Knowledge catalogue
arXiv:2604.22293v1 Announce Type: cross Abstract: Lookup-table (LUT) based neural networks can deliver ultra-low latency and excellent hardware efficiency on FPGAs by mapping arithmetic operations dir
arXiv:2604.22506v1 Announce Type: new Abstract: Low-Resolution License Plate Recognition (LRLPR) remains a challenging problem in real-world surveillance scenarios, where long capture distances, compr
@idarbek Having your backups on the same vendor as your production database puts you at risk of your vendor banning your account for some reason (like billing messups, or detected CSAM in user-uploade
arXiv:2604.22526v1 Announce Type: new Abstract: Wireless localization of permanent magnets enables occlusion-free guidance for medical interventions, yet its practical accuracy is fundamentally limite
arXiv:2604.22098v1 Announce Type: new Abstract: Time introduces fundamental challenges in model development and deployment: models are usually trained on historical data while deployed on future data
arXiv:2604.22061v1 Announce Type: cross Abstract: Patient-trial matching requires reasoning over long, heterogeneous electronic health records (EHRs) and complex eligibility criteria, posing significa
arXiv:2506.16494v3 Announce Type: replace Abstract: Electrocardiograms (ECGs) provide non-invasive measurements of heart activity and are established tools for detecting cardiac arrhythmias. Although
Last year we introduced new geospatial analytics capabilities integrated for BigQuery. Building on this, we announced an expanded suite of tools at Google Cloud Next ‘26, designed to help your busines
arXiv:2604.22031v1 Announce Type: cross Abstract: We propose Mochi, a Graph Foundation Model that addresses task unification and training efficiency by adopting a meta-learning based training framewor
arXiv:2509.20886v2 Announce Type: replace Abstract: Video sequences often contain structured noise and background artifacts that obscure dynamic content, posing challenges for accurate analysis and re
OpenAI has achieved FedRAMP Moderate authorization, enabling U.S. federal agencies to use OpenAI's services while meeting federal security and compliance requirements. This certification demonstrates
arXiv:2604.22350v1 Announce Type: new Abstract: Monocular visual odometry (VO) is a fundamental computer vision problem with applications in autonomous navigation, augmented reality and more. While de
arXiv:2502.17011v2 Announce Type: replace-cross Abstract: Financial bond yield forecasting is challenging due to data scarcity, nonlinear macroeconomic dependencies, and evolving market conditions. In
Artificial intelligence may be dominating boardroom agendas, but many enterprises are discovering that the biggest obstacle to meaningful adoption is the state of their data. While consumer-facing AI
arXiv:2509.14127v2 Announce Type: replace Abstract: We consider the problem of delivering multiple packages from a single depot to distinct goal locations using a homogeneous fleet of robots with limi
arXiv:2604.22118v1 Announce Type: new Abstract: Optical motion capture (mocap) systems are widely used for ground-truth capture in AR/VR, SLAM and robotics datasets. These datasets require extrinsic c
arXiv:2503.12507v3 Announce Type: replace Abstract: Despite their success, Segment Anything Models (SAMs) experience significant performance drops on severely degraded, low-quality images, limiting th
arXiv:2604.22027v1 Announce Type: cross Abstract: One of the most common complaints about large language models (LLMs) is their prompt sensitivity -- that is, the fact that their ability to perform a
arXiv:2604.22170v1 Announce Type: new Abstract: Recommender Systems~(RS) have been shown to be vulnerable to injective attacks, where attackers inject limited fake user profiles to promote the exposur
The conclusions here feel wrong to me. The two lessons I see are: 1. Don't run agents anywhere they might be able to access production environment credentials - it's on you to know which credentials t
The only way to fully appreciate the jaggedness of the AI frontier is up close. When you use it for a task you know well you find tons of tiny points where AI requires human help. Some are tedious (mo
This paper examines how organizational incentive structures often prioritize quantitative growth and output volume over quality improvements, creating misaligned motivations that can undermine long-te
Tomorrow we go live with @Replit CTO @lhchavez to nerd out on how they approach security at the platform and individual project level. 🔐 If you're a professional vibe coder focused on building softwar
Tune in to Or Dagan on the Life Self Mastery podcast with @rohitmal, unpacking why most enterprise AI projects fail before they ever reach production. You can also catch Or Dagan live at #AIDev26 this
Very cool analysis of the submissions to a major management journal that shows how much the system of science, built for humans, is under strain as a result of AI. AI can be used to do better science
arXiv:2604.22554v1 Announce Type: new Abstract: Transformations produced by image and video generation models often evolve in a highly non-linear manner: long stretches where the content barely change
arXiv:2604.22096v1 Announce Type: cross Abstract: In enterprise fraud detection, model accuracy alone is insufficient when insiders can tamper with audit logs or bypass approval workflows. Real-world
You can look at the history of media through the cost of producing a credible frame. I call this the cost of a frame. Not a good story. Not a good movie. Not a meaningful work of art. Just the frame i
A thing I see missing from AI job debates is that as jobs are disrupted by AI, professions will compete over new boundaries Abbot's System of Professions is a good read on what happens historically. H
Chris Metinko / Axios: Collov Labs, whose visual interface lets users feed images and camera input into a model that AI agents can reason over and act on, raised a 23M Series A — Collov Labs, which tu
How do you think the left redistributes wealth? Violence How do you think the left seizes the means of production? Violence How do you think they censor and surveil opponents? Violence What do you thi
Next up: Hermes Agents on Tuesday in Lisbon 🇵🇹 as we work to make our office the go-to space for AI builders in Portugal, then we have another major one this week. we will this time be joined by the t
Two lessons: 1) Economists are currently very dominant in the discussion over AI and job transformation, but sociology has a lot to add 2) You can kind of create any sort of explainer image you want r
Whether there or more or less jobs, they will certainly change, and professions will compete to gain jurisdiction over valuable ones, in large part through regulation, requiring credentials, and appea
Ashley Capoot / CNBC: An overview of Elon Musk's $134B lawsuit against Sam Altman, scheduled to begin on Monday, accusing Altman of reneging on a vow to keep OpenAI nonprofit — A yearslong legal brawl
Ethan Mollick critiques a discussion about permanent underclass as being 'incredibly toxic,' likely addressing harmful rhetoric or assumptions about socioeconomic stratification in society. The post a
I think that academia has not absorbed the fact that AI agents are now good enough to independently reconstruct complex papers without access to code or the papers themselves; just the methods & data.
'I think that the holodeck is near again minus the hardlight holograms etc. - We’ll be able to have that, with our 3D glasses, with the ocular occlusion and more…” https://x.com/rendernetwork/status/2
LangChain Community Spotlight: Distributed LangGraph Architecture with RemoteGraph 🔗 Production-ready example for distributed LangGraph apps with HTTP-invoked subgraphs. Key insight: RemoteGraph retur
Organizational design for agents is hard, benchmarking agents working in concert is hard. Together, this is the next critical frontier for making AI matter in economically valuable tasks, and we reall
There is also too much focus on two issues in discussions of paper reviewing: hallucinations & privacy. Hallucinations are not gone, but the latest models rarely hallucinate sources (& it is relativel
This is a useful image for thinking about the curve we are on and what likely comes next in an intuitively understandable way. there will this brief era where we can watch our AIs bumble around on the
Wall Street Journal: Trump hosted a gala luncheon for leading $TRUMP holders, where he spoke about his pro-crypto policies, but avoided the memecoin's declining value — The president's address touched
Your personal feelings about the competency of government does not change the fact that government is the only entity (and the only one that can claim to represent the will of the people) that can act
Enterprise AI is shifting from hype to measurable outcomes, with success now depending on seamless integration and balancing automation with the human element. But the gap between a compelling AI demo
arXiv:2604.21363v1 Announce Type: new Abstract: Bridging the gap between embodied intelligence and embedded deployment remains a key challenge in intelligent robotic systems, where perception, reasoni
arXiv:2604.21198v1 Announce Type: new Abstract: Object detection models typically perform well on images captured in controlled environments with stable lighting, water clarity, and viewpoint, but the
arXiv:2604.21310v1 Announce Type: cross Abstract: Deep learning has emerged as a powerful approach for malware detection, demonstrating impressive accuracy across various data representations. However
arXiv:2604.21590v1 Announce Type: new Abstract: Modern industrial applications increasingly demand language models that act as agents, capable of multi-step reasoning and tool use in real-world settin
arXiv:2511.07752v3 Announce Type: replace Abstract: Contextual predictability shapes how we choose and encode words in production. The effects of a word's predictability given preceding or past contex
arXiv:2604.21083v1 Announce Type: cross Abstract: Third-party Large Language Model (LLM) API gateways are rapidly emerging as unified access points to models offered by multiple vendors. However, the
Reuters: Brazil's Finance Minister Dario Durigan says the country has blocked prediction market platforms and tightened derivatives rules to curb “bet-like” products — Brazil has blocked prediction ma
arXiv:2601.17747v2 Announce Type: replace Abstract: Change detection (CD) aims to identify surface changes from multi-temporal remote sensing imagery. In real-world scenarios, Pixel-level change label
arXiv:2510.15313v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly applied to creative domains, yet their performance in classical Chinese poetry generation and evaluati
arXiv:2604.21462v1 Announce Type: new Abstract: In this paper, we consider the problem of conditional anomaly detection that aims to identify data instances with an unusual response or a class label.
arXiv:2604.21380v1 Announce Type: cross Abstract: Since software performance requirements are documented in natural language, quantifying them into mathematical forms is essential for software enginee
arXiv:2604.21469v1 Announce Type: new Abstract: Automating the detection of regulatory compliance remains a challenging task due to the complexity and variability of legal texts. Models trained on one
Tesla's Cybercab autonomous taxi has entered production phase, according to an announcement by Elon Musk on X. The Cybercab is Tesla's purpose-built autonomous vehicle designed to operate without a st
arXiv:2604.21421v1 Announce Type: cross Abstract: Protecting patient privacy in clinical narratives is essential for enabling secondary use of healthcare data under regulations such as GDPR and HIPAA.
arXiv:2604.21187v1 Announce Type: cross Abstract: Ramsey-good graphs are graphs that contain neither a clique of size s nor an independent set of size t. We study doubly saturated Ramsey-good graphs,