Imagine teaching someone to draw complex, scientific diagrams by only describing the picture. That’s the idea behind CoSyn, a new tool from Penn Engineering and the Allen Institute for AI. CoSyn uses ...

Their tool, CoSyn (short for Code-Guided Synthesis), taps open-source AI models’ coding skills to render text-rich images and generate relevant questions and answers, giving other AI systems the data ...

Earlier this year, the Department of Defense (DoD) published an “Intellectual Property Guidebook for DoD Acquisition.” It is the culmination of ...

KEY POINTS <li /> Numerous significant drill-ready targets defined at Green Bay using extensive geophysical surveys <p ...

I’m back from the International Conference on Machine Learning in Vancouver, one of the biggest annual meetups for artificial intelligence researchers. And this year, the conference underscored all ...

The total volume of data in the world has grown exponentially in recent years. We explore the developments behind this transformation and how IROs can navigate today’s increasingly data-rich ...

Organizing data in a specific order, also known as sorting, is a central computing operation performed by a wide range of ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models.

Tabular data is at the heart of scientific analysis—whether in medicine, the social sciences, or even archaeology. Making it ...

Here are four foundational insights about document intelligence that enterprise financial services leaders should consider.

As AI workloads hit data movement bottlenecks, MIT spinoff Lightmatter is betting that photonics, not more transistors, holds the key to next-generation infrastructure. After years of pioneering ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...