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.
Get the few papers worth your time in Emerging Technologies every morning.
Follow Emerging Technologies and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 7
Sufficient quantum provenance: retained fields and certified recording precision
Which execution details must a quantum computation retain, and to what precision, to support a declared comparison?Perspective: Content-addressable memories as a computing primitive for today's AI and beyond
Modern artificial intelligence is predominantly executed on computing architectures optimized for dense linear algebra.Analytical Modeling of Open- and Closed-Loop Dispersive Molecular Communication Channels with Pulsatile Flow
Molecular communication (MC) is a communication paradigm in which information is conveyed through the release, propagation, and reception of molecules.Scaling Quantum Optimization to the Thousand-Qubit Scale with Distributed Quantum Sampling
The Minimum Birkhoff Decomposition (MBD) seeks a sparse weighted sum of matchings and is a challenging optimization problem with applications in network scheduling and energy trading.Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model Agents
Small language models (SLMs) are attractive as local agent controllers because they reduce remote inference, latency, and deployment footprint, yet structured tool errors can cause an agent step to…A gem5-based Simulation Framework for Computing-in-DRAM
Computing-in-Memory using DRAM (CIMD) has demonstrated substantial energy and throughput gains for memory-bound workloads consisting of bulk-bitwise operations, by performing computation directly…Hugging Suit: Pneumatically-Actuated System Design for Remote Haptic Experiences
The COVID-19 pandemic emphasised the importance of remote emotional communication and highlighted a gap in existing technologies that lack haptic channels.Infrastructure-Native Computing with Electric Power Grids
Computing is conventionally implemented by hardware engineered for information processing.Physical Design Automation for Planar Superconducting Quantum Chips
Superconducting circuits have emerged as one of the most promising and scalable platforms for quantum com- puting, with substantial industrial adoption driving qubit counts steadily upward.CXDVirt: Low Latency Kernel Module Based CXL-SSD Emulation
CXL-SSDs promise memory-semantic access to NAND-scale capacity through a small in-device DRAM cache, but scarce hardware makes emulation central to CXL-SSD research.Agentic-ZTA: A Multi-Agent Architecture for Autonomous Zero Trust Enforcement
Agentic AI is emerging as a promising paradigm for automating complex cybersecurity decisions, yet its use in enforcing zero trust introduces significant challenges in safety, reliability, and…From communication to computation in neurons-on-a-chip: an in silico study of neurotopomorphic computing
Living neuronal networks transform inputs through recurrent cellular and population dynamics, yet it is unknown which network architecture supports which computation.Agentic schema-guided extraction of materials process knowledge from scientific literature
Materials literature contains detailed experimental knowledge, but procedures, chemical entities and measurements remain difficult to aggregate because they are reported in heterogeneous forms and…Hybrid Classical-Quantum Solutions to Accelerate the Adoption of Quantum Computing
Despite the promise and potential of quantum computing, most of the current day developments of quantum computing have several limitations for relevant practical use.Learning Disentangled Representations with Quantum Variational Autoencoders
Variational autoencoders are powerful representation learning models that map complex data into low-dimensional latent spaces, enabling the discovery of interpretable and disentangled factors.Energy-Conditioned Noise Schedule and Whitening for Spectral Diffusion
This paper introduces an energy-adaptive noise scheduling and whitening strategy for transform-domain diffusion models.Resource-Aware Grover Search for Minimum Vertex Cover
The Minimum Vertex Cover (MVC) problem is a fundamental NP-hard combinatorial optimization problem with applications in network analysis and resource allocation.Synapse Loss Estimation for the BrainScaleS Wafer-scale Neuromorphic System
Neuromorphic hardware combines memory (synapses) and computation (neurons) into the same silicon substrate to avoid the von-Neumann bottleneck.Targeted search shows that random-device testing underestimates worst-case error in a simulated wave-based neural operator
Wave-based processors promise fast, energy-efficient Fourier layers for neural operators.RAOA: Alternating-Operator Neural Computation with Programmable Radio Propagation
Can programmable radio propagation serve as computational depth rather than only as a communication channel or one-shot analog transform?