applications

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

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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

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 —

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 …

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

applicationsarxiv-cs-cv

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…

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

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

From Attack Simulation to SIEM Rule: Deterministic Detection-as-Code Synthesis with Probe-Level Traceability

arXiv:2606.05252v1 Announce Type: cross Abstract: Security teams routinely simulate attacks against their own systems to check whether their monitoring would catch a real intruder. These Breach-and-At

Inside the Trump admin's push to integrate AI into the healthcare system, including an FDA regulatory fast track for digital health tech like AI chatbots (Elizabeth Dwoskin/Washington Post)

Elizabeth Dwoskin / Washington Post: Inside the Trump admin's push to integrate AI into the healthcare system, including an FDA regulatory fast track for digital health tech like AI chatbots — The adm

Join Tesla if you want to solve real-world AI

Elon Musk posted a recruitment message on X promoting Tesla as a workplace for AI engineers and developers interested in tackling practical artificial intelligence challenges. The post emphasizes Tesl

applicationselon-musk--x

One reason you want AIs to be better writers is that there is a lot of writing even in software, and it is incredibly painful to hit a menu …

One reason you want AIs to be better writers is that there is a lot of writing even in software, and it is incredibly painful to hit a menu which is filled with Claudisms or ChatGPTish phrases. A repo

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data

arXiv:2606.06328v1 Announce Type: cross Abstract: In healthcare, multimodal time series tasks often operate on incomplete observations in practice, for example when ECG segments are lost because elect

RAG Security and Privacy: Formalizing the Threat Model and Attack Surface

arXiv:2509.20324v2 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) is an emerging approach in natural language processing that combines large language models (LLMs) with ex

Rethinking Infrastructure Inspection as Image Difference Classification: A Traffic Sign Case Study

arXiv:2606.06375v1 Announce Type: new Abstract: Digital twins (DTs) allow the digitalization of road infrastructure inspection, though this is hindered by limited annotated data. This work exploits th

Several UK police forces have been told to stop using AI to prepare court statements, citing concerns that inaccurate outputs could contaminate legal procedures (Robert Wright/Financial Times)

Robert Wright / Financial Times: Several UK police forces have been told to stop using AI to prepare court statements, citing concerns that inaccurate outputs could contaminate legal procedures — Safe

Starlink enables high-speed connectivity for field manufacturing teams 🛰️❤️

Starlink satellite internet is being deployed to support manufacturing operations in field environments, providing high-speed connectivity to teams working outside traditional office settings. This ap

applicationselon-musk--x

Uncertainty Aware Functional Behavior Prediction and Material Fatigue Assessment for Circular Factory

arXiv:2606.05334v1 Announce Type: new Abstract: Returned products in circular factories re-enter production with heterogeneous degradation states, usage histories, and remaining capability. Reuse cann

ActiveMimic: Egocentric Video Pretraining with Active Perception

arXiv:2606.06194v1 Announce Type: cross Abstract: Egocentric human video offers a scalable alternative to robot data for pretraining, yet models pretrained on such video consistently underperform thos

applicationsarxiv-cs-cv

Also, a lot depends on Chinese labs continuing to ship open weights models. If they stop, the frontier falls further and further behind to t…

Also, a lot depends on Chinese labs continuing to ship open weights models. If they stop, the frontier falls further and further behind to those who want to use local/fine-tuned models. I think this i

As enterprise AI scales, Capital One and Snowflake focus on governance and trust

As AI adoption accelerates, organizations are rethinking how data is governed and shared at scale, with AI-driven data governance emerging as a key priority. New advances in automation and intelligent

applicationssiliconangle

Ask-to-Clarify: Resolving Instruction Ambiguity through Multi-turn Dialogue

arXiv:2509.15061v2 Announce Type: cross Abstract: The ultimate goal of embodied agents is to create collaborators that can interact with humans, not mere executors that passively follow instructions.

applicationsarxiv-cs-cv

Bootstrapping Semantic Layer from Execution for Text-to-SQL

arXiv:2606.05634v1 Announce Type: new Abstract: Real-world text-to-SQL is often under-specified until user phrases are grounded in how the database stores values. Prior work attempts to address this b

applicationsarxiv-cs-cl