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arXiv:2604.25860v1 Announce Type: new Abstract: Machine-generated text (MGT) detection requires identifying structurally invariant signals across generation models, rather than relying on model-specif

arXiv:2604.25122v1 Announce Type: new Abstract: We present M^3-VQA, a novel knowledge-based Visual Question Answering (VQA) benchmark, to enhance the evaluation of multimodal large language models (ML

.@MadrigalPharma is living in the (agentic) future. If you haven't heard of Madrigal, they are a pioneering biopharma company. Some months ago, they set out to solve the problem of integrating, search

.@MadrigalPharma’s multi-agent research and intelligence platform for pharma is powered by LangChain + LangSmith. When users ask research questions, the orchestrator breaks them into sub-tasks. Multip

arXiv:2604.25817v1 Announce Type: new Abstract: Magnification shift is a major obstacle to robust histopathology classification, because models trained on one imaging scale often generalize poorly to

arXiv:2604.25806v1 Announce Type: new Abstract: Creating interactive STEM courseware traditionally requires HTML/CSS/JavaScript expertise, leaving barriers for educators. While generative AI can produ

arXiv:2604.25200v1 Announce Type: cross Abstract: Public agencies are beginning to consider large language models (LLMs) as decision-support tools for grant evaluation. This creates a practical govern

arXiv:2604.25578v1 Announce Type: new Abstract: We present Marco-MoE, a suite of fully open multilingual sparse Mixture-of-Experts (MoE) models. Marco-MoE features a highly sparse design in which only

Jason Gale / Bloomberg: Mayo Clinic researchers detail an AI system called Redmod that identified pancreatic cancer on routine CT scans an average of 475 days before clinical diagnosis — An artificial

Thoth, a local-first desktop AI assistant, now supports Model Context Protocol (MCP) tools, allowing users to run it fully locally with Ollama or integrate frontier APIs as needed. The application pri

arXiv:2604.25765v1 Announce Type: new Abstract: The quality of training data is critical to the performance of machine learning models. In this paper, the Error Sensitivity Profile (ESP) is proposed.

arXiv:2508.03941v3 Announce Type: replace-cross Abstract: The typical offline protocol to evaluate recommendation algorithms is to collect a dataset of user-item interactions and then use a part of th

Riley Griffin / Bloomberg: Meta raises its 2026 capex to between 125B and 145B, exceeding analysts' estimates, after previously forecasting 115B to 135B; META drops 6%+ after hours — Meta Shares Plung

Jonathan Vanian / CNBC: Meta reports Reality Labs Q1 revenue of 402M, vs. 488.8M est., and a 4.03B operating loss, vs. 4.82B est.; Reality Labs has $80B+ in losses since late 2020 — As Meta pumps incr

Jonathan Vanian / CNBC: Meta says Q1 family daily active people fell 20M QoQ to 3.56B, vs. 3.62B est., due to internet disruptions in Iran and WhatsApp access restrictions in Russia — Meta shares fell

Meta Platforms Inc. ‘s shares fell more than 6% in after-hours trading today after the social networking company reported strong beats in revenue and earnings in its fiscal 2026 first quarter but rais

arXiv:2511.20496v3 Announce Type: replace Abstract: Accurate state estimation for flexible robotic systems poses significant challenges, particularly for platforms with dynamically deforming structure

arXiv:2601.21225v2 Announce Type: replace Abstract: Large language models have made substantial progress in mathematical reasoning. However, benchmark development for multilingual evaluation has lagge

arXiv:2604.25152v1 Announce Type: cross Abstract: We present MGTEVAL, an extensible platform for systematic evaluation of Machine-Generated Text (MGT) detectors. Despite rapid progress in MGT detectio

arXiv:2512.07348v2 Announce Type: replace Abstract: In controllable image generation, synthesizing coherent and consistent images from multiple reference inputs, i.e., Multi-Image Composition (MICo),

Emma Roth / The Verge: Microsoft reports Q3 Xbox hardware revenue fell 33% YoY and Xbox content and services revenue, which includes Game Pass, dropped 5% YoY — Xbox hardware revenue took a 33 percent

Jordan Novet / CNBC: Microsoft's Q3 Intelligent Cloud revenue was 34.68B vs. 34.27B est., with Azure and other cloud services surging 40% YoY; Microsoft 365 Copilot has 20M+ seats — Microsoft issued h

arXiv:2511.16518v2 Announce Type: replace-cross Abstract: We open-source MiMo-Embodied, the first cross-embodied foundation model to successfully integrate and achieve state-of-the-art performance in

MiMo-V2.5 is Xiaomi's multimodal AI model with native visual and audio understanding that supports up to 1 million tokens of context. The GGUF format refers to quantized versions of the model optimize

arXiv:2604.24805v1 Announce Type: new Abstract: Modern machine learning optimizes for accuracy without explicitly accounting for internal computational cost, even though physical and biological system

arXiv:2603.19874v3 Announce Type: replace-cross Abstract: Loss functions play a central role in supervised classification. Cross-entropy (CE) is widely used, whereas the mean absolute error (MAE) loss

Misleading indeed. 🚨 OpenAI's lawyer William Savitt just attacked Musk on cross-examination: 'you pledged 1 billion, only delivered 38 million.' That's misleading. The $1B was a COLLECTIVE pledge from

arXiv:2510.22102v2 Announce Type: replace-cross Abstract: While Multimodal Large Language Models (MLLMs) excel at general vision-language tasks, precise coordinate prediction remains a significant cha

arXiv:2512.17492v2 Announce Type: replace Abstract: Geo-spatial analysis of our world benefits from a multimodal approach, as every single geographic location can be described in numerous ways (images

arXiv:2603.15954v2 Announce Type: replace Abstract: Real-time AI experiences call for on-device large language models (OD-LLMs) optimized for efficient deployment on resource-constrained hardware. The

Model-Harness-Task fit is very real. The world's best agents carefully tailor the harness around the model to take advantage of each model's unique intelligence & capabilities 🧠 Today we released Harn

arXiv:2604.25674v1 Announce Type: new Abstract: Modeling the emergence of human-like lexicons in computational systems has advanced through the use of interacting neural agents, which simulate both le

arXiv:2411.14721v2 Announce Type: replace Abstract: Molecule discovery is a pivotal research field, impacting everything from medicine to materials. Recently, Large Language Models (LLMs) have been wi

arXiv:2604.24880v1 Announce Type: cross Abstract: This study proposes an anomaly-detection framework for monitoring exposure-length variations in submarine free-span cables using Distributed Acoustic

Replit announced details about app monitoring capabilities, likely covering tools and features for developers to track application performance, health, and behavior in real-time on the Replit platform

Most pharma agent pilots never make it to production. We’re partnering with @Axtria to close this gap. Built on LangSmith, Axtria’s pharma-native AgentOps framework will give life sciences enterprises

arXiv:2604.24833v1 Announce Type: cross Abstract: Despite transformative advances in generative motion synthesis, real-time interactive motion control remains dominated by traditional techniques. In t

Motorola announced its 2026 Razr lineup featuring familiar designs with price increases across all models. The lineup received battery upgrades, with the base Razr gaining a 4,800mAh cell, the Razr+ r

Chris Welch / Bloomberg: Motorola unveils its 2026 foldables lineup, including its first book-style model, which costs 1,900; prices for clamshell models have gone up by up to 200 — The company's clam

arXiv:2602.05330v2 Announce Type: replace Abstract: Comprehensive panoramic scene understanding is critical for immersive applications, yet it remains challenging due to the scarcity of high-resolutio

arXiv:2602.04872v2 Announce Type: replace-cross Abstract: Recent progress has rapidly advanced our understanding of the mechanisms underlying in-context learning in modern attention-based neural netwo

arXiv:2412.07584v2 Announce Type: replace Abstract: Current video retrieval systems, especially those used in competitions, primarily focus on querying individual keyframes or images rather than encod

Angel Au-Yeung / Wall Street Journal: Musk v. Altman: Elon Musk says he was a “fool” for backing OpenAI, accusing Altman and Brockman of manipulating him into donating tens of millions of dollars — Bi

arXiv:2604.25819v1 Announce Type: new Abstract: In this work, we propose Mutual Forcing, a framework for fast autoregressive audio-video generation with long-horizon audio-video synchronization. Our a

arXiv:2508.18090v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have demonstrated remarkable versatility across a wide range of natural language processing tasks and domains. On

Narrative Economies & Co-Creation Platforms Stories evolve from static content into living systems co-created with audiences. Users don’t just consume IP, they shape it, own parts of it, and participa