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Solving Nonlinear PDEs with Sparse Radial Basis Function Networks

arXiv:2505.07765v3 Announce Type: replace-cross Abstract: We propose a novel framework for solving nonlinear PDEs using sparse radial basis function (RBF) networks. Sparsity-promoting regularization i

Tools

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Some notes on talkie, a new 'vintage language model' from a team including Alec Radford (yes, that Alec Radford) 'trained on 260B tokens of …

DGX agent

Some notes on talkie, a new 'vintage language model' from a team including Alec Radford (yes, that Alec Radford) 'trained on 260B tokens of historical pre-1931 English text' https://simonwillison.net/

toolssimon-willison--x

28 Apr 2026

Agents

some thoughts on recent seed price movements, but nothing particularly new for ppl in the vc discourse seed rounds have always been option p…

some thoughts on recent seed price movements, but nothing particularly new for ppl in the vc discourse seed rounds have always been option purchases for large firms, but the amount of $$ being thrown

agentsyohei-nakajima--x

Tools

Something's coming. Launch week May 4.

Pinecone announced an upcoming product launch scheduled for the week of May 4th, with the teaser 'Something's coming.' The post was shared on X (formerly Twitter) but specific details about what produ

toolspinecone--x

Source: Google signed a deal allowing the US DOD to use Google's AI for 'any lawful government purpose'; Google says the agreement amends an existing contract (Erin Woo/The Information)

Erin Woo / The Information: Source: Google signed a deal allowing the US DOD to use Google's AI for “any lawful government purpose”; Google says the agreement amends an existing contract — Google and

Local Ai

Sources: Apple plans an AI overhaul for photo editing in iOS 27, including using on-device AI models to extend, enhance, and reframe photos (Mark Gurman/Bloomberg)

Mark Gurman / Bloomberg: Sources: Apple plans an AI overhaul for photo editing in iOS 27, including using on-device AI models to extend, enhance, and reframe photos — Apple Inc. is planning a major ov

local-aitechmeme

Sources: Goldman Sachs stopped its bankers in Hong Kong from using Anthropic's models; Anthropic says its models were never officially 'supported' in Hong Kong (Financial Times)

Financial Times: Sources: Goldman Sachs stopped its bankers in Hong Kong from using Anthropic's models; Anthropic says its models were never officially “supported” in Hong Kong — Employees were unable

Agents

Sources: Google dropped out of a $100M Pentagon challenge to create tech for voice-controlled, autonomous drone swarms, following an internal ethics review (Katrina Manson/Bloomberg)

Katrina Manson / Bloomberg: Sources: Google dropped out of a 100M Pentagon challenge to create tech for voice-controlled, autonomous drone swarms, following an internal ethics review — Google abruptly

agentstechmeme

Sources: Polymarket has discussed lifting the prohibition on US-based customers with the CFTC, as it seeks to bring its main exchange back to the US (Bloomberg)

Bloomberg: Sources: Polymarket has discussed lifting the prohibition on US-based customers with the CFTC, as it seeks to bring its main exchange back to the US — Polymarket is taking steps to try to b

Sources: the US Commerce Department last week ordered multiple chip equipment companies to halt some shipments to China's second-largest chipmaker, Hua Hong (Karen Freifeld/Reuters)

Karen Freifeld / Reuters: Sources: the US Commerce Department last week ordered multiple chip equipment companies to halt some shipments to China's second-largest chipmaker, Hua Hong — The U.S. Depart

Safety

South Africa withdraws its first draft national AI policy after revelations that it contained fictitious sources that appeared to have been AI-generated (Nellie Peyton/Reuters)

Nellie Peyton / Reuters: South Africa withdraws its first draft national AI policy after revelations that it contained fictitious sources that appeared to have been AI-generated — South Africa has wit

safetytechmeme

South Korean reporter after experiencing @Tesla FSD (Supervised) in the country for the first time: 'It flawlessly performed all tasks, incl…

South Korean reporter after experiencing @Tesla FSD (Supervised) in the country for the first time: 'It flawlessly performed all tasks, including obeying traffic signals, staying in lanes, adhering to

industryelon-musk--x

SPAGS: Sparse-View Articulated Object Reconstruction from Single State via Planar Gaussian Splatting

model-releasesarxiv-cs-cv

arXiv:2511.17092v4 Announce Type: replace Abstract: Articulated objects are ubiquitous in daily environments, and their 3D reconstruction holds great significance across various fields. However, exist

Sparse Concept Anchoring for Interpretable and Controllable Neural Representations

arXiv:2512.12469v3 Announce Type: replace Abstract: We introduce Sparse Concept Anchoring, a method that biases latent space to position a targeted subset of concepts while allowing others to self-org

Spatiotemporal Degradation-Aware 3D Gaussian Splatting for Realistic Underwater Scene Reconstruction

model-releasesarxiv-cs-cv

arXiv:2604.23551v1 Announce Type: new Abstract: Reconstructing realistic underwater scenes from underwater video remains a meaningful yet challenging task in the multimedia domain. The inherent spatio

SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding

arXiv:2511.17411v2 Announce Type: replace-cross Abstract: Robotic Foundation Models (RFMs) hold great promise as generalist, end-to-end systems for robot control. Yet their ability to generalize acros

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning

model-releasesarxiv-cs-lg

arXiv:2604.24729v1 Announce Type: new Abstract: Specification-guided reinforcement learning (RL) provides a principled framework for encoding complex, temporally extended tasks using formal specificat

Spectro-Temporal Modulation Representation Framework for Human-Imitated Speech Detection

arXiv:2604.23241v1 Announce Type: cross Abstract: Human-imitated speech poses a greater challenge than AI-generated speech for both human listeners and automatic detection systems. Unlike AI-generated

researcharxiv-cs-cl

Speech Enhancement Based on Drifting Models

arXiv:2604.24199v1 Announce Type: cross Abstract: We propose Speech Enhancement based on Drifting Models (DriftSE), a novel generative framework that formulates denoising as an equilibrium problem. Ra

Speech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization

arXiv:2502.12672v4 Announce Type: replace-cross Abstract: Fine-tuning speech representation models can enhance performance on specific tasks but often compromises their cross-task generalization abili

Sphere-Depth: A Benchmark for Depth Estimation Methods with Varying Spherical Camera Orientations

arXiv:2604.23432v1 Announce Type: cross Abstract: Reliable depth estimation from spherical images is crucial for 360{eg} vision in robotic navigation and immersive scene understanding. However, the on

SPLIT: Separating Physical-Contact via Latent Arithmetic in Image-Based Tactile Sensors

arXiv:2604.24449v1 Announce Type: cross Abstract: Training machine learning models for robotic tactile sensing requires vast amounts of data, yet obtaining realistic interaction data remains a challen

researcharxiv-cs-ai

Spotify reports Q1 revenue up 8% YoY to €4.5B, MAUs up 12% to 761M, above 759M est., and forecasts Q2 operating income below est.; SPOT falls 10%+ pre-market (Ashley Carman/Bloomberg)

Ashley Carman / Bloomberg: Spotify reports Q1 revenue up 8% YoY to €4.5B, MAUs up 12% to 761M, above 759M est., and forecasts Q2 operating income below est.; SPOT falls 10%+ pre-market — Spotify Techn

Tutorials

SRL-CLIP: Efficient CLIP Video Adaptation via Structured Semantic Role Labels

arXiv:2401.07669v2 Announce Type: replace Abstract: Adapting CLIP for videos has gained popularity due to its semantic and rich representation. While CLIP is a good starting point, it typically underg

tutorialsarxiv-cs-cv

SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation

arXiv:2505.16637v4 Announce Type: replace-cross Abstract: Large language models (LLMs) have recently demonstrated remarkable capabilities in machine translation (MT). However, most advanced MT-specifi

Stabilizing Efficient Reasoning with Step-Level Advantage Selection

arXiv:2604.24003v1 Announce Type: new Abstract: Large language models (LLMs) achieve strong reasoning performance by allocating substantial computation at inference time, often generating long and ver

Safety

StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery

arXiv:2604.22892v1 Announce Type: new Abstract: Feature selection in high-dimensional genomic data (d gg n) demands methods that are simultaneously accurate, sparse, and stable. Existing approaches ei

safetyarxiv-cs-lg

STAND: Semantic Anchoring Constraint with Dual-Granularity Disambiguation for Remote Sensing Image Change Captioning

arXiv:2604.23309v1 Announce Type: new Abstract: Remote sensing image change captioning (RSICC) aims to describe the difference between two remote sensing images. While recent methods have explored vid

researcharxiv-cs-cv

Start with the sensors, then design the rest: How Zoox built its robotaxi

Zoox approached robotaxi design by prioritizing autonomous operation requirements over traditional vehicle constraints, with sensor placement as a foundational design decision. Sensors positioned on t

industryars-technica

Agents

starting to play around with cumulative charts like this one showing growth of annualized revenue across a portfolio

Yohei Nakajima shared an exploration of cumulative charts as a visualization method for tracking portfolio growth metrics, specifically demonstrating how to display annualized revenue progression acro

agentsyohei-nakajima--x

Applications

Startup Lovelace targets contextual AI engine at mission-critical use cases

Lovelace AI Inc. is emerging from stealth mode today with an approach to enterprise artificial intelligence that it says is necessary for high-stakes decision-making, particularly in environments wher

applicationssiliconangle

Local Ai

Statistical Test for Diffusion-Based Anomaly Localization via Selective Inference

arXiv:2402.11789v5 Announce Type: replace-cross Abstract: Anomaly localization in images -- identifying regions that deviate from normal patterns -- is vital in applications such as medical diagnosis

local-aiarxiv-cs-cv

Applications

Statistically-Guided Meta-Learning for Cross-Deployment Activity Recognition in Distributed Fiber-Optic Sensing

arXiv:2511.17902v3 Announce Type: replace-cross Abstract: Distributed Fiber Optic Sensing (DFOS) is promising for long-range perimeter security, yet practical deployment faces three key obstacles: sev

applicationsarxiv-cs-ai

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator

arXiv:2604.24544v1 Announce Type: new Abstract: The increasing reliance on Large Language Models (LLMs) across diverse sectors highlights the need for robust domain-specific and language-specific eval

researcharxiv-cs-ai

StereoFoley: Object-Aware Stereo Audio Generation from Video

researchapple-ml-research

We present StereoFoley, a video-to-audio generation framework that produces semantically aligned, temporally synchronized, and spatially accurate stereo sound at 48 kHz. While recent generative video-

Tutorials

StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space

arXiv:2512.10959v2 Announce Type: replace Abstract: We introduce StereoSpace, a diffusion-based framework for monocular-to-stereo synthesis that models geometry purely through viewpoint conditioning,

tutorialsarxiv-cs-cv

Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing

arXiv:2604.22782v1 Announce Type: cross Abstract: Serving transformer language models with high throughput requires caching Key-Values (KVs) to avoid redundant computation during autoregressive genera

researcharxiv-cs-ai

Stochastic simultaneous optimistic optimization

arXiv:2604.24537v1 Announce Type: new Abstract: We study the problem of global maximization of a function f given a finite number of evaluations perturbed by noise. We consider a very weak assumption

StoryTR: Narrative-Centric Video Temporal Retrieval with Theory of Mind Reasoning

arXiv:2604.23198v1 Announce Type: new Abstract: Current video moment retrieval excels at action-centric tasks but struggles with narrative content. Models can see extit{what is happening} but fail to

Strategic Bidding in 6G Spectrum Auctions with Large Language Models

arXiv:2604.24156v1 Announce Type: cross Abstract: Efficient and fair spectrum allocation is a central challenge in 6G networks, where massive connectivity and heterogeneous services continuously compe

StratRAG: A Multi-Hop Retrieval Evaluation Dataset for Retrieval-Augmented Generation Systems

arXiv:2604.22757v1 Announce Type: cross Abstract: We introduce StratRAG, an open-source retrieval evaluation dataset for benchmarking Retrieval-Augmented Generation (RAG) systems on multi-hop reasonin

Stress-Testing Emotional Support Models: Moving from Homogeneous to Diverse Help Seekers

arXiv:2601.07698v2 Announce Type: replace Abstract: As emotional support chatbots have recently gained significant traction across both research and industry, a common evaluation strategy has emerged:

StructAlign: Structured Cross-Modal Alignment for Continual Text-to-Video Retrieval

model-releasesarxiv-cs-cv

arXiv:2601.20597v2 Announce Type: replace Abstract: Continual Text-to-Video Retrieval (CTVR) is a challenging multimodal continual learning setting, where models must incrementally learn new semantic

Safety

Structural Enforcement of Goal Integrity in AI Agents via Separation-of-Powers Architecture

arXiv:2604.23646v1 Announce Type: new Abstract: Recent evidence suggests that frontier AI systems can exhibit agentic misalignment, generating and executing harmful actions derived from internally con

safetyarxiv-cs-ai

Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency

arXiv:2604.24380v1 Announce Type: new Abstract: While Large Vision Language Models (LVLMs) demonstrate impressive capabilities, their substantial computational and memory requirements pose deployment

Tutorials

Structure Guided Retrieval-Augmented Generation for Factual Queries

arXiv:2604.22843v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) has been proposed to mitigate hallucinations in large language models (LLMs), where generated outputs may be fact

tutorialsarxiv-cs-ai

Supernodes and Halos: Loss-Critical Hubs in LLM Feed-Forward Layers

arXiv:2604.23475v1 Announce Type: cross Abstract: We study the organization of channel-level importance in transformer feed-forward networks (FFNs). Using a Fisher-style loss proxy (LP) based on activ

Supporting Family-School Partnerships with Robot-Facilitated Home-Based Activities

arXiv:2604.23978v1 Announce Type: new Abstract: Family-school partnerships (FSP) are critical to children's development, yet families often face barriers such as time constraints, fragmented communica

researcharxiv-cs-ro