WorldQuant University (WQU) has launched the Deep Learning Fundamentals Lab, a free, 16-week online certificate program ...

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

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

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 is back with another AI announcement, and this time they’re really swinging for the fences. The Chinese tech giant just ...

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.

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

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 ...

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 ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...