JuliaCon 2025’s Post

Do you know how to detect changes in videos or trajectories? The techniques to do so are key to unravel biological function and understanding crucial cellular processes🔬. With the blooming of machine learning techniques, there is an opportunity to push the boundaries of what is possible in the characterization of single-particle motion. For this, I invite you to leverage the power of computational techniques to detect and quantify changes in single-particle motion in heterogeneous environments and win the 🌟 2nd Anomalous Diffusion (AnDi) Challenge! The challenge is a fantastic opportunity for you to tackle real-world complexity and contribute to a greater understanding of the microscopic world. 🌐 Whether you're a diffusion practitioner, machine learning developer, microscopy expert, seasoned researcher, or curious newcomer, your perspective is valuable. 🥳 We are already more than 50 participants and the leaderboard is heating up! ⚔️ Together, we will build an objective comparison of methods to analyze single-particle motion. Imagine the impact you could have by contributing your expertise to this groundbreaking challenge. Dive into the details, datasets, and resources on the challenge website: https://lnkd.in/d86jT586 I am participating in the 2nd AnDi Challenge, and you? The challenge is designed to be accessible to anyone with an interest in time series analysis, machine learning, microscopy, or related fields. So, go now to the competition webpage, register, and form your team: https://lnkd.in/dy9FJc4D Let's make a lasting impact on the scientific community! 🌟 #AnDiChallenge #AnomalousDiffusion #AI4Science #ScienceChallenge #Microscopy #SingleParticleTracking #Tracking #DataScience #MachineLearning #HeterogeneousEnvironments #ComputationalTechniques #ScientificCommunity

It was great to initiate the "Loomery Lab" a home for all our experiments and prototypes using emerging tech like GenAI and Spatial computing and to finally push it live! 🤓🤖 My vision for the Lab is (pun not intended!): * Emphasis on _show_ rather than tell, as opposed to a more regular text-heavy blog * One stop shop to see all our prototypes and learn about our approach to building proof of concepts * Leaves a deep impression on the reader right when they land, with heavy use of images * Longer shelf life than a social media post, so nothings lost to time * A platform for engineering discovery, for external engineers and potential new clients * Easier to sell technical ideas to potential clients - educating clients on what is possible with third era tech, and a display of how serious we are about rapid experimentation * Next best thing after an in-person demo day, gives the reader a strong idea of what the tech is and its use case in as little time as possible * Highly sharable content * Aid with engineering hires, display of our engineering "culture" * Embeds us deeper within the engineering community - we can also push open source software * A demo of our in-house talent for prospective clients * A showcase for great design and engineering in and of itself Big thanks to Katy O'Kelly and Harry Brailey who helped design it 🎨 and to Charlotte Mill-Tucker for helping vet the content 🫡 Go and check it out, and watch this space as there is more to come! https://lab.loomery.com/ #visionOS #swiftlang #iosdev #genai #ai

We are showcasing a number of use cases with an LLM next week in London, which can be easily integrated into existing workflows. Think text extraction, classification tasks. Now for a preview of one such use case of an LLM that shows how you can easily have keywords and a summary generated. This is a preview in the AWS Bedrock playground Partyrock:  https://lnkd.in/eFk6ueB8 Meet me and Yuri Vorontsov  in London at the STM Innovation Fair next week to learn more!

DeSci moves promising research from academia to the lab in weeks rather than years. This is what accelerated science looks like 🧪 Watch the full talk: https://lnkd.in/dYaK7Zez Learn more about @vita_dao backed VitaFAST: https://www.vitafast.xyz/

The Cognitive Artificial Intelligence and Robotics (CAIR) research group is a newly formed group (as of January 2024), and the result of merging the Socially-Competent Robotic and Agent Technologies (SCRAT) and the Learning Agents and Robots (LEAR) research groups. CAIR conducts basic and applied research on artificial intelligence (AI) and robotics with a focus on developing software agents and robots that populate (along with other agents, robots, or humans) open-ended, dynamic, and uncertain environments, perceive the world through multiple modalities, autonomously or interactively learn predictive models, accumulate skills over their lifetime, reason and plan in an adaptive fashion that is explainable and aligned with human cognitive abilities. Key areas include: -machine learning (brain-inspired, reinforcement, deep, continual, evolutionary), -generative AI (language models, text-to-image models, vision-language-action models), -cognitive assistants (neural-symbolic integration, knowledge representation, reasoning), -robotics (perception, learning, navigation, locomotion, planning, manipulation). CAIR team leaders, Prof. Loizos Michael, and Dr. Vassilis Vassiliades. https://lnkd.in/dbS_MWNg

Meet one of our new faculty, Liyue Shen, assistant professor of ECE at the University of Michigan College of Engineering Her research interest is in Biomedical AI, which lies in the interdisciplinary areas of machine learning, computer vision, signal and image processing, medical image analysis, biomedical imaging, and data science. 🎥 Learn more in the new faculty video: https://bit.ly/3SRnUz9 #BiomedicalAI #DataScience #ECE #GoBlue

Our Neuroinformatics Unit (NIU) operates on a shared belief that helping science inch toward a better experience for all is a worthy mission. "There is no reason why the tools we build should stay private within the institute, particularly because everything we do leverages a rich ecosystem of other open source software," shares Head of the NIU Adam Tyson. Read the full story of how the team of research software engineers build tools that improve data organisation, refine analysis pipelines, and more: https://lnkd.in/erZSAEUr #OpenScience

Thank you to the Falling Walls Foundation for the opportunity to participate in the 2024 Falling Walls Science Summit and discuss HPC and AI Solutions: A Collective International Effort with esteemed colleagues. As I shared during the panel, Argonne joins other organizations in working towards harnessing the transformative power of supercomputing and artificial intelligence across four key areas: data curation, hardware, large language models, and developing applications at scale. This is an exciting time for government, academia, and industry to collaborate and make meaningful progress in applying these innovations. The potential impact is immense, and I’m proud of the role Argonne plays in advancing this critical work. To see the full panel discussion, click here: https://lnkd.in/gPbH9s3N

A good day to introduce yet another portfolio company of ours – and its a fascinating one this time around! 🤩 Algorithmiq harnesses quantum computers to solve previously insurmountable challenges in the field of health & life sciences. The company envisions a world where quantum computing enables faster and more cost-effective development of medicines. As Algorithmiq aligns with Tesi’s investment focus by operating on the intersection of deep tech and health & life sciences, Tesi invested in the company in summer 2023 as one of the new investors in its growth funding round of EUR 14 million. Read more about the company and its technology in the short case article below! 👇 Thank you, Sabrina Maniscalco, for contributing! 🤝 #VentureCapital #GrowthFunding #HealthandLifeSciences #Deeptech #QuantumComputing

Tesi highlighted 8 notable Finnish deep tech funding rounds so far in 2024 – and half of them are by our amazing spin-offs! 🎉 Here come the numbers: 💰 Onego Bio: €37.4M (later stage) 💰 Enifer: €36M (later stage) 💰 Steady Energy: €10M (early stage) 💰 Flow Computing: €4M (early stage) Talk about leading the pack! Tesi's report: https://lnkd.in/dcU9UMNy