Podcasts about Hoffmann

In this episode of the Niche Pursuits podcast, Mike Hoffmann of Vendingpreneurs shares his journey from a traditional W-2 job to building a successful vending machine business.  He reveals how he scaled his operation to over 100 machines. Mike then goes into the nuts and bolts of finding profitable locations, selecting the right machines, and managing inventory. Whether you're looking for a side hustle or a full-time business, he offers valuable insights into the world of vending and passive income. ** Podcast Sponsor - Jolly SEO (link: https://jollyseo.com/free-haro-guide/)   Ready to join a niche publishing mastermind, and hear from industry experts each week? Join the Niche Pursuits Community here: https://community.nichepursuits.com Be sure to get more content like this in the Niche Pursuits Newsletter Right Here: https://www.nichepursuits.com/newsletter Want a Faster and Easier Way to Build Internal Links?  Get $15 off Link Whisper with Discount Code "Podcast" on the Checkout Screen: https://www.nichepursuits.com/linkwhisper Get SEO Consulting from the Niche Pursuits Podcast Host, Jared Bauman: https://www.nichepursuits.com/201creative

Abby Hoffmann, founder of Yantra Studio, talks with J about their formative years and opening another yoga center again after they both swore they never would. They discuss ashtanga rooms in the late 90's, classes getting sweaty, being asked to teach before TT's existed, moving out of the city, bringing yoga to dance training, emergence of rock star teachers, freer approaches to asana, taking a gig at hot studio chain, advantages to the boutique fitness model, learning business skills, patterns of attendance, and being rooted in your community.   To subscribe and support the show… GET PREMIUM. Say thank you - buy J a coffee. Check out J's other podcast… J. BROWN YOGA THOUGHTS.    

Tischtennis: WM: Weltranglisten-Elfter Dang Qiu in Runde zwei ausgeschieden - Doppel Sabine Winter/Yuan Wan wirft chinesische Titelkandidatinnen raus+++Fußball: 2. BL: Eintracht Braunschweig trennt sich vor der Relegation von Trainer Daniel Scherning+++Düsseldorf: Verträge von Hoffmann und Sobottka werden nicht verlängert+++Tennis: Rothenbaum: Alexander Zverev erreicht das Achtelfinale+++Eva Lys in Straßburg in Runde eins ausgeschieden.

Hoffmann, Ariane www.deutschlandfunkkultur.de, Studio 9

Andrew Sleigh of Sprott Money is joined by Kai Hoffmann of SOAR Financially for an urgent conversation on the rising economic and political instability in Europe—and what it means for global markets and the gold price and silver price. From Germany's energy crisis and factory shutdowns to the upcoming launch of the digital euro (CBDC) and growing capital controls, this episode highlights how European policies are triggering ripple effects across the global economy. With power grid failures, recession, and high debt levels mounting, investors are turning to precious metals as a hedge against uncertainty.

Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Hennig, Silke www.deutschlandfunkkultur.de, Lesart

Hennig, Silke www.deutschlandfunkkultur.de, Lesart

PIK-FEIN B2B KAY HOFFMANN @ C.A.M. Electronic Radio | LEIPZIG | 25.04.25 -♠♤♠ ⎯⎯ ♠♤♠⎯⎯ ♠♤♠⎯⎯ ♠♤♠⎯⎯♠♤⎯⎯ ♠♤♠⎯- ♥️ !!! DANKE EUCH FÜR DIESE UNVERGESSLICHE NACHT !!! ♥️ ------------------------------------------------------------------------ ARTIST - ...INFOs... - @PIK-FEIN - PIK-FEIN the Dirty Techno Frankfurt Am Main! Seit 1987 wandelt er auf unserem Planeten herum… Im Januar 2010 begann im U60311 mit seinem offiziell 1 Gig als PIK-FEIN seine Dj Laufbahn !!! Daraus wurde dann sehr schnell mehr... Seit dem heißt es jedes Weekend In den verschiedensten Techno Clubs - Open Airs - Festival´s - Bar´s - in ganz Deutschland DIRTY FRANKRURTER TECHNO mit SINN & SCHWUNG !!!. Mit Seiner ganz eigenen Art und Weise TECHNO-MUSIC zu Dirigieren & Zelebrieren, verzaubert, er bei jeder Gelegenheit an den Reglern mit wummernden Bässen das Publikum. ..mit den druckvollen Darken und verspulten Klängen geht es dan bis zum Morgengrauen und noch viel WEITER !!! Man hat es net leicht aber leicht hat's einen !!! !!! SUCHTGEFAHR GARANTIERT !!! ...all LINKs @ one page... ✧ linktr.ee/PIK_FEIN ✧ KAY HOFFMANN @ TECHNO LOUNGE | DEJAVU - BAD KREUZENACH | 28.09.2024 -♠♤♠ ⎯⎯ ♠♤♠⎯⎯ ♠♤♠⎯⎯ ♠♤♠⎯⎯♠♤⎯⎯ ♠♤♠⎯- ARTIST - ...INFOs... - @kayhoffmanndj - Es war der Mai 1977 als ich der Kay das Licht der Welt erblickte und schon in den späten 80igern entdeckte ich meinen Hang zu elektronischen Klängen. Doch auch andere Musikrichtungen beeinflussten mich immer wieder aber der Weg führte immer wieder zu den elektronischen Klängen zurück. Schon Ende der 90iger war mir klar, das der treibende Beat des Techno meine Passion werden sollte. In den Jahren 2009/2010 war Kay mit anderen Jungs an dem TTHtek-Projekt beteiligt wo in unregelmäßigen Abständen Partys stattfanden. Danach gab es Gastauftritte auf diversen Veranstaltungen in und um Frankfurt welche meistens von privater Natur waren, sowie ein Gastauftritt bei Fnoob Techno Radio. Es folgten Gigs u.a. im Tanzhaus West,U60311, Don Lippstadt, Elfer Club, Housebar55, Konfuzius Franz. ...Booking & Kontakt... @kayhoffmanndj www.facebook.com/KayHoffmannDJ instagram.com/djkayhoffmann?igshid=YmMyMTA2M2Y= youtube.com/@kayhoffmannofficialdj2787 -♠♤♠ ⎯⎯ ♠♤♠⎯⎯ ♠♤♠⎯⎯ ♠♤♠⎯⎯♠♤⎯⎯ ♠♤♠⎯- ARTIST - ...INFOs... - @kayhoffmanndj - Es war der Mai 1977 als ich der Kay das Licht der Welt erblickte und schon in den späten 80igern entdeckte ich meinen Hang zu elektronischen Klängen. Doch auch andere Musikrichtungen beeinflussten mich immer wieder aber der Weg führte immer wieder zu den elektronischen Klängen zurück. Schon Ende der 90iger war mir klar, das der treibende Beat des Techno meine Passion werden sollte. In den Jahren 2009/2010 war Kay mit anderen Jungs an dem TTHtek-Projekt beteiligt wo in unregelmäßigen Abständen Partys stattfanden. Danach gab es Gastauftritte auf diversen Veranstaltungen in und um Frankfurt welche meistens von privater Natur waren, sowie ein Gastauftritt bei Fnoob Techno Radio. Es folgten Gigs u.a. im Tanzhaus West,U60311, Don Lippstadt, Elfer Club, Housebar55, Konfuzius Franz. ...Booking & Kontakt... @kayhoffmanndj www.facebook.com/KayHoffmannDJ instagram.com/djkayhoffmann?igshid=YmMyMTA2M2Y= youtube.com/@kayhoffmannofficialdj2787 PASST SITZT & QUIETSCHT genau das richtige auf der SONDERSPUR !!! LASST ES EUCH.... GUUT GEHE & VIEL SPASS BEIM GENIEßEN !!! ...LET THE GEBALLER ENTERTAIN YOUUUUUUU !!!

Hennig, Silke www.deutschlandfunkkultur.de, Lesart

Send us your thoughts! (In) Love explores the different aspects and essences of love, through a simple yet sophisticated musical language, reflecting the singer and song-writer's experience gathered during the last years. The original songs which compose this collection include jazz, world music, bossa nova, and also a jazz ballad composed by the music veteran Ivan Lins, with lyrics written by Sofia Hoffmann. Enjoy!Support the show

«Zugucken, zuhören, aufschreiben, vortragen – das ist das ganze Geheimnis, wie ich es betreibe», bemerkte Hanns Dieter Hüsch einmal. Allerdings, so ergänzte der gebürtige Niederrheiner, versuchte er dabei auch immer wieder «unzusammenhängende Zusammenhänge zusammenzuhängen». Hüsch starb 2005. Von seinen 80 Lebensjahren hatte er über 50 auf der Bühne verbracht. Sein Kabarett war immer ganz nah am Menschen – und zutiefst menschenfreundlich. Sein einzigartiger Stil hinterließ nachhaltige Spuren im deutschen Kabarett. Eine Hommage zum 100. Geburtstag von Hanns Dieter Hüsch. Mit Künstlern, die ihm auch persönlich nahestanden. Darunter Dieter Nuhr, Konstatin Wecker, Rüdiger Hoffmann.

Dans ce nouvel épisode de Chaud Sa Mer ça parle géopolitique ! Avec la COP29 comme point de départ de la discussion, l'épisode s'intéresse à l'état global du climat et à l'effort que font ou ne font pas les différents pays. Préparez-vous pour des points sur les jets privés et la politique de Trump ainsi que pour des questions profondes sur notre rapport à l'écologie et à la politique internationale ! Direction éditoriale : Hauru Pandragon Direction de l'émission : Alexandra Herberger Chroniqueur.euse.s : Maïli Hedde, Alexandra Herberger, Eloïse Hoffmann, Hauru Pandragon, Lison Thibaud Montage : Alexandra Herberger Communication : Paul-Antoine Stevenin Graphisme : Maïli HeddeJingle : Alexandra Herberger, Hauru Pandragon ; Musique fournie par https://www.lalason.com – Video Link: / @lamusiquelibre

Suter, Martin www.deutschlandfunkkultur.de, Lesart

Suter, Martin www.deutschlandfunkkultur.de, Lesart

Suter, Martin www.deutschlandfunkkultur.de, Lesart

Hoffmann, Felix www.deutschlandfunkkultur.de, Kompressor

Jedes Hotel soll eine Geschichte erzählen – das war der Ansatz mit dem Christoph Hoffmann die Kette 25hours aufgebaut und zu mehreren hundert Millionen Euro Umsatz geführt hat. Im OMR Podcast spricht der Unternehmer über seine Anfänge als Schüler mit eigenem Weinladen, Dubai als Hotel-Standort und die Diskussionen mit Podcaster Matze Hielscher, ob es das Hotel Matze nicht auch in Echt geben sollte.

In this episode Gudrun speaks with Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe. Since August 2024, Nadja has been professor at KIT leading the research group Methods for Big Data (MBD) there. She is an Emmy Noether Research Group Leader, and a member of AcademiaNet, and Die Junge Akademie, among others. In 2025, Nadja was awarded the Committee of Presidents of Statistical Societies (COPSS) Emerging Leader Award (ELA). The COPSS ELA recognizes early career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field. She finished her doctoral studies in Mathematics at the Universität Göttingen before conducting a postdoc at the University of Melbourne as a Feodor-Lynen fellow by the Alexander von Humboldt Foundation. Afterwards she was a Professor for Statistics and Data Science at the Humboldt-Universität zu Berlin before joining KIT. Moussa joined Nadja's lab as an associated member in 2023 and later as a postdoctoral researcher in 2024. He pursued a PhD at the TU Berlin while working as an AI Research Scientist at the Continental AI Lab in Berlin. His research primarily focuses on deep learning, developing uncertainty-based automated labeling methods for 2D object detection in autonomous driving. Prior to this, Moussa earned his M.Sc. in Mechatronics Engineering from the TU Darmstadt in 2021. The research of Nadja and Moussa is at the intersection of statistics and machine learning. In Nadja's MBD Lab the research spans theoretical analysis, method development and real-world applications. One of their key focuses is Bayesian methods, which allow to incorporate prior knowledge, quantify uncertainties, and bring insights to the “black boxes” of machine learning. By fusing the precision and reliability of Bayesian statistics with the adaptability of machine and deep learning, these methods aim to leverage the best of both worlds. The KIT offers a strong research environment, making it an ideal place to continue their work. They bring new expertise that can be leveraged in various applications and on the other hand Helmholtz offers a great platform in that respect to explore new application areas. For example Moussa decided to join the group at KIT as part of the Helmholtz Pilot Program Core-Informatics at KIT (KiKIT), which is an initiative focused on advancing fundamental research in informatics within the Helmholtz Association. Vision models typically depend on large volumes of labeled data, but collecting and labeling this data is both expensive and prone to errors. During his PhD, his research centered on data-efficient learning using uncertainty-based automated labeling techniques. That means estimating and using the uncertainty of models to select the helpful data samples to train the models to label the rest themselves. Now, within KiKIT, his work has evolved to include knowledge-based approaches in multi-task models, eg. detection and depth estimation — with the broader goal of enabling the development and deployment of reliable, accurate vision systems in real-world applications. Statistics and data science are fascinating fields, offering a wide variety of methods and applications that constantly lead to new insights. Within this domain, Bayesian methods are especially compelling, as they enable the quantification of uncertainty and the incorporation of prior knowledge. These capabilities contribute to making machine learning models more data-efficient, interpretable, and robust, which are essential qualities in safety-critical domains such as autonomous driving and personalized medicine. Nadja is also enthusiastic about the interdisciplinarity of the subject — repeatedly changing the focus from mathematics to economics to statistics to computer science. The combination of theoretical fundamentals and practical applications makes statistics an agile and important field of research in data science. From a deep learning perspective, the focus is on making models both more efficient and more reliable when dealing with large-scale data and complex dependencies. One way to do this is by reducing the need for extensive labeled data. They also work on developing self-aware models that can recognize when they're unsure and even reject their own predictions when necessary. Additionally, they explore model pruning techniques to improve computational efficiency, and specialize in Bayesian deep learning, allowing machine learning models to better handle uncertainty and complex dependencies. Beyond the methods themselves, they also contribute by publishing datasets that help push the development of next-generation, state-of-the-art models. The learning methods are applied across different domains such as object detection, depth estimation, semantic segmentation, and trajectory prediction — especially in the context of autonomous driving and agricultural applications. As deep learning technologies continue to evolve, they're also expanding into new application areas such as medical imaging. Unlike traditional deep learning, Bayesian deep learning provides uncertainty estimates alongside predictions, allowing for more principled decision-making and reducing catastrophic failures in safety-critical application. It has had a growing impact in several real-world domains where uncertainty really matters. Bayesian learning incorporates prior knowledge and updates beliefs as new data comes in, rather than relying purely on data-driven optimization. In healthcare, for example, Bayesian models help quantify uncertainty in medical diagnoses, which supports more risk-aware treatment decisions and can ultimately lead to better patient outcomes. In autonomous vehicles, Bayesian models play a key role in improving safety. By recognizing when the system is uncertain, they help capture edge cases more effectively, reduce false positives and negatives in object detection, and navigate complex, dynamic environments — like bad weather or unexpected road conditions — more reliably. In finance, Bayesian deep learning enhances both risk assessment and fraud detection by allowing the system to assess how confident it is in its predictions. That added layer of information supports more informed decision-making and helps reduce costly errors. Across all these areas, the key advantage is the ability to move beyond just accuracy and incorporate trust and reliability into AI systems. Bayesian methods are traditionally more expensive, but modern approximations (e.g., variational inference or last layer inference) make them feasible. Computational costs depend on the problem — sometimes Bayesian models require fewer data points to achieve better performance. The trade-off is between interpretability and computational efficiency, but hardware improvements are helping bridge this gap. Their research on uncertainty-based automated labeling is designed to make models not just safer and more reliable, but also more efficient. By reducing the need for extensive manual labeling, one improves the overall quality of the dataset while cutting down on human effort and potential labeling errors. Importantly, by selecting informative samples, the model learns from better data — which means it can reach higher performance with fewer training examples. This leads to faster training and better generalization without sacrificing accuracy. They also focus on developing lightweight uncertainty estimation techniques that are computationally efficient, so these benefits don't come with heavy resource demands. In short, this approach helps build models that are more robust, more adaptive to new data, and significantly more efficient to train and deploy — which is critical for real-world systems where both accuracy and speed matter. Statisticians and deep learning researchers often use distinct methodologies, vocabulary and frameworks, making communication and collaboration challenging. Unfortunately, there is a lack of Interdisciplinary education: Traditional academic programs rarely integrate both fields. It is necessary to foster joint programs, workshops, and cross-disciplinary training can help bridge this gap. From Moussa's experience coming through an industrial PhD, he has seen how many industry settings tend to prioritize short-term gains — favoring quick wins in deep learning over deeper, more fundamental improvements. To overcome this, we need to build long-term research partnerships between academia and industry — ones that allow for foundational work to evolve alongside practical applications. That kind of collaboration can drive more sustainable, impactful innovation in the long run, something we do at methods for big data. Looking ahead, one of the major directions for deep learning in the next five to ten years is the shift toward trustworthy AI. We're already seeing growing attention on making models more explainable, fair, and robust — especially as AI systems are being deployed in critical areas like healthcare, mobility, and finance. The group also expect to see more hybrid models — combining deep learning with Bayesian methods, physics-based models, or symbolic reasoning. These approaches can help bridge the gap between raw performance and interpretability, and often lead to more data-efficient solutions. Another big trend is the rise of uncertainty-aware AI. As AI moves into more high-risk, real-world applications, it becomes essential that systems understand and communicate their own confidence. This is where uncertainty modeling will play a key role — helping to make AI not just more powerful, but also more safe and reliable. The lecture "Advanced Bayesian Data Analysis" covers fundamental concepts in Bayesian statistics, including parametric and non-parametric regression, computational techniques such as MCMC and variational inference, and Bayesian priors for handling high-dimensional data. Additionally, the lecturers offer a Research Seminar on Selected Topics in Statistical Learning and Data Science. The workgroup offers a variety of Master's thesis topics at the intersection of statistics and deep learning, focusing on Bayesian modeling, uncertainty quantification, and high-dimensional methods. Current topics include predictive information criteria for Bayesian models and uncertainty quantification in deep learning. Topics span theoretical, methodological, computational and applied projects. Students interested in rigorous theoretical and applied research are encouraged to explore our available projects and contact us for further details. The general advice of Nadja and Moussa for everybody interested to enter the field is: "Develop a strong foundation in statistical and mathematical principles, rather than focusing solely on the latest trends. Gain expertise in both theory and practical applications, as real-world impact requires a balance of both. Be open to interdisciplinary collaboration. Some of the most exciting and meaningful innovations happen at the intersection of fields — whether that's statistics and deep learning, or AI and domain-specific areas like medicine or mobility. So don't be afraid to step outside your comfort zone, ask questions across disciplines, and look for ways to connect different perspectives. That's often where real breakthroughs happen. With every new challenge comes an opportunity to innovate, and that's what keeps this work exciting. We're always pushing for more robust, efficient, and trustworthy AI. And we're also growing — so if you're a motivated researcher interested in this space, we'd love to hear from you." Literature and further information Webpage of the group G. Nuti, Lluis A.J. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arxiv Jan 2019 Wikipedia: Expected value of sample information C. Howson & P. Urbach: Scientific Reasoning: The Bayesian Approach (3rd ed.). Open Court Publishing Company. ISBN 978-0-8126-9578-6, 2005. A.Gelman e.a.: Bayesian Data Analysis Third Edition. Chapman and Hall/CRC. ISBN 978-1-4398-4095-5, 2013. Yu, Angela: Introduction to Bayesian Decision Theory cogsci.ucsd.edu, 2013. Devin Soni: Introduction to Bayesian Networks, 2015. G. Nuti, L. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arXiv:1901.03214 stat.ML, 2019. M. Carlan, T. Kneib and N. Klein: Bayesian conditional transformation models, Journal of the American Statistical Association, 119(546):1360-1373, 2024. N. Klein: Distributional regression for data analysis , Annual Review of Statistics and Its Application, 11:321-346, 2024 C.Hoffmann and N.Klein: Marginally calibrated response distributions for end-to-end learning in autonomous driving, Annals of Applied Statistics, 17(2):1740-1763, 2023 Kassem Sbeyti, M., Karg, M., Wirth, C., Klein, N., & Albayrak, S. (2024, September). Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. In Uncertainty in Artificial Intelligence (pp. 1890-1900). PMLR. M. K. Sbeyti, N. Klein, A. Nowzad, F. Sivrikaya and S. Albayrak: Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection pdf. To appear in Transactions on Machine Learning Research, 2025 Podcasts Learning, Teaching, and Building in the Age of AI Ep 42 of Vanishing Gradient, Jan 2025. O. Beige, G. Thäter: Risikoentscheidungsprozesse, Gespräch im Modellansatz Podcast, Folge 193, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2019.

In this episode Gudrun speaks with Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe. Since August 2024, Nadja has been professor at KIT leading the research group Methods for Big Data (MBD) there. She is an Emmy Noether Research Group Leader, and a member of AcademiaNet, and Die Junge Akademie, among others. In 2025, Nadja was awarded the Committee of Presidents of Statistical Societies (COPSS) Emerging Leader Award (ELA). The COPSS ELA recognizes early career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field. She finished her doctoral studies in Mathematics at the Universität Göttingen before conducting a postdoc at the University of Melbourne as a Feodor-Lynen fellow by the Alexander von Humboldt Foundation. Afterwards she was a Professor for Statistics and Data Science at the Humboldt-Universität zu Berlin before joining KIT. Moussa joined Nadja's lab as an associated member in 2023 and later as a postdoctoral researcher in 2024. He pursued a PhD at the TU Berlin while working as an AI Research Scientist at the Continental AI Lab in Berlin. His research primarily focuses on deep learning, developing uncertainty-based automated labeling methods for 2D object detection in autonomous driving. Prior to this, Moussa earned his M.Sc. in Mechatronics Engineering from the TU Darmstadt in 2021. The research of Nadja and Moussa is at the intersection of statistics and machine learning. In Nadja's MBD Lab the research spans theoretical analysis, method development and real-world applications. One of their key focuses is Bayesian methods, which allow to incorporate prior knowledge, quantify uncertainties, and bring insights to the “black boxes” of machine learning. By fusing the precision and reliability of Bayesian statistics with the adaptability of machine and deep learning, these methods aim to leverage the best of both worlds. The KIT offers a strong research environment, making it an ideal place to continue their work. They bring new expertise that can be leveraged in various applications and on the other hand Helmholtz offers a great platform in that respect to explore new application areas. For example Moussa decided to join the group at KIT as part of the Helmholtz Pilot Program Core-Informatics at KIT (KiKIT), which is an initiative focused on advancing fundamental research in informatics within the Helmholtz Association. Vision models typically depend on large volumes of labeled data, but collecting and labeling this data is both expensive and prone to errors. During his PhD, his research centered on data-efficient learning using uncertainty-based automated labeling techniques. That means estimating and using the uncertainty of models to select the helpful data samples to train the models to label the rest themselves. Now, within KiKIT, his work has evolved to include knowledge-based approaches in multi-task models, eg. detection and depth estimation — with the broader goal of enabling the development and deployment of reliable, accurate vision systems in real-world applications. Statistics and data science are fascinating fields, offering a wide variety of methods and applications that constantly lead to new insights. Within this domain, Bayesian methods are especially compelling, as they enable the quantification of uncertainty and the incorporation of prior knowledge. These capabilities contribute to making machine learning models more data-efficient, interpretable, and robust, which are essential qualities in safety-critical domains such as autonomous driving and personalized medicine. Nadja is also enthusiastic about the interdisciplinarity of the subject — repeatedly changing the focus from mathematics to economics to statistics to computer science. The combination of theoretical fundamentals and practical applications makes statistics an agile and important field of research in data science. From a deep learning perspective, the focus is on making models both more efficient and more reliable when dealing with large-scale data and complex dependencies. One way to do this is by reducing the need for extensive labeled data. They also work on developing self-aware models that can recognize when they're unsure and even reject their own predictions when necessary. Additionally, they explore model pruning techniques to improve computational efficiency, and specialize in Bayesian deep learning, allowing machine learning models to better handle uncertainty and complex dependencies. Beyond the methods themselves, they also contribute by publishing datasets that help push the development of next-generation, state-of-the-art models. The learning methods are applied across different domains such as object detection, depth estimation, semantic segmentation, and trajectory prediction — especially in the context of autonomous driving and agricultural applications. As deep learning technologies continue to evolve, they're also expanding into new application areas such as medical imaging. Unlike traditional deep learning, Bayesian deep learning provides uncertainty estimates alongside predictions, allowing for more principled decision-making and reducing catastrophic failures in safety-critical application. It has had a growing impact in several real-world domains where uncertainty really matters. Bayesian learning incorporates prior knowledge and updates beliefs as new data comes in, rather than relying purely on data-driven optimization. In healthcare, for example, Bayesian models help quantify uncertainty in medical diagnoses, which supports more risk-aware treatment decisions and can ultimately lead to better patient outcomes. In autonomous vehicles, Bayesian models play a key role in improving safety. By recognizing when the system is uncertain, they help capture edge cases more effectively, reduce false positives and negatives in object detection, and navigate complex, dynamic environments — like bad weather or unexpected road conditions — more reliably. In finance, Bayesian deep learning enhances both risk assessment and fraud detection by allowing the system to assess how confident it is in its predictions. That added layer of information supports more informed decision-making and helps reduce costly errors. Across all these areas, the key advantage is the ability to move beyond just accuracy and incorporate trust and reliability into AI systems. Bayesian methods are traditionally more expensive, but modern approximations (e.g., variational inference or last layer inference) make them feasible. Computational costs depend on the problem — sometimes Bayesian models require fewer data points to achieve better performance. The trade-off is between interpretability and computational efficiency, but hardware improvements are helping bridge this gap. Their research on uncertainty-based automated labeling is designed to make models not just safer and more reliable, but also more efficient. By reducing the need for extensive manual labeling, one improves the overall quality of the dataset while cutting down on human effort and potential labeling errors. Importantly, by selecting informative samples, the model learns from better data — which means it can reach higher performance with fewer training examples. This leads to faster training and better generalization without sacrificing accuracy. They also focus on developing lightweight uncertainty estimation techniques that are computationally efficient, so these benefits don't come with heavy resource demands. In short, this approach helps build models that are more robust, more adaptive to new data, and significantly more efficient to train and deploy — which is critical for real-world systems where both accuracy and speed matter. Statisticians and deep learning researchers often use distinct methodologies, vocabulary and frameworks, making communication and collaboration challenging. Unfortunately, there is a lack of Interdisciplinary education: Traditional academic programs rarely integrate both fields. It is necessary to foster joint programs, workshops, and cross-disciplinary training can help bridge this gap. From Moussa's experience coming through an industrial PhD, he has seen how many industry settings tend to prioritize short-term gains — favoring quick wins in deep learning over deeper, more fundamental improvements. To overcome this, we need to build long-term research partnerships between academia and industry — ones that allow for foundational work to evolve alongside practical applications. That kind of collaboration can drive more sustainable, impactful innovation in the long run, something we do at methods for big data. Looking ahead, one of the major directions for deep learning in the next five to ten years is the shift toward trustworthy AI. We're already seeing growing attention on making models more explainable, fair, and robust — especially as AI systems are being deployed in critical areas like healthcare, mobility, and finance. The group also expect to see more hybrid models — combining deep learning with Bayesian methods, physics-based models, or symbolic reasoning. These approaches can help bridge the gap between raw performance and interpretability, and often lead to more data-efficient solutions. Another big trend is the rise of uncertainty-aware AI. As AI moves into more high-risk, real-world applications, it becomes essential that systems understand and communicate their own confidence. This is where uncertainty modeling will play a key role — helping to make AI not just more powerful, but also more safe and reliable. The lecture "Advanced Bayesian Data Analysis" covers fundamental concepts in Bayesian statistics, including parametric and non-parametric regression, computational techniques such as MCMC and variational inference, and Bayesian priors for handling high-dimensional data. Additionally, the lecturers offer a Research Seminar on Selected Topics in Statistical Learning and Data Science. The workgroup offers a variety of Master's thesis topics at the intersection of statistics and deep learning, focusing on Bayesian modeling, uncertainty quantification, and high-dimensional methods. Current topics include predictive information criteria for Bayesian models and uncertainty quantification in deep learning. Topics span theoretical, methodological, computational and applied projects. Students interested in rigorous theoretical and applied research are encouraged to explore our available projects and contact us for further details. The general advice of Nadja and Moussa for everybody interested to enter the field is: "Develop a strong foundation in statistical and mathematical principles, rather than focusing solely on the latest trends. Gain expertise in both theory and practical applications, as real-world impact requires a balance of both. Be open to interdisciplinary collaboration. Some of the most exciting and meaningful innovations happen at the intersection of fields — whether that's statistics and deep learning, or AI and domain-specific areas like medicine or mobility. So don't be afraid to step outside your comfort zone, ask questions across disciplines, and look for ways to connect different perspectives. That's often where real breakthroughs happen. With every new challenge comes an opportunity to innovate, and that's what keeps this work exciting. We're always pushing for more robust, efficient, and trustworthy AI. And we're also growing — so if you're a motivated researcher interested in this space, we'd love to hear from you." Literature and further information Webpage of the group G. Nuti, Lluis A.J. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arxiv Jan 2019 Wikipedia: Expected value of sample information C. Howson & P. Urbach: Scientific Reasoning: The Bayesian Approach (3rd ed.). Open Court Publishing Company. ISBN 978-0-8126-9578-6, 2005. A.Gelman e.a.: Bayesian Data Analysis Third Edition. Chapman and Hall/CRC. ISBN 978-1-4398-4095-5, 2013. Yu, Angela: Introduction to Bayesian Decision Theory cogsci.ucsd.edu, 2013. Devin Soni: Introduction to Bayesian Networks, 2015. G. Nuti, L. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arXiv:1901.03214 stat.ML, 2019. M. Carlan, T. Kneib and N. Klein: Bayesian conditional transformation models, Journal of the American Statistical Association, 119(546):1360-1373, 2024. N. Klein: Distributional regression for data analysis , Annual Review of Statistics and Its Application, 11:321-346, 2024 C.Hoffmann and N.Klein: Marginally calibrated response distributions for end-to-end learning in autonomous driving, Annals of Applied Statistics, 17(2):1740-1763, 2023 Kassem Sbeyti, M., Karg, M., Wirth, C., Klein, N., & Albayrak, S. (2024, September). Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. In Uncertainty in Artificial Intelligence (pp. 1890-1900). PMLR. M. K. Sbeyti, N. Klein, A. Nowzad, F. Sivrikaya and S. Albayrak: Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection pdf. To appear in Transactions on Machine Learning Research, 2025 Podcasts Learning, Teaching, and Building in the Age of AI Ep 42 of Vanishing Gradient, Jan 2025. O. Beige, G. Thäter: Risikoentscheidungsprozesse, Gespräch im Modellansatz Podcast, Folge 193, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2019.

Introduction to Masechet Shevuot

Introduction to Masechet Shevuot

►►► Hier zu unserem kostenlosen Beratungsgespräch eintragen: https://www.beauty-business-consulting.de/podcast In Folge zweihunderteinundsiebzig von “Die Beauty Experten” sprechen Anna Franziska Müller-Hoffmann & Maria Strehl über einer der größten Abzocken in der Beauty-Branche derzeit. ►https://www.instagram.com/diebeautyexperten_podcast ► https://www.instagram.com/beautybusinessconsulting/ ► https://www.instagram.com/beauty_franzimh ► https://www.instagram.com/maria_strehl ► https://www.tiktok.com/@beautybusinessconsulting ►https://www.threads.net/@beautybusinessconsulting Viele Berater, Coaches und Agenturen decken mit ihrem Know-How bestenfalls nur Teilbereiche ab oder geben Halbwissen an ihre Kunden weiter, dass in der Praxis schwer umzusetzen ist. Die Kunden haben so nie eine ganzheitliche Sicht auf ihr Unternehmen und blicken in den meisten Fällen durch ein Schlüsselloch. Sie erreichen nie ihr volles Potenzial und vertrauen auf ein Durcheinander aus Tipps, die sie aber persönlich nicht weiterbringen. Maria Strehl und Anna Franziska Müller-Hoffmann von Strehl Müller-Hoffmann Beauty Business Consulting zeigen dir, wie du endlich dein Business auf ein neues Level hebst. Die Kunden mit Social Media Strategien gewinnst, die du wirklich haben möchtest. Als Kosmetikstudio, Beautyinstitut oder Schönheitspraxis kannst du so hochpreisige Leistungen anbieten und deinen Produktverkauf effizienter gestalten. Wie du nicht mehr lange Tage arbeitest um dann nachher festzustellen, dass es sich kaum vom Umsatz lohnt. Als Beautyexperte bekommst du endlich das Image das du dir verdient hast und wirst zu der Person, die du immer sein wolltest. Dir gefällt unser Podcast? Hinterlasse uns doch einfach eine Bewertung und ein kurzes Feedback als Rezension.

Warum ist der Meisterglanz in Leverkusen verblasst? Liegt's am Real-Flirt von Xabi Alonso? War es das Fiasko in Bielefeld? Oder schlicht die Grenzen des Kaders? Dennis Melzer über einen Meister, der zu zerfallen droht.

►►► Hier zu unserem kostenlosen Beratungsgespräch eintragen: https://www.beauty-business-consulting.de/podcast In Folge zweihundertsiebzig von “Die Beauty Experten” spricht Anna Franziska Müller-Hoffmann über den Fall wie es sein kann 30.000 Euro im Monat zu verdienen & keinen Gewinn mit dem eigenen Kosmetikstudio zu erwirtschaften trotz Mitarbeiter. ►https://www.instagram.com/diebeautyexperten_podcast ► https://www.instagram.com/beautybusinessconsulting/ ► https://www.instagram.com/beauty_franzimh ► https://www.instagram.com/maria_strehl ► https://www.tiktok.com/@beautybusinessconsulting ►https://www.threads.net/@beautybusinessconsulting Viele Berater, Coaches und Agenturen decken mit ihrem Know-How bestenfalls nur Teilbereiche ab oder geben Halbwissen an ihre Kunden weiter, dass in der Praxis schwer umzusetzen ist. Die Kunden haben so nie eine ganzheitliche Sicht auf ihr Unternehmen und blicken in den meisten Fällen durch ein Schlüsselloch. Sie erreichen nie ihr volles Potenzial und vertrauen auf ein Durcheinander aus Tipps, die sie aber persönlich nicht weiterbringen. Maria Strehl und Anna Franziska Müller-Hoffmann von Strehl Müller-Hoffmann Beauty Business Consulting zeigen dir, wie du endlich dein Business auf ein neues Level hebst. Die Kunden mit Social Media Strategien gewinnst, die du wirklich haben möchtest. Als Kosmetikstudio, Beautyinstitut oder Schönheitspraxis kannst du so hochpreisige Leistungen anbieten und deinen Produktverkauf effizienter gestalten. Wie du nicht mehr lange Tage arbeitest um dann nachher festzustellen, dass es sich kaum vom Umsatz lohnt. Als Beautyexperte bekommst du endlich das Image das du dir verdient hast und wirst zu der Person, die du immer sein wolltest. Dir gefällt unser Podcast? Hinterlasse uns doch einfach eine Bewertung und ein kurzes Feedback als Rezension.

Nghe trọn nội dung sách nói Truyện Con Chó Berganza trên ứng dụng Voiz FM: https://voiz.vn/play/6656/Berganza là một con chó biết nói (và lại nói rất hay). Nó xuất hiện lần đầu trong truyện Đám Cưới Giả của Miguel de Cervantes, nằm trong bộ mười hai “truyện ngắn” (novella) ông viết trong khoảng thời gian từ 1590 đến 1612.Berganza nói gì?Nó kể với Scipion bạn của nó (cũng là một con chó) về cuộc sống của mình dưới thời những người chủ khác nhau. Dù là đồ tể, cảnh sát, thương gia hay dân Di-gan, mỗi người đều hủ bại không thể cứu vãn. Berganza gay gắt và Scipio chỉ trích, mượn lời 2 con chó, Cervantes phê bình về luân lý ở Tây Ban Nha thế kỷ XVI, đồng thời phác họa bức chân dung bất hủ về trái tim con người.Vì quá thích câu chuyện này, E.T.A. Hoffmann đã viết tiếp nó. Ở đây, ông tìm thấy Berganza ở nước Đức thế kỷ XIX, trong một cuộc tản bộ ban tối xuyên khu rừng Bamberg: lúc này Scipion đã chết, còn Berganza làm một chuyến du hành thời gian để có mặt ở đó lúc đó, chuyện gẫu với Hoffmann.Tất nhiên người hưởng lợi nhiều nhất là độc giả, nhất là khi có thể nối hai câu chuyện ấy lại với nhau. Điều đó được thực hiện (lần đầu tiên) trong cuốn sách này."Tuy tác giả của các câu chuyện đều là những tác giả thuộc vào hàng vĩ đại nhất của lịch sử văn chương thế giới, nhưng ở đây con chó Berganza mới là nhân vật chính."Tại ứng dụng sách nói Voiz FM, sách nói Truyện Con Chó Berganza được đầu tư chất lượng âm thanh và thu âm chuyên nghiệp, tốt nhất để mang lại trải nghiệm nghe tuyệt vời cho bạn. ---Về Voiz FM: Voiz FM là ứng dụng sách nói podcast ra mắt thị trường công nghệ từ năm 2019. Với gần 2000 tựa sách độc quyền, Voiz FM hiện đang là nền tảng sách nói podcast bản quyền hàng đầu Việt Nam. Bạn có thể trải nghiệm miễn phí đa dạng nội dung tại Voiz FM từ sách nói, podcast đến truyện nói, sách tóm tắt và nội dung dành cho thiếu nhi. ---Voiz FM website: https://voiz.vn/ Theo dõi Facebook Voiz FM: https://www.facebook.com/VoizFM Tham khảo thêm các bài viết review, tổng hợp, gợi ý sách để lựa chọn sách nói dễ dàng hơn tại trang Blog Voiz FM: http://blog.voiz.vn/ ---Cảm ơn bạn đã ủng hộ Voiz FM. Nếu bạn yêu thích sách nói Truyện Con Chó Berganza và các nội dung sách nói podcast khác, hãy đăng ký kênh để nhận thông báo về những nội dung mới nhất của Voiz FM channel nhé. Ngoài ra, bạn có thể nghe BẢN FULL ĐỘC QUYỀN hàng chục ngàn nội dung Chất lượng cao khác tại ứng dụng Voiz FM.Tải ứng dụng Voiz FM: voiz.vn/download#voizfm #sáchnói #podcast #sáchnóiTruyệnConChóBerganza #Hoffmann

►https://bodygen.de/ ►https://www.instagram.com/bodygen.official/ ►https://www.facebook.com/Bodygen.GmbH ►https://www.tiktok.com/@bodygenofficial Hier zu unserem kostenlosen Beratungsgespräch: https://www.beauty-business-consulting.de/podcast In Folge zweihundertneunundsechzig von “Die Beauty Experten” spricht Anna Franziska Müller-Hoffmann & CEO Janina Schmidt von BodyGen über das Thema Supplements in der Beauty-Branche was Hautgesundheit & holistische Schönheit angeht. ►https://www.instagram.com/diebeautyexperten_podcast ► https://www.instagram.com/beautybusinessconsulting/ ► https://www.instagram.com/beauty_franzimh ► https://www.instagram.com/maria_strehl ► https://www.tiktok.com/@beautybusinessconsulting Viele Berater, Coaches und Agenturen decken mit ihrem Know-How bestenfalls nur Teilbereiche ab oder geben Halbwissen an ihre Kunden weiter, dass in der Praxis schwer umzusetzen ist. Die Kunden haben so nie eine ganzheitliche Sicht auf ihr Unternehmen und blicken in den meisten Fällen durch ein Schlüsselloch. Sie erreichen nie ihr volles Potenzial und vertrauen auf ein Durcheinander aus Tipps, die sie aber persönlich nicht weiterbringen. Maria Strehl und Anna Franziska Müller-Hoffmann von Strehl Müller-Hoffmann Beauty Business Consulting zeigen dir, wie du endlich dein Business auf ein neues Level hebst. Die Kunden mit Social Media Strategien gewinnst, die du wirklich haben möchtest. Als Kosmetikstudio, Beautyinstitut oder Schönheitspraxis kannst du so hochpreisige Leistungen anbieten und deinen Produktverkauf effizienter gestalten. Wie du nicht mehr lange Tage arbeitest um dann nachher festzustellen, dass es sich kaum vom Umsatz lohnt.

Hosted by Michelle Martin, this episode explores how businesses can redefine prosperity by putting nature on the balance sheet. André Hoffmann, Vice-Chairman of Roche and author of The New Nature of Business, discusses how his father’s conservation legacy shaped his leadership. Learn why he believes the traditional “profit-first” model is broken and how values-based capitalism can be a path forward. Can AI accelerate this transformation—or derail it? And what lessons can Asia draw from Roche’s journey in sustainable healthcare? A powerful conversation on values, legacy, and the future of business. This conversation was taped live at the launch of the book at Insead's Singapore campus.See omnystudio.com/listener for privacy information.

►►► Hier zu unserem kostenlosen Beratungsgespräch eintragen: https://www.beauty-business-consulting.de/podcast In Folge zweihundertachtundsechzig von “Die Beauty Experten” spricht Anna Franziska Müller-Hoffmann über eine aktuelle Diskussion der Regierung, zukünftig bald nur noch Kartenzahlung in Kosmetikstudios zu erlauben? Wir klären auf! Quelle: https://www.tagesschau.de/inland/elektronisches-bezahlen-karte-regierung-102.html ►https://www.instagram.com/diebeautyexperten_podcast ► https://www.instagram.com/beautybusinessconsulting/ ► https://www.instagram.com/beauty_franzimh ► https://www.instagram.com/maria_strehl ► https://www.tiktok.com/@beautybusinessconsulting ►https://www.threads.net/@beautybusinessconsulting Viele Berater, Coaches und Agenturen decken mit ihrem Know-How bestenfalls nur Teilbereiche ab oder geben Halbwissen an ihre Kunden weiter, dass in der Praxis schwer umzusetzen ist. Die Kunden haben so nie eine ganzheitliche Sicht auf ihr Unternehmen und blicken in den meisten Fällen durch ein Schlüsselloch. Sie erreichen nie ihr volles Potenzial und vertrauen auf ein Durcheinander aus Tipps, die sie aber persönlich nicht weiterbringen. Maria Strehl und Anna Franziska Müller-Hoffmann von Strehl Müller-Hoffmann Beauty Business Consulting zeigen dir, wie du endlich dein Business auf ein neues Level hebst. Die Kunden mit Social Media Strategien gewinnst, die du wirklich haben möchtest. Als Kosmetikstudio, Beautyinstitut oder Schönheitspraxis kannst du so hochpreisige Leistungen anbieten und deinen Produktverkauf effizienter gestalten. Wie du nicht mehr lange Tage arbeitest um dann nachher festzustellen, dass es sich kaum vom Umsatz lohnt. Als Beautyexperte bekommst du endlich das Image das du dir verdient hast und wirst zu der Person, die du immer sein wolltest. Dir gefällt unser Podcast? Hinterlasse uns doch einfach eine Bewertung und ein kurzes Feedback als Rezension.

¿Crees que tu cerebro se está oxidando? No estás solo. Pero hay buenas noticias: se puede entrenar. 🧠💪 En este episodio de Pioneros for Life, presentado por Volvo, nos subimos al coche con Catalina Hoffmann, creadora del neurofitness, que nos enseña cómo despertar la mente, mantenerla joven y (sí, también) ser un poco más felices cada día. Charlamos sobre rutinas simples que lo cambian todo, el poder del silencio neuronal, cómo recordar nombres sin pasar vergüenza… y un caso alucinante: un niño con TDAH que hoy lidera su clase gracias a estos métodos. Prepárate para ver tu cabeza como nunca antes: no como una máquina que se desgasta, sino como un músculo que puede volar. O al menos, despegar. Pioneros for Life es un programa de Juanma Ortega, producido por Adio.FM. #neurofitness #cerebroactivo #saludmental #plasticidadcerebral #PionerosForLife

Hoffmann, Jule www.deutschlandfunkkultur.de, Studio 9

►►► Hier zu unserem kostenlosen Beratungsgespräch eintragen: https://www.beauty-business-consulting.de/podcast In Folge zweihundertsiebenundsechzig von “Die Beauty Experten” spricht Anna Franziska Müller-Hoffmann mit Kundin Sandra aus der Schweiz über ihre Erfahrungen, Herausforderungen & Erfolge in unserer gemeinsamen Zusammenarbeit. Mehr Erfahrungsberichte unserer Kunden findest du hier: https://www.youtube.com/watch?v=h1igllaAjU&list=PLmp3wTNz8zMInayu8nj67356kSS7rGrw ►https://www.instagram.com/diebeautyexperten_podcast ► https://www.instagram.com/beautybusinessconsulting/ ► https://www.instagram.com/beauty_franzimh ► https://www.instagram.com/maria_strehl ► https://www.tiktok.com/@beautybusinessconsulting ►https://www.threads.net/@beautybusinessconsulting Viele Berater, Coaches und Agenturen decken mit ihrem Know-How bestenfalls nur Teilbereiche ab oder geben Halbwissen an ihre Kunden weiter, dass in der Praxis schwer umzusetzen ist. Die Kunden haben so nie eine ganzheitliche Sicht auf ihr Unternehmen und blicken in den meisten Fällen durch ein Schlüsselloch. Sie erreichen nie ihr volles Potenzial und vertrauen auf ein Durcheinander aus Tipps, die sie aber persönlich nicht weiterbringen. Maria Strehl und Anna Franziska Müller-Hoffmann von Strehl Müller-Hoffmann Beauty Business Consulting zeigen dir, wie du endlich dein Business auf ein neues Level hebst. Die Kunden mit Social Media Strategien gewinnst, die du wirklich haben möchtest. Als Kosmetikstudio, Beautyinstitut oder Schönheitspraxis kannst du so hochpreisige Leistungen anbieten und deinen Produktverkauf effizienter gestalten. Wie du nicht mehr lange Tage arbeitest um dann nachher festzustellen, dass es sich kaum vom Umsatz lohnt. Als Beautyexperte bekommst du endlich das Image das du dir verdient hast und wirst zu der Person, die du immer sein wolltest. Dir gefällt unser Podcast? Hinterlasse uns doch einfach eine Bewertung und ein kurzes Feedback als Rezension.

Hoffmann, Jule www.deutschlandfunk.de, @mediasres

María José Hoffmann, vicepresidenta de la UDI, acusó en El Primer Café de Cooperativa al Partido Republicano y al Partido Nacional Libertario de impedir "un proceso electoral democrático" tras negarse a competir en una primaria presidencial con Chile Vamos y conformar un pacto propio junto al Partido Social Cristiano. Conduce Cecilia Rovaretti.

►►► Hier zu unserem kostenlosen Beratungsgespräch eintragen: https://www.beauty-business-consulting.de/podcast In Folge zweihundertsechsundsechzig von “Die Beauty Experten” sprechen Anna Franziska Müller-Hoffmann & Maria Strehl über ein großes Problem in der Beauty-Branche wenn man zwar volle Terminkalender hat, richtig viel zu tun hat, teilweise über Monate ausgebucht, ABER einfach zu wenig Umsatz hat. ►https://www.instagram.com/diebeautyexperten_podcast ► https://www.instagram.com/beautybusinessconsulting/ ► https://www.instagram.com/beauty_franzimh ► https://www.instagram.com/maria_strehl ► https://www.tiktok.com/@beautybusinessconsulting ►https://www.threads.net/@beautybusinessconsulting Viele Berater, Coaches und Agenturen decken mit ihrem Know-How bestenfalls nur Teilbereiche ab oder geben Halbwissen an ihre Kunden weiter, dass in der Praxis schwer umzusetzen ist. Die Kunden haben so nie eine ganzheitliche Sicht auf ihr Unternehmen und blicken in den meisten Fällen durch ein Schlüsselloch. Sie erreichen nie ihr volles Potenzial und vertrauen auf ein Durcheinander aus Tipps, die sie aber persönlich nicht weiterbringen. Maria Strehl und Anna Franziska Müller-Hoffmann von Strehl Müller-Hoffmann Beauty Business Consulting zeigen dir, wie du endlich dein Business auf ein neues Level hebst. Die Kunden mit Social Media Strategien gewinnst, die du wirklich haben möchtest. Als Kosmetikstudio, Beautyinstitut oder Schönheitspraxis kannst du so hochpreisige Leistungen anbieten und deinen Produktverkauf effizienter gestalten. Wie du nicht mehr lange Tage arbeitest um dann nachher festzustellen, dass es sich kaum vom Umsatz lohnt. Als Beautyexperte bekommst du endlich das Image das du dir verdient hast und wirst zu der Person, die du immer sein wolltest. Dir gefällt unser Podcast? Hinterlasse uns doch einfach eine Bewertung und ein kurzes Feedback als Rezension.

Hoffmann, Diviam www.deutschlandfunk.de, Corso

►►► Hier zu unserem kostenlosen Beratungsgespräch eintragen: https://www.beauty-business-consulting.de/podcast In Folge zweihundertfünfundsechzig von “Die Beauty Experten” sprechen Anna Franziska Müller-Hoffmann & Maria Strehl, wie es möglich ist in der Beauty-Branche die Schwangerschaft unter einen Hut zu bekommen, gerade wenn man selbstständig ist als Frau. ►https://www.instagram.com/diebeautyexperten_podcast ► https://www.instagram.com/beautybusinessconsulting/ ► https://www.instagram.com/beauty_franzimh ► https://www.instagram.com/maria_strehl ► https://www.tiktok.com/@beautybusinessconsulting ►https://www.threads.net/@beautybusinessconsulting Viele Berater, Coaches und Agenturen decken mit ihrem Know-How bestenfalls nur Teilbereiche ab oder geben Halbwissen an ihre Kunden weiter, dass in der Praxis schwer umzusetzen ist. Die Kunden haben so nie eine ganzheitliche Sicht auf ihr Unternehmen und blicken in den meisten Fällen durch ein Schlüsselloch. Sie erreichen nie ihr volles Potenzial und vertrauen auf ein Durcheinander aus Tipps, die sie aber persönlich nicht weiterbringen. Maria Strehl und Anna Franziska Müller-Hoffmann von Strehl Müller-Hoffmann Beauty Business Consulting zeigen dir, wie du endlich dein Business auf ein neues Level hebst. Die Kunden mit Social Media Strategien gewinnst, die du wirklich haben möchtest. Als Kosmetikstudio, Beautyinstitut oder Schönheitspraxis kannst du so hochpreisige Leistungen anbieten und deinen Produktverkauf effizienter gestalten. Wie du nicht mehr lange Tage arbeitest um dann nachher festzustellen, dass es sich kaum vom Umsatz lohnt. Als Beautyexperte bekommst du endlich das Image das du dir verdient hast und wirst zu der Person, die du immer sein wolltest. Dir gefällt unser Podcast? Hinterlasse uns doch einfach eine Bewertung und ein kurzes Feedback als Rezension.

Introduction to Masechet Makkot

Today's guest is Steffen Hoffmann, Managing Director of Bosch UK. Steffen joins the podcast to discuss how Bosch is leveraging AI across industries, from precision agriculture to HR automation and manufacturing quality control. Throughout our conversation, Hoffmann gives a revealing insight into how Bosch's AI-driven black grass detection system is helping farmers reduce chemical use and lower costs by precisely targeting affected areas. He also explores Bosch's history of deploying AI-driven solutions, from early automotive transmission control systems to smart home appliances that adapt to user behaviors. In manufacturing, Bosch is leveraging AI to enhance quality control, with AI-powered inspection systems identifying defects and optimizing production efficiency. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Introduction to Masechet Makkot

►►► Hier zu unserem kostenlosen Beratungsgespräch eintragen: https://www.beauty-business-consulting.de/podcast In Folge zweihundertvierundsechzig von “Die Beauty Experten” spricht Anna Franziska Müller-Hoffmann mit Kundin Anika über ihre Erfahrungen, Herausforderungen & Erfolge in unserer gemeinsamen Zusammenarbeit. Mehr Erfahrungsberichte unserer Kunden findest du hier: https://www.youtube.com/watch?v=h1igllaAjU&list=PLmp3wTNz8zMInayu8nj67356kSS7rGrw ►https://www.instagram.com/diebeautyexperten_podcast ► https://www.instagram.com/beautybusinessconsulting/ ► https://www.instagram.com/beauty_franzimh ► https://www.instagram.com/maria_strehl ► https://www.tiktok.com/@beautybusinessconsulting ►https://www.threads.net/@beautybusinessconsulting Viele Berater, Coaches und Agenturen decken mit ihrem Know-How bestenfalls nur Teilbereiche ab oder geben Halbwissen an ihre Kunden weiter, dass in der Praxis schwer umzusetzen ist. Die Kunden haben so nie eine ganzheitliche Sicht auf ihr Unternehmen und blicken in den meisten Fällen durch ein Schlüsselloch. Sie erreichen nie ihr volles Potenzial und vertrauen auf ein Durcheinander aus Tipps, die sie aber persönlich nicht weiterbringen. Maria Strehl und Anna Franziska Müller-Hoffmann von Strehl Müller-Hoffmann Beauty Business Consulting zeigen dir, wie du endlich dein Business auf ein neues Level hebst. Die Kunden mit Social Media Strategien gewinnst, die du wirklich haben möchtest. Als Kosmetikstudio, Beautyinstitut oder Schönheitspraxis kannst du so hochpreisige Leistungen anbieten und deinen Produktverkauf effizienter gestalten. Wie du nicht mehr lange Tage arbeitest um dann nachher festzustellen, dass es sich kaum vom Umsatz lohnt. Als Beautyexperte bekommst du endlich das Image das du dir verdient hast und wirst zu der Person, die du immer sein wolltest. Dir gefällt unser Podcast? Hinterlasse uns doch einfach eine Bewertung und ein kurzes Feedback als Rezension.

Kontrovers, unterhaltsam, meinungsbildend – mit Sky90 präsentiert Sky den umfassendsten Fußball-Live-Talk Deutschlands. Immer sonntags ab 18:00 Uhr begrüßt Moderator Patrick Wasserziehr kompetente Gäste im Sky Studio. Die Gäste im Überblick: Holger Sanwald: Vorstandsvorsitzender 1. FC Heidenheim Kai Traemann: Medienberater Torben Hoffmann: Sky Reporter Lothar Matthäus: Sky-Experte und Weltmeister

►►► Hier zu unserem kostenlosen Beratungsgespräch eintragen: https://www.beauty-business-consulting.de/podcast In Folge zweihundertdreiundsechzig von “Die Beauty Experten” spricht Anna Franziska Müller-Hoffmann über einen Fall einen Kosmetikerin die fast ihren kompletten Kundenstamm verloren hat. Wie war das möglich?! ►https://www.instagram.com/diebeautyexperten_podcast ► https://www.instagram.com/beautybusinessconsulting/ ► https://www.instagram.com/beauty_franzimh ► https://www.instagram.com/maria_strehl ► https://www.tiktok.com/@beautybusinessconsulting ►https://www.threads.net/@beautybusinessconsulting Viele Berater, Coaches und Agenturen decken mit ihrem Know-How bestenfalls nur Teilbereiche ab oder geben Halbwissen an ihre Kunden weiter, dass in der Praxis schwer umzusetzen ist. Die Kunden haben so nie eine ganzheitliche Sicht auf ihr Unternehmen und blicken in den meisten Fällen durch ein Schlüsselloch. Sie erreichen nie ihr volles Potenzial und vertrauen auf ein Durcheinander aus Tipps, die sie aber persönlich nicht weiterbringen. Maria Strehl und Anna Franziska Müller-Hoffmann von Strehl Müller-Hoffmann Beauty Business Consulting zeigen dir, wie du endlich dein Business auf ein neues Level hebst. Die Kunden mit Social Media Strategien gewinnst, die du wirklich haben möchtest. Als Kosmetikstudio, Beautyinstitut oder Schönheitspraxis kannst du so hochpreisige Leistungen anbieten und deinen Produktverkauf effizienter gestalten. Wie du nicht mehr lange Tage arbeitest um dann nachher festzustellen, dass es sich kaum vom Umsatz lohnt. Als Beautyexperte bekommst du endlich das Image das du dir verdient hast und wirst zu der Person, die du immer sein wolltest. Dir gefällt unser Podcast? Hinterlasse uns doch einfach eine Bewertung und ein kurzes Feedback als Rezension.

Wat is die verband tussen beheer oor ons lewens, terugstaan en verwondering? Bestuurskonsultant en skrywer Gielie Hoffmann gesels oor uitbranding op ‘n jong ouderdom, ‘n dapper loopbaanskuif, die kerk en geloof, wat ons vashouplek kan gee, groot voete - en of sy nuwe boek hom kwesbaar laat. www.mariettesnyman.co.za · www.gieliehoffmann.co.za · Hierdie episode se potgooi-notas en foto's · www.facebook.com · www.instagram.com · www.linkedin.com

►►► Hier zu unserem kostenlosen Beratungsgespräch eintragen: https://www.beauty-business-consulting.de/podcast In Folge zweihundertzweiundsechzig von “Die Beauty Experten” sprecht Anna Franziska Müller-Hoffmann & Maria Strehl über den Besuch der Beauty Messe in Düsseldorf 2025. Natürlich RealTalk!! Mehr Erfahrungsberichte unserer Kunden findest du hier: https://www.youtube.com/watch?v=h1igllaAjU&list=PLmp3wTNz8zMInayu8nj67356kSS7rGrw ►https://www.instagram.com/diebeautyexperten_podcast ► https://www.instagram.com/beautybusinessconsulting/ ► https://www.instagram.com/beauty_franzimh ► https://www.instagram.com/maria_strehl ► https://www.tiktok.com/@beautybusinessconsulting ►https://www.threads.net/@beautybusinessconsulting Viele Berater, Coaches und Agenturen decken mit ihrem Know-How bestenfalls nur Teilbereiche ab oder geben Halbwissen an ihre Kunden weiter, dass in der Praxis schwer umzusetzen ist. Die Kunden haben so nie eine ganzheitliche Sicht auf ihr Unternehmen und blicken in den meisten Fällen durch ein Schlüsselloch. Sie erreichen nie ihr volles Potenzial und vertrauen auf ein Durcheinander aus Tipps, die sie aber persönlich nicht weiterbringen. Maria Strehl und Anna Franziska Müller-Hoffmann von Strehl Müller-Hoffmann Beauty Business Consulting zeigen dir, wie du endlich dein Business auf ein neues Level hebst. Die Kunden mit Social Media Strategien gewinnst, die du wirklich haben möchtest. Als Kosmetikstudio, Beautyinstitut oder Schönheitspraxis kannst du so hochpreisige Leistungen anbieten und deinen Produktverkauf effizienter gestalten. Wie du nicht mehr lange Tage arbeitest um dann nachher festzustellen, dass es sich kaum vom Umsatz lohnt. Als Beautyexperte bekommst du endlich das Image das du dir verdient hast und wirst zu der Person, die du immer sein wolltest. Dir gefällt unser Podcast? Hinterlasse uns doch einfach eine Bewertung und ein kurzes Feedback als Rezension.

Fue uno de los autores más influyentes de la literatura europea del siglo XIX. E.T.A. Hoffmann publicó numerosos relatos de fantasía y también partituras musicales que han marcado una época y la obra de otros contemporáneos tanto en la literatura como en la inspiración musical. El cronovisor de Jesús Callejo de esta semana va dedicado a él.  Continuamos el programa con Antonio Piñero, coautor junto a José Luis Corral de la novela Herodes el Grande (Ediciones B 2025). En su sección de historia de las palabras José Luis Díaz nos habla del origen y significado de plagio. Y acabamos viajando al reinado de Alfonso XIII y de cómo la Guardia Civil se convirtió en una de las instituciones más afines al monarca. Lo descubrimos junto a Agustín Pulido, historiador, quien acaba de publicar La Guardia Civil en el reinado de Alfonso XIII (2024)

Pocos conocen la amplia labor creativa de este autor alemán en la literatura y la música del siglo XIX. No solamente inspiró música, sino que también la escribió, aunque su fama le viene de la mano de los relatos fantásticos. Hoffmann es el protagonista del cronovisor esta semana con Jesús Callejo

Hoffmann, Felix www.deutschlandfunkkultur.de, Fazit

Primeiro episódio do mês é dia de falar sobre carreira! Hoje, conversamos com Lilian Hoffmann, atual Diretora Executiva de Tecnologia da Informação no Hospital Care, e que teve o início da carreira com uma formação em enfermagem. No papo, falamos sobre processos de tomada de decisão, lições duradouras, e os desafios de escolher a hora certa de dizer "não" ao longo da carreira. Vem ver quem participou desse papo: André David, o host que fica impressionado Marcus Mendes, co-host e uma das vozes da Hipsters Network Lilian Hoffmann, Diretora Executiva de TI no Hospital Care Conheça a Escola de Inovação & Gestão da Alura e inove com soluções de gestão, agilidade e pensamento estratégico TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

Become an Official Member of the Dark Art Society! www.patreon.com/DarkArtSociety This week, I sit down with Atlanta-based artist Miriam Hoffmann for an enlightening interview. We dive into her incredible journey of mastering oil paints in just five years, despite having no prior art experience! We discuss her recent accomplishment of securing representation by Arcadia Gallery, and the role online mentorship has played in her artistic development. We also explore her technique for mixing blacks and other oil painting secrets, and much more! This is an inspiring episode for folks wanting to learn how to paint!! Also, a quick art life update. Miriam's links: Website: https://www.miriamhoffmannart.com/ Instagram: https://www.instagram.com/miriamhoffmann_art/ Tik-Tok: https://www.tiktok.com/@miriam_hoffmann YouTube: https://www.instagram.com/miriamhoffmann_art/ Patreon: https://www.patreon.com/c/miriamhoffmann/home Our sponsors: The Skull Shoppe: https://www.SkullShoppe.com Art n Glow: My affiliate link : https://www.artnglow.refr.cc/chetzar Get 10% off by using code ZAR The Dark Art Society Podcast is produced by Chet Zar. Become an Official Member of the Dark Art Society: https://www.patreon.com/DarkArtSociety Chet's Patreon: https://www.patreon.com/ChetZar The Dark Art Society Instagram: https://www.instagram.com/darkartsociety Official Dark Art Society Website: https://www.darkartsociety.com The Dark Art Society Podcast is now available in a variety of places, including the following platforms: SoundCloud: @darkartsociety iTunes: https://apple.co/2gMNUfM Stitcher: https://www.stitcher.com/s?fid=134626&refid=stpr Podbay: https://podbay.fm/show/1215146981 YouTube: https://www.youtube.com/channel/UCrQBJayd-dfarbUOFS5m7hQ https://DarkArtSociety.com Copyright Chet Zar LLC 2025