Backprop

Mohit Agarwal's work provides valuable insights into the transformative capabilities of MARL, highlighting its potential to drive innovation and efficiency in complex, real-time environments.

BERT stands for Bidirectional Encoder Representations from Transformers. It is a type of deep learning model developed by Google in 2018, primarily used in natural language processing tasks such as text generation, question-answering, and language translation.

Gemini 2.5 Pro represents a significant step forward in AI model design, combining raw power with refined reasoning capabilities that directly address complex, real-world tasks.

The startup's tool, also called Browser Use, has attracted tons of attention from developers of AI agents, which are AI systems that can complete tasks autonomously on behalf of users, because it gives them a key capability - it lets them browse the internet in the same manner as humans do.

DAPO is a scalable reinforcement learning algorithm that helps a large language model achieve better complex reasoning behaviour.

Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks, authored by Shify Treger and Shimon Ullman from the Weizmann Institute of Science,

The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers have developed a method that is 100 times faster and therefore much more energy efficient.

Browser Operator forms a part of the Aria AI overlay you're probably already familiar with in Opera One R2 and Opera Air. Just flip over to the Operator, enter your prompt and watch it get to work.