arXiv:2609.21870v1 Announce Type: cross Abstract: Modern deep learning models achieve impressive generalization through over-parameterization, but this…
Author: script
From Reactive to Real-Time: Agentic Retail Execution in Cautious Times
The 2026 State of the US Consumer report from McKinsey offered an important glimpse into current consumer spending habits. Overall, rising living costs…
When Should a Failing Robot Ask? Initiating Corrective Human-Robot Dialogue from Audited Sensor Evidence
arXiv:2609.21942v1 Announce Type: cross Abstract: A robot that fails at a task faces the first decision in corrective dialogue: act on its own diagnosis,…
Where will the next breakout startup come from? Benchmark’s full partnership weighs in at TechCrunch Disrupt 2026
Where will the next breakout startup come from? Benchmark’s full partnership weighs in on the main stage at TechCrunch Disrupt 2026. Save up to $200…
Benchmarking the Explanatory Quality of Open-Weight Vision-Language Models in Face Recognition
arXiv:2609.21879v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) have recently been proposed as promising tools for face recognition, as…
Improving synthesis prediction of small molecules at scale with RetroChimera
Custom-made molecules are advancing medicine, materials, and agriculture, but producing them is slow and expensive. A new Nature paper highlights…
Detecting Pretraining Data in Large Language Models from a Free-Energy Perspective
arXiv:2609.21888v1 Announce Type: cross Abstract: Detecting pretraining data in large language models is challenging because high likelihood can reflect…
Collaboration Must Sit At the Heart of Manufacturing’s Multi-Agentic AI Approach. Here’s How.
Most, if not all, large-scale manufacturers are juggling a plethora of systems in their digital backbones. Often, these will all be operating at once on…
Do Personality-Tuned LLMs Make Better Social Agents?
arXiv:2609.21857v1 Announce Type: cross Abstract: LLMs are increasingly used in social simulations for socially interactive agents and robots, offering…
Touvigation: Embodied Adaptive Object Acquisition for Blind and Low-Vision Users in Unfamiliar Indoor Environments
arXiv:2609.21828v1 Announce Type: cross Abstract: Blind and low-vision users often face challenges when locating and physically acquiring objects in…
