As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

In this modern era, Vamsi Praveen Karanam, a researcher in the field of distributed systems and cloud-native computing, presents a thoughtful exploration into t ...

The paper identifies several technological enablers that together define a roadmap for greener connectivity. Low Power Wide ...

Smart warehouses operate through a coordinated system of advanced technologies that automate logistics functions, increase throughput and enable real-time operational visibility. Central to this ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

The rise of FML allows systems to become progressively more intelligent and autonomous by using on-device data and sharing only encrypted model updates.

Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics ' Master of Science in Artificial Intelligence and Machine Learning (MSAIML ...

AI workloads are testing traditional centralized systems beyond their limits. Incentivizing distributed energy and data is the answer, says Greg Osuri, CEO of Akash Network.

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

Artificial intelligence (AI) is infamous for its resource-heavy training, but a new study may have found a solution in a novel communications system, called ZEN, that markedly improves the way large ...