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 5
Graphlet-based Decentralized Finance Transaction Method Classification
Decentralized Finance (DeFi) transactions involve complex interactions among accounts, smart contracts, and tokens.HBFSim: A Simulator for Exploring HBF in Memory Hierarchies for LLMs
High Bandwidth Flash (HBF) has recently emerged as a promising technology that provides terabyte-scale accelerator-local capacity at bandwidths approaching HBM, with a potential cost-per-bit…Can Compact Open-Weight Large Language Models Recover Mobility Events from Incomplete Trajectories? A Controlled Evaluation Using Air Trips
Incomplete mobility trajectories can obscure the observations needed to identify important travel events and their endpoints.Audio-Based Condition Monitoring for Agricultural Machinery: Stakeholder Needs, Adoption Barriers, and MVP Requirements
Failures of agricultural machinery are costly when breakdowns occur during narrow work windows and are discovered too late for planned service.Beyond Generation: Using Multimodal LLMs as Detectors of LLM-Generated Deepfake Facial Images
As image generation models become increasingly capable of producing highly realistic content, traditional forensic techniques are struggling to keep up.SynDebug: A Framework to Debug Logic Bugs in Fault-Tolerant Quantum Computing Programs
Fault-tolerant quantum computing (FTQC) introduces substantial systems-level complexity through quantum error correction (QEC), making debugging FTQC programs challenging.Agentic AI in Automated Markets
Automated markets increasingly host autonomous, learning trading agents and are powered by formulaic automated market makers (AMMs).Hopfield Networks in Non-volatile Memory
Many important computational workloads are bound by the performance of the memory system that supplies data to conventional processors.Cross-Layer Co-Design of Low-Latency Stateful Logic Adders with Printed Memristors
Data movement between memory and processing units remains a major bottleneck in data-centric systems.Exact Cap Response and Aperture Selection for Molecular Communication under Aligned Drift
Spatial reception under directed molecule transport requires balancing useful molecule capture against intersymbol interference (ISI).Closed-Form Optimal Weight Splitting for Matrix-Vector Multiply on Noisy In-Memory Accelerators
Analog in-memory computing performs the matrix-vector multiplications of neural networks directly inside the memory array, which saves time and energy.Analog RF Computing for Integrated Data and AI Flows Over Wireless Networks
Many resource-constrained edge devices require artificial intelligence (AI) services but are not powerful enough to store or execute neural networks (NNs).Reducing QUBO Complexity in Drone Delivery Through Classical Feasibility Preprocessing
Drone-delivery planning combines routing decisions with operational constraints such as payload capacity and limited onboard energy, resulting in combinatorial optimization problems that can become…PADO-Pauli: A GPU-Accelerated Implementation of Pauli Propagation
Variational quantum algorithms utilize parameterized circuits many times during training, at new parameter values, over batches of data, and with gradients.Two-State Dynamical Synapses as a Physical Substrate for Equilibrium Propagation
Equilibrium Propagation (EqProp) updates each synapse by comparing a local term at the free and nudged equilibria.Lifting: Quantum State Discrimination Framework for Mid-Circuit Measurements
Quantum computing promises new capabilities beyond classical computation.HILO: Enabling Low-power, Dual-Band Communication using Tunnel Diode Oscillators
Wireless communication remains the most power-consuming operation in embedded systems.Bio-Inspired Electrotactile Feedback: A Framework and Impacts of Multimodal Cues
Electrotactile stimulation, as a haptic feedback method, often struggles to evoke high-quality natural sensations.Whose Data, Whose Benchmark? A User-Centric Framework for Auditing Evaluation Resources
Benchmarks shape how model capabilities are measured and interpreted, yet their scores can obscure whose conventions, contexts, and judgments define successful performance.Toward Partitioned Reference Readout for Four-Level IGZO Memory: Device Statistics, Confusion Matrices, and INT4 Error Propagation
Four-level indium-gallium-zinc oxide (IGZO) 2T0C memory needs reliable state formation, sensing references, and a path from cell errors to digital weights.