Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML) techniques have been widely used for botnet detection with flow-based features. The prime challenges with ...

The wide-screen spectacle of Formula One gets a gleaming, rip-roaring workout in Joseph Kosinski's "F1," a fine-tuned machine ...

The wide-screen spectacle of Formula One gets a gleaming, rip-roaring workout in Joseph Kosinski’s “F1,” a fine-tuned machine ...

Amazon Web Services has been a key partner of Formula One, leveraging AI and cloud platforms to process and interpret data ...

Uber's decision to use AI to determine prices and driver pay could be the key to the ride-hailing company's financial ...

Microsoft recently announced Mu, a new small language model designed to integrate with the Windows 11 UI experience. Mu will ...

Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute ...

The super-producer whose beats moved the boundaries of Top 40 radio is chasing a new revolution: digital superstars and the ...

Project Overview This project aims to build a deep learning compiler and optimizer infrastructure that can provide automatic scalability and efficiency optimization for distributed and local execution ...

The company's line-of-business teams build on top of this platform, whether they're developing new products, running complex analytics, or experimenting with Machine Learning (ML) models. For data ...

Nerlnet is a framework for research and development of distributed machine learning models on IoT. python iot distributed-systems machine-learning erlang ai neural-network fault-tolerance ml cowboy ...