All entries

AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot

model-releasesarxiv-cs-ai

arXiv:2604.13940v1 Announce Type: new Abstract: Scientific peer review faces mounting strain as submission volumes surge, making it increasingly difficult to sustain review quality, consistency, and t

Content type

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AI chip developer Cerebras Systems files to go public amid rapid revenue growth

DGX agent

Cerebras Systems Inc., the developer of the wafer-size WSE-3 artificial intelligence chip, today filed to go public. The move comes about 18 months after the company’s first attempt to list its shares

industrysiliconangle

17 Apr 2026

AI Mode in Chrome adds split-screen view to enhance the web search experience

Google LLC today rolled out a major revamp of AI Mode in Google Chrome, giving users a more efficient way to explore the web through its conversational search experience. The most impactful update is

industrysiliconangle

Hardware

AI + quantum, Amazon vs. Starlink and the wide-open US-China internet battle

Quantum computing keeps gaining momentum even though practically it’s years away from wide commercialization, and World Quantum Day April 14 provided an excuse for a lot of announcements. Among them:

hardwaresiliconangle

AIM: Asymmetric Information Masking for Visual Question Answering Continual Learning

arXiv:2604.14779v1 Announce Type: cross Abstract: In continual visual question answering (VQA), existing Continual Learning (CL) methods are mostly built for symmetric, unimodal architectures. However

researcharxiv-cs-cl

[AINews] Anthropic Claude Opus 4.7 - literally one step better than 4.6 in every dimension

model-releaseslatent-space

This article from Latent Space discusses Anthropic's Claude Opus 4.7 release, highlighting incremental improvements across multiple performance dimensions compared to the previous 4.6 version. The pie

AIPC: Agent-Based Automation for AI Model Deployment with Qualcomm AI Runtime

arXiv:2604.14661v1 Announce Type: cross Abstract: Edge AI model deployment is a multi-stage engineering process involving model conversion, operator compatibility handling, quantization calibration, r

local-aiarxiv-cs-lg

Tutorials

All Changes May Have Invariant Principles: Improving Ever-Shifting Harmful Meme Detection via Design Concept Reproduction

arXiv:2601.04567v2 Announce Type: replace Abstract: Harmful memes are ever-shifting in the Internet communities, which are difficult to analyze due to their type-shifting and temporal-evolving nature.

tutorialsarxiv-cs-cv

All discount codes have been redeemed, the above code is no longer valid.

This post from Nous Research indicates that a promotional discount code being referenced has reached its redemption limit and is no longer active. The message notifies users that all available uses of

researchnous-research--x

AlphaCNOT: Learning CNOT Minimization with Model-Based Planning

arXiv:2604.13812v1 Announce Type: new Abstract: Quantum circuit optimization is a central task in Quantum Computing, as current Noisy Intermediate Scale Quantum devices suffer from error propagation t

researcharxiv-cs-ai

AMA: Adaptive Memory via Multi-Agent Collaboration

arXiv:2601.20352v3 Announce Type: replace Abstract: The rapid evolution of Large Language Model (LLM) agents has necessitated robust memory systems to support cohesive long-term interaction and comple

agentsarxiv-cs-ai

Tutorials

@AmandaAskell are you the person to thank for this?

tutorialsjeremy-howard--x

Amanda Askell is likely a researcher or professional involved in AI safety or alignment work, and Jeremy Howard is publicly crediting or thanking her for a contribution or achievement on social media.

Amazon won’t release Fire Sticks that support sideloading anymore

Amazon is restricting consumer access

industryars-technica

Amortized Optimal Transport from Sliced Potentials

arXiv:2604.15114v1 Announce Type: cross Abstract: We propose a novel amortized optimization method for predicting optimal transport (OT) plans across multiple pairs of measures by leveraging Kantorovi

Applications

An Active Perception Game for Robust Exploration

arXiv:2404.00769v5 Announce Type: replace Abstract: Active perception approaches select future viewpoints by using some estimate of the information gain. An inaccurate estimate can be detrimental in c

applicationsarxiv-cs-ro

An Analysis of Regularization and Fokker-Planck Residuals in Diffusion Models for Image Generation

arXiv:2604.15171v1 Announce Type: new Abstract: Recent work has shown that diffusion models trained with the denoising score matching (DSM) objective often violate the Fokker--Planck (FP) equation tha

researcharxiv-cs-cv

An Intelligent Robotic and Bio-Digestor Framework for Smart Waste Management

arXiv:2604.14882v1 Announce Type: cross Abstract: Rapid urbanization and continuous population growth have made municipal solid waste management increasingly challenging. These challenges highlight th

agentsarxiv-cs-lg

Applications

An Underexplored Frontier: Large Language Models for Rare Disease Patient Education and Communication -- A scoping review

arXiv:2604.14179v1 Announce Type: new Abstract: Rare diseases affect over 300 million people worldwide and are characterized by complex care pathways, limited clinical expertise, and substantial unmet

applicationsarxiv-cs-cl

Safety

An unsupervised decision-support framework for multivariate biomarker analysis in athlete monitoring

arXiv:2604.14534v1 Announce Type: new Abstract: Purpose. Athlete monitoring is constrained by small cohorts, heterogeneous biomarker scales, limited feasibility of repeated sampling, and the lack of r

safetyarxiv-cs-lg

And the Winner Is... | Agent 4 Buildathon Finale https://x.com/i/broadcasts/1nGnRYzQlWLGO

This broadcast covered the finale of the Agent 4 Buildathon hosted by Replit, announcing the winner(s) of the competition. The event likely showcased finalist projects and celebrated the achievements

agentsreplit--x

Applications

Animating Petascale Time-varying Data on Commodity Hardware with LLM-assisted Scripting

arXiv:2603.07053v2 Announce Type: replace Abstract: Scientists face significant visualization challenges as time-varying datasets grow in speed and volume, often requiring specialized infrastructure a

applicationsarxiv-cs-ai

AnimationBench: Are Video Models Good at Character-Centric Animation?

model-releasesarxiv-cs-cv

arXiv:2604.15299v1 Announce Type: new Abstract: Video generation has advanced rapidly, with recent methods producing increasingly convincing animated results. However, existing benchmarks-largely desi

Anomaly Detection in IEC-61850 GOOSE Networks: Evaluating Unsupervised and Temporal Learning for Real-Time Intrusion Detection

arXiv:2604.14233v1 Announce Type: cross Abstract: The IEC-61850 GOOSE protocol underpins time-critical communication in modern digital substations but lacks native security mechanisms, leaving it vuln

Anonpsy: A Graph-Based Framework for Structure-Preserving De-identification of Psychiatric Narratives

model-releasesarxiv-cs-cl

arXiv:2601.13503v2 Announce Type: replace Abstract: Psychiatric narratives encode patient identity not only through explicit identifiers but also through idiosyncratic life events embedded in their cl

Anthropic launches Claude Design to speed up graphic design projects

model-releasessiliconangle

The latest addition to Anthropic PBC’s product portfolio is Claude Design, a tool that enables users to generate visual assets with prompts. The company launched the offering into public preview today

Anthropic’s new cybersecurity model could get it back in the government’s good graces

model-releasesthe-verge-ai

The Trump administration has spent nearly two months fighting with AI company Anthropic. It's dubbed the company a 'RADICAL LEFT, WOKE COMPANY' full of 'Leftwing nut jobs' and a menace to national sec

APEX-MEM: Agentic Semi-Structured Memory with Temporal Reasoning for Long-Term Conversational AI

arXiv:2604.14362v1 Announce Type: new Abstract: Large language models still struggle with reliable long-term conversational memory: simply enlarging context windows or applying naive retrieval often i

agentsarxiv-cs-cl

Applying an Agentic Coding Tool for Improving Published Algorithm Implementations

model-releasesarxiv-cs-ai

arXiv:2604.13109v1 Announce Type: cross Abstract: We present a two-stage pipeline for AI-assisted improvement of published algorithm implementations. In the first stage, a large language model with re

Arrow — local SAM contract CSV + SQLite; optional Ollama for JSON “why fit” & summarize (format: json)

Based on the Reddit post title, Arrow appears to be a tool for processing SAM (Supplier Agreement Management) contracts stored in CSV and SQLite formats, with optional integration of Ollama to generat

local-air-ollama

ArrowGEV: Grounding Events in Video via Learning the Arrow of Time

arXiv:2601.06559v2 Announce Type: replace Abstract: Grounding events in videos serves as a fundamental capability in video analysis. While Vision Language Models (VLMs) are increasingly employed for t

researcharxiv-cs-cv

Artemis II pilot talks about what it was really like to fly and land in Orion

Artemis II pilot Victor Glover described reentry as dramatically intense and 'at least 10 times wilder' than a rocket launch, calling it the most phenomenal part of spaceflight. Commander Reid Wiseman

industryars-technica

ASGNet: Adaptive Spectrum Guidance Network for Automatic Polyp Segmentation

arXiv:2604.14755v1 Announce Type: new Abstract: Early identification and removal of polyps can reduce the risk of developing colorectal cancer. However, the diverse morphologies, complex backgrounds a

researcharxiv-cs-cv

Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting

arXiv:2604.14739v1 Announce Type: new Abstract: Large-scale renewable energy deployment introduces pronounced volatility into the electricity system, turning grid operation into a complex stochastic o

Assessing the Potential of Masked Autoencoder Foundation Models in Predicting Downhole Metrics from Surface Drilling Data

arXiv:2604.15169v1 Announce Type: new Abstract: Oil and gas drilling operations generate extensive time-series data from surface sensors, yet accurate real-time prediction of critical downhole metrics

Assessment Design in the AI Era: A Method for Identifying Items Functioning Differentially for Humans and Chatbots

model-releasesarxiv-cs-ai

arXiv:2603.23682v2 Announce Type: replace-cross Abstract: The rapid adoption of large language models (LLMs) in education raises profound challenges for assessment design. To adapt assessments to the

Asynchronous Probability Ensembling for Federated Disaster Detection

arXiv:2604.14450v1 Announce Type: new Abstract: Quick and accurate emergency handling in Disaster Decision Support Systems (DDSS) is often hampered by network latency and suboptimal application accura

Hardware

At SemiAnalysis, we're quite tired of the minimalist style webapps and landing pages that have become so commonplace lately. Today, we're in…

At SemiAnalysis, we're quite tired of the minimalist style webapps and landing pages that have become so commonplace lately. Today, we're introducing Minecraft mode on inferencex dot com so that you c

hardwaredylan-patel--x

Atropos: Improving Cost-Benefit Trade-off of LLM-based Agents under Self-Consistency with Early Termination and Model Hotswap

arXiv:2604.15075v1 Announce Type: cross Abstract: Open-weight Small Language Models(SLMs) can provide faster local inference at lower financial cost, but may not achieve the same performance level as

local-aiarxiv-cs-lg

Attention-Gated Convolutional Networks for Scanner-Agnostic Quality Assessment

arXiv:2604.15059v1 Announce Type: new Abstract: Motion artifacts present a significant challenge in structural MRI (sMRI), often compromising clinical diagnostics and large-scale automated analysis. W

local-aiarxiv-cs-cv

Tutorials

Attention to Mamba: A Recipe for Cross-Architecture Distillation

arXiv:2604.14191v1 Announce Type: new Abstract: State Space Models (SSMs) such as Mamba have become a popular alternative to Transformer models, due to their reduced memory consumption and higher thro

tutorialsarxiv-cs-cl

Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models

arXiv:2508.15396v2 Announce Type: replace Abstract: The increasing adoption of large language models (LLMs) has raised serious concerns about their reliability and trustworthiness. As a result, a grow

researcharxiv-cs-cl

AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models

model-releasesarxiv-cs-lg

arXiv:2505.10846v3 Announce Type: replace Abstract: This paper presents AutoRAN, the first framework to automate the hijacking of internal safety reasoning in large reasoning models (LRMs). At its cor

Auxiliary Finite-Difference Residual-Gradient Regularization for PINNs

model-releasesarxiv-cs-lg

arXiv:2604.14472v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) are often selected by a single scalar loss even when the quantity of interest is more specific. We study a hybr

Awakening Dormant Experts:Counterfactual Routing to Mitigate MoE Hallucinations

arXiv:2604.14246v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) models have achieved remarkable scalability, yet they remain vulnerable to hallucinations, particularly when processing

b8821

Release b8821 of llama.cpp includes improvements to the server component, allowing pinning of media markers via the LLAMA_MEDIA_MARKER environment variable and making the get_media_marker() function t

b8822

b8822 is a release of llama.cpp that adds q5_K gemm and gemv kernels for Adreno GPUs . The release includes builds for multiple platforms including macOS, Linux, Windows, iOS, and openEuler distributi

b8823

b8823 is a build release of llama.cpp, the C/C++ implementation for LLM inference that enables efficient language model execution locally and in the cloud. Based on the rapid development cycle of the

b8824

b8824 is a llama.cpp release that optimizes HMX matmul operations, including refactoring functions to use size_t for tile counts and improving readability of core matrix multiplication routines. Relea