Bridging AI- and experimental-led materials discovery with better database architecture

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...
Business Wire

Hammerspace Unveils Reference Architecture for Large Language Model Training

SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the Next Data Cycle, today released the data architecture being used for training inference for Large Language Models (LLMs) ...

Snowflake expands open data strategy with Iceberg V3 support and governance portability plan

Snowflake Inc. is expanding its open data architecture strategy with a set of interoperability enhancements that aim to ...
Semiconductor Engineering

Usage Models Driving Data Center Architecture Changes

Data center architectures are undergoing a significant change, fueled by more data and much greater usage from remote locations. Part of this shift involves the need to move some processing closer to ...
dbta

Arriving at Data Model Quality

Data architects live in a world caged by bars of process, standards, and documented procedures—things many would consider a high ceremony lifestyle. As an industry, information technology has been ...
InfoQ

Data Engineering Innovations eMag

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...
Geeky Gadgets

Google Gemma 2 AI model architecture, training data and more explained

Google has released the second iteration of their open weight models, Gemma 2, which includes three models with 2, 9, and 27 billion parameters. Currently, only the 9 and 27 billion parameter models ...