I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...

Today, Mirai is developing a framework for models so they can perform better on devices. The company has built an inference ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (incubating). GluonTS provides utilities for loading and iterating over time series datasets, state of the ...

Jan 13 (Reuters) - Microsoft (MSFT.O), opens new tab on Tuesday unveiled an initiative to curb water usage at its U.S. data centers and limit the impact on the general population from any potential ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

Prompt & Negative Prompt Aspect Ratio (16:9, 9:16) Person Generation Safety Settings Seed Control for reproducible results Real-time Logging: Integrated console output within the GUI for monitoring ...

MISMO provides the shared data model and prescriptive standards that create the common language enabling consistent, scalable, and modern mortgage lending across the industry Ask five mortgage ...

The CMS Innovation Center has debuted a new model to encourage the use of technology to treat chronic diseases, which could be a boon for health tech companies that have struggled with reimbursement.