The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

Lenovo’s third new AI system is likewise based on its SR675 server series. It’s optimized to run IBM Corp.’s watsonx software ...

The architecture proposed by St. Petersburg State University physicists belongs to the class of Binary Neural Networks (BNN) working with binary input and output signals of neurons. Unlike traditional ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid ...

transformer model: A neural network architecture and deep learning model that learns context by tracking relationships in data, like in sentences or parts of images.

Neural network (NN) accelerators based on resistive random access memory (ReRAM) have been widely investigated as a promising solution to address the memory wall challenge, due to its capability of ...

New platform claimed to bring together all the capabilities required to accelerate the journey to full network automation in ...

As AI agents grow more powerful and unpredictable, Cisco unveils tools to lock down networks, track agent behavior, and prevent chaos before it spreads through your infrastructure.

Muninder Singh Sambi, VP and general manager for networking and security at Google Cloud, said: “Nokia’s Autonomous Network Fabric taps Nokia’s deep telecom domain knowledge combined with Google Cloud ...