Knowledge catalogue
This Databricks article discusses the gap between the readiness of AI agent technology and the organizational and technical architectures needed to deploy them effectively. It likely addresses infrast
AI Agent Compliance & Governance Layer Autonomous compliance agents evolve from tools into always-on governance infrastructure. As regulation accelerates (AI, ESG, cross-border data, tax), the bottlen
AI-Enabled Wellbeing & Social Fabric Systems Mental health expands into broader “life infrastructure” where AI connects people to communities, support systems, and purpose-driven activity. Instead of
As AI models grow larger and more capable, the computational cost and time required to evaluate them has become a significant limiting factor in development, potentially surpassing training compute as
Yohei Nakajima discusses the rapid pace of AI development and the challenge of determining what applications are worth building in this accelerating landscape. The post likely explores the opportuniti
Generative AI is rapidly reshaping how organizations operate, shifting the focus from standalone tools to integrated digital workforces. As adoption accelerates, AI leaders must now balance speed with
AI-Powered Co-Creation Studios Consumers become co-builders of products, not just buyers. AI translates intent into production, collapsing the gap between idea and execution. This drives hyper-persona
AI-Residual Economies (Data → Income) Users begin to expect compensation for their contribution to AI systems, not just free usage. These platforms track, attribute, and pay micro-royalties when user
Brock E.W. Turner / Axios: Aidoc, which provides AI medical imaging software to flag incidental findings on CT scans and X-rays, raised a 150M Series E, taking its total funding to 520M — Aidoc, a cli
arXiv:2410.24116v3 Announce Type: replace Abstract: Image labeling is a critical bottleneck in the development of computer vision technologies, often constraining machine learning performance due to t
This post discusses how AIE (likely an AI system or framework) has evolved to be primarily operated by autonomous agents rather than direct human control. The tweet links to additional unreleased disc
This Latent Space newsletter entry likely provides a curated summary of AI industry news and developments from a particular day, despite the self-deprecating title suggesting limited major announcemen
arXiv:2602.23069v2 Announce Type: replace Abstract: Point cloud video understanding is critical for robotics as it accurately encodes motion and scene interaction. We recognize that 4D datasets are fa
The Musk v. Altman trial is underway, and that means exhibits, or the evidence to be presented in court, are being revealed piece by piece. So far, email exchanges, photos, and corporate documents are
Alphabet: Alphabet reports Q1 revenue up 22% YoY to 109.9B, vs. 107.2B est., and Google Cloud revenue up 63% to 20B, vs. 18.05B est.; GOOG jumps 6%+ after hours — Alphabet Announces First Quarter 2026
Todd Spangler / Variety: Alphabet reports YouTube's Q1 ad revenue rose 10.7% YoY to 9.88B, vs. 9.99B est., and Google's ad revenue reached 77.25B, up from 66.89B in Q1 2025 — Time spent viewing on You
A Reddit discussion from r/ChatGPT in which a user expresses their continued preference for ChatGPT while also using Claude, likely exploring whether other users share similar sentiments about ChatGPT
Annie Palmer / CNBC: Amazon reports Q1 ad revenue up 24% YoY to 17.24B, vs. 16.87B est., and subscription services revenue up 15% to $13.43B — Amazon on Wednesday posted better-than-expected earnings
Ambient diffusion was a really cool paper in this space. Given corrupted data, corrupt even further, such that the model can’t infer what was genuine corruption vs synthetically added. In expectation
arXiv:2604.24906v1 Announce Type: cross Abstract: Robotic fruit harvesting often fails to reliably detect whether a fruit has been successfully picked, limiting efficiency and increasing crop damage.
An installation powered by our new TouchDesigner skill for Hermes Agent will be on display at the @AIPSummit IN NYC tomorrow BTS from @AIPSummit: I'll be showcasing @1null1's TouchDesigner x @NousRese
arXiv:2604.25456v1 Announce Type: new Abstract: We investigate linguistic biases in LLM-based restaurant and product recommendations given prompts varying across Southern American English (AE), Indian
arXiv:2604.25053v1 Announce Type: new Abstract: While large language models (LLMs) are increasingly being explored for mental health applications, recent studies reveal that they can exhibit stigma to
arXiv:2604.25323v1 Announce Type: new Abstract: Recent advances in open-vocabulary mobile manipulation have brought robots into real domestic environments. In such settings, reliable long-horizon exec
Agentic transformation is reshaping how enterprises operate, moving beyond basic automation to AI systems that can manage entire business processes on their own. But unlocking the full potential of th
arXiv:2604.24775v1 Announce Type: cross Abstract: We present a Mixture-of-Experts-based foundation model applied to the GlueX DIRC detector at Jefferson Lab, demonstrating its utility as a unified fra
This Databricks blog post introduces sketch functions that enable approximate query results with quantifiable accuracy bounds, allowing organizations to make exact decisions based on approximate analy
arXiv:2601.12248v2 Announce Type: replace-cross Abstract: Recent advances in audio-aware large language models have shown strong performance on audio question answering. However, existing benchmarks m
arXiv:2604.24801v1 Announce Type: new Abstract: Autoregressive transformers make confident errors, but activation monitoring can catch them only if the model preserves an internal signal that output c
arXiv:2410.24214v3 Announce Type: replace-cross Abstract: Mixed precision quantization has become an important technique for optimizing the execution of deep neural networks (DNNs). Certified robustne
As models, contexts, and workloads grow, hidden assumptions in inference infrastructure can surface as output anomalies. Reliability requires more than throughput, latency, and availability. It also r
As part of this deployment, you can interact with the agent in several ways We expose the agent via MCP and A2A, as well as with as a 'remote graph' API, which means you can interact with as you would
arXiv:2604.25387v1 Announce Type: cross Abstract: Direction-of-arrival (DOA) estimation is an important task in microphone array processing and many downstream applications. The steered response power
arXiv:2604.24916v1 Announce Type: new Abstract: We introduce asRoBallet, to the best of our knowledge, the first successful deployment of reinforcement learning (RL) on a humanoid ballbot hardware. Hi
arXiv:2604.25322v1 Announce Type: new Abstract: A computational method for quantitative analysis of temporomandibular joint (TMJ) configuration using occlusal positioning splints is proposed and demon
arXiv:2604.24767v1 Announce Type: cross Abstract: Congenital heart disease (CHD) is the most common type of birth defect, impacting about 1% of live births worldwide. Echocardiography, the gold-standa
Autonomous B2B Agents-as-a-Service Entire business functions collapse into leased agent fleets: procurement, finance ops, legal workflows, even internal strategy. The shift is from SaaS (tools) to Aaa
Information technology management software provider Auvik Networks Inc. today announced the launch of Auvik Aurora: artificial intelligence-powered IT agents that are designed to help IT professionals
Aviatrix Inc. today announced the launch of a new platform designed to contain artificial intelligence agents and enforce security controls and communications across AI workloads without changing AI a
Quartz: AWS revenue rose 28% YoY in Q1 to 37.6B, vs. 36.64B est., its fastest growth in 15 quarters, as capital expenditure rose to 44.2B, up from 25B in Q1 2025 — AWS revenue rose 28% to 37.6 billion
b8969 is a release build of llama.cpp (commit bdc9c74), published on April 29, 2026. Llama.cpp is a C/C++ implementation designed to enable LLM inference with minimal setup and state-of-the-art perfor
b8970 is a release of llama.cpp, a C/C++ project for large language model inference. The naming convention using a build hash (b8970) is typical of llama.cpp's continuous release pattern rather than t
b8971 is a build release of llama.cpp, an open-source C/C++ project for LLM inference . As a numbered build identifier from the llama.cpp repository, this release likely contains bug fixes, performanc
b8972 is a release of llama.cpp, a C/C++ implementation for LLM inference . The release identifier follows llama.cpp's development versioning scheme with frequent builds published to the GitHub releas
b8973 is a release of llama.cpp that added SVE tuned code for the gemm_q8_0_4x8_q8_0() kernel and changed arrays to static const in repack.cpp . The llama.cpp project enables LLM inference with minima
b8978 is a release of llama.cpp, a project designed to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware. The llama.cpp project uses sequential build
B8979 is a llama.cpp release that added SVE (Scalable Vector Extension) tuned code for the gemm_q8_0_4x8_q8_0() kernel and made static const changes to repack.cpp . The release includes pre-built bina
b8981 is a release version of llama.cpp, a C/C++ implementation for LLM inference . Build versions in llama.cpp releases typically contain updates to the underlying ggml library, performance optimizat
arXiv:2604.25702v1 Announce Type: new Abstract: Contemporary neural machine translation (NMT) systems are almost exclusively built by training on supervised parallel data. Despite the tremendous progr
arXiv:2604.25203v1 Announce Type: new Abstract: Deploying guardrails for custom policies remains challenging, as generic safety models fail to capture task-specific requirements, while prompting LLMs
arXiv:2604.25800v1 Announce Type: cross Abstract: Chain-of-Thought (CoT) has been shown to empirically improve Transformers' performance, and theoretically increase their expressivity to Turing comple
arXiv:2411.05174v2 Announce Type: replace Abstract: We consider the problem of estimating the transition dynamics T^* from near-optimal expert trajectories in the context of offline model-based reinfo
Been talking to a lot of devs about LangGraph's Postgres checkpointer lately, the tricks each team applies to get it production-ready are always different. Here's how we handled it at @tiendanube: cus
arXiv:2604.25249v1 Announce Type: new Abstract: Detecting sandbagging--the deliberate underperformance on capability evaluations--is an open problem in AI safety. We tested whether symptom validity te
arXiv:2604.24955v1 Announce Type: new Abstract: As benchmarks grow in complexity, many apparent agent failures are not failures of the agent at all - they are failures of the benchmark itself: broken
arXiv:2601.03266v2 Announce Type: replace Abstract: Large language models (LLMs) have rapidly advanced in clinical decision-making, yet the deployment of proprietary systems is hindered by privacy con
arXiv:2604.25380v1 Announce Type: new Abstract: Recent advancements in Graphical User Interface (GUI) agents have predominantly focused on training paradigms like supervised fine-tuning (SFT) and rein
arXiv:2604.25358v1 Announce Type: new Abstract: Evaluating layout-guided text-to-image generative models requires assessing both semantic alignment with textual prompts and spatial fidelity to prescri
arXiv:2604.25452v1 Announce Type: new Abstract: Sentiment analysis of product reviews on e-commerce platforms plays a critical role in automatically understanding customer satisfaction and providing a
arXiv:2604.25176v1 Announce Type: new Abstract: The digitization of multi-domain retail billing documents remains a challenging task due to variability in scan quality, layout heterogeneity, and domai