Systems & Networks · Computer Science & AI
Emerging Technologies
The newest papers in Emerging Technologies that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
204 papers, from 4 September 2026 to 5 November 2026: 204 arXiv preprints.
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Newest papers, page 4
The Path to NDE 4.0: A Review of Algorithms, Techniques, and Strategies for Autonomous Inspection
Non-Destructive Inspection (NDI) is a cornerstone of modern quality assurance, critical for ensuring the safety and reliability of infrastructure and manufactured components without causing damage.Local learning with imperfect analog synapses
Analog in-memory computing delivers efficient neural network inference at the edge, but systems deployed in non-stationary environments may need to adapt in situ to locally acquired data.Quantum Broker: QoS-Aware Distribution of Quantum Computations
Cloud-accessible quantum computing has made heterogeneous Quantum Processing Units (QPUs) available through provider platforms that differ in qubit technology, calibration state, queueing behavior…When Better Opportunities Backfire: Service Worker Responses to Parallel AI Deployment in Customer Acquisition
As AI voice agents get deployed in high-volume contact centers, firms can route low-intent leads to AI and allocate high-intent leads to human workers.Online Scheduling and Distribution of Quantum Circuits over Quantum Networks
Emerging quantum networks enable distributed quantum computing (DQC) by interconnecting modest, noisy quantum processors.Distributing Quantum Circuits Using Pre-Distributed Entanglement Pairs over Quantum Networks
Distributing quantum circuits across a network of quantum devices is a recent approach to improve the scalability of quantum computation.Superposed analog memory for vector storage in neural networks
The growing memory demands of artificial neural networks pose a major challenge for energy-efficient computing, particularly for models that rely on large collections of high-dimensional weight and…Bidirectionality is Necessary in Cellular Machines for Exact-Arrival Multi-Agent Path Finding
On ranked directed acyclic graphs coupled by vertex conflicts we study exact-arrival multi-agent path finding (departure and arrival pinned in place and time) posed as a distributed output task…KrMM Recurrences: HPC-Enhanced Estimators for Nonlinear Classical Shadows
While quantum technologies are rapidly evolving, near-term applications heavily rely on hybrid quantum-classical paradigms.UnO-NeSy: Optimizing Neuro-Symbolic Computing with Unified FeFET Based In-Memory System
Neuro-symbolic artificial intelligence (NeSy AI) combines neural perception with symbolic reasoning, enabling logical reasoning.Sustainable Processing-in-DRAM Integration and Replacement for Transformer Inference Servers
Processing-in-DRAM (PID) accelerators are emerging as a sustainable alternative to GPUs for transformer model inference.Quantum-Classical Hybrid Methods for Optimization: Lessons from Classical Decomposition
Quantum and physics-inspired solvers provide specialized sampling interfaces for Ising and quadratic unconstrained binary optimization models, but constrained optimization requires broader…M3D-FLOW: A Monolithic 3-D-Stackable Processing-Near-DRAM Architecture for Generative Normalizing Flow Applications
Normalizing Flows (NFs) have shown strong results in generative modeling, recently reaching state-of-the-art image generation performance.Green Light: Carbon-Aware Design of Photonic Transformer Accelerators at the Edge
Migrating transformer inference to the edge requires sustainability considerations that encompass both operation and manufacturing, rather than operational energy alone.On Pearl Blockchain's Proof of Useful Work: Systematization and Flexibility
We revisit the proof-of-useful-work (PoUW) scheme in Pearl blockchain's white paper (Pearl Research Team), giving a systematic sensitivity characterization as an alternative to its Jackpot policy…Energy-optimal scheduling for clocked reversible computing
Computational dissipation may arise from both information erasure and finite-time operation, although both contributions can in principle be avoided in the absence of space and time constraints.Next Token or Vector? Learning How Far to Decode
Standard autoregressive decoding advances one token at a time, even when several upcoming tokens can be predicted together.SemQBench: Benchmarking Decomposition-Aware Runtime Policies for Quantum-HPC Search
Quantum processors are increasingly used as accelerators inside high-performance computing (HPC) workflows.An Embedded Industrial Irrigation System with Weather-Integrated Intelligent Scheduling
Efficient irrigation management requires timely responses to soil moisture conditions and anticipated weather changes.Surveying Experimentally-Validated Components for DNA-Based Molecular Communication
Molecular communication is a novel paradigm for the design of nanonetworks.