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 9
Phenomenon-Graph JEPA: Label-Efficient Representation Learning for Contactless Cardiorespiratory Sensing
Millimeter-wave (mmWave) radar and RGB-D cameras can record cardiac and respiratory waveforms continuously and without contact, but labeled recordings remain scarce because every label requires a…Modeling quantum neural network gradient with reinforcement learning
Training quantum neural networks (QNNs) on near-term hardware remains hampered by two compounding difficulties: the exponential vanishing of gradient variance known as the barren plateau, and the…Quantum Diffusion Models for Medical Image Analysis
Quantum Machine Learning is a novel field of research aimed at devising machine learning approaches exploiting principles of quantum mechanics, such as superposition, entanglement and interference.A Voltage-controlled MTJ-CMOS Neuron Emulating Tunable Izhikevich-Inspired Dynamics
Biological neurons exhibit diverse firing dynamics that enable adaptive and stimulus-dependent signalling, yet reproducing these dynamics in hardware has remained an enduring challenge.On Evaluating and Improving Conversational Agents in Production
We present a framework for evaluating and improving a large-scale, multi-agent shopping assistant in production, and report lessons from its use.A Quantum Circuit for Gaussian Elimination
A quantum circuit for Gaussian elimination is developed in this work.Claim-Gated Source-Risk Auditing for Generative Search
A generative search answer can cite a supported passage yet omit a source relationship that changes its interpretation.Evaluating the Effect of the Order of Optimization Passes in Quantum Circuit Optimization
Quantum circuit optimization is critical for mitigating the noise inherent in current quantum hardware.Dynamical Diversity for Reservoir Computing in Reconfigurable Nanomechanics
Physical reservoir computing uses nonlinear dynamics and a trained linear readout to process information.Tactile Sensing Array for Multi-Phalanx Sensing in Humanoid Hands
Humanoid hands require tactile feedback across the whole finger, not just the fingertip, to grasp and manipulate objects properly.SMARtCARE: Privacy-Preserving Agentic AI Systems for Bounded-Autonomy Clinical Decision Support
Long-context clinical AI systems can miss relevant patient history when prior admissions fall outside the active reasoning context.Quantum Reinforcement Learning for Cost and Delay Tradeoffs in Quantum Cloud Orchestration
Quantum cloud computing, delivered through the quantum-as-a-service (QaaS) model, provides access to quantum computing resources.Tensor Network Simulation of Dynamic Circuits
Dynamic circuits, which incorporate mid-circuit measurements and classically controlled operations, extend the expressive power of quantum programs and are central to applications such as quantum…TinyUDE: Solver-Free Universal Differential Equations on Microcontrollers via Lie-Taylor Jet Matching
Training Universal Differential Equations (UDEs) traditionally relies on backpropagating through numerical ODE solvers, creating memory footprints far exceeding the capabilities of edge…Trust in Edge-Enabled IoT Security: Features, Challenges and Research Directions
Providing autonomous intelligence, pervasive connectivity and usability to human life and industry has led to the emergence of the Internet of Things (IoT).Enhancing Shrimp Disease Detection via Deep Learning and Data Refinement for Resilient Aquaculture
Shrimp diseases continue to cause devastating losses in the aquaculture industry, driving a critical need for robust, automated detection.Physics-residual machine learning predicts oxygen-evolution catalyst activity beyond the training range from sparse polarization measurements
Screening oxygen-evolution catalysts on combinatorial libraries requires deciding which candidates receive the remaining measurements.Bridging LLM Serving and CXL-SSDs with Chunk-Aware KV Cache Management
NAND-backed storage offers the capacity needed to scale LLM prefix caching, but its block I/O path incurs CPU cache contention and host-DRAM staging in addition to NAND latency.Fairly Compensated Distributed Information Retrieval and Augmentation for AI Agents
The increasing reliance of autonomous AI agents on external and distributed knowledge sources introduces a fundamental challenge for decentralized information marketplaces: retrieval agents must…APGEM: Adaptive Policy-Guided Error Mitigation for Quantum Reinforcement Learning on a Real-World CVRP Case Study
Quantum Reinforcement Learning (QRL) represents policies as variational quantum circuits (VQCs), making it attractive for combinatorial optimization such as the Capacitated Vehicle Routing Problem…