Hub AI in practice
Artificial Intelligence is present in everyday life – from “googling” to facial recognition to vacuum cleaner robots. AI tools are becoming more and more elaborate and support people and companies more effectively in their tasks, such as generating graphics, texting or coding, or interpreting large amounts of data.
What AI tools are there, how do they work, how do they help in our everyday world – and how do they change our lives? These are the questions we address in our Content Hub Artificial Intelligence in Practice.
Google's MatCha is a foundation model trained for both chart de-rendering and mathematical reasoning. Chart de-rendering explores the reverse engineering of charts, plots, or graphics to reveal their underlying data table or code, while math reasoning seeks to solve question-based problems on textual mathematical datasets. By combining these tasks, MatCha significantly outperforms existing models for visual language understanding of charts. The researchers also proposed DePlot, a model built on top of MatCha for improved reasoning on charts through translation to tables.
