The Quantum Superposition Project Scheduling and Critical Path represents a cutting-edge methodological and operational challenge in advanced technology project management, arising from the fundamental transition toward quantum computing environments. In traditional deterministic and even probabilistic project manageme...
Cloud-centric systems face challenges in meeting the requirements of real-time Internet of Things (IoT) applications. IoT applications are integrated with Artificial Intelligence to facilitate real-time analytics. An Edge computing paradigm is established that improves the performance of applications in a decentralised...
Ayesha Abdul Majeed· Research Portal (Queen's Uni...· 0 citations
Graph algorithms find several usages in industry, science, humanities, and technology. The fast-growing size of graph datasets in the context of the processing model of the current hardware has resulted in different bottlenecks such as memory locality, work-efficiency, and load-balance that degrade the performance. To...
Mohsen Koohi Esfahani· Research Portal (Queen's Uni...· 0 citations
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Cloud computing environments are increasingly vulnerable to Distributed Denial-of-Service (DDoS) attacks and sophisticated cyber intrusions that compromise service availability, scalability, and operational security. In this research, we have developed a resilient cloud-based intrusion detection framework using a hybri...
Sandeep Bhattacharjee· Indian Journal of Computer S...· 0 citations
For over seven decades, computer architecture has operated under a single, unstated dogma: that physical space, continuous motion, field mechanics, and multi-agent coordination must be forcibly flattened into the unoriented, one-dimensional byte array of the von Neumann machine. While this linear abstraction democratiz...
Elias Oulad Brahim· Zenodo (CERN European Organi...· 0 citations
Trained models, per-sample test predictions and analysis outputs for the revised article "Compact sensor-aided millimeter-wave beam prediction runs in real time on low-cost edge hardware" (Scientific Reports, under revision). Code: https://github.com/himansh24dev/compute-efficient-beam-prediction (branch "revision").Da...
Himanshu Sharma, Tarun Jain, Deependra Singh et al.· Zenodo (CERN European Organi...· 0 citations
For over seven decades, computer architecture has operated under a single, unstated dogma: that physical space, continuous motion, field mechanics, and multi-agent coordination must be forcibly flattened into the unoriented, one-dimensional byte array of the von Neumann machine. While this linear abstraction democratiz...
Elias Oulad Brahim· Zenodo (CERN European Organi...· 0 citations
EMAP-SSN v0.3.0 EMAP-SSN v0.3.0 adds 3D layout generation with reproducible seeds and an optional VR viewer, protein-property metadata computed from the input FASTA, and residue-level alignment inspection over MCP. It installs ESM and Transformers from PyPI instead of bundling wheels, moves the managed environment to P...
Xuebin Feng· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) and big data analytics have moved from specialised technical functions to the core of how organizations compete, create value and organise work. This concluding chapter looks ahead. It examines the technological, organizational, regulatory and societal trends that are likely to shape the ne...
Antony Ronald Reagan Panguraj· Zenodo (CERN European Organi...· 0 citations
This technical note documents the empirical field validation of the Flash Liquidity Vacuum Protocol (FLVP; Rule FP-IV-A) under the Quad-Clock Event Architecture during the September 30, 2026 trading session. Focusing on high-impact exogenous shock windows—specifically the 16:00 EDT mega-cap earnings release (Micron / M...
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026