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NinjaOne raises $400M+ for its endpoint management platform

NinjaOne Inc., a startup with a platform for managing information technology infrastructure, today announced that it has raised more than 400 million in secondary funding. The share sale marks the sec

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Nintendo's shares fell as much as 8.2% Wednesday morning in Tokyo after its 2026 Game Showcase came up short on new titles from major franchises such as Mario (Takashi Mochizuki/Bloomberg)

DGX agent

Takashi Mochizuki / Bloomberg: Nintendo's shares fell as much as 8.2% Wednesday morning in Tokyo after its 2026 Game Showcase came up short on new titles from major franchises such as Mario — Nintendo

industrytechmeme

10 Jun 2026

++nnU-Net: Scaling nnU-Net with Prefix-Based Data Augmentation

arXiv:2606.10713v1 Announce Type: cross Abstract: The nnU-Net has demonstrated continuous success in medical segmentation tasks, which heavily rely on the availability and diversity of annotated biome

Nobody needs AI to search the Internet, court says in ruling against Google

A U.S. court ruling against Google recognizes the need to prevent Google from using anticompetitive tactics for its GenAI products and requires that remedies reach GenAI technologies . The court order

industryars-technica

NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision

arXiv:2507.13595v3 Announce Type: replace Abstract: Reconstructing accurate implicit surface representations from point clouds remains a challenging task, particularly when data is captured using low-

researcharxiv-cs-cv

Local Ai

Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks

arXiv:2606.10909v1 Announce Type: cross Abstract: Reconstructing local stress fields in heterogeneous microstructures under non-linear, history-dependent loading remains a major computational bottlene

local-aiarxiv-cs-lg

Non-Parametric Structural Priors for Geometry Theorem Prediction

model-releasesarxiv-cs-ai

arXiv:2603.04852v2 Announce Type: replace Abstract: Multi-step theorem prediction is a central challenge in geometry problem solving. Existing neural-symbolic approaches rely heavily on supervised par

Nonlinear Estimator: Dual Bayesian Affine Estimators for Parameter Learning

arXiv:2606.10111v1 Announce Type: new Abstract: This paper presents a nonlinear parameter estimator for Wiener-type state-space models obtained as a fixed-point architecture that couples two affine mi

Nothing else matters if civilization falls

Nothing else matters if civilization falls On me demande pourquoi l'homme le plus riche du monde Elon Musk, passe ses journées dans une guerre culturelle au lieu de profiter de ses milliards sur une p

industryelon-musk--x

NOVA: Symbolic Regression Discovery of Interpretable Car-Following and Lane-Change Models with Driver Heterogeneity

model-releasesarxiv-cs-ai

arXiv:2606.10583v1 Announce Type: cross Abstract: We present NOVA, an autonomous symbolic regression framework that identifies interpretable car-following and lane-change structures from raw trajector

Local Ai

Null-Space Constrained Low-Rank Adaptation for Response-Specified Large Language Model Unlearning

arXiv:2606.10989v1 Announce Type: new Abstract: Large language model unlearning aims to suppress designated undesirable knowledge while preserving benign capabilities. Many unlearning objectives focus

local-aiarxiv-cs-ai

NuWa: Deriving Lightweight Class-Specific Vision Transformers for Edge Devices

arXiv:2504.03118v2 Announce Type: replace-cross Abstract: Vision Transformers (ViTs) often need to be compressed for deployment on resource-constrained edge devices like drones and smart vehicles. How

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI

model-releasesnvidia-blog

Today, Google DeepMind released DiffusionGemma — an experimental open model built for exceptionally fast text generation. NVIDIA has optimized DiffusionGemma to run even faster across NVIDIA GeForce R

Agents

ObjSplat: Geometry-Aware Gaussian Surfels for Active Object Reconstruction

arXiv:2601.06997v2 Announce Type: replace-cross Abstract: Autonomous high-fidelity object reconstruction is fundamental for creating digital assets and bridging the simulation-to-reality gap in roboti

agentsarxiv-cs-cv

Offline Reinforcement Learning for Rotation Profile Control in Tokamaks

arXiv:2605.05857v2 Announce Type: replace Abstract: Tokamaks remain leading candidates for achieving practical fusion energy, yet many important control problems inside these devices are still difficu

safetyarxiv-cs-lg

OMG: Omni-Modal Motion Generation for Generalist Humanoid Control

arXiv:2606.10340v1 Announce Type: new Abstract: Humanoid whole-body control has made significant progress in recent years, yet existing approaches remain limited to few-skill policies with heavy rewar

researcharxiv-cs-ro

On-sky demonstration of reinforcement learning for adaptive optics control

arXiv:2606.10771v1 Announce Type: cross Abstract: Reinforcement learning (RL)-based algorithms have recently emerged as a promising approach for adaptive optics (AO) control. In simulations and labora

safetyarxiv-cs-lg

On the Condition Number Dependency in Bilevel Optimization

arXiv:2511.22331v2 Announce Type: replace-cross Abstract: Bilevel optimization minimizes an objective function, defined by an upper-level problem whose feasible region is the solution of a lower-level

On the Controllability-Fidelity Frontier in Diffusion Editing

arXiv:2606.09901v1 Announce Type: cross Abstract: Diffusion-based generative models enable powerful image editing capabilities, but achieving precise control while maintaining fidelity and safety rema

safetyarxiv-cs-cv

OncoTraj: a public benchmark for longitudinal resistance prediction in EGFR-mutant non-small-cell lung cancer on osimertinib

arXiv:2606.11144v1 Announce Type: new Abstract: Resistance to first-line osimertinib in EGFR-mutant non-small-cell lung cancer (NSCLC) is the canonical example of predictable clonal evolution under th

One Lens, Many Worlds : A Capability-Typed Interface for World-Model Interpretability

arXiv:2606.09936v1 Announce Type: cross Abstract: World models are now built on substantially different computational substrates. Latent recurrent state-space models such as PlaNet and the Dreamer fam

One paper from three years ago has been influencing policymakers around the world about labour decisions regarding AI. What happens when the…

One paper from three years ago has been influencing policymakers around the world about labour decisions regarding AI. What happens when the gap between the evidence and new policy widens? Our report

safetycohere--x

One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data

arXiv:2606.10678v1 Announce Type: new Abstract: Transformer-based models have emerged as leading paradigms in time-series forecasting in recent years, employing self-attention mechanisms to capture lo

Hardware

One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation

arXiv:2503.13358v5 Announce Type: replace Abstract: Diffusion models for super-resolution (SR) produce high-quality visual results but require expensive computational costs. Despite the development of

hardwarearxiv-cs-cv

Applications

One thing I mentioned only in passing in my Fable post is that, for long running tasks, Fable starts to develop its own dialect as its many …

applicationsethan-mollick--x

One thing I mentioned only in passing in my Fable post is that, for long running tasks, Fable starts to develop its own dialect as its many agents and tasks reinforce themselves and make Claudish lang

One Token per Multimodal Evidence: Latent Memory for Resource-Constrained QA

arXiv:2606.10572v1 Announce Type: new Abstract: External memory effectively grounds large language models (LLMs) and vision-language models (VLMs)-based question answering (QA) in relevant multimodal

Online Self-Training for Co-Adaptation in Hierarchical Diffusion Policies

model-releasesarxiv-cs-ro

arXiv:2603.05291v2 Announce Type: replace Abstract: Hierarchical policies decompose language-conditioned long-horizon robotic manipulation into a high-level planner and a low-level controller. However

Open Korean Corpora: A Practical Report

arXiv:2012.15621v3 Announce Type: replace Abstract: Korean is often referred to as a low-resource language in the research community. While this claim is partially true, it is also because the availab

researcharxiv-cs-cl

Applications

OpenAI and Visa partner to let AI agents make purchases online after users give their permission and to explore enterprise applications for AI-driven payments (Paige Smith/Bloomberg)

Paige Smith / Bloomberg: OpenAI and Visa partner to let AI agents make purchases online after users give their permission and to explore enterprise applications for AI-driven payments — OpenAI and Vis

applicationstechmeme

OpenAI says it has banned China-linked accounts that used ChatGPT to draft social media influence campaigns targeting US debates over tariffs and data centers (Sam Sabin/Axios)

Sam Sabin / Axios: OpenAI says it has banned China-linked accounts that used ChatGPT to draft social media influence campaigns targeting US debates over tariffs and data centers — OpenAI has banned Ch

industrytechmeme

OpenRTLSet: A Fully Open-Source Dataset for Large Language Model-based Verilog Module Design

model-releasesarxiv-cs-cl

arXiv:2606.10285v1 Announce Type: new Abstract: OpenRTLSet introduces the largest fully open-source dataset for hardware design, offering over 131,000 diverse Verilog code samples to the research comm

Local Ai

Operator Fusion for LLM Inference on the Tensix Architecture

arXiv:2606.09879v1 Announce Type: new Abstract: This study addresses on-device inference bottlenecks of Transformer models on Tenstorrent's Tensix architecture and proposes an operator fusion strategy

local-aiarxiv-cs-lg

Optimal Post-Training Quantization Scales and Where to Find Them

model-releasesarxiv-cs-ai

arXiv:2606.10890v1 Announce Type: cross Abstract: Post-training quantization (PTQ) compresses large language models by mapping weights to low-bit representations. The scaling factor that defines the q

Optimality of FSQ Tokens for Continuous Diffusion for Categorical Data with Application to Text-to-Speech

arXiv:2606.09962v1 Announce Type: cross Abstract: Continuous diffusion for categorical data is a framework belonging to the diffusion family and aiming at generating discrete data. The scientific inte

Optimization-based Online Conformal Prediction for Multi-step Forecasting

arXiv:2508.13362v2 Announce Type: replace Abstract: Conformal prediction (CP) is well-suited for uncertainty quantification in time series forecasting due to its distribution-free coverage guarantees.

Optimizing 2D Input Representations and Sub-phase Fusion Strategies for Differential Diagnosis of Asthma and COPD Using CNN- and GRU-Based Networks

arXiv:2606.10972v1 Announce Type: cross Abstract: This study aims to explore the performance of the VAR model in comparison with mel-frequency cepstral coefficient (MFCC) matrices and log-mel spectrog

Optuna Constrained Tree-Structured Parzen Estimator Is a Joint Density Generalization of c-TPE

arXiv:2606.09889v1 Announce Type: new Abstract: Constrained hyperparameter optimization (HPO) is common in practice, yet Optuna's widely used constrained TPE lacks algorithmic analysis. While c-TPE pr

researcharxiv-cs-lg

Ora, lege, relege...

researchfrancois-chollet--x

This post by François Chollet, creator of Keras and AI researcher at Google, likely discusses the iterative learning principle of 'pray, read, re-read' (Ora, lege, relege), possibly applying it as a m

Oracle reports Q4 revenue up 21% YoY to 19.18B, vs. 19.1B est., and expects to raise ~$40B through a combination of debt and equity financing in FY 2027 (Juby Babu/Reuters)

Juby Babu / Reuters: Oracle reports Q4 revenue up 21% YoY to 19.18B, vs. 19.1B est., and expects to raise ~$40B through a combination of debt and equity financing in FY 2027 — Oracle (ORCL.N) reported

industrytechmeme

Oracle’s AI investments spook investors despite another impressive earnings and revenue beat

Shares of Oracle Corp. fell 9% in late trading today even though it surpassed Wall Street’s expectations on earnings and revenue and raised its profit forecast for the next financial year. The problem

industrysiliconangle

$ORCL hit hard after hours on plan for raising even more money for AI fairytales. And this is despite the fact that [see CNBC headline on ri…

Gary Marcus critiques Oracle's after-hours stock decline following announcements of increased capital allocation toward AI initiatives, suggesting skepticism about the company's AI strategy and spendi

safetygary-marcus--x

Overcoming Rank Collapse in Feedback Alignment

arXiv:2606.11123v1 Announce Type: new Abstract: Backpropagation (BP) is widely viewed as biologically implausible, in part because it requires feedback weights to be the transpose of forward weights f

Overlapped Wavelet Diffusion for Low-Light Image Enhancement

arXiv:2606.10280v1 Announce Type: cross Abstract: In this study, we propose an overlapped wavelet diffusion framework for Low-Light Image Enhancement (LLIE), which incorporates two complementary compo

researcharxiv-cs-cv

P3D-Bench: Benchmarking MLLMs for Parametric 3D Generation and Structural Reasoning

model-releasesarxiv-cs-cv

arXiv:2606.11152v1 Announce Type: new Abstract: Multimodal large language models can write code to produce complex programs as well as use programs to do 3D modeling, which opens up a new avenue for 3

Tools

Package Firewall is now enabled by default for every builder on Replit as part of Replit Auto-Protect And its already stopping ~8,000 malici…

Package Firewall is now enabled by default for every builder on Replit as part of Replit Auto-Protect And its already stopping ~8,000 malicious installs per day on Replit Read more at: https://replit.

toolsreplit--x

PADD: Path-Aligned Decompression Distillation for Non-Router Teacher to Guide MoE Student Learning

arXiv:2606.10369v1 Announce Type: new Abstract: As large language models (LLMs) continue to scale, it becomes increasingly challenging to grow model capacity under fixed computation budgets. We propos

safetyarxiv-cs-cl

Agents

paper #1 for context: https://x.com/yoheinakajima/status/2057812713045377055?s=20

paper #1 for context: https://x.com/yoheinakajima/status/2057812713045377055?s=20 babyagi has ~200 citations, but 0 papers... i just published my first paper on arXiv 😆 'The Log is the Agent: Event-So

agentsyohei-nakajima--x

ParaBridge: Bridging Paralinguistic Perception and Dialogue Behavior in Speech Language Models

arXiv:2606.10581v1 Announce Type: new Abstract: Speech carries more information than just words: a child's voice, a fearful tone, or a noisy background should all lead a sufficiently competent spoken-

safetyarxiv-cs-cl