The Best Coffee Subscriptions We’ve Savored
These services deliver freshly roasted, delicious coffee right to your door—each with its own twist.
Philadelphia’s Diatom Archive Is a Way, Way, Wayback Machine
A cache of phytoplankton at the Academy of Natural Sciences of Drexel University is helping researchers reconstruct historical coastlines.
How Palantir Apollo Saves Developer Time on Kubernetes
Editor’s note: This blog post is the third in a series about Palantir Apollo, following publication of Why Traditional Approaches to Continuous Deployment Don’t Work Today and Palantir Apollo Orchestration: Constraint-Based Continuous Deployment For Modern Architectures. Over the last decade, infrastructure platforms have grown to meet the increasing demand for using containers as the fundamental …
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Protección de Datos en Palantir Foundry
Un enfoque íntegro de la privacidad y la gobernanza Editor’s Note: This is a lightly edited translation of the original English-language post. Palantir Foundry es una plataforma de software que permite a nuestros clientes sincronizar sus datos en un entorno seguro en el que todos los miembros de la organización pueden utilizar dichos datos para …
Large-scale revenue forecasting at Bosch with Amazon Forecast and Amazon SageMaker custom models
This post is co-written by Goktug Cinar, Michael Binder, and Adrian Horvath from Bosch Center for Artificial Intelligence (BCAI). Revenue forecasting is a challenging yet crucial task for strategic business decisions and fiscal planning in most organizations. Often, revenue forecasting is manually performed by financial analysts and is both time consuming and subjective. Such manual …
Building a Machine Learning Platform with Kubeflow and Ray on Google Kubernetes Engine
Increasingly more enterprises adopt Machine Learning (ML) capabilities to enhance their services, products, and operations. As their ML capabilities mature, they build centralized ML Platforms to serve many teams and users across their organization. Machine learning is inherently an experimental process requiring repeated iterations. An ML Platform standardizes the model development and deployment workflow to …
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World-Class: NVIDIA Research Builds AI Model to Populate Virtual Worlds With 3D Objects, Characters
The massive virtual worlds created by growing numbers of companies and creators could be more easily populated with a diverse array of 3D buildings, vehicles, characters and more — thanks to a new AI model from NVIDIA Research. Trained using only 2D images, NVIDIA GET3D generates 3D shapes with high-fidelity textures and complex geometric details. …
Unlocking AI at the edge with new tools from Deci
Key to edge AI and computer vision, Deci AI this week has released a set of semantic segmentation models, DeciSeg.Read More
Why DeepMind isn’t deploying its new AI chatbot — and what it means for responsible AI
DeepMind considers Sparrow to be a research-based, proof-of-concept model that is not ready to be deployed.Read More
The DeanBeat: Nvidia CEO Jensen Huang says AI will auto-populate the 3D imagery of the metaverse
Nvidia CEO Jensen Huang says AI will auto-populate the 3D imagery of the metaverse.Read More