applications

Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems

arXiv:2603.24963v3 Announce Type: replace Abstract: Modern computational advertising platforms typically rely on recommendation systems to predict user responses, such as click-through rates, conversi

Applications

Earlier today, New York University announced the creation of its new Earth Systems Institute—a multidisciplinary hub that will deploy AI and…

DGX agent

Earlier today, New York University announced the creation of its new Earth Systems Institute—a multidisciplinary hub that will deploy AI and computational tools to better predict environmental changes

applicationsyann-lecun--x

8 Jun 2026

Enterprise Data Strategy Roadmap for Business Outcomes

This Databricks blog post outlines a strategic framework for enterprises to align their data initiatives with measurable business outcomes. It likely covers best practices for developing a comprehensi

applicationsdatabricks

Evidence-Based Intelligent Diagnostic and Therapeutic Visualization System with Large Language Models: Multi-Turn Interaction and Multimodal Treatment Plan Generation

arXiv:2606.06869v1 Announce Type: new Abstract: Aim: Existing AI-assisted traditional Chinese medicine diagnostic tools suffer from opaque reasoning processes, passive interaction, and limited treatme

Exploring Reinforcement Learning for Fluid Transitions Between Clinical Mental Healthcare and Everyday Wellness Support

arXiv:2606.06800v1 Announce Type: cross Abstract: Mental health struggles wax and wane, yet clinical and wellness interventions typically operate separately, causing frequent breakdowns at care transi

Federated Foundation Models over Vehicular Networks

arXiv:2606.06786v1 Announce Type: new Abstract: This paper presents a forward-looking vision for integrating the emerging multi-modal multi-task federated foundation models (M3T FedFMs) into vehicular

Geodesics of Dynamic Graphs for Regime Change Detection

arXiv:2606.07151v1 Announce Type: new Abstract: Traditional change point detection in dynamic networks assumes abrupt transitions between stationary states, overlooking scenarios of continuous evoluti

Graph Neural Network leveraging Higher-order Class Label Connectivity for Heterophilous Graphs

arXiv:2606.07475v1 Announce Type: cross Abstract: Node classification in graph neural networks (GNNs) has been widely applied in various fields of graph analysis. GNNs achieve high-accuracy node class

London-based PhysicsX, which uses AI to design industrial parts like jet engines and semiconductors, raised a 300M Series C led by Temasek at a 2.4B valuation (Mark Bergen/Bloomberg)

Mark Bergen / Bloomberg: London-based PhysicsX, which uses AI to design industrial parts like jet engines and semiconductors, raised a 300M Series C led by Temasek at a 2.4B valuation — PhysicsX, a Br

applicationstechmeme

LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification

arXiv:2606.06864v1 Announce Type: new Abstract: Multiple instance learning (MIL) has become a standard paradigm for whole slide image (WSI) analysis in digital pathology, as it enables slide-level pre

LUCID: Learning Unified Control for Image Deflaring and Exposure Mastery in Nighttime Photography

arXiv:2606.06901v1 Announce Type: new Abstract: Photography is the art of painting with light, yet nighttime scenes are shaped by competing degradations: intense flares obscure scene structure, while

MalTree: Tracing Malware Evolution from Embeddings at Scale

arXiv:2606.06570v1 Announce Type: cross Abstract: Malware detection remains largely reactive: machine learning models trained on known samples degrade as threats evolve. Understanding evolutionary rel

Mind the Gap: Bridging Behavioral Silos with LLMs in Multi-Vertical Recommendations

arXiv:2606.06779v1 Announce Type: cross Abstract: In multi-vertical e-commerce platforms like DoorDash, relatively newer product verticals such as grocery and retail present a significant opportunity

Mitosis Detection in the Wild: Multi-Tumor and Context-Aware Generalization in the MIDOG 2025 Challenge

arXiv:2606.07368v1 Announce Type: cross Abstract: Automated mitosis detection is a well-established task in computational pathology. While previous benchmarks focused on scanner-induced domain shift,

Multi-FRuGaL: Multimodal Flexible Redundancy-aware Decomposed Gated Learning for Cancer Diagnosis and Prognosis

arXiv:2606.06867v1 Announce Type: new Abstract: Modern medicine relies on heterogeneous data sources spanning radiology, pathology, text reports, and structured clinical information. However, real-wor

Narrative violation: according to @Stanford research, local models can answer 71.3% of real-world chat and reasoning queries accurately, up …

applicationsclem-delangue--x

Narrative violation: according to @Stanford research, local models can answer 71.3% of real-world chat and reasoning queries accurately, up from 23.2% in 2023. Obviously at a fraction of the cost and

Optimal Control Approach for Non-prehensile Ball Juggling Using a 7-DoF Manipulator

arXiv:2606.06704v1 Announce Type: new Abstract: Non-prehensile object manipulation skills are important for real-world robot interactions, enabling highly dynamic tasks such as balancing a glass on a

applicationsarxiv-cs-ro

Oriole Networks deploys photonic AI network in first commercial rollout with AMD

U.K. photonic networking startup Oriole Networks Ltd. today announced that it will deploy what it describes as the world’s first large-scale artificial intelligence system running on a pure photonic n

applicationssiliconangle

Proxy Reconstruction Pre-training for Ramp Flow Prediction at Highway Interchanges

arXiv:2510.03381v3 Announce Type: replace-cross Abstract: Interchanges are crucial nodes for vehicle transfers between highways, yet the lack of real-time ramp detectors creates blind spots in traffic

Report: UK PM Keir Starmer is set to announce a ban on 'harmful' online platforms for children under 16 while maintaining access to some 'safer' social media (Reuters)

Reuters: Report: UK PM Keir Starmer is set to announce a ban on “harmful” online platforms for children under 16 while maintaining access to some “safer” social media — British Prime Minister Keir Sta

applicationstechmeme

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics

arXiv:2604.01313v2 Announce Type: replace Abstract: High-fidelity simulations and complex inverse problems, such as detector modeling and unfolding, are computationally intensive bottlenecks across su

Sources: former OpenAI researcher Leopold Aschenbrenner's AI-focused hedge fund, Situational Awareness, has $20B+ AUM, after launching less than two years ago (Peter Rudegeair/Wall Street Journal)

Peter Rudegeair / Wall Street Journal: Sources: former OpenAI researcher Leopold Aschenbrenner's AI-focused hedge fund, Situational Awareness, has $20B+ AUM, after launching less than two years ago —

applicationstechmeme

Sparsely gated tiny linear experts

arXiv:2606.07414v1 Announce Type: new Abstract: Sparsity allows scaling model parameters without proportionally increasing computational cost. While mixture of experts (MoE) models are made increasing

Spatiotemporal Imputation with Graph-Informed Flow Matching

arXiv:2606.06682v1 Announce Type: new Abstract: Missing data is a common challenge in spatiotemporal systems, arising in applications such as air quality monitoring and urban traffic management. Tradi

SpectCount: Spectrotemporal Counting via Synthetic Signals Improves Large Audio Language Models

arXiv:2606.06907v1 Announce Type: cross Abstract: Large audio language models (LALMs) extend large language models with an audio encoder and large-scale audio data. However, the scarcity of high-quali

Standard vs. Modular Sampling: Best Practices for Reliable LLM Unlearning

arXiv:2509.05316v2 Announce Type: replace-cross Abstract: A conventional LLM Unlearning setting consists of two subsets -'forget' and 'retain', with the objectives of removing the undesired knowledge

Synthics: Synthetic Physics-like Datasets for Machine Learning

arXiv:2606.06724v1 Announce Type: new Abstract: Representative data is fundamental in machine learning, as limited data hinders generalisation. Collecting sufficient real-world samples is often infeas

TargetSEC: Plug-and-Play In-the-Wild Speech Emotion Conversion via Arousal-Conditioned Latent Style Diffusion

arXiv:2606.07293v1 Announce Type: cross Abstract: Speech Emotion Conversion (SEC) aims to transform the emotion of a source utterance into a target emotion while preserving content and speaker identit

The Matrix idea of keeping humans as batteries is obviously weird... we would be more useful as dice. LLMs default to very similar kinds of …

applicationsethan-mollick--x

The Matrix idea of keeping humans as batteries is obviously weird... we would be more useful as dice. LLMs default to very similar kinds of arguments & structure, and even different LLMs seem to colla

The next quarter of effort at the frontier of applied AI is not about model capabilities. It's about 3 key things: 1. security, guardrails a…

The next quarter of effort at the frontier of applied AI is not about model capabilities. It's about 3 key things: 1. security, guardrails around data ingress/egress, and understanding risk in your sy

applicationslinus-lee--x

Time series Foundation Models based on Physics-Informed Synthetic Histories for Cold-Start Photovoltaic Forecasting

arXiv:2606.07457v1 Announce Type: new Abstract: At commissioning time, Photovoltaic (PV) operators must forecast production before target-site observations are available, limiting the direct use of st

Trace Reconstruction with Language Models

arXiv:2507.12927v2 Announce Type: replace Abstract: The general trace reconstruction problem seeks to recover an original sequence from its noisy copies independently corrupted by insertions, deletion

Training for Technology: Adoption and Productive Use of Generative AI in Legal Analysis

arXiv:2603.04982v3 Announce Type: replace-cross Abstract: Can targeted user training unlock the productive potential of generative artificial intelligence in professional settings? We study this quest

USU-Corn-WeedDB: A UAV RGB Image Dataset for Multi-Species Weed Detection in Forage Corn

arXiv:2606.06709v1 Announce Type: new Abstract: Weed pressure in forage corn production causes yield losses of up to 31.5%, yet site-specific weed management (SSWM) systems built on UAV imagery and de

For some industries and dev orgs, this will happen already in 2026. For others, it may take until 2030. A short list of key differences for …

applicationsitamar-friedman--x

For some industries and dev orgs, this will happen already in 2026. For others, it may take until 2030. A short list of key differences for whether orgs will reach that level soon or later: • How much

It is a really good time to store up a few of your hardest, most valuable, and most unusual ideas - whether for work, hobbies, or a new vent…

applicationsethan-mollick--x

It is a really good time to store up a few of your hardest, most valuable, and most unusual ideas - whether for work, hobbies, or a new venture. Thanks to AI, really good & unique ideas are getting ex

Russell Vought’s proposal to make politics, not peer review, the standard for NIH science grants would be a cataclysm for the American scien…

applicationsyann-lecun--x

Russell Vought proposed replacing peer review with political criteria for NIH science grants, a change that would fundamentally compromise the scientific merit-based evaluation process. The proposal w

“We used to review every line of code before it went into production.” Within 12 months, mandatory human review of pull requests will become…

applicationsitamar-friedman--x

“We used to review every line of code before it went into production.” Within 12 months, mandatory human review of pull requests will become optional. Not because quality matters less. Because verific

You don’t have to be “leftist” (or “doomer”) to care about what AI is doing to our friends, family, neighborhoods, education, and society. D…

applicationsgary-marcus--x

You don’t have to be “leftist” (or “doomer”) to care about what AI is doing to our friends, family, neighborhoods, education, and society. Don’t let @davidsacks spin things otherwise. With Climate Doo

AI is pushing so much garbage code in production now that very soon they'll have to rehire more human than they laid off just to fix bugs cr…

applicationsgary-marcus--x

AI code generation tools are producing low-quality code that requires significant human developer effort to debug and fix, potentially negating productivity gains and necessitating rehiring of develop

As you can see

applicationsethan-mollick--x

As you can see It does seem like meaningfully better AI releases are accelerating, especially from OpenAI & Anthropic. To illustrate, I caused this timeline to be created. It only lists new models tha

Beyond Soft Masks: Hard-Perturbation Mixup Explainer for Robust GNN Explainability

arXiv:2606.05756v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) have demonstrated remarkable performance across a range of applications involving graph-structured data, particularly in

Binary Gaussian Copula Synthesis: an LLM-powered data augmentation framework for early dialysis prediction in chronic kidney disease

arXiv:2403.00965v2 Announce Type: replace-cross Abstract: Only a small fraction of patients with chronic kidney disease (CKD) progress to dialysis, creating severe class imbalance that limits the perf

Bridging the Semantic-Collaborative Gap: An Asymmetric Graph Architecture for Cold-Start Item Recommendation

arXiv:2606.06225v1 Announce Type: cross Abstract: Collaborative filtering and graph-based recommendation models are highly effective because they leverage observed user interactions, but this dependen

CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting

arXiv:2606.05413v1 Announce Type: cross Abstract: As urban environments continue to evolve rapidly, accurately modeling the dynamic behaviour of Points of Interest is essential for supporting data-dri

circular finance, with numbers, a worked example.

applicationsgary-marcus--x

circular finance, with numbers, a worked example. I want to use GOOG Anthropic and SPCX deal to show how the circular finance deals hiding losses and costs is falling apart. How every deal meant to ma

Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework

arXiv:2606.05710v1 Announce Type: cross Abstract: The increasing penetrations of the critical infrastructure sector in the United States with intelligent digital technologies have greatly increased ex

Five labs, five minds: building a multi-model finance drama on small models

This article describes a collaborative hackathon project involving five research labs that developed a financial simulation drama using small language models, focusing on building complex multi-agent

applicationshugging-face