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Join our virtual meetup to hear talks from experts on cutting-edge topics across Visual AI for Physical AI use cases.

Date, Time and Location

Dec 11, 2025 9:00-11:00 AM Pacific Online. Register for the Zoom!

From Data to Open-World Autonomous Driving

Data is key for advances in machine learning, including mobile applications like robots and autonomous cars. To ensure reliable operation, occurring scenarios must be reflected by the underlying dataset. Since the open-world environments can contain unknown scenarios and novel objects, active learning from online data collection and handling of unknowns is required. In this talk we discuss different approach to address this real world requirements.

About the Speaker

Sebastian Schmidt is a PhD student at the Data Analytics and Machine Learning group at TU Munich and part of an Industrial PhD Program with the BMW research group. His work is mainly focused on Open-world active learning and perception for autonomous vehicles.

From Raw Sensor Data to Reliable Datasets: Physical AI in Practice

Modern mobility systems rely on massive, high-quality multimodal datasets — yet real-world data is messy. Misaligned sensors, inconsistent metadata, and uneven scenario coverage can slow development and lead to costly model failures. The Physical AI Workbench, built in collaboration between Voxel51 and NVIDIA, provides an automated and scalable pipeline for auditing, reconstructing, and enriching autonomous driving datasets.

In this talk, we’ll show how FiftyOne serves as the central interface for inspecting and validating sensor alignment, scene structure, and scenario diversity, while NVIDIA Neural Reconstruction (NuRec) enables physics-aware reconstruction directly from real-world captures. We’ll highlight how these capabilities support automated dataset quality checks, reduce manual review overhead, and streamline the creation of richer datasets for model training and evaluation.

Attendees will gain insight into how Physical AI workflows help mobility teams scale, improve dataset reliability, and accelerate iteration from data capture to model deployment — without rewriting their infrastructure.

About the Speaker

Daniel Gural leads technical partnerships at Voxel51, where he’s building the Physical AI Workbench, a platform that connects real-world sensor data with realistic simulation to help engineers better understand, validate, and improve their perception systems. With a background in developer relations and computer vision engineering,

Building Smarter AV Simulation with Neural Reconstruction and World Models

This talk explores how neural reconstruction and world models are coming together to create richer, more dynamic simulation for scalable autonomous vehicle development. We’ll look at the latest releases in 3D Gaussian splatting techniques and world reasoning and generation, as well as discuss how these technologies are advancing the deployment of autonomous driving stacks that can generalize to any environment. We’ll also cover NVIDIA open models, frameworks, and data to help kickstart your own development pipelines.

About the Speaker

Katie Washabaugh is NVIDIA’s Product Marketing Manager for Autonomous Vehicle Simulation, focusing on virtual solutions for real world mobility. A former journalist at publications such as Automotive News and MarketWatch, she joined the NVIDIA team in 2018 as Automotive Content Marketing Manager. Katie holds a B.A. in public policy from the University of Michigan and lives in Detroit.

Relevance of Classical Algorithms in Modern Autonomous Driving Architectures

While modern autonomous driving systems increasingly rely on machine learning and deep neural networks, classical algorithms continue to play a foundational role in ensuring reliability, interpretability, and real-time performance. Techniques such as Kalman filtering, A* path planning, PID control, and SLAM remain integral to perception, localization, and decision-making modules. Their deterministic nature and lower computational overhead make them especially valuable in safety-critical scenarios and resource-constrained environments. This talk explores the enduring relevance of classical algorithms, their integration with learning-based methods, and their evolving scope in the context of next-generation autonomous vehicle architectures.

Prajwal Chinthoju is an Autonomous Driving Feature Development Engineer with a strong foundation in systems engineering, optimization, and intelligent mobility. I specialize in integrating classical algorithms with modern AI techniques to enhance perception, planning, and control in autonomous vehicle platforms.

Recent breakthroughs in large language model-based artificial intelligence (AI) have captured the public’s interest in AI more broadly. With the growing adoption of these technologies in professional and educational settings, public dialog about their potential impacts on the workforce has been ubiquitous. It is, however, difficult to separate the public dialog about the potential impact of the technology from the experienced impact of the technology in the research software engineer and data science workplace. Likewise, it is challenging to separate the generalized anxiety about AI from its specific impacts on individuals working in specialized work settings.

As research software engineers (RSEs) and those in adjacent computational fields engage with AI in the workplace, the realities of the impacts of this technology are becoming clearer. However, much of the dialog has been limited to high-level discussion around general intra-institutional impacts, and lacks the nuance required to provide helpful guidance to RSE practitioners in research settings, specifically. Surprisingly, many RSEs are not involved in career discussions on what the rise of AI means for their professions.

During this BoF, we will hold a structured, interactive discussion session with the goal of identifying critical areas of engagement with AI in the workplace including: current use of AI, AI assistance and automation, AI skills and workforce development, AI and open science, and AI futures. This BoF will represent the first of a series of discussions held jointly by the Academic Data Science Alliance and the US Research Software Engineer Association over the coming year, with support from Schmidt Sciences. The insights gathered from these sessions will inform the development of guidance resources on these topic areas for the broader RSE and computational data practitioner communities.

Kicking off the year with our first meetup, we are continuing the tradition of showcasing real-world serverless ML projects built by KTH students!

From forecasting cross-border energy flows to predicting transit delays with live weather data, these projects highlight how fully serverless ML systems can tackle real-world challenges.

Agenda:

17:30 - 18:00: Doors open 18:00 - 18:20: Welcome - Intro 18:20 - 18:35: E-FlowCast – Forecasting Cross-Border Energy with Serverless ML 18:35 - 18:50: Real-time weather-based transit delay forecasting 18:50 - 19:20: Pizza & Beers 19:20 - 19:35: The Ultimate 1Million Movies Dataset 19:35 - 19:55: JobsAI 19:55 - 20:30: Networking

– Introduction Fabian Schmidt, PhD Student, KTH

Fabian is working on the ALEC2 project under the supervision of Professor Vladimir Vlassov and Associate Professor Amir Hossein Payberah at KTH Royal Institute of Technology.

Presentations:

E-FlowCast – Forecasting Cross-Border Energy with Serverless ML Rosamelia Carioni - KTH Student Eric Banzuzi - KTH Student

How do you build a serverless ML system that predicts real-time electricity flows? The energy grid is one of the world's most complex and volatile systems. Prices fluctuate, demand spikes and renewable sources make forecasting difficult. To stay ahead, traders, operators, and policymakers need reliable predictions. E-FlowCast is a serverless ML system designed to address one area of this challenge, providing real-time electricity flow predictions for the next 24 hours.

Speakers Bio: Rosamelia is a final-year master’s student in Machine Learning at KTH. She has a BSc in Data Science and AI from Maastricht University. Through research and internships, she has worked on predicting donor churn, building an NLP-to-SQL chatbot to improve data accessibility, developing an energy-weather visualization tool for real-time trading insights, and enhancing gunshot detection for wildlife conservation.

Eric is a final-year master's student in Machine Learning at KTH, with interests and skills in ML, data engineering, and software development. Prior to KTH, he completed a BSc in Data Science and AI at Maastricht University in 2023.

Real-time weather-based transit delay forecasting Paul Hübner - KTH Student Jonas Müller - KTH Student

When snow falls, there are often drastic consequences for the public. Public transportation of all types experiences sudden large delays, leading to people being stuck waiting at stops and missing transfers. By taking local weather forecasts into account, such travel delays could be predicted in real-time. Based on historical and live transit delay data from Gävleborg County as well as Open-Meteo forecasts, we present a real-time serverless delay forecasting dashboard powered by machine learning.

Speakers Bio: Paul studied Computer Science & Engineering at TU Delft, specializing in the Machine Learning and Data Science track. He is pursuing further studies in Software Engineering of Distributed Systems at KTH.

Jonas is pursuing a Master’s in Software Engineering of Distributed Systems at KTH, where he is currently researching conflict-free replicated data types in the context of edge computing for his thesis.

The Ultimate 1Million Movies Dataset Martín Bravo - KTH Student

This serverless ML system predicts IMDb ratings using a dynamic Kaggle dataset. It features four automated pipelines: historical data backfilling, daily feature updates, model training, and inference for new movies. A user-friendly interface allows users to explore movies, view predicted ratings, and compare them with actual IMDb scores.

Speaker Bio: Martín is a Computer Science and Engineering student from Chile, currently an exchange student at KTH Royal Institute of Technology in Stockholm. He has worked with the National Center for Artificial Intelligence and SoyMomo in Chile and is currently interning at Hopsworks as a Machine Learning Engineer, focusing on LLMs and ML pipelines.

JobsAI Kolumbus Lindh - KTH Student

Finding the right job among thousands of listings can be overwhelming. JobsAI streamlines this process using vector embeddings and similarity search to match users’ resumes with the most relevant job postings. By leveraging Natural Language Processing (NLP) and machine learning, the platform eliminates inefficiencies associated with traditional job search methods. JobsAI retrieves job listings via Arbetsförmedlingen’s JobStream API and processes user-uploaded resumes to calculate compatibility scores.

Speaker Bio: Kolumbus is a master's student in Industrial Engineering and Management at KTH, specializing in Machine Learning. With a background in AI consulting and software development, he enjoys finding practical ways to integrate AI into businesses. –

About the event

Date: February 27th, 17:30 - 20:30 Location: Hopsworks Office (Åsögatan 119, Plan 2, 116 24 Stockholm) The venue hosting us is the Hopsworks Office. As the office is sometimes difficult to locate we have made this map for everyone to follow. Directions: 2-minute walk from Medborgarplatsen. Tickets: Sign up required. Anyone who is not on the list will not get in. The event is free of charge. Capacity: Space is limited to 60 participants. If you are signed up but unable to attend, please change your RSVP by February 26th. Food and drinks: Food and drinks will be provided. Questions: Please contact the meetup organizers.

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Code of Conduct The NumFOCUS Code of Conduct applies to this event; please familiarize yourself with it before attending. If you have any questions or concerns regarding the Code of Conduct, please contact the organizers.

This event provides individual career advice and offers and opportunity to ask any questions in 1 on 1 sessions with professionals. If you are a beginner or someone who wants to grow in their role, you might find the right mentor to get some bite-sized advice to help you towards your goals.

✍️ Event description This Speed Mentoring event is inspired by Speed Dating: Career advice and mentorship, but without any commitment. The mentors offer multiple limited time windows for 1 on 1 conversations with mentees. The mentees get to ask any questions regarding their professional growth.

The event shall provide a safe space for people getting into the industry or trying to improve their careers where they can ask any questions and get support.

This event does not promise a long-term mentoring relationship. Any relationship beyond this evening is up to the individuals.

And while you wait for your mentoring slot, join a group discussion on tech, career or personal growth topics!

🏢 Location We are kindly hosted by Deloitte and there will be snacks and drinks available.

⏰ Agenda 18:30 Doors open + sign up for one or more mentoring slots 19:00 Intro and welcome 19:10 Mentoring & discussion rounds start 20:40 Sessions end

🗣 Mentors

Camila Coello Merino - Frontend developer & accessibility expert Olivia Maly - Team Lead & Data scientist Dr. Florian Schmidt - IT Architect Vardan Torosyan - Senior Engineering Manager Anna Honchar - Senior Software Tester Durdona Juraeva - Frontend developer & AI enthusiast Meike Pollakowski - Senior Software Engineer Zahra Beigi - Senior Product Designer Leonor Oliveira - Backend / Platform engineer Alcione Ribeiro - Junior frontend engineer & Youtuber John Ford - Lead Platform engineer Rachel Sleet - Senior Software Engineer Anzhelika Kurbatova - Manager Nurgun Rafizade: Solution Engineer/Consultant

🏢 About Deloitte Deloitte, renowned for its innovation and commitment to diversity, invites professionals and graduates to an exclusive networking event hosted by its Cloud Transformation and Systems Engineering department. Whether it's strategy formulation or hands-on implementation, Deloitte offers a platform to explore the forefront of business and technology innovation while fostering valuable connections and mentorship opportunities. The event also introduces Deloitte's DiveIn Trainee Program, offering graduates a 5-month opportunity to dive into Cloud & Data and Consulting topics, alongside earning certifications from leading cloud hyperscalers.

👋 About Us Stay in touch with the community! Join our Slack: https://bit.ly/WomenCodersBerlinSlack We are a local community dedicated to empowering diverse women to excel in technology career. Our events offer study groups, technical workshops, hackathons, networking events, panel discussions, lightning talks, and social events. We help you build the skills you need to raise your professional profile and achieve greater career success.

💗 Code of Conduct We are dedicated to providing a safe and welcoming experience for everyone who participates in our events. Our events aim to empower diverse women and we welcome everyone who identifies as a woman or another underrepresented group in tech or an ally. We follow the Berlin Code of Conduct for our events: https://berlincodeofconduct.org/

📸 Media Consent We may be taking photos of this event for social media posts. If you do not want to be photographed, please let the organizers at the event know. We will make sure to respect your privacy.

Details

DON'T MISS DSC'S COLLIDE DATA CONFERENCE ON OCTOBER 3-4 IN ATLANTA! REGISTER HERE WITH DSATL'S VIP PROMO CODE Get ready to witness the collision of data and industry at Data Science Connect's COLLIDE Data Science Conference IN-PERSON on October 3-4, 2023 in Atlanta, Georgia. This event will showcase the latest trends and advancements in data-driven decision making and how it is revolutionizing every industry. As the field of data science continues to rapidly evolve, COLLIDE will offer insights into how data is transforming the way businesses operate and make decisions. Attendees will hear from leading experts in the field and have the opportunity to engage in lively discussions and networking opportunities. Join us at COLLIDE and discover how the collision of data and industry is shaping our present and revolutionizing our future. Get ready to COLLIDE with the future of data-driven industry!

AGENDA CONFERENCE PRESENTATIONS, INDUSTRY PANELS, AND HANDS-ON WORKSHOPS DAY 1 - Wednesday, October 3 from 9AM - 5PM EST DAY 2 - Thursday, October 4 from 9AM - 5PM EST 2023 SPEAKERS TO BE ANNOUNCED PAST DSC SPEAKERS INCLUDE: Melvin Greer\, PhD \| Chief Data Scientist @ Intel 🖥️ Juan Gorricho \| Former Chief Data Officer @ Visa 💳 Lo Li \| CTO @ Spanx 👠 Inderpal Bhandari\, PhD \| Global Chief Data Officer @ IBM 👩🏽‍💻 Charles Duze \| Analytics Leadership @ Meta 🌐 Eric Schmidt \| Global Director - Data & Advanced Analytics @ The Coca-Cola Company 🥤 Sol Rashidi \| Chief Analytics Officer @ Estee Lauder 💄 Ben Dundee \| Lead Director Data Science and Experimentation @ CVS Health ⚕️ Hua Ai \| General Manager Predictive Modeling @ Delta ✈️ Bharath Varma Sagi \| Senior Data Scientist @ Starbucks 🍵 Anshul Agarwal \| Director of Decision Science @ The Walt Disney Company 🎥 Francisco Rius \| Head of Data Science @ Minecraft ⛏️ Doug Wynne \| Director of Strategic Analytics @ Comcast 📡 Faizan Javed \| Senior Director of Data Science & Engineering @ Kaiser Permanente 🏥 Leondra Gonzalez \| Senior Data & Applied Scientist @ Microsoft 🧑‍💻 Meet Patel \| Senior Director\, Global Advanced Analytics @ Kellogg Company 🥣 Nechama Katan \| Director of Data Science @ Pfizer 💊 Bill Franks \| Director\, Center for Data Science and Analytics @ KSU🎓 Joel Amick CISSP\, MBA\, MSIT \| Director\, Cyber Automation\, Analytics & Data Science @ TIAA 📈 Selma Dogic \| Sr. Manager\, Analytics COE @ Carter's 👶

This talk was recorded at Crunch Conference 2022. Zoltán and Gergely from Aliz.ai company spoke about FinOps examples using Google Cloud BigQuery.

"In this talk we will talk about the basics of FinOps concept and going to make an introduction to it through real life examples using BigQuery."

The event was organized by Crafthub.

You can watch the rest of the conference talks on our channel.

If you are interested in more speakers, tickets and details of the conference, check out our website: https://crunchconf.com/ If you are interested in more events from our company: https://crafthub.events/

Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2023071109

Description: Join us for a half-day event featuring top AI/Ml influencers and leaders in the industry. The central focus will be generative AI. We will feature discussions on building your own custom LLMs, building simple AI agents, and the future of generative AI.

Previously we have had Silicon Valley legends such as Eric Schmidt, Peter Norvig, Pieter Abbeel, & Alon Halevy deliver riveting fireside chats about AI, deep learning, and more. We will slowly reveal more about our exciting guests joining us in the coming weeks.

Visit the event website for updated speakers, agenda and RSVP: https://www.aicamp.ai/event/eventdetails/W2023071109

Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2023071109

Description: Join us for a half-day event featuring top AI/Ml influencers and leaders in the industry. The central focus will be generative AI. We will feature discussions on building your own custom LLMs, building simple AI agents, and the future of generative AI.

Previously we have had Silicon Valley legends such as Eric Schmidt, Peter Norvig, Pieter Abbeel, & Alon Halevy deliver riveting fireside chats about AI, deep learning, and more. We will slowly reveal more about our exciting guests joining us in the coming weeks.

Visit the event website for updated speakers, agenda and RSVP: https://www.aicamp.ai/event/eventdetails/W2023071109

This book serves as an accessible and comprehensive introduction to GNU Octave, a high-level programming environment widely used for numerical computing. It guides readers through essential concepts and core functionalities, from basic vector and matrix operations to more advanced topics like creating customized toolboxes and integrating with C code. With practical examples and exercises, this guide enables users to harness Octave effectively for diverse scientific applications. What this Book will help me do Understand and utilize GNU Octave's syntax and core concepts. Perform data analysis operations on vectors and matrices efficiently. Write and debug Octave scripts to automate computational tasks. Create and implement customized functions and an Octave toolbox. Optimize and integrate Octave code with external libraries for more challenging computations. Author(s) Jesper Schmidt Hansen is an experienced educator and practitioner in numerical methods and computational tools. With a strong background in applying software to solve real-world scientific problems, Hansen brings practical insights to this guide. His clear teaching style ensures concepts are accessible and applicable, making complex topics approachable for beginners. Who is it for? This book is ideal for students, engineers, scientists, and professionals interested in learning GNU Octave for scientific computing. Beginners with basic mathematics knowledge will find the content approachable, while programmers seeking an alternative tool for numerical tasks can benefit too. Anyone eager to handle data processing with Octave will find this a helpful resource.