure prediction with the ESMFold language model on Amazon SageMaker Brian Loyal AWS Machine Learning Blog

​ Healthcare data is complex and siloed, and exists in various formats. An estimated 80% of data within organizations is considered to be unstructured or “dark” data that is locked inside text, emails, PDFs, and scanned documents. This data is difficult to interpret or analyze… Read More »Transform, analyze, and discover insights from unstructured healthcare data using Amazon HealthLake Shravan Vurputoor AWS Machine Learning Blog