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Segmentation-Driven Monocular Shape from Polarization based on Physical Model

arXiv:2601.04776v2 Announce Type: replace Abstract: Monocular shape-from-polarization (SfP) leverages the intrinsic relationship between light polarization properties and surface geometry to recover s

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Since Blair - 30 years ago - people voted against mass immigration. Every election, they got up, got dressed, found a pilling station and vo…

DGX agent

Since Blair - 30 years ago - people voted against mass immigration. Every election, they got up, got dressed, found a pilling station and voted to end mass immigration. 30 years they did that. Nothing

applicationselon-musk--x

10 Jun 2026

So the message I am getting is that I can't use Fable to further accelerate AI research and education. No company will decide that for me. J…

So the message I am getting is that I can't use Fable to further accelerate AI research and education. No company will decide that for me. Just an absolutely sad day for the research community. As a d

applicationsdair-ai--x

Supervised Fine-tuning with Synthetic Rationale Data Hurts Real-World Disease Prediction

arXiv:2606.10279v1 Announce Type: new Abstract: Supervised fine-tuning with synthetic rationale data is widely assumed to improve language model performance on clinical prediction tasks by teaching mo

'Switch to a cheaper model to save money' is a problem because cheaper models are worse (maybe they are good enough for a particular purpose…

'Switch to a cheaper model to save money' is a problem because cheaper models are worse (maybe they are good enough for a particular purpose, but still worse). More often a better approach is hierarch

Swivuriso: The South African Next Voices Multilingual Speech Dataset

arXiv:2512.02201v3 Announce Type: replace Abstract: This paper introduces Swivuriso, a 3000-hour multilingual speech dataset developed as part of the African Next Voices project, to support the develo

applicationsarxiv-cs-cl

SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning

arXiv:2606.09853v1 Announce Type: new Abstract: A central objective in multimodal learning is to capture synergy: task-relevant information that arises only from the joint use of multiple modalities,

The core problem with open weights is that the business model of frontier open weights AI does not look like open source, as there are very …

The core problem with open weights is that the business model of frontier open weights AI does not look like open source, as there are very few cases where you can make money from closed ancillary ser

The FBI seizes 13 domains allegedly tied to fake consulting firms that sought information from US government and military employees for suspected Chinese agents (A.J. Vicens/Reuters)

A.J. Vicens / Reuters: The FBI seizes 13 domains allegedly tied to fake consulting firms that sought information from US government and military employees for suspected Chinese agents — Federal author

applicationstechmeme

This was after a 9 hour task, and it all makes sense, actually, but takes way too much effort to parse, like reading Shakespearian English.

Ethan Mollick discusses cognitive fatigue and information comprehension, noting that after extended work periods, understanding complex or unfamiliar material becomes exponentially harder despite the

Toward Proactive RF Charging Scheduling: Generative AI for Decision Support

arXiv:2606.10600v1 Announce Type: cross Abstract: Radio frequency wireless power transfer (RF-WPT) is an enabling technology for supporting uninterrupted communications in future Internet of Things sy

Trace2Policy: From Expert Behavior Traces to Self-Evolving Decision Agents

arXiv:2606.10457v1 Announce Type: new Abstract: Decision rules that enterprise experts apply tacitly -- in auditing, compliance, and contract review -- can be systematically recovered and improved thr

Try it out in Comfy today!

Try it out in Comfy today! 🎥Bria’s V-RMBG 3.0 is live! A state-of-the-art upgrade to the only end-to-end video background removal suite in production today. Benchmarked against every major competitor.

applicationscomfyui--x

UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation

arXiv:2606.10466v1 Announce Type: cross Abstract: In time-series generation, existing approaches typically handcraft ortrain a separate model for each dataset, which hinders their scalability and fail

Using the YOLOv12 Model for Verifying the Correct Color Sequence of Wires in Network Cables (Patch Cords) on the Production Line

arXiv:2606.10699v1 Announce Type: cross Abstract: In the production process of network cables, ensuring the correct color sequence of wire pairs inside the standard connector plays a critical role in

VeriSpace: Spatially Grounded Action Verification for Vision-Language-Action Models

arXiv:2606.10568v1 Announce Type: new Abstract: Vision-language-action (VLA) models have shown strong promise for robotic manipulation, but their reliability at test time remains limited by one-shot a

applicationsarxiv-cs-ro

What to expect at the Databricks Data + AI Summit: Join theCUBE June 16

This new era of artificial intelligence is all about getting the most value out of data, and Databricks Inc. is at the center of that development. Following competitor Snowflake Inc.’s annual summit l

applicationssiliconangle

What to expect during Pure Accelerate: Join theCUBE June 17

Enterprise storage is being repositioned for the artificial intelligence era, and one of the leading players in the field has actively pursued an agenda aimed at operationalizing data. Everpure Inc.,

applicationssiliconangle

Who is the greatest scientist of all time (in terms of Google Scholar citations)? Is it Einstein? Or Bengio or Hinton? No. It is a humble se…

Who is the greatest scientist of all time (in terms of Google Scholar citations)? Is it Einstein? Or Bengio or Hinton? No. It is a humble servant of knowledge, Mr. Rachmad of Indonesia, who has had a

A Mechanistic Analysis of Adversarial Fine-tuning of Vision Transformers

arXiv:2606.07593v1 Announce Type: cross Abstract: The widespread use of image classification models in high-risk, real-world situations necessitates making these models robust to slight disturbances o

A simple but highly effective use case for Runway: A major media company built an end-credits automation workflow that restyles credit seque…

applicationscristobal-valenzuela--x

A simple but highly effective use case for Runway: A major media company built an end-credits automation workflow that restyles credit sequences while preserving text overlays across 20–25 episodes pe

A US judge cancels a Mississippi trial and disqualifies and fines lawyers on both sides after finding their filings were filled with hallucinated case citations (Jason Koebler/404 Media)

Jason Koebler / 404 Media: A US judge cancels a Mississippi trial and disqualifies and fines lawyers on both sides after finding their filings were filled with hallucinated case citations — When two A

applicationstechmeme

Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance

arXiv:2606.07630v1 Announce Type: cross Abstract: Real-world datasets across image and text domains are often characterized by skewed class distributions and noisy annotations, which jointly degrade m

Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling

arXiv:2502.01226v4 Announce Type: replace Abstract: Gaussian process (GP) bandits provide a powerful framework for performing blackbox optimization of unknown functions. The characteristics of the unk

Adversarial Robustness of Activation Steering in Large Language Models

arXiv:2606.07696v1 Announce Type: cross Abstract: Activation steering has become a popular training-free method to control LLM behavior by injecting precomputed direction vectors into the model's resi

AI-Augmented Closed-Loop Quality Engineering: A Reference Architecture for Continuous Software Quality Intelligence

arXiv:2606.08793v1 Announce Type: cross Abstract: The quality of software engineering is still under a challenge due to disjointed processes between requirements, testing, and production, which hinder

Analysis of Information Theory for Explainable AI

arXiv:2507.09092v2 Announce Type: replace Abstract: With the intervention of machine vision in our crucial day to day necessities including healthcare and automated power plants, attention has been dr

AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation

arXiv:2603.25726v3 Announce Type: replace Abstract: We present AnyHand, a large-scale synthetic dataset designed to advance the state of the art in 3D hand pose estimation. While recent works with fou

Bastrop, Texas will soon become home to one of the largest solar cell and wafer production facilities in North America with @SpaceX's new in…

Bastrop, Texas will soon become home to one of the largest solar cell and wafer production facilities in North America with @SpaceX's new investments in the area, creating thousands of jobs. The solar

applicationselon-musk--x

Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling

arXiv:2606.07546v1 Announce Type: cross Abstract: Capturing user interests across extensive watch histories is critical for short-form video recommendation, yet scaling sequence length is limited by t

Beyond Probabilistic Similarity: Structural, Temporal, and Causal Limitations of Retrieval-Augmented Generation in the Legal Domain

arXiv:2606.09724v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has become a standard architectural response to unreliability in legal AI, yet high-profile failures, including fab

Both Anthropic and OpenAI mention the possibilities of slowing AI development in their latest 'what comes next' in AI posts, but say they ne…

Both Anthropic and OpenAI mention the possibilities of slowing AI development in their latest 'what comes next' in AI posts, but say they need to be an action coordinated across the entire world using

CAD-Prompted SAM3: Geometry-Conditioned Instance Segmentation for Industrial Objects

arXiv:2602.20551v3 Announce Type: replace Abstract: Verbal-prompted segmentation is inherently limited by the expressiveness of natural language and struggles with uncommon, instance-specific, or diff

Can LLMs extract scientific consensus? A case study in high-temperature superconductivity

arXiv:2606.07570v1 Announce Type: cross Abstract: Scientific knowledge is increasingly dispersed across vast and heterogeneous scientific literature, where important claims are often implicit, evolvin

Characterizing the Discrete Geometry of ReLU Networks

arXiv:2606.07728v1 Announce Type: new Abstract: It is well established that ReLU networks define continuous piecewise-linear functions, and that their linear regions are polyhedra in the input space.

Complement or substitute? How AI increases the demand for human skills

arXiv:2412.19754v4 Announce Type: replace-cross Abstract: Artificial Intelligence (AI) is transforming the nature of work, yet there is limited empirical evidence on how it affects demand for human sk

CP4D: Compositional Physics-aware 4D Scene Generation

arXiv:2606.09187v1 Announce Type: new Abstract: 4D generation (extit{i.e.}, dynamic 3D generation) has recently emerged as a rapidly growing research frontier due to its powerful spatiotemporal modeli

CSFlow: Aligning Flow Matching with Human Contrast Sensitivity

arXiv:2606.08833v1 Announce Type: new Abstract: We introduce Contrast Sensitive Flow (CSFlow), a weighting scheme that connects the human eye's Contrast Sensitivity Function (CSF) to the iterative den

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity

arXiv:2606.07726v1 Announce Type: new Abstract: Large Language Models are typically benchmarked by evaluating every model on every test query. For practitioners seeking the best model to deploy, this

Cybernetic Android Avatar 'Yui': System Integration, Field Deployment, and Evaluation

arXiv:2606.08099v1 Announce Type: new Abstract: Remote communication technologies have become widely used; however, supporting a sense of shared physical space and conveying rich non-verbal cues remai

applicationsarxiv-cs-ro

Differentially Private Synthetic Data via APIs 4: Tabular Data

arXiv:2606.08259v1 Announce Type: new Abstract: This paper investigates the problem of generating synthetic tabular data with differential privacy (DP) guarantees, enabling data sharing in sensitive d

DOME: Learning Transferable Domain Variables from Sparse Supervision for Test-Time Adaptation

arXiv:2606.07646v1 Announce Type: cross Abstract: Test-time adaptation (TTA) aims to align a model to shifting test domains using only unlabeled streaming data. Most existing methods implicitly infer

DroneDAR: Long-Range Drone Distance Estimation Using Monocular Vision and Bounding-Box Features

arXiv:2606.07756v1 Announce Type: new Abstract: Accurate distance estimation for small drones in long-range imagery is important for tracking and situational awareness, yet remains challenging due to

DSFNet: Learning Dual-Domain Spectral Operators for Multi-Modality Spatio-Temporal Forecasting in Urban Transportation Systems

arXiv:2606.07695v1 Announce Type: cross Abstract: Multi-Modality Spatio-Temporal Forecasting (MoSTF) extends traditional spatio-temporal forecasting by incorporating diverse traffic modalities. Despit

DynaOD: Dynamic Origin-Destination Flow Generation with Discrete-to-Continuous Temporal Semantic Modeling

arXiv:2606.09086v1 Announce Type: new Abstract: Dynamic origin-destination (OD) flow generation seeks to synthesize realistic mobility dynamics from temporal context alone, without relying on historic

eBook: Exploring the Future of AI Infrastructure

As AI moves from experimentation to production, infrastructure requirements are evolving rapidly. This eBook examines the market, technology, and operational shifts driving the next generation of clou

applicationsvultr

Efficient Scaling of LLM Training with Flexible Context Parallelism

arXiv:2602.21788v2 Announce Type: replace-cross Abstract: Scaling long-context capabilities is crucial for Large Language Models (LLMs). However, real-world data contain a large number of sequences wi

Fable: 'create a visually interesting shader that can run in twigl-dot-app make it like an infinite city of neo-gothic towers partially drow…

Fable: 'create a visually interesting shader that can run in twigl-dot-app make it like an infinite city of neo-gothic towers partially drowned in a stormy ocean with large waves.' 'Make it better' Al