Search: “research”

Out of Context: Reliability in Multimodal Anomaly Detection Requires Contextual Inference

model-releasesarxiv-cs-lg

arXiv:2604.13252v1 Announce Type: new Abstract: Anomaly detection aims to identify observations that deviate from expected behavior. Because anomalous events are inherently sparse, most frameworks are

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Agents

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution

DGX agent

arXiv:2512.10696v2 Announce Type: replace-cross Abstract: Procedural memory enables large language model (LLM) agents to internalize 'how-to' knowledge, theoretically reducing redundant trial-and-erro

agentsarxiv-cs-cl

16 Apr 2026

Representation over Routing: Overcoming Surrogate Hacking in Multi-Timescale PPO

arXiv:2604.13517v1 Announce Type: new Abstract: Temporal credit assignment in reinforcement learning has long been a central challenge. Inspired by the multi-timescale encoding of the dopamine system

safetyarxiv-cs-lg

RFK Jr. forces FDA to reconsider 12 unproven peptides after 2023 ban

In 2023, the FDA removed 19 peptides from the list of drugs that compounding pharmacies could produce, and in 2026 the FDA announced it will review whether to add back 7 of these peptides following pr

safetyars-technica

Soft Q(lambda): A multi-step off-policy method for entropy regularised reinforcement learning using eligibility traces

arXiv:2604.13780v1 Announce Type: new Abstract: Soft Q-learning has emerged as a versatile model-free method for entropy-regularised reinforcement learning, optimising for returns augmented with a pen

safetyarxiv-cs-lg

Spectral methods: crucial for machine learning, natural for quantum computers?

arXiv:2603.24654v2 Announce Type: replace-cross Abstract: This article presents an argument for why quantum computers could unlock new methods for machine learning. We argue that spectral methods, in

safetyarxiv-cs-lg

this is fun. been trying eeg headsets for 10 yrs, the hat makes so much sense :)

this is fun. been trying eeg headsets for 10 yrs, the hat makes so much sense :) you can now control things with your brain. literally. we're building the most wearable BCI on the planet, with @sabica

agentsyohei-nakajima--x

TSMC CEO C.C. Wei says TSMC checked with customers about AI demand and was reassured that it was still strong amid the Iran war, as it raises revenue forecasts (Wall Street Journal)

Wall Street Journal: TSMC CEO C.C. Wei says TSMC checked with customers about AI demand and was reassured that it was still strong amid the Iran war, as it raises revenue forecasts — Taiwan company ex

UMI-3D: Extending Universal Manipulation Interface from Vision-Limited to 3D Spatial Perception

arXiv:2604.14089v1 Announce Type: new Abstract: We present UMI-3D, a multimodal extension of the Universal Manipulation Interface (UMI) for robust and scalable data collection in embodied manipulation

safetyarxiv-cs-ro

Why dynamically routing multi-timescale advantages in PPO causes policy collapse (and a simple decoupled fix) [R]

This Reddit post discusses a known instability in PPO when advantage estimates operating across different temporal scales (e.g., short-horizon and long-horizon returns) are dynamically routed or mixed

safetyr-machinelearning

Applications

390M+ embeddings. 100K+ namespaces. Sustained P50 latency of ~60ms at ~40 QPS. 📈 @ZoomInfo used our Dedicated Read Nodes, now in GA, to byp…

390M+ embeddings. 100K+ namespaces. Sustained P50 latency of ~60ms at ~40 QPS. 📈 @ZoomInfo used our Dedicated Read Nodes, now in GA, to bypass the 'infrastructure wall' and ship real-time AI recommend

applicationspinecone--x

A Comparison of Reinforcement Learning and Optimal Control Methods for Path Planning

arXiv:2604.12628v1 Announce Type: cross Abstract: Path-planning for autonomous vehicles in threat-laden environments is a fundamental challenge. While traditional optimal control methods can find idea

safetyarxiv-cs-ro

A longitudinal health agent framework

arXiv:2604.12019v1 Announce Type: new Abstract: Although artificial intelligence (AI) agents are increasingly proposed to support potentially longitudinal health tasks, such as symptom management, beh

Agentic Discovery with Active Hypothesis Exploration for Visual Recognition

arXiv:2604.12999v1 Announce Type: new Abstract: We introduce HypoExplore, an agentic framework that formulates neural architecture discovery for visual recognition as a hypothesis-driven scientific in

agentsarxiv-cs-cv

@agi_inc Rsvp to be invited to our future events: https://luma.com/9zbd9pqq

AGI Inc. is promoting upcoming events and inviting interested individuals to RSVP through a Luma event page to secure invitations. Luma is a platform commonly used for organizing and managing event re

agentsdiv-garg--x

AISafetyBenchExplorer: A Metric-Aware Catalogue of AI Safety Benchmarks Reveals Fragmented Measurement and Weak Benchmark Governance

arXiv:2604.12875v1 Announce Type: new Abstract: The rapid expansion of large language model (LLM) safety evaluation has produced a substantial benchmark ecosystem, but not a correspondingly coherent m

AMD, Arm, and Qualcomm invest 60M in London-based self-driving tech startup Wayve as part of an extension to its 1.2B Series D, announced in February (Kirsten Korosec/TechCrunch)

Kirsten Korosec / TechCrunch: AMD, Arm, and Qualcomm invest 60M in London-based self-driving tech startup Wayve as part of an extension to its 1.2B Series D, announced in February — Chipmakers AMD, Ar

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic

arXiv:2604.12857v1 Announce Type: new Abstract: Autonomous vehicles (AVs) are now operating on public roads, which makes their testing and validation more critical than ever. Simulation offers a safe

agentsarxiv-cs-ai

Applications

BarbieGait: An Identity-Consistent Synthetic Human Dataset with Versatile Cloth-Changing for Gait Recognition

arXiv:2604.12221v1 Announce Type: new Abstract: Gait recognition, as a reliable biometric technology, has seen rapid development in recent years while it faces significant challenges caused by diverse

applicationsarxiv-cs-cv

Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving

arXiv:2510.00919v3 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) with foundation models has achieved strong performance across diverse tasks, but their capacity for exper

Bro discuss ChatGPT birth 7 year ago.

This Reddit post from r/ChatGPT appears to be a community discussion reflecting on ChatGPT's origins, likely referencing the fact that OpenAI's foundational work began years before the public launch.

industryr-chatgpt

Applications

Characterizing Human Semantic Navigation in Concept Production as Trajectories in Embedding Space

arXiv:2602.05971v2 Announce Type: replace Abstract: Semantic representations can be framed as a structured, dynamic knowledge space through which humans navigate to retrieve and manipulate meaning. To

applicationsarxiv-cs-cl

ContextLens: Modeling Imperfect Privacy and Safety Context for Legal Compliance

arXiv:2604.12308v1 Announce Type: new Abstract: Individuals' concerns about data privacy and AI safety are highly contextualized and extend beyond sensitive patterns. Addressing these issues requires

safetyarxiv-cs-cl

Continuous Knowledge Metabolism: Generating Scientific Hypotheses from Evolving Literature

arXiv:2604.12243v1 Announce Type: cross Abstract: Scientific hypothesis generation requires tracking how knowledge evolves, not just what is currently known. We introduce Continuous Knowledge Metaboli

Dataset Safety in Autonomous Driving: Requirements, Risks, and Assurance

arXiv:2511.08439v2 Announce Type: replace Abstract: Dataset integrity is fundamental to the safety and reliability of AI systems, especially in autonomous driving. This paper presents a structured fra

Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG

model-releasesarxiv-cs-cl

arXiv:2604.12047v1 Announce Type: new Abstract: PDF files are primarily intended for human reading rather than automated processing. In addition, the heterogeneous content of PDFs, such as text, table

Every Picture Tells a Dangerous Story: Memory-Augmented Multi-Agent Jailbreak Attacks on VLMs

arXiv:2604.12616v1 Announce Type: new Abstract: The rapid evolution of Vision-Language Models (VLMs) has catalyzed unprecedented capabilities in artificial intelligence; however, this continuous modal

Hardware

Fine-Tuning LLMs for Report Summarization: Analysis on Supervised and Unsupervised Data

arXiv:2503.10676v2 Announce Type: replace-cross Abstract: We study the efficacy of fine-tuning Large Language Models (LLMs) for the specific task of report (government archives, news, intelligence rep

hardwarearxiv-cs-ai

From Plan to Action: How Well Do Agents Follow the Plan?

arXiv:2604.12147v1 Announce Type: cross Abstract: Agents aspire to eliminate the need for task-specific prompt crafting through autonomous reason-act-observe loops. Still, they are commonly instructed

Generative Anonymization in Event Streams

model-releasesarxiv-cs-cv

arXiv:2604.12803v1 Announce Type: new Abstract: Neuromorphic vision sensors offer low latency and high dynamic range, but their deployment in public spaces raises severe data protection concerns. Rece

Generative Refinement Networks for Visual Synthesis

model-releasesarxiv-cs-cv

arXiv:2604.13030v1 Announce Type: new Abstract: While diffusion models dominate the field of visual generation, they are computationally inefficient, applying a uniform computational effort regardless

Local Ai

GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization

arXiv:2410.23728v3 Announce Type: replace Abstract: With the increasing quality and spread of LLM assistants, the amount of generated content is growing rapidly. In many cases and tasks, such texts ar

local-aiarxiv-cs-cl

Global smartphone shipments fell 4.1% YoY in Q1, the first decline since 2023, amid a memory chip crunch; Samsung's shipments grew 3.6% and Apple's grew 3.3% (IDC)

IDC: Global smartphone shipments fell 4.1% YoY in Q1, the first decline since 2023, amid a memory chip crunch; Samsung's shipments grew 3.6% and Apple's grew 3.3% — Limited memory supply and record hi

Local Ai

Habitat Classification from Ground-Level Imagery Using Deep Neural Networks

arXiv:2507.04017v3 Announce Type: replace Abstract: Habitat assessment at local scales -- critical for enhancing biodiversity and guiding conservation priorities -- often relies on expert field survey

local-aiarxiv-cs-cv

Hybrid quantum-classical computing gains momentum in Europe

The European Union is taking ambitious steps to coordinate efforts by its member countries to achieve global leadership in quantum computing. The EU Quantum Computing Act, which is scheduled to take e

industrysiliconangle

I spent some time trying to distill all the complex factors impacting open models -- economics, capabilities, distribution, policy, etc. -- …

I spent some time trying to distill all the complex factors impacting open models -- economics, capabilities, distribution, policy, etc. -- into a clear list of beliefs. Here they are in full. 1. It’s

safetyyann-lecun--x

Local Ai

Illustrious Z

local-air-stablediffusion

'Illustrious Z' is a Reddit thread on r/StableDiffusion likely discussing a fine-tuned checkpoint or community variant built upon the Illustrious XL model series — an advanced Stable Diffusion XL-base

Tools

I'm certain this isn't the message they intended to present, but this comes across to me as a company saying 'we no longer trust in our own …

I'm certain this isn't the message they intended to present, but this comes across to me as a company saying 'we no longer trust in our own ability to keep your data secure' Open source is dead. That’

toolssimon-willison--x

INDOTABVQA: A Benchmark for Cross-Lingual Table Understanding in Bahasa Indonesia Documents

arXiv:2604.11970v1 Announce Type: cross Abstract: We introduce INDOTABVQA, a benchmark for evaluating cross-lingual Table Visual Question Answering (VQA) on real-world document images in Bahasa Indone

Is Vibe Coding the Future? An Empirical Assessment of LLM Generated Codes for Construction Safety

arXiv:2604.12311v1 Announce Type: cross Abstract: The emergence of vibe coding, a paradigm where non-technical users instruct Large Language Models (LLMs) to generate executable codes via natural lang

Tutorials

It's Tax Day, and no one knows how to file for prediction market winnings

As of Tax Day 2026, the IRS has issued no formal guidance on how to classify and report prediction market winnings, leaving traders and tax professionals in a grey area where gains could plausibly be

tutorialsars-technica

Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation

arXiv:2604.13010v1 Announce Type: cross Abstract: On-policy distillation (OPD) has emerged as an efficient post-training paradigm for large language models. However, standard OPD requires a live teach

London-based Gizmo, which uses AI to turn young students' notes into gamified study materials, raised a $22M Series A led by Shine Capital and reports 13M users (Natalie Breymeyer/Axios)

Natalie Breymeyer / Axios: London-based Gizmo, which uses AI to turn young students' notes into gamified study materials, raised a 22M Series A led by Shine Capital and reports 13M users — Gizmo, an A

M3D-Stereo: A Multiple-Medium and Multiple-Degradation Dataset for Stereo Image Restoration

model-releasesarxiv-cs-cv

arXiv:2604.12917v1 Announce Type: new Abstract: Image restoration under adverse conditions, such as underwater, haze or fog, and low-light environments, remains a highly challenging problem due to com

OVAL: Open-Vocabulary Augmented Memory Model for Lifelong Object Goal Navigation

arXiv:2604.12872v1 Announce Type: new Abstract: Object Goal Navigation (ObjectNav) refers to an agent navigating to an object in an unseen environment, which is an ability often required in the accomp

agentsarxiv-cs-ro

Perception-Aware Policy Optimization for Multimodal Reasoning

arXiv:2507.06448v5 Announce Type: replace Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has proven to be a highly effective strategy for endowing Large Language Models (LLMs) with ro

safetyarxiv-cs-cl

Tools

@pumfleet @calcom Did you see this piece by @dbreunig? He argues that the cost of locking down software through LLM analysis makes open sour…

@pumfleet @calcom Did you see this piece by @dbreunig? He argues that the cost of locking down software through LLM analysis makes open source MORE valuable now: https://www.dbreunig.com/2026/04/14/cy

toolssimon-willison--x

Red Teaming Large Reasoning Models

arXiv:2512.00412v4 Announce Type: replace-cross Abstract: Large Reasoning Models (LRMs) have emerged as a powerful advancement in multi-step reasoning tasks, offering enhanced transparency and logical