Data retrieval and embeddings enhancements from MongoDB set the stage for a year of specialized AI - SiliconANGLE ...

MongoDB said additional partners and offerings are expected to be added to the startup program over time.

Abstract: This article proposes a low-cost de-embedding method for millimeter-wave (mm-wave) on-chip applications. For conventional de-embedding methods, a trade-off between applicable frequencies and ...

Cloud Architect at Amazon Web Services (AWS) specializing in cloud-native development, AI/ML, serverless compute, and event-driven architecture. Cloud Architect at Amazon Web Services (AWS) ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

New Oracle Autonomous AI Lakehouse supports the Apache Iceberg open table format, enabling customers to use the power of Oracle AI Database for their data lake data "By architecting AI and data ...

On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models. Called the Wikidata Embedding Project, the system applies a ...

This study aims at developing ring current proton flux models using four neural network architectures: a multilayer perceptron (MLP), a convolutional neural network (CNN), a long short-term memory ...

Vector embeddings are the backbone of modern enterprise AI, powering everything from retrieval-augmented generation (RAG) to semantic search. But a new study from Google DeepMind reveals a fundamental ...