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Search: “hardware”

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Hardware

The Context-Ready Transformer

DGX agent

arXiv:2606.27538v1 Announce Type: cross Abstract: We introduce the context-ready transformer, a new recurrent neural network architecture built from a D-layer transformer block that pre-contextualizes

hardwarearxiv-cs-ai

29 Jun 2026

Hardware

Blackwell Approachability and Gradient Equilibrium are Equivalent

DGX agent

arXiv:2606.27315v1 Announce Type: new Abstract: Gradient equilibrium (GEQ) is a recently introduced online optimization framework that generalizes first-order stationarity from offline optimization an

Search: “hardware”

The Context-Ready Transformer

Blackwell Approachability and Gradient Equilibrium are Equivalent

CARVE: Content-Aware Recurrent with Value Efficiency for Chunk-Parallel Linear Attention

CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs

Compiler-Driven Approximation Tuning for Hyperdimensional Computing

DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers

Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games

Hierarchical Muon: Tiled Newton-Schulz Updates for Efficient Muon Optimization

OctoSense: Self-Supervised Learning for Multimodal Robot Perception

Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting

ProtoKV: Streaming Video Understanding under Delayed Query with Summary-State Memory

TaskNPoint: How to Teach Your Humanoid to Hit a Backhand in Minutes

Agentic evolution of physically constrained foundation models

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA

JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting

Power-Flexible AI Data Centers: A New Paradigm for Grid-Responsive Compute

SA-LIVO: Efficient LiDAR-Inertial-Visual Odometry with Subspace-Aware Degeneracy Handling

Configurable Holography: Towards Display and Scene Adaptation

Differentiable Packing of Irregular 3D Objects with Adaptive Container Estimation

NoContactNoWorries: Estimating Contact through Vision and Proprioception for In-Hand Dexterous Manipulation

VoltanaLLM: Energy-Efficient and SLO-Aware Disaggregated LLM Serving via Adaptive Frequency Control and State-Space Routing

A Differentiable Atari VCS:A Complex, Fully Known Ground Truth for Explainable AI

ACEsplat: Accelerated 3D Gaussian Scene Regression via RGB and Poses Only

An Analysis of Untrained Deep Reservoir Networks for Audio Surveillance

BAC-JEPA: Label-Efficient Breast Arterial Calcification Segmentation via Synthetic Mammography-Guided Supervision

BatchGen: An Architecture for Scalable and Efficient Batch Inference

Concordia: JIT-Compiled Persistent-Kernel Checkpointing for Fault-Tolerant LLM Inference

FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism

FGGS-LiDAR: Ultra-Fast, GPU-Accelerated Simulation from General 3DGS Models to LiDAR

FleetAgent: Teleoperation Assistant for Autonomous Fleets via Vectorized V2N Messages

FoMoE: Breaking the Full-Replica Barrier with a Federation of MoEs

GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation

HERALD: High-Throughput Block Diffusion LLM Serving via CPU-GPU Cooperative KV Cache Retrieval

Line Drawings using LightBenders: Authoring and Illuminating

Multi-cancer detection using a computationally efficient CNN with transfer learning

Quantum Convolutional Neural Networks for Groundwater Heat Plume Prediction: A Surrogate Modeling Approach

RAVEN: Agentic RAG for Automated Vulnerability Repair

Real-time pedestrian attribute recognition with YOLOv8 and ResNet18

Scalable Physics-Inspired Transformers for Spin Glasses

SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning

The Reservoir Attention Network: Cross-Pass State in Pretrained Transformers via Content-Addressable Reservoir Injection

Vec-QMDP: Vectorized POMDP Planning on CPUs for Real-Time Autonomous Driving

A Scalable PyTorch Abstraction for Multi-GPU Gaussian Splatting

AI4Land: Scalable Deep Learning for Global High-Resolution Land Use Reconstruction

Characterizing Software Aging in GPU-Based LLM Serving Systems

Echoes of the Prior: A Computational Phenomenology of Forgetting

From Simulation to Real-World: An In-Field 6D Pose Dataset and Baseline for Robotic Strawberry Harvesting

INFRAMIND: Infrastructure-Aware Multi-Agent Orchestration