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‘Slay the dragon’: Appian says process orchestration is the fix enterprise AI keeps skipping

The enthusiasm for enterprise AI is outpacing strategic thinking — and process automation, not more AI tools, is the fix most organizations might be missing. The wall that most enterprises face is an

applicationssiliconangle

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Research

Smart Ensemble Learning Framework for Predicting Groundwater Heavy Metal Pollution

DGX agent

arXiv:2605.00056v1 Announce Type: new Abstract: Groundwater in the Densu Basin is increasingly threatened by heavy metal contamination, but conventional methods fail to capture the statistical complex

researcharxiv-cs-lg

4 May 2026

Smart Profit-Aware Crop Advisory System: Kisan AI

model-releasesarxiv-cs-lg

arXiv:2605.00133v1 Announce Type: new Abstract: Modern crop advisory systems exhibit a critical limitation termed extit{economic blindness}. These systems primarily optimize for biological yield, ofte

Agents

so now that you have entire teams of agents running your company... ♫ what do we do while your agent runs? ♫

so now that you have entire teams of agents running your company... ♫ what do we do while your agent runs? ♫ Media Announcing Cofounder 2: Run an entire company with agents. It's the infrastructure fo

agentsyohei-nakajima--x

Soft Graph Diffusion Transformer for MIMO Detection

arXiv:2605.00449v1 Announce Type: cross Abstract: Learning-based MIMO detection has shown strong empirical performance, yet existing methods typically rely on fixed-depth architectures without explici

Soft-MSM: Differentiable Context-Aware Elastic Alignment for Time Series

arXiv:2605.00069v1 Announce Type: new Abstract: Elastic distances like dynamic time warping (DTW) are central to time series machine learning because they compare sequences under local temporal misali

Some awesome open models trending on HF right now, including models from @deepseek_ai, @Xiaomi, @OpenAI, @MistralAI, and @aipoolside. And of…

model-releasesclem-delangue--x

Some awesome open models trending on HF right now, including models from @deepseek_ai, @Xiaomi, @OpenAI, @MistralAI, and @aipoolside. And of course Nemotron 3 Nano Omni from @NVIDIAAI So great to see!

Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech

arXiv:2603.15988v2 Announce Type: replace-cross Abstract: Dysarthric speech quality assessment (DSQA) is critical for clinical diagnostics and inclusive speech technologies. However, subjective evalua

Source via Meta: https://about.fb.com/news/2026/04/powering-ai-strengthening-the-grid-space-solar-energy-and-long-duration-storage/ I break …

Source via Meta: https://about.fb.com/news/2026/04/powering-ai-strengthening-the-grid-space-solar-energy-and-long-duration-storage/ I break down stories like this every day in my free newsletter. Keep

industryrowan-cheung--x

Sources: Apple held exploratory talks with Intel and its executives visited a Samsung plant in Texas to explore producing core chips for its devices in the US (Bloomberg)

Bloomberg: Sources: Apple held exploratory talks with Intel and its executives visited a Samsung plant in Texas to explore producing core chips for its devices in the US — Apple Inc. has held explorat

Sources: Apple prepares a 'Create a Pass' feature for iOS 27, which lets users take a QR code and generate a custom pass around it for concerts and other venues (Mark Gurman/Bloomberg)

Mark Gurman / Bloomberg: Sources: Apple prepares a “Create a Pass” feature for iOS 27, which lets users take a QR code and generate a custom pass around it for concerts and other venues — Apple Inc. i

Sources: more than two dozen prediction-market ETFs have been pushed back as the SEC seeks more information; they were originally expected to launch this week (Suzanne McGee/Reuters)

Suzanne McGee / Reuters: Sources: more than two dozen prediction-market ETFs have been pushed back as the SEC seeks more information; they were originally expected to launch this week — More than two

applicationstechmeme

Sources: Sam Altman discussed spinning out OpenAI's robotics and consumer hardware divisions in late 2025 to give them more room to grow; the plan was rejected (Berber Jin/Wall Street Journal)

Berber Jin / Wall Street Journal: Sources: Sam Altman discussed spinning out OpenAI's robotics and consumer hardware divisions in late 2025 to give them more room to grow; the plan was rejected — Comp

Sources: SoftBank plans to make lithium- and cobalt-free data center batteries in Japan as soon as FY 2027, as Japan tries to cut its reliance on Chinese metals (Natsuki Yamamoto/Nikkei Asia)

Natsuki Yamamoto / Nikkei Asia: Sources: SoftBank plans to make lithium- and cobalt-free data center batteries in Japan as soon as FY 2027, as Japan tries to cut its reliance on Chinese metals — TOKYO

Sources: some lenders are exploring private deals to sell their data center debt, and some banks are seeking to offload their Oracle-linked loans at a discount (Financial Times)

Financial Times: Sources: some lenders are exploring private deals to sell their data center debt, and some banks are seeking to offload their Oracle-linked loans at a discount — Global lenders explor

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

arXiv:2505.18875v4 Announce Type: replace Abstract: Diffusion Transformers (DiTs) are essential for video generation but suffer from significant latency due to the quadratic complexity of attention. B

Spiking Sequence Machines and Transformers

arXiv:2605.00662v1 Announce Type: cross Abstract: Sequence learning reduces to similarity-based retrieval over a temporally indexed representation space, a constraint on any sequence model, not a prop

SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting

arXiv:2605.00126v1 Announce Type: new Abstract: Generative models for time-series imputation achieve strong reconstruction accuracy, yet provide no finite-sample reliability guarantees, a critical lim

Stable-GFlowNet: Toward Diverse and Robust LLM Red-Teaming via Contrastive Trajectory Balance

arXiv:2605.00553v1 Announce Type: new Abstract: Large Language Model (LLM) Red-Teaming, which proactively identifies vulnerabilities of LLMs, is an essential process for ensuring safety. Finding effec

Starlink on Singapore Airlines! 🇸🇬

Starlink on Singapore Airlines! 🇸🇬 We’re enhancing our complimentary in flight Wi-Fi offering across all cabin classes on our Airbus A350-900 long-haul and ultra-long-range fleet and A380 aircraft fro

industryelon-musk--x

Agents

Start today → https://docs.langchain.com/oss/python/deepagents/cli/overview

Start today → https://docs.langchain.com/oss/python/deepagents/cli/overview deepagents-cli is quietly becoming the best place to start coding with open weight models. we've been investing heavily in m

agentsharrison-chase--x

State Stream Transformer (SST) V2: Parallel Training of Nonlinear Recurrence for Latent Space Reasoning

model-releasesarxiv-cs-cl

arXiv:2605.00206v1 Announce Type: cross Abstract: Current transformers discard their rich latent residual stream between positions, reconstructing latent reasoning context at each new position and lea

Static and Dynamic Graph Alignment Network for Temporal Video Grounding

model-releasesarxiv-cs-cv

arXiv:2605.00684v1 Announce Type: new Abstract: Temporal Video Grounding (TVG) aims to localize temporal moments in an untrimmed video that semantically correspond to given natural language queries. R

Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium

arXiv:2503.10990v2 Announce Type: replace-cross Abstract: Aligning large language models (LLMs) with diverse human preferences is critical for ensuring fairness and informed outcomes when deploying th

Statistical Testing Framework for Clustering Pipelines by Selective Inference

arXiv:2603.18413v3 Announce Type: replace-cross Abstract: A data analysis pipeline is a structured sequence of steps that transforms raw data into meaningful insights by integrating multiple analysis

Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas

arXiv:2603.28980v2 Announce Type: replace Abstract: The synthesis of immersive 3D scenes from text is rapidly maturing, driven by novel video generative models and feed-forward 3D reconstruction, with

Stereo Multistage Spatial Attention for Real-Time Mobile Manipulation Under Visual Scale Variation and Disturbances

arXiv:2605.00471v1 Announce Type: new Abstract: Robots operating in open, unstructured real-world environments must rely on onboard visual perception while autonomously moving across different locatio

applicationsarxiv-cs-ro

Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis

arXiv:2512.01116v3 Announce Type: replace Abstract: The integration of histology images and gene profiles has shown great promise for improving survival prediction in cancer. However, current approach

Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation

arXiv:2605.00318v1 Announce Type: new Abstract: Tabular documents such as CSV and Excel files are widely used in enterprise data pipelines, yet existing chunking strategies for retrieval-augmented gen

applicationsarxiv-cs-cl

Structure Liberates: How Constrained Sensemaking Produces More Novel Research Output

arXiv:2605.00557v1 Announce Type: new Abstract: Scientific discovery is an extended process of ideation--surveying prior work, forming hypotheses, and refining reasoning--yet existing approaches treat

researcharxiv-cs-cl

Tutorials

Structured In-context Environment Scaling for Large Language Model Reasoning

arXiv:2509.23330v3 Announce Type: replace Abstract: Large language models (LLMs) have achieved significant advancements in reasoning capabilities through reinforcement learning (RL) via environmental

tutorialsarxiv-cs-cl

Sure About That Line? Approaching Confidence-Based, Real-Time Line Assignment in Reading Gaze Data

arXiv:2605.00033v1 Announce Type: cross Abstract: Remote and webcam-based eye tracking in multi-line reading suffers from various noise factors and layout ambiguity, precisely where real-time reading

Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue

arXiv:2605.00506v1 Announce Type: new Abstract: We model utterance production as probabilistic cost-sensitive choice over contextual alternatives, using information-theoretic notions of cost. We disti

applicationsarxiv-cs-cl

Surprisingly High Redundancy in Electronic Structure Data Across Materials Explained by Low Intrinsic Dimensionality

arXiv:2507.09001v3 Announce Type: replace-cross Abstract: Machine learning (ML) models for electronic structure typically rely on large datasets generated by computationally expensive Kohn-Sham densit

Agents

Swarm management in agent harnesses: owning long-running agents

As we have built our own harness management tools internally at Arize, and watched external systems like Devin @cognition start managing other Devins, managed agents at @AnthropicAI and long running T

agentsarize-ai

SynQuE: Estimating Synthetic Dataset Quality Without Annotations

arXiv:2511.03928v5 Announce Type: replace Abstract: We introduce and formalize the Synthetic Dataset Quality Estimation (SynQuE) problem: ranking synthetic datasets by their expected real-world task p

applicationsarxiv-cs-lg

Tailoring AI solutions for health care needs

The AI market is full of big promises of grand transformation. Health care is a prime target for those promises, beset as it is by financial pressures, labor shortages, and the growing burden of carin

researchmit-tech-review

Task-Conditioned Uncertainty Costmaps for Legged Locomotion

arXiv:2605.00261v1 Announce Type: new Abstract: Legged robots maintain dynamic feasibility through multicontact interactions with terrain. Learned foothold prediction can provide feasibility-aware cos

applicationsarxiv-cs-ro

Technical Report: Activation Residual Hessian Quantization (ARHQ) for Low-Bit LLM Quantization

arXiv:2605.00140v1 Announce Type: cross Abstract: We present Activation Residual Hessian Quantization (ARHQ), a post-training weight splitting method designed to mitigate error propagation in low-bit

researcharxiv-cs-cl

Temporal Data Requirement for Predicting Unplanned Hospital Readmissions

arXiv:2605.00738v1 Announce Type: new Abstract: With the proliferation of Electronic Health Records (EHRs), a critical challenge in building predictive models is determining the optimal historical dat

Local Ai

Tempus: A Temporally Scalable Resource-Invariant GEMM Streaming Framework for Versal AI Edge

arXiv:2605.00536v1 Announce Type: cross Abstract: Scaling laws for Large Language Models (LLMs) establish that model quality improves with computational scale, yet edge deployment imposes strict const

local-aiarxiv-cs-lg

Tesla owners in the Netherlands have driven 10 million km on FSD Supervised in under a month! Thank you for making Dutch roads safer 🤝

Tesla owners in the Netherlands accumulated 10 million kilometers of driving using FSD (Full Self-Driving) Supervised within one month of its availability in the country. Elon Musk highlighted this mi

industryelon-musk--x

That doesn't mean that there should not be regulation and vetting, but it does suggest that is hard to write a criteria right now that is no…

applicationsethan-mollick--x

That doesn't mean that there should not be regulation and vetting, but it does suggest that is hard to write a criteria right now that is not somewhat vague. More R&D into non-lab benchmarks is urgent

The Algorithmic Gaze of Image Quality Assessment: An Audit and Trace Ethnography of the LAION-Aesthetics Predictor

arXiv:2601.09896v4 Announce Type: replace-cross Abstract: Visual generative AI models are trained using a one-size-fits-all measure of aesthetic appeal. However, what is deemed 'aesthetic' is inextric

Hardware

The case against OpenAI is getting markedly stronger now that Musk is off the stand. Why? Musk’s lawyer is interrogating OpenAI founder Greg…

The case against OpenAI is getting markedly stronger now that Musk is off the stand. Why? Musk’s lawyer is interrogating OpenAI founder Greg Brockman, making clear that OpenAI sold its mission as a no

hardwaregary-marcus--x

The creator of Roomba is back with a furry robot companion

Colin Angle, the maker of the Roomba and the man who helped put 50 million household robots into people's homes, is back with a new robot. But this one is designed as a companion, not a cleaner. The f

industrythe-verge-ai

The Determinism of Randomness: Latent Space Degeneracy in Diffusion Model

arXiv:2511.07756v4 Announce Type: replace Abstract: Diffusion models initialize generation from an isotropic Gaussian latent, yet changing only the random seed can substantially alter prompt faithfuln

safetyarxiv-cs-cv

The distillation panic

The article discusses concerns about the widespread use of knowledge distillation in AI development, where larger models' outputs are used to train smaller models, potentially creating a cycle of degr

researchinterconnects