Search: “productivity”

Evaluating Open-Weight E-Commerce Agents with Environment-Grounded Verification

arXiv:2609.16093v1 Announce Type: new Abstract: A shopping conversation has many routes to the same cart, and a task-success rate reduces all of them to one score. We build a deterministic and reprodu

agentsarxiv-cs-lg

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Hardware

FlashVector: Agent for Hierarchical Model Serving Stack Optimization

DGX agent

arXiv:2609.17391v1 Announce Type: new Abstract: Model serving is one of the largest cost drivers in production recommender systems. Maximizing its throughput requires navigating a deeply layered hiera

hardwarearxiv-cs-ai

16 Sept 2026

HLC-GS: Risk-Map-Guided Height-Layer Consistency Gaussian Splatting for DSM Reconstruction from Optical Satellite Imagery

arXiv:2609.16772v1 Announce Type: new Abstract: A Digital Surface Model (DSM) is a fundamental geospatial data product for representing the elevation of the Earth's surface. Recently, 3D Gaussian Spla

researcharxiv-cs-cv

Industry

HubSpot rebuilds its CRM platform around contextual AI

Customer relationship management vendor HubSpot Inc. is using its annual Unbound conference in Boston today to unveil what it calls its most significant product release in years: a rebuilt CRM platfor

industrysiliconangle

Multisource Remote Sensing and Geospatial Analysis of Vineyard Wildfire Impacts and Resilience: The 2019 Kincade Fire

arXiv:2609.16168v1 Announce Type: cross Abstract: Working agricultural landscapes are often treated as background to wildfire disasters, even though they are managed fuel mosaics, productive assets, a

researcharxiv-cs-cv

Optimizing agent system prompts with Amazon Bedrock AgentCore

model-releasesaws-ml-blog

AgentCore optimization turns production traces into proposed configuration changes, then validates them before promotion. This technical companion to the launch post explains how the system prompt opt

Reduplicative constructions in Mandarin: Socio-emotional profiling through distributional semantics

arXiv:2609.16860v1 Announce Type: new Abstract: Mandarin Chinese has two productive reduplicative constructions that repeat either two-character base words or their constituents (e.g., `in good health

researcharxiv-cs-cl

Talking Head Synthesis with Facial Landmark Guidance via 3D Gaussian Splatting

arXiv:2609.17422v1 Announce Type: new Abstract: Audio-driven digital human generation plays an important role in virtual communication, immersive interaction, and media production. With the developmen

applicationsarxiv-cs-ai

From Advertised Improvements to Measured Capabilities: Evaluating ChatGPT Images 2.5 on Forgery Tasks

arXiv:2609.13617v1 Announce Type: new Abstract: We evaluate whether the improvements advertised for ChatGPT Images 2.5 translate into better performance on forgery tasks with predetermined answers. We

researcharxiv-cs-cv

How Well Do Pseudo-Rigid Body Models Capture Real Plants? In-Field Validation of Simulated Blueberry Canes

arXiv:2609.13627v1 Announce Type: new Abstract: Many labor-intensive tasks in fruit production such as pruning require physically interacting with the plant (e.g., pushing, pulling, bending limbs, etc

applicationsarxiv-cs-ro

Introducing Filestore agent volumes: fully managed storage for agent workspaces

model-releasesgoogle-cloud-ai

From running build tools, to data analysis pipelines, to collaborative research, executing data-driven tasks is essential for any enterprise agent. Today, platform teams often stitch together custom w

Riemannian ascent--descent for nonconvex nonconcave minimax landscapes: convergence to basin saddle points and applications to distributionally robust optimization

arXiv:2609.14141v1 Announce Type: cross Abstract: We study a class of distributionally robust optimization (DRO) problems for the statistical risk problem, formulated as minimax problems over the prod

researcharxiv-cs-lg

WaveHiTS: Wavelet-Enhanced Hierarchical Time Series Modeling for Wind Direction Nowcasting in Eastern Inner Mongolia

arXiv:2504.06532v2 Announce Type: replace-cross Abstract: Wind direction forecasting plays a crucial role in optimizing wind energy production, but faces significant challenges due to the circular nat

applicationsarxiv-cs-ai

Why oh why should we trust the companies to do so, @DavidSacks? I missed the part where they have earned our trust.

Why oh why should we trust the companies to do so, @DavidSacks? I missed the part where they have earned our trust. Top AI companies Anthropic and OpenAI should make products and pace their own progre

safetygary-marcus--x

Fast BIB simulation at a future Muon Collider with generative machine learning

arXiv:2609.12054v1 Announce Type: cross Abstract: Beam-induced background (BIB) from muon decay products will be an overwhelming and unavoidable background at a future Muon Collider. In order to devel

researcharxiv-cs-lg

14 Sept 2026

Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead. You guys are th…

Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead. You guys are the frontier. By any reasonable metric — market share, revenue

safetyclem-delangue--x

13 Sept 2026

One thing OpenAI and Anthropic definitely don’t want to be is … the next Juicero.

Gary Marcus tweeted that OpenAI and Anthropic do not want to become the next failed premium device like Juicero. He warns of the risk of offering an overpriced, niche product that fails to catch on. C

safetygary-marcus--x

13 Sept 2026

Verification of Adaptive Agentic Controllers through Finite Rule Revision

arXiv:2607.09770v2 Announce Type: replace Abstract: Industrial agentic AI systems increasingly exhibit a gap between prototype capability and production deployment. In particular, adaptive agents may

12 Sept 2026

Detecting hallucinations in local models without eating VRAM: What we learned testing 1.5B to 120B models

Hey everyone, If you run local models via Ollama in production or personal projects, you've probably run into the hallucination problem: how do you know when a model is hallucinating without burning e

model-releasesr-ollama

Local Ai

EGGROLL, Unrolled: Understanding and Improving Low-Rank Evolution Strategies at Scale

arXiv:2609.10980v1 Announce Type: new Abstract: EGGROLL makes evolution strategies (ES) practical for LLMs by replacing dense Gaussian weight perturbations with low-rank Gaussian products, often of ra

local-aiarxiv-cs-lg

Generative AI for Analysts

arXiv:2512.19705v2 Announce Type: replace-cross Abstract: We study how generative artificial intelligence (GenAI) reshapes financial analysts' information production. Using the 2023 integration of Gen

Hardware

Phase-Decoupled, Model-Calibrated Power Control for Disaggregated LLM Serving

arXiv:2609.11133v1 Announce Type: new Abstract: Datacenter GPU power is the binding constraint on LLM serving capacity, and production serving has shifted to prefill/decode (PD) disaggregation. Deploy

hardwarearxiv-cs-lg

Industry

Salesforce introduces new AI agents to automate sales, support tasks

Salesforce Inc. today introduced a series of artificial intelligence agents designed to make sales and technical support teams more productive. The agents are rolling out alongside a new version of Ag

industrysiliconangle

Local Ai

ALIGN-HOLD: Experience Alignment for Real-Time Hold Control in Large-Scale Ride-Hailing Matching at DiDi

arXiv:2609.09685v1 Announce Type: new Abstract: Real-time hold control is a high-leverage mechanism in large-scale ride-hailing systems: by selectively deferring driver-order pairs, the platform can w

local-aiarxiv-cs-lg

An emancipatory vision for designing (generative) AI for learner flourishing

arXiv:2609.07715v1 Announce Type: cross Abstract: The hype around generative AI seems to promise unprecedented productivity (and learning) gains. However, these technologies' increasing agentic featur

agentsarxiv-cs-ai

Decision-Focused Active Learning for Scale-Aware Critical-Materials Recovery

model-releasesarxiv-cs-ro

arXiv:2609.09413v1 Announce Type: cross Abstract: Choosing a recovery process for scale-up requires connecting laboratory results with product requirements, process costs, and scale effects. We analyz

Quality Metrics for LLM-Generated Asset Administration Shells: A Perturbation-Based Evaluation Approach

arXiv:2609.07290v1 Announce Type: cross Abstract: The rapid digital transformation of manufacturing, often referred to as Industry 4.0, relies on seamless interoperability between physical and softwar

Query Brand Entity Linking in E-Commerce Search

arXiv:2502.01555v3 Announce Type: replace-cross Abstract: Associating user search queries with the correct brand entity is critical for e-commerce product retrieval, yet remains challenging due to the

researcharxiv-cs-lg

Qwen-Audio-3.0-ASR Technical Report

model-releasesarxiv-cs-cl

arXiv:2609.07549v2 Announce Type: replace Abstract: In recent years, automatic speech recognition (ASR) has witnessed transformative advancements driven by three complementary paradigms: data scaling,

Sure, Meta’s AI Muse works, but it sure creeps me out

Meta has launched its new Muse assistant, marking the company's first real foray into AI-powered productivity tools. The company says its AI agent can 'take the busywork off your plate' by helping you

agentsthe-verge-ai

zScore-N: A Neural Network for On-Chain Wallet Reputation Scoring

arXiv:2609.08247v1 Announce Type: new Abstract: Wallet reputation scores decide who receives an airdrop, who can borrow, and who enters an allowlist across decentralised finance. They almost always be

safetyarxiv-cs-ai

Enterprise-grade PostgreSQL with AlloyDB Omni RPM Orchestrator is generally available

model-releasesgoogle-cloud-ai

We are thrilled to announce the general availability of the AlloyDB Omni Red Hat RPM orchestrator, that brings production-ready security, resiliency, and low-downtime operations to PostgreSQL workload

Explainable Temporal Attention-based Defect Detection For Fillet Joints in Real-Time Gas Metal Arc Welding Based on Multi-modal Data

arXiv:2609.07893v1 Announce Type: cross Abstract: Deep learning is an efficient technique to monitor the real time welding process, reducing post-welding repairs and production delays. This paper leve

applicationsarxiv-cs-lg

Modal Logic Neural Networks

arXiv:2512.03491v3 Announce Type: replace Abstract: Neural Networks are indispensable to natural sciences and society. Their impact extends from applications in public health to workforce productivity

safetyarxiv-cs-lg

Toward Sustainable Distributed LLM Inference: A Systems Synthesis and Research Agenda for an Energy-, Carbon-, and Cache-Aware llm-d Control Plane

model-releasesarxiv-cs-lg

arXiv:2609.05565v1 Announce Type: cross Abstract: Large language model (LLM) sustainability is increasingly a serving-systems problem, not only a training problem. In production, energy and carbon imp

Vision-Encoder Behavioral Fingerprints of Image-to-Image Generative Models: A Training-Paradigm-Driven Taxonomy of Six Commercial APIs

model-releasesarxiv-cs-cv

arXiv:2606.14787v2 Announce Type: replace Abstract: We study six production image-to-image AI systems (gpt-image-1, Gemini 2.5 Flash Image, Flux Kontext, SDXL img2img, SD3 img2img, and Qwen Image Edit

Hardware

Led by @Samsung, co-led by @eqt's Scaleup Europe Fund and @PSG_equity, with continued backing from @ASMLcompany, @nvidia, @BNPParibas CIB an…

Led by @Samsung, co-led by @eqt's Scaleup Europe Fund and @PSG_equity, with continued backing from @ASMLcompany, @nvidia, @BNPParibas CIB and others. This fuels our infrastructure and product capabili

hardwaremistral-ai--x

Lightsage gets $4M in funding to help software makers sell directly to autonomous AI agents

Lightsage, an early-stage startup that’s helping software companies to sell their products to artificial intelligence agents, said today it has raised 4 million to spark a new era of “agent-led growth

agentssiliconangle

Meta bets on AI agent Muse to catch up in AI race

Meta is making another push to bring artificial intelligence to the masses with Muse, a personal assistant it says can put AI in the hands of virtually anyone. The product is the latest step in a mult

agentsthe-verge-ai

Nice report on agents beyond code generation. Here is why it matters: Coding agents raise how much code gets written. This report argues the…

Nice report on agents beyond code generation. Here is why it matters: Coding agents raise how much code gets written. This report argues the gains shrink sharply between writing code and shipping reli

model-releasesdair-ai--x

very relevant to today’s drama! and PSA for anyone working on anything sensitive.

applicationsgary-marcus--x

very relevant to today’s drama! and PSA for anyone working on anything sensitive. Synthetic data derived from production user data of consumer AI tools is used for training. I’ve heard this rumour fro

A Cost-Aware Agentic Architecture for NL-to-SQL over Nested Enterprise Schemas, with a New Benchmark

arXiv:2609.04641v1 Announce Type: new Abstract: Natural-language-to-SQL systems have ad- vanced rapidly on academic benchmarks, yet production enterprise schemas exhibit graph- like, semi-structured,

AutoLR: Automating the Path from Research to Launch Review in Industrial Recommender Systems

arXiv:2609.04871v1 Announce Type: new Abstract: Improving an industrial recommender is an iterative research-and-engineering process rather than a direct path from idea to deployment. In extbf{DASHEN,

agentsarxiv-cs-ai

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations

arXiv:2510.07314v4 Announce Type: replace-cross Abstract: Nuclear fusion plays a pivotal role in the quest for reliable and sustainable energy production. A major roadblock to viable fusion power is u

applicationsarxiv-cs-ai

Local Ai

Lightweight Vision Transformer Compression for On-Device Plant Disease Detection in Resource-Constrained Agricultural Field Conditions

arXiv:2609.05334v1 Announce Type: cross Abstract: Chilli (Capsicum annuum) is one of India's most economically significant crops, yet its productivity is persistently threatened by diseases that are d

local-aiarxiv-cs-ai

Measuring LLM performance drift: observations and methodology from 31,352 repeated benchmark measurements [D]

model-releasesr-machinelearning

One thing that has bothered me about LLM benchmarks for a while is that most of them are essentially snapshots. A model is evaluated, a score is published, and we tend to talk about that score as if i

RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments

arXiv:2609.05403v1 Announce Type: cross Abstract: Retail search systems serve diverse geographic regions with distinct query patterns, vocabularies, and product preferences, creating significant data

SiLR: Structure-Preserving Admission and Process Reward for LLM Tool Agents

arXiv:2609.04629v1 Announce Type: new Abstract: A runtime gate for an LLM tool agent is usually cast as a filter. In a ReAct loop a rejected proposal is followed by another at the same state, so the g