Satellite imagery promises to play an essential role in creating digital twins that could help model carbon emissions, increase farming yields and monitor the oceans. One hope is that the rising volume of satellite data could automatically detect changes, predict trends and recommend actions.
However, much of this data, in the form of multispectral imagery, lidar and radar data, is outside the…
The role of AI in data privacy
June 2, 2022
In 2021, consumers became very aware of data privacy, especially as it is related to their rights regarding personal information gathered as they browse the internet and interact with websites. All companies, but especially ecommerce companies, are facing new challenges as…
Enterprises are increasingly adopting new digital technologies to help streamline and automate the design and manufacturing of physical products. Digital twins help organize and share much of this technical data. Digital threads connect changes to this data across a product…
The open-source TensorFlow machine learning library is getting faster, thanks to a collaboration between Google and Intel.
The open-source oneAPI Deep Neural Network Library (oneDNN) developed by Intel is now on by default in TensorFlow, a project led by Google. OneDNN is an open-source cross-platform performance library of deep learning building blocks that are intended for developers of both…
What is an embedding for AI?
June 1, 2022
When a question is presented to an artificial intelligence (AI) algorithm, it must be converted into a format that the algorithm can understand. This is often called “embedding a problem,” to use the verb form of the word. Scientists also use the word as a noun and talk…
Turning AI failure into AI success stories
May 31, 2022
It shouldn’t be much longer before the novelty of AI wears off and it becomes just another technology helping the enterprise become more efficient and more productive. But while the success rate for AI projects is improving and organizations are seeing real-world benefits…
The most powerful supercomputers on the planet are used to perform all manner of complex operations. Increasingly, they are used to enable artificial intelligence for research that could one day impact billions of people.
The world’s fastest and most powerful high-performance computing (HPC) supercomputers are front and center at the International Supercomputing Conference (ISC) which runs from…
AI reskilling: A solution to the worker crisis
May 30, 2022
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 – 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!
By 2025, the World Economic Forum estimates that 97 million new jobs may…
Many of today’s organizations base their business decisions largely on structured data such as credit card transactions and earnings reports. This type of data is often easy to search for and analyze, existing in predefined formats that help companies determine which…
TigerGraph, maker of a graph analytics platform for data scientists, during its Graph & AI Summit event today introduced its TigerGraph ML (Machine Learning) Workbench, a new-gen toolkit that ostensibly will enable analysts to improve ML model accuracy significantly and shorten development cycles.
Workbench does this while using familiar tools, workflows, and libraries in a single…
