The rapid advent of internet of things (IoT) and smart edge–cloud infrastructures has intensified the demand for miniature embedded devices that meet tight power and performance constraints under dynamically changing conditions. While technology scaling and lower supply voltages have enabled ever-smaller, low-power sys...
Georgios Chatzitsompanis· Research Portal (Queen's Uni...· 0 citations
We present the Monte Carlo integration code MoCaNLO, which computes cross sections and distributions for processes at high-energy colliders like the LHC at leading and next-to-leading order (NLO) in the strong and electroweak couplings. It relies on the Recola package for the calculation of matrix elements and uses Cat...
Ansgar Denner, Daniele Lombardi, Santiago Lopez Portillo Chavez et al.· Zenodo (CERN European Organi...· 0 citations
Critical infrastructure underpins day-to-day life and is crucial to maintaining living standards and public health. Much of critical infrastructure is built upon Industrial Control Systems (ICS) that have been undergoing a digital transformation fuelled by the promotion of Industry 4.0 concepts, such as edge-computing,...
David Mark Allison· Research Portal (Queen's Uni...· 0 citations
Cardiovascular diseases (CVDs) present one of the biggest healthcare challenges in our society and remain the leading cause of death globally. Additionally, in the context of the ageing of the global population, case numbers and costs associated with CVD are expected to rise. When an artery gets blocked by plaque build...
Lison Rocher· Research Portal (Queen's Uni...· 0 citations
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Edge computing has the advantage of harnessing compute capabilities on remote resources located at the edge of the network to run workloads of relatively weak user devices. On the other hand, cloud computing offers compute capabilities on remote resources located, generally, geographically far from user devices on subs...
Jason Neil Kennedy· Research Portal (Queen's Uni...· 0 citations
ABSTRACT Virtual Network Embedding (VNE) is the core combinatorial problem of Network Slicing, a 5G technology which enables telecommunication operators to propose diverse service‐dedicated virtual networks, embedded onto a common substrate network. VNE asks for a minimum‐cost mapping of a virtual network on a substrat...
Amal Benhamiche, Pierre Fouilhoux, Lucas Létocart et al.· Networks· 0 citations
Abstract Neuromorphic engineering makes use of mixed-signal analog and digital circuits to directly emulate the computational principles of biological brains. Such electronic systems offer a high degree of adaptability, robustness, and energy efficiency across a wide range of tasks, from edge computing to robotics. Wit...
Loris Mendolia, Chenxi Wen, Elisabetta Chicca et al.· Neuromorphic Computing and E...· 0 citations
Modern plasma physics research is increasingly realizing the potential for cutting edge laser-produced plasma experiments to be exploited in order to investigate astrophysically relevant phenomena. Of particular interest are collisionless shocks, and the physics of the weakly collisional regime generally. While ubiquit...
Pierce McGinn· Research Portal (Queen's Uni...· 0 citations
Current computing techniques using the Cloud as a centralised server will become untenable as billions of devices get connected to the Internet. This will lead to the degradation of the Quality-of-Service (QoS) of Cloud-hosted applications. Recently Edge computing is proposed as a potential solution, which leverages co...
Nan Wang· Research Portal (Queen's Uni...· 1 citation
artficial 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 nex...
Antony Ronald Reagan Panguraj· Zenodo (CERN European Organi...· 0 citations
Computational Chemical Engineering Explained: Models & Simulation serves as an open educational resource (OER) curriculum framework and foundational reference manual connecting first-principles transport phenomena, numerical methods, and modern data-driven architectures to chemical process design and control. Developed...
Prep4Uni.Online· Zenodo (CERN European Organi...· 0 citations
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
