All entries

AgentBetta: Verification-Driven Adaptive Configuration of an AI Nano-Agent through Selective Expansion and Verified Contraction

model-releasesarxiv-cs-ai

arXiv:2609.23512v1 Announce Type: new Abstract: Large language model agents are typically deployed with predefined configurations, although the required model capability, context, tools, permissions,

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Safety

Agentic Building-Aware Satellite Gaussian Splatting for Auditable Urban DSM Reconstruction

DGX agent

arXiv:2609.25578v1 Announce Type: new Abstract: Urban-scale 3D reconstruction from satellite imagery supports disaster response, city monitoring, and geospatial digital twins, yet neural rendering met

safetyarxiv-cs-cv

23 Sept 2026

Agents

Agentic conversational video intelligence built on AWS

Learn how to build a conversational video intelligence solution on AWS using an agentic architecture. A single Strands Agents SDK agent orchestrates Amazon Bedrock, Amazon Rekognition, and Amazon Tran

agentsaws-ml-blog

Agentic Explainable Artificial Intelligence (Agentic XAI) Approach To Explore Better Explanation: A Case Study in Decision Support for Rice Cultivation in Japan

arXiv:2512.21066v4 Announce Type: replace Abstract: Explainable artificial intelligence (XAI) reveals how explanatory variables relate to a response variable, yet communicating XAI outputs to layperso

safetyarxiv-cs-ai

Local Ai

Agents That Edit Documents: Measuring Agentic PDF Forgery Against a Non-Agentic Control

arXiv:2609.23953v1 Announce Type: new Abstract: AI agents that carry a multi-step computer task through on their own became ordinary tools in the past year, and the same autonomy is available to anyon

local-aiarxiv-cs-ai

Agreement Overstates Evidence: Error Dependence in LLM Judge Consensus

arXiv:2609.22512v1 Announce Type: new Abstract: Consensus among LLM judges is often taken as strong evidence that a decision is correct. This assumes that judges make their errors independently. In pr

AgriGen: Large-Scale Scene Generation Framework for Photorealistic Agricultural Robotics Simulation

arXiv:2609.25725v1 Announce Type: new Abstract: Agricultural robotics is advancing rapidly, yet progress remains constrained by limited field access, lack of control over field conditions, geographic

researcharxiv-cs-ro

Hardware

AI drug discovery startup Basecamp Research raises $140M

Basecamp Research Ltd. today announced that it has raised 140 million in funding from a group of prominent investors. S32, a fund affiliated with Google LLC co-founder Bill Maris, led the Series C rou

hardwaresiliconangle

Industry

AI is rewriting the private cloud playbook as Dell moves beyond traditional HCI

Private cloud infrastructure is taking on a new role as enterprises rethink where workloads should run and how systems should be built for artificial intelligence. The shift is being driven by several

industrysiliconangle

AIBuildAI-2.5: Efficient Autonomous AI Model Development Through LLM-Guided Tree Search

model-releasesarxiv-cs-cl

arXiv:2609.25047v1 Announce Type: new Abstract: Autonomous agents that automatically build artificial intelligence (AI) models could broaden access to AI across science and engineering. A popular line

AIGC Video Detection based on the fusion of spatial-frequency-optical flow multimodal features

arXiv:2609.26274v1 Announce Type: new Abstract: The rapid evolution of generative AI (e.g., Sora, Hunyuan) makes it essential to develop effective detection strategies that can generalize across ever-

safetyarxiv-cs-cv

Alert: Apple just dropped a new model on Hugging Face. It's a Qwen3.5-9B finetune that turns long documents into small page images to save t…

model-releasesclem-delangue--x

Alert: Apple just dropped a new model on Hugging Face. It's a Qwen3.5-9B finetune that turns long documents into small page images to save tokens, then pulls up the full text of only the pages relevan

An Accurate and Interpretable Hyper Graph Neural Network for GBM Survival Prediction

arXiv:2609.25088v1 Announce Type: cross Abstract: Survival prediction for glioblastoma multiforme (GBM) demands models that are both accurate and interpretable, yet existing approaches treat these obj

researcharxiv-cs-lg

An Action Is Worth One Patch: Unified World-Action Modeling with PatchWAM

model-releasesarxiv-cs-ro

arXiv:2609.25961v1 Announce Type: new Abstract: Generative visual models offer a foundation for learning representations of physical dynamics, yet their extension to continuous control raises a fundam

An Exploratory Replica-Overlap Probe of the Grokking Transition

model-releasesarxiv-cs-lg

arXiv:2609.25634v1 Announce Type: new Abstract: We trained 64 independently seeded networks in four configurations, continuing each to sustained convergence or a 40,000-epoch ceiling. We then asked wh

An Implant-to-Wearable IR-UWB Transmitter-Receiver Architecture and Layered Protocol for High-Density Brain-Computer Interfaces

arXiv:2609.22207v1 Announce Type: cross Abstract: High-rate neural telemetry requires an implant-towearable link whose circuit partition, waveform mapping, packet processing, and failure semantics are

Applications

Angular momentum analysis on Karate roundhouse kicks: a longitudinal case study

arXiv:2609.25374v1 Announce Type: new Abstract: Human gait in reality extends beyond straight-line walking, with some situations even requiring drastic back-and-forth rotations. A smooth and stable ex

applicationsarxiv-cs-ro

Annie, Are You Okay? How Style- and Context-Based Personalization Shape AI-Assisted Decision-Making

arXiv:2609.24644v1 Announce Type: cross Abstract: As people turn to generative AI for financial advice, these systems can personalize how they communicate and what they say. Whether these forms of per

Annual Earth-observation embeddings encode wildfire disturbance and support simplified burned area mapping

model-releasesarxiv-cs-cv

arXiv:2609.25731v1 Announce Type: new Abstract: Medium-resolution (10-30 m) burned area mapping is vital for monitoring wildfires and their impacts, but remains difficult to scale. Existing methods re

Anthropic says Claude autonomously discovered a new enzyme system in the DNA of bacteriophages, somewhat similar to CRISPR, the first result from its new biolab (Robert Hart/The Verge)

Robert Hart / The Verge: Anthropic says Claude autonomously discovered a new enzyme system in the DNA of bacteriophages, somewhat similar to CRISPR, the first result from its new biolab — It took near

model-releasestechmeme

Anthropic’s biolab made a discovery it’s comparing to Crispr

model-releasesthe-verge-ai

Anthropic says its AI Claude has 'autonomously discovered' a new enzyme system similar to machinery behind the powerful gene-editing tool Crispr. It's the first result from Anthropic's newly-launched

APEXA: Execution-Integrity Enforcement for Multi-Agent LLM Automation of Synchrotron Data Reduction

model-releasesarxiv-cs-ai

arXiv:2609.24165v1 Announce Type: new Abstract: Synchrotron data reduction, detector calibration followed by azimuthal integration of terabyte-scale diffraction series, is a multi-step, expert-bound b

apple/LensVLM-9B · Hugging Face

model-releasesr-localllama

https://huggingface.co/bartowski/LensVLM-9B-GGUF LensVLM-9B LensVLM is a 9B Vision Language Model (VLM) that scans compressed images of text, then selectively expands only the relevant pages to their

ARAFA: An LLM-Generated Arabic Fact-Checking Dataset

arXiv:2609.25833v1 Announce Type: new Abstract: Automatic fact-checking poses a significant challenge in Arabic natural language processing due to the scarcity of datasets and resources. In this manus

researcharxiv-cs-cl

Hardware

ArborSplat: Online Semantic Gaussian Splatting SLAM for Orchards

arXiv:2609.26315v1 Announce Type: new Abstract: Orchard robots need maps that preserve small but semantically important structures such as trunks, trellises, and fruit. 3D Gaussian Splatting (3DGS) SL

hardwarearxiv-cs-ro

Tools

ARCv3 is Fireworks' new compressor for RL. It cuts the size of BF16 weight updates by nearly 50%, which makes cross-region training more pra…

ARCv3 is Fireworks' new compressor for RL. It cuts the size of BF16 weight updates by nearly 50%, which makes cross-region training more practical and keeps rollouts current. For teams using their own

toolsfireworks-ai--x

Are Human-Aligned Models Models of Humans? A Turing-Test Gap in Preference Alignment

arXiv:2609.23640v1 Announce Type: new Abstract: Human-feedback alignment has made language models useful assistants and is commonly described as aligning them with humans. However, the responses peopl

safetyarxiv-cs-ai

Artificial Neural Networks as Surrogate Models in Black Box Optimization

arXiv:2609.22329v1 Announce Type: cross Abstract: Black-Box Optimization (BBO) is often applied in several engineering fields and can utilize an advancement of numerical measure- ments and simulation

'As a Language Model...': Chat Template Switches LLM Self-Referential Voice and Activation Steering Reproduces It

arXiv:2609.25021v1 Announce Type: cross Abstract: Large Language Models (LLMs) tend to add disclaimers like 'I'm just an AI' when asked about something related to themselves. The self-reports from suc

safetyarxiv-cs-cl

Agents

Ascent: An Agentic System over the Model Context Protocol for Real-World Clinical Data Analysis

arXiv:2609.24620v1 Announce Type: new Abstract: Answering epidemiological questions from real-world clinical data requires medical coding, schema-aware SQL, and validation of implicit choices about po

agentsarxiv-cs-ai

ASTRA-SR: Atmospheric Seeing and Turbulence Restoration for Astronomical Image Super-Resolution

arXiv:2609.26731v1 Announce Type: new Abstract: Ground-based planetary imaging suffers from atmospheric turbulence, sensor noise, and limited sampling, making restoration a joint denoising, deblurring

researcharxiv-cs-cv

Hardware

At AI Day Singapore, NVIDIA and Partners Showcase AI Advancements Across Southeast Asia

hardwarenvidia-genai-blog

NVIDIA AI Day Singapore, which takes place Sept. 22-23 at the Raffles City Convention Centre, is offering attendees opportunities to explore the hands-on training, expert-led sessions and advanced too

At its Accelerate conference, Amazon says it is opening its seller tools to third-party AI agents, starting with Claude, in beta for US merchants (Todd Bishop/GeekWire)

Todd Bishop / GeekWire: At its Accelerate conference, Amazon says it is opening its seller tools to third-party AI agents, starting with Claude, in beta for US merchants — Amazon announced new AI tool

model-releasestechmeme

AT3D-AD: Anomaly Type-Aware 3D Anomaly Detection via Hierarchical Point-Language Alignment

arXiv:2609.25930v1 Announce Type: new Abstract: Detecting and localizing 3D point-cloud defects is essential for industrial inspection. However, existing methods often suffer from imprecise localizati

safetyarxiv-cs-cv

Attempting to build my own personal assistant and interface - Beginner

Yep. I just need tips honestly on UI layouts and how to build my shell for the local api offline. I’m using qwen and ollama and just want a simple discord style interface to declutter my brain to like

model-releasesr-ollama

Attention as a Routing Graph: Live Circuit Extraction from a Single Forward Pass

arXiv:2609.25285v1 Announce Type: cross Abstract: Finding circuits in language models usually means running many careful interventions. We try something simpler: treat attention as a routing map from

researcharxiv-cs-lg

Auditing Proxy-Based Validation Across Text Spans

model-releasesarxiv-cs-cl

arXiv:2609.25808v1 Announce Type: cross Abstract: Evaluation scores are often validated by their agreement with inexpensive proxy labels. When the score and the proxy are computed from the same text s

AURA: Angular Update Rate Adaptation for training complex-valued neural networks

model-releasesarxiv-cs-lg

arXiv:2609.25914v1 Announce Type: new Abstract: Complex-valued neural networks (CVNNs) are increasingly adopted for complex-valued data; however, they are often trained with first-order optimizers inh

Automatic depth-based local center clustering via eta-integrated local depth and adaptive grouping

model-releasesarxiv-cs-lg

arXiv:2609.26748v1 Announce Type: cross Abstract: Clustering is an unsupervised learning technique that partitions unlabeled data into groups. Most existing methods require user-specified parameters,

b11117

HIP : optimize IQ2/IQ3 (__vsub4 __vcmpne4) using SWAR (#27962) HIP : use bit manipulation for __vcmpne4 HIP : use bit manipulation for __vsub4 Website: https://llama.app Attestations: https://github.c

b11118

hex-dma: introduce direct-mapped DMA cache that is better suited for HVX FA mask handling (#29282) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49404271

b11119

sampler: reduce the size of the probe (#29285) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49443624 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple S

b11120

vulkan: hide internal symbols to prevent duplicate-dlopen state destruction (#29139) Since #28732 our internal symbols are exported. A duplicate copy dlopened and dlclosed by ggml_backend_load_all() t

b11121

sycl : support op get_rows_back, only support fp32/fp16 (#25266) resovle confict support gedt_rows_back, update the ops.md Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cp

b11122

sycl: extend MMVQ GLU fusion, add rms_norm+scale and ssm_conv+silu fusions (#28931) sycl : extend MMVQ GLU fusion to mixed quant types; add rms_norm+scale and ssm_conv+silu fusions fixing spacing issu

b11123

sycl : support new UT case for mul_mat_hadamard fp16 (#29218) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49484593 macOS/iOS: macOS Apple Silicon (arm64

b11124

cuda: top-k MoE should always fire (#28432) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49495074 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Sili

b11125

ggml-meta: resolve multi buffer views (#29266) ggml-meta: resolve multi buffer views add TODO to revisit if graph allocator gets refactored Website: https://llama.app Attestations: https://github.com/