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MLIPilot: LLM-Driven Auto-Research for Machine-Learned Interatomic Potentials

model-releasesarxiv-cs-lg

arXiv:2605.30889v1 Announce Type: cross Abstract: Constructing production-quality machine-learned interatomic potentials (MLIPs) requires balancing accuracy, dynamical stability, and computational thr

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Research

Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?

DGX agent

arXiv:2605.31036v1 Announce Type: cross Abstract: Online advertising platforms rely on machine learning models to predict click-through rates (pCTR) and conversion rates (pCVR) for auction mechanisms.

researcharxiv-cs-lg

1 Jun 2026

Local Ai

Model page: https://ollama.com/library/minimax-m3

Minimax-M3 is a model available through Ollama's model library, accessible at ollama.com/library/minimax-m3. The model was promoted or announced via Ollama's official X (Twitter) account, indicating i

local-aiollama--x

Modeling a digital twin of a food supply chain using BigQuery Graph

The example of a growing restaurant Imagine you are running a restaurant chain. You just can't physically feel and touch things to know how your business operates. You need tools and a digital replica

safetygoogle-cloud-ai

Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments

arXiv:2605.31443v1 Announce Type: cross Abstract: We present a regression-adjustment framework designed for the estimation of longitudinal treatment effects in randomized experiments under static regi

Moderna gets $50 million to develop mRNA Ebola vaccine against Bundibugyo

The Coalition for Epidemic Preparedness Innovations (CEPI) announced an expanded collaboration with Moderna, committing up to $50 million to support preclinical development and Phase 1 clinical testin

industryars-technica

MoE-dqINR: A Unified Mixture-of-Experts Implicit Neural Representation Framework for Scan-Specific Dynamic and Quantitative MRI Reconstruction

arXiv:2605.31302v1 Announce Type: cross Abstract: Undersampled magnetic resonance imaging (MRI) reconstruction seeks to recover temporally or contrast-varying image series from incomplete multicoil k-

MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation

arXiv:2605.31010v1 Announce Type: new Abstract: Retrieval-augmented generation is intensively studied to ground large language models on external evidence. However, retrieving from a unified knowledge

researcharxiv-cs-cl

Mollified Value Learning

arXiv:2602.23280v2 Announce Type: replace Abstract: Offline goal-conditioned reinforcement learning (GCRL) learns goal-reaching behaviors from static datasets, but accurate value estimation remains ch

More info about Search as Code in the Perplexity Agent API docs: https://docs.perplexity.ai/docs/agent-api/tools/sandbox

The Perplexity Agent API documentation includes a 'Search as Code' feature accessible through the sandbox tools section, enabling developers to integrate search functionality programmatically within a

agentsperplexity--x

More on the Hermes Skills Hub: https://hermes-agent.nousresearch.com/docs/guides/work-with-skills#the-skills-hub

The Hermes Skills Hub is a feature that allows users to discover, manage, and integrate skills within the Hermes agent framework, enabling extended functionality and customization of agent capabilitie

agentsnous-research--x

MosaicLeaks:Privacy Risks in Querying-in-the-Open for Deep Research Agents

model-releasesarxiv-cs-cl

arXiv:2605.30727v1 Announce Type: new Abstract: Deep research agents increasingly combine private local documents with external tools like web retrieval, creating a privacy risk: an agent's external q

Motion Tracking with Muscles: Predictive Control of a Parametric Musculoskeletal Canine Model

arXiv:2506.23768v2 Announce Type: replace Abstract: We introduce a novel musculoskeletal model of a dog, procedurally generated from accurate 3D muscle meshes. Accompanying this model is a motion capt

researcharxiv-cs-ro

mRNAutilus: Multi-Objective-Guided Discrete Generation of mRNA with Optimized Therapeutic Properties

arXiv:2605.31296v1 Announce Type: cross Abstract: Therapeutic mRNA design requires coordinating multiple interacting sequence features across the full transcript, where codon usage, untranslated regio

.@MukilLoganathan’s Interrupt keynote on Sandboxes. https://youtu.be/IIchUA5T3gs In 20 minutes, you’ll learn how to run agent code safely. I…

.@MukilLoganathan’s Interrupt keynote on Sandboxes. https://youtu.be/IIchUA5T3gs In 20 minutes, you’ll learn how to run agent code safely. Isolated from your runtime, with network controls, persistent

agentsharrison-chase--x

Multi-Agent Teams Hold Experts Back

arXiv:2602.01011v4 Announce Type: replace-cross Abstract: Multi-agent LLM systems are increasingly deployed as autonomous collaborators, where agents interact freely rather than execute fixed, pre-spe

safetyarxiv-cs-ai

Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs

arXiv:2605.31027v1 Announce Type: new Abstract: We propose a novel neural network architecture, termed Multi-Scale Separable Fourier Neural Networks (MS-SFNN), for the accurate and efficient solution

Multi-Turn Multi-Agent Dialogue for Collaborative Reconstruction Improves VLM Performance on Spatial Reasoning, But Only Barely

arXiv:2605.31387v1 Announce Type: new Abstract: Robots operating in diverse environments rely on visual input to interpret objects and spatial layouts. In human-collaborative tasks, they are expected

agentsarxiv-cs-cl

MultiAct: Text-to-Motion Generation from Composite Text via Tailored Attention Guidance

arXiv:2605.30925v1 Announce Type: new Abstract: Text-to-motion generation has progressed rapidly in recent years, offering an expressive interface for animation and human-computer interaction. However

Multilingual and Cross-Lingual Citation Needed Detection on Wikipedia for Lower-Resource Languages

arXiv:2605.31136v1 Announce Type: new Abstract: In automated fact-checking (AFC), check-worthiness detection identifies claims requiring verification based on domain-specific criteria. On Wikipedia, t

researcharxiv-cs-cl

Multimodal Fusion via Self-Consistent Task-Gradient Fields

arXiv:2410.15475v2 Announce Type: replace Abstract: Multimodal learning aims to preserve as much task-related information as possible from different inputs. However, current fusion designs often disto

MultiPriv: Benchmarking Individual-Level Privacy Reasoning in Vision-Language Models

model-releasesarxiv-cs-cv

arXiv:2511.16940v3 Announce Type: replace Abstract: Modern Vision-Language Models (VLMs) pose significant individual-level privacy risks by linking fragmented multimodal data to identifiable individua

Multivariate Distributional Reinforcement Learning Using Sliced Divergences

arXiv:2605.31222v1 Announce Type: new Abstract: Distributional reinforcement learning (DRL) models the full return distribution rather than expectations, but extending it to multivariate settings rema

Nasdaq, FTSE, and other index providers are aggressively shortening entry timelines to accommodate SpaceX's $75B IPO, as Elon Musk targets retail investors (Bloomberg)

Bloomberg: Nasdaq, FTSE, and other index providers are aggressively shortening entry timelines to accommodate SpaceX's $75B IPO, as Elon Musk targets retail investors — The company's ambitious listing

industrytechmeme

Native Hierarchical and Compositional Representations with Subspace Embeddings

arXiv:2508.16687v2 Announce Type: replace Abstract: Traditional embeddings represent datapoints as vectors, which makes similarity easy to compute but limits how well they capture hierarchies and comp

Neither Replacement nor Panacea: Comparing LLM-Based Conversational and Graphical Decision Support in Industrial Tasks

arXiv:2605.31287v1 Announce Type: cross Abstract: Managers in manufacturing settings rely on digital interfaces to interpret operational data for decision-making, but growing data volume and complexit

applicationsarxiv-cs-ai

NEMO: Execution-Aware Optimization Modeling via Autonomous Coding Agents

arXiv:2601.21372v2 Announce Type: replace Abstract: We present NEMO, a system that translates Natural-language descriptions of decision problems into formal Executable Mathematical Optimization implem

agentsarxiv-cs-ai

Nemotron 3 Ultra: Frontier smart. 5X faster. 30% cheaper. 💚💚💚

model-releasesjeremy-howard--x

Nemotron 3 Ultra is NVIDIA's latest language model featuring significant improvements in speed (5X faster) and cost efficiency (30% cheaper) compared to previous versions, positioning it as a frontier

NeUQI: Near-Optimal Uniform Quantization Parameter Initialization for Low-Bit LLMs

model-releasesarxiv-cs-cl

arXiv:2505.17595v4 Announce Type: replace-cross Abstract: Large language models (LLMs) achieve impressive performance across domains but face significant challenges when deployed on consumer-grade GPU

Neuralink is planning its first Blindsight implant later this year, aiming to restore limited vision even for people who have lost both eyes…

Neuralink is planning its first Blindsight implant later this year, aiming to restore limited vision even for people who have lost both eyes, their optic nerve, or were born blind Over time, it could

industryelon-musk--x

Local Ai

Neuro-Symbolic Predictive Process Monitoring

arXiv:2509.00834v2 Announce Type: replace Abstract: This paper addresses the problem of suffix prediction in Business Process Management (BPM) by proposing a Neuro-Symbolic Predictive Process Monitori

local-aiarxiv-cs-ai

Neuro-symbolic Syntactic Parsing: Shaping a Neural Network with the CYK Algorithm

model-releasesarxiv-cs-ai

arXiv:2605.31421v1 Announce Type: cross Abstract: In this paper, we show the possibility of a direct injection of algorithms into neural network architecture. We focus on a complex algorithm, that is,

Neuron-Level Interventions for Gendered and Gender-Neutral Generation in Language Models

arXiv:2605.30717v1 Announce Type: new Abstract: Language models (LMs) can produce gendered language and stereotypes even when given neutral prompts. Most prior work on gender bias in LMs primarily exa

safetyarxiv-cs-cl

Hardware

Neurosim: A Fast Simulator for Neuromorphic Robot Perception

arXiv:2602.15018v2 Announce Type: replace-cross Abstract: Neurosim is a fast, real-time, high-performance library for simulating sensors such as dynamic vision sensors, RGB cameras, depth sensors, and

hardwarearxiv-cs-cv

Neurosymbolic rising!

Neurosymbolic rising! I've wanted to work on deep neurosymbolic integration for a while: if you make an 800k transformer reason *like* a logical solver, you get 100% on sudoku-extreme w. 15m of train

safetygary-marcus--x

New York City-based Mecka AI, which trains robots with human data sourced from body sensors and iPhones, raised 60M, including a 25M Series A (Ben Weiss/Fortune)

Ben Weiss / Fortune: New York City-based Mecka AI, which trains robots with human data sourced from body sensors and iPhones, raised 60M, including a 25M Series A — Data is the oil of the AI boom—and

industrytechmeme

NGDBench: Towards Neural Graph Data Management

model-releasesarxiv-cs-ai

arXiv:2603.05529v2 Announce Type: replace-cross Abstract: Data critical to real-world decision-making is increasingly found within organizations. Such data is heterogeneous, constantly evolving, and o

Non-Asymptotic Convergence of Stochastic Iterative Algorithms: A Lyapunov Framework

arXiv:2605.31309v1 Announce Type: new Abstract: We survey Lyapunov-based techniques for the finite-time analysis of stochastic iterative algorithms, also known as stochastic approximation (SA) algorit

Non-destructive Identification of Oyster Species is possible from Hyperspectral Images with Machine Learning

arXiv:2605.30811v1 Announce Type: new Abstract: Differentiating between oyster species is important for developing new commercial oyster species suited to production systems and is critical for tracea

applicationsarxiv-cs-lg

Non-Parametric Probabilistic Robustness: A Conservative Risk Estimator under Unknown Perturbation Distributions

arXiv:2511.17380v2 Announce Type: replace Abstract: Deep learning (DL) models, despite their remarkable success, remain vulnerable to small input perturbations that can cause erroneous outputs, motiva

Not All Synthetic Data Is Yours to Learn From

model-releasesarxiv-cs-ai

arXiv:2605.31126v1 Announce Type: cross Abstract: Can a language model improve from plain text sampled from itself, with no prompts, no teacher, no verifier, and no reward model? Yes, but only when th

Not those Matts

industrycristobal-valenzuela--x

Not those Matts Create compositing mattes in seconds with Aleph 2.0 Mattes let you isolate a subject from its background so you can composite, color or apply effects to just one part of your shot. 1.

Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks

arXiv:2602.21013v2 Announce Type: replace Abstract: Many dexterous manipulation tasks are non-markovian in nature, yet little attention has been paid to this fact in the recent upsurge of the vision-l

applicationsarxiv-cs-ro

NTR: Neural Token Reconstruction for Scene Token Bottleneck in End-to-End Driving

arXiv:2605.31116v1 Announce Type: new Abstract: Recent perception-free end-to-end (E2E) autonomous driving methods bypass explicit perception outputs by compressing dense image patch tokens into compa

agentsarxiv-cs-cv

NumLeak: Public Numeric Benchmarks as Latent Labels in Foundation Models

arXiv:2605.30393v1 Announce Type: cross Abstract: Public numeric benchmarks appear in pretraining, so an evaluation that conditions on a date may be measuring memorized recall rather than out-of-sampl

applicationsarxiv-cs-ai

nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving

model-releasesarxiv-cs-cv

arXiv:2605.31572v1 Announce Type: new Abstract: Reasoning is essential for autonomous driving (AD) in long-tail scenarios, where vehicles must apply commonsense knowledge, understand spatial relations

Hardware

NVIDIA AI Cloud Ecosystem Expands Worldwide to Meet Global AI Compute Demand

The NVIDIA AI Cloud ecosystem is accelerating the global buildout of AI factory infrastructure. Partners are expanding capacity to meet growing demand from enterprises, startups, nations, AI labs and

hardwarenvidia-blog

Hardware

Nvidia announcing a 550B model wasn't on my bingo card They are now the strongest american open-source lab

Nvidia announced development of a 550 billion parameter language model, positioning itself as a leading open-source AI research organization competing with traditional academic and independent labs. T

hardwareclem-delangue--x