Control logic as an app – how would that change your factory?
Hey there, little explorer! 👋
Imagine your toy robot can only do one dance. Boring, right? 🤖
Now, imagine your grown-up's phone can do lots of things because of different apps! 📱
This story is like that! Big grown-up factories, where cars are made, used to have machines that could only do one thing. But now, smart people like Siemens and Ford are making it so these machines can change what they do, just like you can change apps on a phone! 🚗💨
It means the machines can learn new tricks super fast, like magic! They can build new toys or cars much quicker and better! Isn't that cool? ✨
When hardware constraints disappear and your automation fleet updates as easily as a smartphone app, how much would that transform your business model and market response? This was the core question behind a joint project between Siemens and Ford Motor Company. Ford, as co-creator and first customer, rolled out the solution across multiple manufacturing sites. […]
Could not retrieve the full article text.
Read on blog.siemens.com →blog.siemens.com
https://blog.siemens.com/2026/03/control-logic-as-an-app-how-would-that-change-your-factory/Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
modelupdatecompany
Building to Understand: Examining Teens' Technical and Socio-Ethical Pieces of Understandings in the Construction of Small Generative Language Models
arXiv:2603.25852v2 Announce Type: replace Abstract: The rising adoption of generative AI/ML technologies increases the need to support teens in developing AI/ML literacies. Child-computer interaction research argues that construction activities can support young people in understanding these systems and their implications. Recent exploratory studies demonstrate the feasibility of engaging teens in the construction of very small generative language models (LMs). However, it is unclear how constructing such models may foster the development of teens' understanding of these systems from technical and socio-ethical perspectives. We conducted a week-long participatory design workshop in which sixteen teenagers constructed very small LMs to generate recipes, screenplays, and songs. Using themati

Simulating Couple Conflict: Designing A Multi-Agent System for Therapy Training and Practice
arXiv:2601.10970v2 Announce Type: replace-cross Abstract: Couples therapy requires managing complex, evolving emotional dynamics between partners, but traditional training methods for therapists, like role-play, lack realism, consistency, and control. We present a multi-modal simulation that models therapy as a controlled, multi-agent dynamical system with structured interaction stages. Therapists practice with a pair of client-agents who go through six evolving stages that respond to therapist actions. This simulation enables practice with demand-withdraw conflict patterns in a closed-loop environment. The simulation uses a sense-plan-act architecture: it detects the therapist's input, updates agents' interaction states based on psychotherapy theory and transcript analysis, and generates

Agentic Link Construction for Environment and Intent Aware 6G Communication
arXiv:2511.05094v2 Announce Type: replace Abstract: The emergence of sixth-generation networks heralds an intelligent communication ecosystem driven by the rapid proliferation of intelligent services and increasingly complex communication scenarios. However, current physical-layer designs-typically following modular and isolated optimization paradigms-fail to achieve global end-to-end optimality due to neglected inter-module dependencies. Although large language models (LLMs) have recently been applied to communication tasks such as beam prediction and resource allocation, existing studies remain limited to single-task or single-modality scenarios and lack the ability to jointly reason over communication states and user intents for personalized strategy adaptation. To address these limitat
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products

YouTube blokkeert Nvidia s DLSS 5-video na auteursclaim Italiaanse tv-zender
De Italiaanse tv-zender La7 claimt auteursrechten op beeldmateriaal met Nvidia s DLSS 5-technologie en laat die blokkeren. Googles videoplatform YouTube blokkeert nu videomateriaal met DLSS 5-beeld, wat ook de officiële aankondigingsvideo van Nvidia raakt.

BIRA: A Spherical Bistatic Radar Reflectivity Measurement System
arXiv:2407.13749v5 Announce Type: replace Abstract: The upcoming 6G mobile communication standard will offer a revolutionary new feature: Integrated sensing and communication (ISAC) reuses mobile communication signals to realize multi-static radar for various applications including localization. Consequently, applied ISAC propagation research necessitates to evolve from classical monostatic radar cross section (RCS) measurement of static targets on to bistatic radar reflectivity characterization of dynamic objects. Here, we introduce our Bistatic Radar (BIRA) measurement facility for independent spherical positioning of two probes with sub-millimeter accuracy on a diameter of up to 7 m and with almost continuous frequency coverage from 0.7 up to 260 GHz. Currently, BIRA is the only bistati

Exploiting Out-of-Band Information for Millimeter-Wave MIMO Channel Estimation: Performance in Static and Dynamic Scenarios
arXiv:2604.02936v1 Announce Type: new Abstract: To support the high data rates for latency-critical applications, future wireless systems will employ fully digital beamforming multiple-input multiple-output (MIMO) architectures at millimeter wave (mmWave) frequencies. Moreover, mmWave MIMO deployments will coexist with conventional sub-6 GHz MIMO systems, creating opportunities to exploit out-of-band sub-6 GHz information to enhance channel estimation at mmWave frequencies. In this work, we analyze the pilot-aided channel estimation performance of mmWave MIMO systems under various pilot configurations in both static and dynamic environments. We evaluate the system performance in terms of spectral efficiency (SE) for line-of-sight and non-line-of-sight propagation conditions. Simulation res


Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!