The Wenxin Large Model X1.1 is based on the training of Wenxin Large Model 4.5, with its core relying on an iterative mixed reinforcement learning training framework. The advantage of this framework ...

Wenxin X1.1 Deep Thinking Model Launched, Achieving SOTA in Multiple Benchmark Tests At the event, Baidu's Chief Technology Officer and Director of the National Engineering Research Center for Deep ...

Baidu launches Ernie X1.1 with major accuracy and agent upgrades, claiming it beats DeepSeek R1 and rivals GPT-5. Now live on ...

Instead of retraining the LLM, the agent consults a dynamic store of past outcomes to make smarter decisions for new tasks.

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

Transformer models adapted from natural language processing, such as BERT, identify semantic flaws in code, including ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

Gathering and processing this data is time consuming and expensive, limiting the models' use to areas with long-term data records and high-powered computers. To overcome these limitations, the ...

A team of scientists at Georgia Southern University has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a ...