Researchers have developed an explainable ensemble learning framework that fuses deep CNN features with handcrafted HOG and ...

Pune: AI-powered multi-agent framework research designed to make software testing more autonomous has received the Best Paper Award at the International IEEE Conference on Applied Intelligence and ...

An automated deep learning model using OCT data can accurately predict the need for anti-VEGF therapy in patients with AMD.

A new deep reinforcement learning framework published in Cluster Computing enables cloud networks to dynamically recompose ...

A research team led by experts from IBM and Google has developed MAAT, an autonomous multi-agent framework that significantly improves software testing efficiency and accuracy, earning top honors at ...

There’s a running joke among frequent travelers that you can always spot a Sagittarius at a hostel check-in desk. It’s partly ...

Learn how automated AI video classification tracks scavenging wildlife around farm deadboxes to prevent mechanical pathogen ...

Explainable Artificial Intelligence (XAI) encompasses a broad spectrum of methods that aim to enhance the transparency of deep learning models, with Class Activation Mapping (CAM) methods widely used ...

Metrics such as mean squared error and control-referenced Pearson correlation are frequently miscalibrated, according to the ...

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and autoencoders support different t ...

Incorporating learning from historic social movements into tech education ignites student interest in shaping the future.