News
The representation of numbers in graphs should be proportional to the numbers themselves. Otherwise, they mislead or deceive. Examples of misleading graphs not drawn to scale and a figure with ...
1d
Tech Xplore on MSNNew framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysisBingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...
Graphs that are not drawn to scale mislead the reader. This post shows another example of a graph where the visual representation of the numbers is not proportional to the numbers themselves.
AI-scale Storage: This solution is purpose-built for AI and machine learning applications that demand high throughput, low latency, and reliable data storage solutions at scale.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results