Dhruv Patel's work demonstrates how advanced expertise in distributed systems, AI, and cybersecurity can influence digital ...

Madras are set to address some of the most fundamental challenges in computing, spanning cryptography, Artificial Intelligence and quantum technologies through a major new research initiative focused ...

To take humans back to the Moon, NASA has engineered a "fail-silent" architecture that handles everything from cosmic-ray bit ...

MicroCloud Hologram Inc. plans to develop a quantum-resistant protocol based on a multi-layered hybrid cryptographic architecture, which will introduce a parallel validation mechanism for post-quantum ...

From CERN testbeds to telecom ops, quantum technology is reshaping how networks are built, secured, and optimized ...

Algorithmic transparency is another critical issue. AI systems often operate as complex, opaque models, making it difficult for users to understand how decisions are made. This lack of transparency ...

AI-RAN, or artificial intelligence radio area networks, is a reimagining of what wireless infrastructure can do. Rather than treating the network as a passive conduit for data, AI-RAN turns it into an ...

Web3 infrastructure and tokenization transform global finance, enabling secure, transparent, real-time digital ownership systems worldwide.

In late-stage testing of a distributed AI platform, engineers sometimes encounter a perplexing situation: every monitoring dashboard reads “healthy,” yet users report that the system’s decisions are ...

At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time.

To this day, in the known universe, only one example exists of a system capable of general-purpose intelligence. That system ...