☀️Nicolas Dengler

This map shows the dynamic growth of #Zurich and region. Here are some news, figures and dates about the #startup ecosystem here. More and more important players are settling in Zurich. Microsoft recently announced that it would invest $400 million in Switzerland to expand the cloud and artificial intelligence infrastructure in the country. One important reason why so many companies come to our region: top universities such as ETH Zürich or ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Zurich (Switzerland) is establishing itself as one of the world's leading deep tech locations. Organizations such as Deep Tech Nation Switzerland are making a positive contribution to further strengthening the system. Click here for the Swiss Deep Tech Report 2025: 👉 https://lnkd.in/dBCHyn5t A week ago, the Swiss Startup Association published an up-to-date map of VCs in Switzerland. 👉 https://lnkd.in/dZDQWhBP The following awards offer startups a great opportunity to generate attention and raise money: 👉 ZKB Pionierpreis by Zürcher Kantonalbank (apply by September 22) 👉 Top 50 Awards by W.A. De Vigier Stiftung: Apply from October 2025 👉 Startup Nights Awards: Apply by September 20, 2025 👉 >>venture>> Startup Competition: Apply from October 2025 I look forward to meeting you in person at one of the following two events. Both are taking place this week. 👉 The innosuisse Plenary at Roche in Basel 👉 The TOP 100 Swiss Startup Awards 2025 ceremony in Zurich (by Venturelab). Over the past few years, I have had the privilege of coaching more than 200 startups in pitching and storytelling for Innosuisse and many other organizations. It's great to be part of this dynamic startup and innovation ecosystem. I also have some news to share: Among others, I have been invited to give a keynote speech at the UBS Innovation Forum, I will be a guest lecturer at ETH Zürich and will now be starting as a pitch trainer at HSG START Accelerator. We are also planning an exciting event for 2026 with the FRZ Flughafenregion Zürich - Wirtschaftsnetzwerk & Standortentwicklung. Thanks also to Tenity Digital Healt Accelerator, Technopark Winterthur AG, TECHNOPARK® Zürich, STARTUP CAMPUS Switzerland RUNWAY Startup Incubator and all the others for the great collaboration. Let us continue to strengthen Switzerland as one of the global leaders in innovation. Raphael Tobler, Michael Kubli, Regula Bleuler, Matthias Herrmann, Priscilla Sarnau, Matthias Hölling, Stève Mérillat, Lukas Huber, Rahel Kindermann Leuthard, Steffen Ehrhardt, Nicolas Blanchard, Maria Anselmi, Andrea Silberschmidt-Buhofer, Felicitas Gartmann, Ramona Lieser, Innovation Zurich, Simon May Greater Zurich Area, Maren Schlieper, Fabian Bamert #innovation #Switzerland

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This is the best example of sustainable urban living in the world! 🌍 Share this video if you wish more urban areas could learn from this neighbourhood 🙌 Video made by Ben Brown and Ciara Doyle from Going Green Media. 10 lessons every city should learn from the Vauban District in Freiburg 🇩🇪 1. It’s one of the largest solar districts in Europe and the residents can sell excess energy back to the city. ☀️ 2. Tram stops are within walking distance for all and the greenery reduces the heat island effect of concrete. 🚃 3. Children’s play areas use natural materials and are surrounded by nature. 🛝 4. All buildings are unique, with the community being involved throughout the design process. 🏡 5. The graffiti art is beautiful. 🎨😉 6. There is a natural supermarket in the centre of the community where fruit and vegetables are available without plastic. 🍏 7. 70% of inhabitants don’t own a car in Vauban, but have access to car-sharing when needed. 🚙 8. The community garden is available for anyone who lends a helping hand. 🪴 9. The area was a former French military base and many materials were repurposed from the old buildings. 🪵 10. There is a green hotel which allows visitors to stay close by in an eco-friendly stay. 🏨 Communities like this prove it is possible to create more sustainable, functional neighbourhoods even in the middle of cities. #gogreen #ecodesign #goinggreen #nature #sustainability #eco #sustainable #earth #sustainabledesign #design #city

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🚨 New “foundation model” for reasoning on text and time series by Stanford Biodesign Digital Health, Google and ETH Zürich. Spoiler alert: OpenTSLM lacks evidence to support its claims, does not show evidence of working beyond a narrow problem set, and is not more accurate than classical models. 👉 OpenTSLM is marketed as a breakthrough multimodal foundation model for temporal reasoning with order-of-magnitude gains in medical reasoning and beyond. ‼️But... no evidence to support those claims is to be found. The paper overstates results, omits key literature, and cherry-picks baselines, falling short of minimal standards for methodological rigor and transparency. Here are 🔟 points that I find problematic and share in the spirit of academic exchange. ⚠️ Core concerns: 1️⃣ Misleading framing: Tasks are mostly templated classification, not real temporal reasoning. No forecasting, imputation, or anomaly detection. 2️⃣ False claims: “order-of-magnitude gains in temporal reasoning” is simply false and misleading. 3️⃣ Missing literature: Complete omission of related work. E.g. Chronos by Amazon , TimesFM by Google, Moirai by Salesforce, Toto by Datadog, TabPFN by Prior Labs, TiRex by NXAI, Moment by Carnegie Mellon University... 4️⃣ Weak baselines (cherry-picking): self constructed datasets and omission of standard baselines. (E.g., Sleep-EDF results are far below models from the last decade) 5️⃣ Template dependence — Models were trained to solve one very particular task and don't show any signs of generalization. 6️⃣ Compute inefficiency — Enormous complexity and compute for subpar results. 7️⃣ No forecasting, classification or anomaly detection: Using ChatGPT-style captioning is not forecasting. The authors do include code to handle the Monash Dataset and The UCR Archive but completely omit any reference in the paper. 8️⃣ Missing results, logs, checkpoints, and relevant ablations — No breakdown of curriculum, rationale, or encoder impact. 9️⃣ Code irregularities — >122 files deleted before publishing; including evaluation notebooks and dataset generation script. Also the code history shows that some standard benchmarks (e.g. PAMAP2) were introduced, presumably evaluated and then replaced. 🔟 Suboptimal quality — The paper is signed, endorsed, and shared by researchers from from top institutions. Such an amazing set of authors can and has to produce better work. 🔍 Transparency, quality, and rigor matter — especially in fields like healthcare. 🎖️ If we want trustworthy foundation models we need to raise the bar, not lower. Patrick Langer, Thomas Kaar, Max Rosenblattl, Paul Schmiedmayer, Filipe Barata Welcome to the time series field, and #happyforecasting. 💬 Thoughts, evidence, or corrections welcome. If I’ve missed something, please point it out — I’ll happily adjust or retract. #AI #MachineLearning #TimeSeries #FoundationModels #Transparency #MLResearch #AcademicIntegrity

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