Knowledge catalogue
arXiv:2605.22751v1 Announce Type: new Abstract: As generative image models evolve rapidly, the perceptual gap between generated and real images continues to narrow, making AI-generated image detection
'Strawberry' was OpenAI's internal code word for the extended reasoning capabilities featured in the o1-preview model, which enables the AI to work through complex problems with longer chains of thoug
arXiv:2605.22639v1 Announce Type: new Abstract: Robots exhibit a rich variety of symmetries arising from their mechanical structure and the properties of their tasks. Although many robotics problems e
arXiv:2605.22767v1 Announce Type: new Abstract: Children with rare genetic diseases often exhibit distinctive facial phenotypes, yet developing computer vision systems for early diagnosis remains chal
The memory shortage is causing a repricing of consumer electronics David Oks provides the clearest explanation I've seen yet of why consumer products that use memory are likely to get significantly mo
David Holz posted a query on X asking his followers to identify which of his mutual connections are involved in video production work—including movies, documentaries, podcasts, or social media content
1/ At @LangChain’s Interrupt conference last week, one question kept coming up: What happens when AI agents need to spend money? Enterprise agents have moved from prototype to production, but payments
arXiv:2605.21313v1 Announce Type: new Abstract: Deep neural networks have achieved impressive performance on a variety of tasks, but their brittleness to distributional shifts remains a significant ba
AdventHealth has partnered with OpenAI to enhance its whole-person care approach, likely implementing AI technologies to improve patient outcomes across clinical, behavioral, and spiritual dimensions
Enterprise AI governance is becoming increasingly important as organizations race toward ROI, demanding AI systems that are scalable, predictable and built to deliver measurable business outcomes. Wit
AI adoption is maturing past the pilot phase, but organizations that treat the transition as a single-gear shift risk stalling before they reach production. The real challenge is navigating multi-spee
Sherry Qin / Wall Street Journal: AMD pledges to invest $10B+ in Taiwan's chip industry to make advanced chip packaging for AI, and says TSMC will ramp up production of its next-gen Venice chips — The
Preeti Singh / Bloomberg: Anthropic, Blackstone, and Hellman & Friedman's unnamed enterprise services JV buys Fractional AI, its first deal; sources say Fractional ends its OpenAI deal — The new artif
arXiv:2508.16453v2 Announce Type: replace-cross Abstract: Distrust of public serving institutions and anti-establishment views are on the rise (especially in the U.S.). As people turn to social media
arXiv:2605.20684v1 Announce Type: new Abstract: Corporate credit underwriting requires analysts to extract actionable evidence from long, heterogeneous financial documents spanning hundreds of pages a
arXiv:2605.20269v1 Announce Type: new Abstract: Many bandit deployments (recommendation, clinical dosing, ad targeting) share two facts prior work handles only in isolation: rewards live on a low-dime
arXiv:2602.04907v2 Announce Type: replace Abstract: Causal discovery is a data-driven paradigm for analyzing complex systems, while physics-based models, such as ordinary differential equations (ODEs)
arXiv:2605.21143v1 Announce Type: cross Abstract: A soundscape is composed of three types of sound: biophony (sounds made by animals), geophony (natural abiotic sounds) and anthropophony (sounds made
arXiv:2605.21157v1 Announce Type: new Abstract: In modern warfare, drones are becoming an essential part of intelligence gathering and carrying out precise attacks in different kinds of hostile enviro
arXiv:2605.21041v1 Announce Type: cross Abstract: Gaussian processes (GPs) offer a principled probabilistic model over functions, but exact inference is restricted to the linear-Gaussian regime. We es
arXiv:2605.06395v2 Announce Type: replace Abstract: Modern deep learning architectures increasingly contend with sophisticated signals that are natively infinite-dimensional, such as time series, prob
Qwen3.7-Max is an advanced AI model designed to function as a virtual coworker that enhances real-world productivity tasks. The model likely leverages Alibaba's Qwen technology to assist with work-rel
Demand so high that we automated sales - get started instantly with Replit Enterprise now - https://replit.com/enterprise Replit Enterprise is now self-serve! In minutes you can: - Buy Replit Enterpri
Devin also now works with Windows-native toolchains: MSBuild, IIS, PowerShell, SQL Server, and more. It works inside the environment these systems actually depend on. Devin for Windows carries enterpr
arXiv:2605.21241v1 Announce Type: new Abstract: Self-supervised learning for time-series representation aims to reduce reliance on labeled data while maintaining strong downstream performance, yet man
Estimates of power usage here: https://arxiv.org/pdf/2509.20241 (these numbers also match independent assessments) Estimates of water usage here: https://eta-publications.lbl.gov/sites/default/files/2
arXiv:2605.20920v1 Announce Type: new Abstract: Recent advances in machine learning and the availability of articulatory datasets allow vocal tract synthesis to be conditioned on phonetic sequences, a
Everyone on earth will get really good chatbots for free, so thats good for democratization of AI, but really good agents that can do complex work burn thousands of times more tokens, and will be rese
arXiv:2605.20787v1 Announce Type: new Abstract: The rapid advancements in generative AI technologies, such as Stable Diffusion, DALL-E, and Midjourney, have significantly transformed the creation of s
arXiv:2605.20892v1 Announce Type: new Abstract: Fine-grained fruit classification is a critical yet challenging task in agricultural computer vision, primarily hindered by a severe shortage of high-qu
arXiv:2605.21435v1 Announce Type: new Abstract: Graph Neural Networks (GNNs) have become the de facto standard for learning on relational data. While traditional GNNs' message passing is well suited f
arXiv:2605.20752v1 Announce Type: new Abstract: Vision-language-action (VLA) policies have advanced language-conditioned robotic manipulation by transferring semantic priors from pretrained vision-lan
George Blankenship got really emotional telling the story of early Tesla And it shows why Tesla’s survival story is one of the wildest in startup history The Model S wasn’t just another car. It was Te
arXiv:2605.21076v1 Announce Type: new Abstract: Grading German legal exam solutions faces growing volumes and a shortage of qualified graders, delaying feedback and creating a bottleneck. At the same
arXiv:2602.03004v2 Announce Type: replace Abstract: To improve the reliability and interpretability of industrial process monitoring, this article proposes a Causal Graph Spatial-Temporal Autoencoder
arXiv:2605.21247v1 Announce Type: new Abstract: Graph Neural Networks (GNNs) have emerged as a cornerstone of deep learning, with most existing methods rooted in graph signal processing and diffusion
arXiv:2605.20725v1 Announce Type: new Abstract: Learning with noisy labels in multimedia classification often combines external annotations and model predictions into a single reliability weight, even
Most people don’t read their insurance pamphlet. The benefits are there: deductibles, copays, in-network providers, what dental covers, what dermatology covers, when an optometry visit is included in
arXiv:2605.21363v1 Announce Type: new Abstract: As large language models (LLMs) increasingly shape how users form, refine, and extend their goals, attributing contributions in human-AI collaboration b
i think this stack has won the localfirst battle btw. maybe more chapters to this story but i think this is it if you are building fast apps fast Excited to release a new starter! Sync-first, producti
In science, AI still does a poor job at finding interesting questions to solve in fields that don't have lists of known issues This has always been the hardest thing to teach PhDs: otherwise you find
Individual use is small, but at aggregate scale, resource usage is higher. By 2030, AI may use as much electricity as Japan. Water use will remain less than 1% of total US water use in 2030, but that
arXiv:2603.15842v2 Announce Type: replace Abstract: Modern machine learning systems increasingly rely on sensitive data, creating significant privacy, security, and regulatory risks that existing priv
arXiv:2605.20799v1 Announce Type: cross Abstract: We present Overall FLOP Utilization (OFU), a hardware-level, precision-agnostic GPU efficiency metric for AI workloads on HPC systems, derived from tw
Many healthcare organizations report that traditional worklist systems rely on rigid rules that ignore critical context, radiologist specialization, current workload, fatigue levels, and case complexi
arXiv:2512.08013v2 Announce Type: replace-cross Abstract: Reliable optimal control is challenging when the dynamics of a nonlinear system are unknown and only infrequent, noisy output measurements are
arXiv:2605.20436v1 Announce Type: new Abstract: Foundation models like the Segment Anything Model (SAM) demonstrate impressive zero-shot generalization but frequently degrade under diverse real-world
Even as AI rewrites the rules across industries, healthcare is still confronting a half-century of diagnostic stasis — but a new generation of companies is betting that advances in AI and 3D medical i
Math is easy* because it has verifiable outputs and few messy judgement choices to make. Which AI labs have the guts to make advancing social science a priority? It may actually do more for human flou
arXiv:2509.08010v2 Announce Type: replace-cross Abstract: Large language models (LLMs) distinguish themselves from previous technologies by functioning as collaborative ``thought partners,'' capable o
arXiv:2605.20431v1 Announce Type: cross Abstract: Missing significant amounts of school during K-12 education is known to put students' cognitive and social development at risk. Alternatives such as h
arXiv:2507.09180v4 Announce Type: replace Abstract: Depth information is robust to scene appearance variations and inherently carries 3D spatial details. Thus, a visual backbone based on the vision tr
The recently announced artificial intelligence-native enterprise services firm backed by Anthropic PBC, Blackstone Inc. and Hellman & Friedman LLC has acquired Fractional AI Inc., a San Francisco-base
arXiv:2605.20515v1 Announce Type: new Abstract: Modern artificial intelligence systems require calibrated uncertainty estimates that remain reliable in sequential and non-stationary environments. Onli
Parasocial was Cambridge Dictionary’s word of the year in 2025. And with good reason. AI chatbots interact with us “as if” they were human. With @LennartMeincke, @danshapiro, @emollick, Lilach M., Chr
arXiv:2605.21053v1 Announce Type: new Abstract: Addressing the global caregiver shortage through socially assistive robots necessitates a deep understanding of their psychological and physiological im
arXiv:2603.23890v2 Announce Type: replace-cross Abstract: As the modern microservice architecture for cloud applications grows in popularity, cloud services are becoming increasingly complex and more
arXiv:2605.21300v1 Announce Type: new Abstract: Object hallucination is a significant challenge that hinders the application of large vision-language models (LVLMs) in practice. We hypothesize that on
Replit Enterprise is now available as a self-serve offering, allowing teams to quickly purchase the service, configure Single Sign-On (SSO) and SCIM provisioning, and begin collaborative development w
Many development teams are familiar with the hesitation that comes right before pushing a new feature live. As AI helps developers write code faster, the gap between rapid code generation and safe pro