The head of the AI video generation platform dives into the AI art debate tearing through the creative industry.

If you’re unsure about the load of different AI workloads, start with the cloud and keep a close eye on the associated costs by tagging every resource with the responsible team.

Iya Khalil, PhD, discusses Merck & Co.’s approach to artificial intelligence (AI), and success in applying the technology, ...

AMTM’s alluring prospects can be gleaned from a meaningful TAM (Total Addressable Market) of $320B, and the company’s own ...

In some applications, customers may want to run in parallel with the test program some computationally intensive AI/ML applications. In this case, they can implement DFF running AI/ML inferences, ...

Our recent recompletion mirrored the original 2013 results, testing combined flow from existing perforations at 5,076 - 5,080ft, 5,137 - 5,139ft, 5,191 - 5,193ft, 5,199 - 5,202ft and 5,261 - 5 ...

In this repo, we propose a novel training-free inference enhancement method for flow-based diffusion model, like FLUX and SD3.5. The brief paradigm of our method is illustrated below: The performance ...

Whereas on many motorways, traffic operations are permanently monitored, and long historical logs of such data exist, they are not directly usable for lane change studies, as they only register local ...

This reference architecture demonstrates how to build high-performance, scalable ML inference pipelines using Redis Stack. This solution is specifically designed for fraud detection but can be adapted ...

Machine-learning (ML) inference services are vital for artificial intelligence (AI) applications on edge devices. However, there are challenges to balance between maintaining high inference accuracy ...