Based on our results, we recommend Graph Neural Networks for physics simulation workloads. The TF-GNN API has a steep initial learning curve for using its data layer, especially if there is no data ...

With all the talk about the New England Patriots cheating by underinflating 11 of 12 game balls in this year’s AFC Championship game, I really want to believe that cheating was not the reason ...

The fast, non-hardware-dependent capabilities of Unity Simulation Pro are a key reason why the Allen Institute of AI and Carnegie Mellon University use the solution to help train robots to perform ...

Fujitsu and Fujitsu Laboratories have now successfully developed technology that shows the reason and basis for an AI inference by connecting the results of Deep Tensor findings with knowledge stored ...

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. Tesla’s founder Elon Musk generated headlines once again this week ...