All entries

One Size does not Fit All: Heterogeneous Latent Space Alignment for Unsupervised Domain Adaptation

arXiv:2606.21415v1 Announce Type: new Abstract: Domain shift remains a major obstacle to the reliable deployment of machine learning models in high-stakes environments such as healthcare. While Domain

safetyarxiv-cs-lg

One-Step Flow Matching for Generative Modeling of Path-Dependent Physical Fields

DGX agent

arXiv:2606.22752v1 Announce Type: new Abstract: Physical simulations for intricate geometries with path-dependent constitutive models face difficulties due to the enormous computational cost they requ

researcharxiv-cs-lg

23 Jun 2026

Agents

One thing we’ve seen pretty consistently: shipping the first version is only a small part of the work A key part of building reliable agents…

One thing we’ve seen pretty consistently: shipping the first version is only a small part of the work A key part of building reliable agents is having a repeatable lifecycle for improving them over ti

agentsharrison-chase--x

Online Learning of Robust Legged Odometry with Minimal Exteroceptive Supervision

arXiv:2606.21669v1 Announce Type: new Abstract: Robust locomotion and navigation for legged robots relies heavily on dependable odometry. Traditional multi-sensor fusion for such state estimation requ

researcharxiv-cs-ro

Tutorials

Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation

arXiv:2602.24121v2 Announce Type: replace Abstract: Current methods in robot learning are fundamentally bottlenecked by one or more of: hand-designed rewards, simulation modeling, or action supervisio

tutorialsarxiv-cs-ro

oops

oops Goldman reckons that AI will create about 10trn of discounted value for the world, or up to 22trn. But markets have priced in 27trn of additional value creation. So the size of the 'bubble' has n

safetygary-marcus--x

Open Annotations and Synthetic Data for Field Localisation in Indian Bank Cheques

model-releasesarxiv-cs-cv

arXiv:2606.20682v1 Announce Type: new Abstract: Automated cheque processing requires localising key fields (date, legal amount, IFSC code, account number, signature, and payee name) before any recogni

Open models, global networks: How AT&T and GSMA are accelerating telecom innovation with Gemma

model-releasesgoogle-cloud-ai

Telecommunications is an incredibly complex, highly specialized domain. Modern mobile networks are inherently multi-vendor, featuring diverse and often proprietary data structures. While AI has made m

Open Problem: Is AdamW Effective Under Heavy-Tailed Noise?

arXiv:2606.23676v1 Announce Type: new Abstract: AdamW is the de facto optimizer for training large language models (LLMs), yet the theory behind it still lives mostly in finite-variance regimes. This

Agents

open sourced activegraph on May 20: https://x.com/yoheinakajima/status/2057099245430222926

open sourced activegraph on May 20: https://x.com/yoheinakajima/status/2057099245430222926 i'm excited to open source Active Graph: an event-sourced reactive graph runtime for long-running, agents 🔄🧠

agentsyohei-nakajima--x

OpenAI debuts at Cannes Lions, pitching its new ChatGPT ad business and Codex to marketers, as it tries to build a multibillion-dollar business ahead of an IPO (Financial Times)

Financial Times: OpenAI debuts at Cannes Lions, pitching its new ChatGPT ad business and Codex to marketers, as it tries to build a multibillion-dollar business ahead of an IPO — Lossmaking AI group i

industrytechmeme

OpenAI DevDay 2026 applications are now open! Our biggest developer event gets even bigger. 📍 San Francisco 📅 September 29 Apply by July 1…

OpenAI DevDay 2026, the company's major developer conference, will take place in San Francisco on September 29, 2026, with applications opening for attendees. The application deadline is July 1, 2026.

model-releasesopenai--x

Tools

openai devday apps are rolling out! form officially confirms that if you’re past 21 it’s over

OpenAI announced the rollout of DevDay apps, with a post suggesting age-related eligibility or access changes for users over 21. The exact details of what these apps entail or how age restrictions app

toolsswyx--x

OpenHLM: An Empirical Recipe for Whole-Body Humanoid Loco-Manipulation

arXiv:2606.22174v1 Announce Type: new Abstract: Whole-body humanoid loco-manipulation requires coordinating the robot's entire kinematic chain. However, most existing systems typically decouple the up

OPFS + Pyodide test harness

model-releasessimon-willison

Tool: OPFS + Pyodide test harness I've been pondering if Datasette Lite - the Python Datasette application run entirely in the browser using Pyodide and WebAssembly - might be able to edit persistent

OphthaDT: Generative Digital Twins for Forecasting Visual Acuity Trajectories in Ophthalmology

arXiv:2606.22101v1 Announce Type: cross Abstract: Precision medicine in ophthalmology requires accurate longitudinal predictions, but the fragmented nature of multimodal clinical data remains a barrie

researcharxiv-cs-cv

'Oracle is under financial pressure because of an expensive build-out of AI data centers for customers like OpenAI.' https://www.bloomberg.c…

'Oracle is under financial pressure because of an expensive build-out of AI data centers for customers like OpenAI.' https://www.bloomberg.com/news/articles/2026-06-22/oracle-layoffs-fueled-by-ai-redu

safetygary-marcus--x

Oracle-RLAIF: An Improved Fine-Tuning Framework for Multi-modal Video Models using Reinforcement Learning from Ranking Feedback

model-releasesarxiv-cs-cv

arXiv:2510.02561v2 Announce Type: replace Abstract: Recent advances in large video-language models (VLMs) rely on extensive fine-tuning techniques that strengthen alignment between textual and visual

Oracle’s 21,000 layoffs help drive its debt-fueled AI investments

Oracle reduced its workforce by 21,000 employees (13% of global headcount) as part of a restructuring to expand AI adoption across operations and investments. The company's capital expenditure jumped

industryars-technica

ORBIT: Training-Free Multi-Attribute Behavioral Steering via Orthogonal Subspace Rotation

model-releasesarxiv-cs-cv

arXiv:2606.22357v1 Announce Type: cross Abstract: Language models are widely used in assistant settings, where controlling behavioral attributes is often essential. Activation steering modifies hidden

Orderful nabs $35M to streamline supply chain data management

Orderful Inc., a startup using artificial intelligence to make supply chains more efficient, today announced that it has raised 35 million in funding. The Series C round was led by Koch Disruptive Tec

industrysiliconangle

Orderful, which offers AI-powered tools to automate supply chain data management, raised a 35M Series C led by KDT, bringing its total funding to 85M (Maria Deutscher/SiliconANGLE)

Maria Deutscher / SiliconANGLE: Orderful, which offers AI-powered tools to automate supply chain data management, raised a 35M Series C led by KDT, bringing its total funding to 85M — Orderful Inc., a

industrytechmeme

Orthogonal Discrepancy Kernels for Learning with Partial Physics

arXiv:2606.21199v1 Announce Type: cross Abstract: We introduce a semi-parametric framework for nonlinear system identification, which decouples discrepancy functions from physics-based components. Ort

OrthoMotion:Disentangling Camera and Subject Motion via Geometry Semantics Orthogonal Attention

arXiv:2606.22835v1 Announce Type: new Abstract: Controllable video generation demands independent command of the camera and the subject, yet 2D conditioning entangles them: camera- and object-induced

researcharxiv-cs-cv

Applications

OSOG: A Differentiable, Physics-Informed Synthetic Data Engine for Micro-Optical Environments

arXiv:2606.21381v1 Announce Type: new Abstract: Deep learning in computational microscopy is severely constrained by the scarcity of densely annotated datasets. While synthetic data generation has bri

applicationsarxiv-cs-cv

Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing

arXiv:2512.03719v2 Announce Type: replace-cross Abstract: Over-the-Air Federated Learning (AirFL) is an emerging paradigm that tightly integrates wireless signal processing and distributed machine lea

local-aiarxiv-cs-lg

Overcoming Imperfect Kinematics in Surgical Robotics Through Sim-to-Real Visuomotor Learning

arXiv:2606.21396v1 Announce Type: new Abstract: Robot-Assisted Surgery is integral to modern minimally invasive procedures, with automation emerging as the next frontier to enhance precision and reduc

OVIG: Optimistic Verification of AI Training Integrity via Gradient Signals

arXiv:2606.21045v1 Announce Type: cross Abstract: The rapid growth of AI has increased the demand for domain-specific post-training, while the cost and specialization of accelerator infrastructure pus

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture

arXiv:2606.23256v1 Announce Type: new Abstract: The increasing maturity of embodied AI platforms has driven a growing interest in procedural video representation learning to support intelligent assist

local-aiarxiv-cs-cv

PaaF: Raising the perceived quality of INR-Based Image Compression

arXiv:2606.21655v1 Announce Type: cross Abstract: Implicit Neural Representations (INRs) have recently emerged as a promising paradigm for image compression, offering a fundamentally different approac

researcharxiv-cs-cv

PACT: Preserving Anchored Cores in Task-vectors for Model Merging

arXiv:2606.18627v2 Announce Type: replace Abstract: Model merging has emerged as a training-free alternative to multi-task learning, aiming to combine multiple task-specific fine-tuned models into a s

PAIWorld: A 3D-Consistent World Foundation Model for Robotic Manipulation

arXiv:2606.18375v2 Announce Type: replace Abstract: World foundation models (WFMs) are powerful simulators, yet they predominantly operate in a single-view setting and lack the multi-view 3D consisten

Tools

Pamela rocks https://x.com/pamelafox/status/2069183465501921605

Pamela rocks https://x.com/pamelafox/status/2069183465501921605 By popular demand, here's a lil store where you can buy your own: https://happy-pelicans.printify.me/product/29480311 I will donate proc

toolssimon-willison--x

PanoVine: Whole-Body Visuomotor Control for Soft Growing Vine Robot

arXiv:2606.22923v1 Announce Type: new Abstract: Vine robots, a class of soft, growing robots, are suitable for navigating complex and confined environments due to their compliant bodies and self-suppo

Hardware

ParallelKernelBench: Frontier LLMs can't write fast multi-GPU kernels (yet)

ParallelKernelBench is a benchmark from Together AI that evaluates frontier large language models' ability to write optimized multi-GPU CUDA kernels, revealing significant limitations in current LLMs'

hardwaretogether-ai-blog

Parameterized Representations via Implicit Stochastic Modulation for High-Dimensional and High-Order Neural PDE Solvers

arXiv:2606.22150v1 Announce Type: new Abstract: Solving high-dimensional and high-order PDEs is challenged by the coupled growth of spatial dimensionality and derivative order. Recent stochastic deriv

Applications

Parametrized Power-Iteration Clustering for Directed Graphs

arXiv:2210.00310v3 Announce Type: replace Abstract: Vertex-level clustering for directed graphs (digraphs) remains challenging as edge directionality breaks the key assumptions underlying popular spec

applicationsarxiv-cs-lg

Partly raises 50M at a 500M valuation to crack the US auto parts market

Partly Group Ltd., a New Zealand startup using artificial intelligence to change up the automotive parts business, announced today that it has raised 50 million new funding at a 500 million valuation.

industrysiliconangle

Partnering with Probook: AI for the Trades

Probook is an AI operating system for home services built around dispatch that automates intake, dispatch, and customer communications across the entire customer experience, expanding margins for serv

industrysequoia-capital

Patched Flow Matching: Generative Wall-Pressure Reconstruction Beyond Training-Domain Scales from Sparse Sensors

arXiv:2606.22084v1 Announce Type: cross Abstract: Characterizing the complete wall-pressure spectrum in turbulent wall-bounded flows requires simultaneous access to the viscous-scale high-wavenumber c

local-aiarxiv-cs-lg

Path-dependent program induction under resource constraints explains human sequence learning

arXiv:2606.20623v1 Announce Type: cross Abstract: How do people build abstract, reusable knowledge from sequential experience under bounded cognitive resources? To answer this question, we integrate r

Patient-Aware Contrastive Learning Preserves Per-Patient Structure in RR-Interval Representations

arXiv:2606.23570v1 Announce Type: new Abstract: Contrastive representation learning struggles on physiological signals when each subject contributes a distinct baseline pattern. If class differences o

Agents

PEAR: Permutation-Equivariant Adaptive Routing Multi-Agent Debate

arXiv:2606.20621v1 Announce Type: cross Abstract: Multi-agent debate improves the reliability of large language models (LLMs) through iterative peer critiques. However, fixed topologies often introduc

agentsarxiv-cs-lg

PeLAP-A: Adaptive Latent Pruning for Lightweight Latent Diffusion Models

arXiv:2606.23086v1 Announce Type: new Abstract: Latent diffusion models achieve strong generative performance by operating in a compressed latent space produced by a variational autoencoder (VAE). How

PenduMorph: Development and Motion Analysis of Pendulum-Actuated Rolling Reconfigurable Spherical Robot with Magnetic-Coupling

arXiv:2606.22491v1 Announce Type: new Abstract: This paper presents 'PenduMorph', a wireless reconfigurable rolling spherical robot designed as a modular platform for enclosed locomotion and inter-mod

researcharxiv-cs-ro

People who are complaining that he spends the first half of the movie murdering white people not migrants fail to understand that it’s hamme…

People who are complaining that he spends the first half of the movie murdering white people not migrants fail to understand that it’s hammering home an important premise. “Always hang a traitor befor

industryelon-musk--x

Perturbation-Based Uncertainty for Failure Detection in Vision-Language-Action Models

arXiv:2606.20754v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have shown strong performance in robotic manipulation, but reliable uncertainty quantification remains challenging,

local-aiarxiv-cs-ro

PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models

arXiv:2606.22958v1 Announce Type: cross Abstract: Inference-time alignment of pretrained text-to-image models is typically performed along a single control axis, such as classifier-free guidance, atte

safetyarxiv-cs-cv