Dr. Fatma Kocer, VP Engineering Data Science at Altair, says GDL and other techniques will unleash foundational models akin ...

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 ...

Diffbot is a startup focused on using artificial intelligence to better provide companies information found on the internet. The core product is a knowledge graph they claim has mapped “over 10 ...

When it comes to machine learning, it's the human learning curve that can be most crucial to the success of a project. At the FinDEVr New York conference in March, Sandeep Sood, vice president of ...

Ready to decode generative AI vs machine learning? Discover their differences and choose the best for your needs.

After raising $35 million from Invictus, energy-focused AI developer Novi Labs expects to launch its unique machine learning platform into other energy sectors outside of oil and gas— and possibly buy ...

Frameworks are only an intermediary step to the wider adoption of machine learning in applications. What’s needed are more visual products and those are still a couple of years away.

From analogies created by an algorithm that analyzed nearly 30,000 words in stories aggregated by Google News. Researchers at Boston University and Microsoft used the algorithm to reveal gender biases ...

That may not sound like a big deal in and of itself, but coupled with updates in machine learning and data science features, it points towards the future of graph databases.