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Hardware

Sionna RT: Technical Report

DGX agent

arXiv:2504.21719v3 Announce Type: replace-cross Abstract: Sionna is an open-source, GPU-accelerated library that, as of version 0.14, incorporates a ray tracer, Sionna RT, for simulating radio wave pr

hardwarearxiv-cs-ai

4 Sept 2026

Research

SISER: Speaker-Invariant Speech Emotion Recognition with Entropy-Based Adversarial Training

DGX agent

arXiv:2609.02941v1 Announce Type: cross Abstract: Speech emotion recognition (SER) faces two fundamental challenges: scarcity of labeled data and inter-speaker variability, both of which hinder genera

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Sionna RT: Technical Report

SISER: Speaker-Invariant Speech Emotion Recognition with Entropy-Based Adversarial Training

Skipping skills! First class tools... GLM-5.2

Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

SLIDEFORGE: An LLM Agent for Controllable Editing of Slides as Structured Artifacts

So much discussion on the emergent behaviors of agent swarms. This is a great read from Google DeepMind if you are tracking this research to…

Solving the Needle-in-a-Haystack Problem in Mammography Vision-Language Model with Differentiable Subset Sampling

sounds like the government testing standard fail to adequately factor in monitorability. that’s bad.

Sources: Abu Dhabi-based AI company G42 is exploring selling a majority stake to US companies, hoping to safeguard access to advanced AI chips beyond April 2027 (Bloomberg)

Sources: London-based AI infrastructure startup Nscale is in talks to raise as much as 3.5B in financing, including 2B from Nvidia, ahead of a planned IPO (Bloomberg)

Sources: US negotiators used the promise of access to Nvidia's chips for an Armenian data center to broker a preliminary Armenia-Azerbaijan peace deal last year (Robbie Whelan/Wall Street Journal)

Spanner migrations: Automating dual-write with Antigravity CLI for minimal disruption

SPARC: Spine with Prismatic And Revolute Compliance for Faster Quadrupedal Bounding

SPARK: Input-Conditioned Sparse Activation Modulation for Frozen DiT-based Super-Resolution

Sparse auto-regressive modeling for scene generation from multi-view images

Speak for Me: Giving LLMs the Situational Awareness to Participate in a Meeting

SpecAlign: Efficient Specification-Grounded Alignment of Large Language Models via Synthetic Data

Spectral characteristics of autoencoder parameters as a vector representation of data

Spectral Convergence of Random Feature Method in Multiple Dimensions

Spectral Hierarchy of the Cosmic Web

Speculative Macro Commit for Faster Tool-Using Agents

Spruce: Scalable Private Outsourced Retrieval Using Compact Embeddings

Spurious Advantage Hidden in GRPO

Stabilizing Camera-Controlled Novel View Synthesis at Inference Time

Stable and Scalable Bundle Adjustment of Holistic 3D Structures

STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentation

STARS-GS: Structure-Aware Regularized Gaussian Splatting for Large-Scale Aerial Surface Reconstruction

Statistical Feature Augmentation for Anomaly Detection in Dynamic Graphs

StrixAE: An Intelligent Agent for Audio Enhancement under Complex Distortion Coupling in Real-World Scenarios

Structure and Implementation of New Practical English Textbooks Driven by Artificial Intelligence

Structured Inference with Large Language Gibbs

Subspace Inference Enables Efficient Active Reward Learning from Preferences

SurfSpec: Enhancing Off-Target-Agnostic Specificity by Bounding Pocket-Ligand Geometric Mismatch

SurgeGen: A Hybrid Generative Diffusion Framework for Storm Surge Scenario Synthesis

SV-WAM: An Efficient Surround-View World-Action Model for End-to-End Autonomous Driving

SVG-Score: Human-Aligned Evaluation of Text-to-SVG Generation

SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents

SWIM: Student Writing Simulation via Proficiency-Conditioned Generation

Symmetries and Causality: Causal Effect Identification Beyond IID Data

Synthetic Semantic Supervision for Contrastive Code Representation Learning in Small Transformers: An Empirical Study

TabScope: Question-Adaptive Scope Selection for Table Question Answering

Tail-Likelihood Reinforcement Learning

TAP-Path: Task-Adaptive Structural and Token Pruning for Efficient and Trustworthy Pathology Foundation Models

Temperature Scaling Attack Disrupting Model Confidence in Federated Learning

Temporal Self-Distillation: Learning Visual State Tracking in Videos Without Supervision

Tensor-based Brain Surface Modeling and Analysis

Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments

Test-time adaptation for speech enhancement with an autoregressive speech prior