Rafida

Artificial intelligence has made significant progress in understanding different types of information. Language models can process large volumes of text, while computer vision systems can identify objects, analyze images, and detect patterns in visual data. However, real-world environments are much more complex than individual documents or images. Multimodal AI training data is becoming increasingly important […]

Artificial intelligence has come a long way. Today, AI systems can recognize objects, understand images, process language, and respond to human instructions. But recognizing what is happening right now is only part of the challenge. The next step is helping AI understand how the physical world changes and predict what might happen next. Imagine an

Imagine teaching a robot to make a cup of coffee. You pick up a cup, place it on the table, reach for the coffee pot, pour the coffee, and put the pot back. For a person watching this demonstration, the process looks simple. For a robot, however, every step contains useful information. The robot needs