Giovanni Volpe awarded the prestigious Göran Gustafsson Prize

Home Publications Investors News Get Started Giovanni Volpe awarded the prestigious Göran Gustafsson Prize Professor Giovanni Volpe, co-founder of IFLAI and CTO, has been honored with the prestigious Göran Gustafsson Award. This accolade is one of Sweden’s most esteemed recognitions in the field of science and engineering, awarded annually to individuals who have made significant contributions to their respective fields. The Göran Gustafsson Foundation, established to support scientific research and education in Sweden, grants these awards in various categories including natural sciences and medicine. Read more Recent Posts March 1, 2024 Giovanni Volpe awarded the prestigious Göran Gustafsson Prize November 25, 2023 IFLAI’s Chief AI Engineer spearheads AI dialogue at Future Impact Summit 2023 September 18, 2023 Giovanni Volpe awarded the Faculty of Science’s 2023 Research Award April 5, 2023 IFLAI participates in GAIA Conference 2024, sharing the stage with global AI leaders February 20, 2023 Giovanni Volpe Shares Machine Learning Expertise at ICFO January 24, 2023 IFLAI has been awarded the prestigious ERC Proof of Concept Grant Publications Investors News Contact Us AddressHasselvägen 85, Mölnlycke Emailcontact@iflai.com Get Connected

Neural network enabled nanoplasmonic hydrogen sensors with 100 ppm limit of detection in humid air

Home Publications Investors News Get Started Neural network enabled nanoplasmonic hydrogen sensors with 100 ppm limit of detection in humid air David Tomeček, Henrik Klein Moberg, Sara Nilsson, Athanasios Theodoridis, Iwan Darmadi, Daniel Midtvedt, Giovanni Volpe, Olof Andersson & Christoph Langhammer Nature Communications (2024)   Abstract Environmental humidity variations are ubiquitous and high humidity characterizes fuel cell and electrolyzer operation conditions. Since hydrogen-air mixtures are highly flammable, humidity tolerant H2 sensors are important from safety and process monitoring perspectives. Here, we report an optical nanoplasmonic hydrogen sensor operated at elevated temperature that combined with Deep Dense Neural Network or Transformer data treatment involving the entire spectral response of the sensor enables a 100 ppm H2 limit of detection in synthetic air at 80% relative humidity. This significantly exceeds the <1000 ppm US Department of Energy performance target. Furthermore, the sensors pass the ISO 26142:2010 stability requirement in 80% relative humidity in air down to 0.06% H2 and show no signs of performance loss after 140 h continuous operation. Our results thus demonstrate the potential of plasmonic hydrogen sensors for use in high humidity and how neural-network-based data treatment can significantly boost their performance. View publication Publications Investors News Contact Us AddressHasselvägen 85, Mölnlycke Emailcontact@iflai.com Get Connected

IFLAI’s Chief AI Engineer spearheads AI dialogue at Future Impact Summit 2023

Home Publications Investors News Get Started IFLAI’s Chief AI Engineer spearheads AI dialogue at Future Impact Summit 2023 In a significant moment for the tech and AI community, IFLAI marked its presence at the Future Impact Summit 2023. Our Chief AI Engineer, Benjamin Midvedt, took the stage as an invited speaker, delving into the intricacies of synthetic data, active learning, and the pivotal role of a robust AI strategy in today’s digital landscape. His presentation not only highlighted IFLAI’s cutting-edge approaches to AI development but also underscored the company’s commitment to pushing the boundaries of technology for societal betterment. The audience at the Future Impact Summit, comprising industry experts, innovators, and thought leaders, was captivated by Midvedt’s insights and the practical applications of IFLAI’s research and development efforts. The event served as a perfect platform for IFLAI to showcase its expertise and contributions to the AI field, reinforcing its position as a key player in shaping the future of technology and its impact on the world. Read more Recent Posts November 25, 2023 IFLAI’s Chief AI Engineer spearheads AI dialogue at Future Impact Summit 2023 September 18, 2023 Giovanni Volpe awarded the Faculty of Science’s 2023 Research Award April 5, 2023 IFLAI participates in GAIA Conference 2024, sharing the stage with global AI leaders February 20, 2023 Giovanni Volpe Shares Machine Learning Expertise at ICFO January 24, 2023 IFLAI has been awarded the prestigious ERC Proof of Concept Grant Publications Investors News Contact Us AddressHasselvägen 85, Mölnlycke Emailcontact@iflai.com Get Connected

Giovanni Volpe awarded the Faculty of Science’s 2023 Research Award

Home Publications Investors News Get Started Giovanni Volpe awarded the Faculty of Science’s 2023 Research Award The Faculty of Science’s 2023 Research Award is being given to Giovanni Volpe at the Department of Physics. He is receiving the award for using methods from physics like microskopical spectroscopy and machine learning to look into complex and biological systems.   Award motivation Giovanni Volpe is a world-leading researcher in the fields of microscopy and spectroscopy of living systems, artificial living matter and in machine-learning algorithms to analyse complex and biological systems. It’s in the latter area Giovanni realized an enormous untapped potential of these methods to be applied for the characterization of the broadest scope of living biological systems studied across the Faculty of Science and other faculties at the University of Gothenburg.   He is also a highly regarded mentor and educator of the next generation of researchers, is active in shaping the policies of the graduate education at large and is active in communicating his research to the public as well as spinning it off commercially. He inspires the people around him, always striving to lift his research environment to the highest international level. Read more Recent Posts November 25, 2023 IFLAI’s Chief AI Engineer spearheads AI dialogue at Future Impact Summit 2023 September 18, 2023 Giovanni Volpe awarded the Faculty of Science’s 2023 Research Award April 5, 2023 IFLAI participates in GAIA Conference 2024, sharing the stage with global AI leaders February 20, 2023 Giovanni Volpe Shares Machine Learning Expertise at ICFO January 24, 2023 IFLAI has been awarded the prestigious ERC Proof of Concept Grant October 7, 2022 Kommentar på Clines Scientifics inledda samarbete med IFLAI gällande utveckling av AI-mjukvara för CellRace-projektet Publications Investors News Contact Us AddressHasselvägen 85, Mölnlycke Emailcontact@iflai.com Get Connected

IFLAI participates in GAIA Conference 2024, sharing the stage with global AI leaders

Home Publications Investors News Get Started IFLAI participates in GAIA Conference 2024, sharing the stage with global AI leaders IFLAI participated in the prestigious GAIA Conference, held at Svenska Mässan, marking a significant presence among leading companies and academia in the field of artificial intelligence and data science. The conference, known for fostering learning, networking, and knowledge sharing, provided IFLAI with an invaluable platform to engage with experts, share insights, and explore the latest trends in applied machine learning and real-world data science applications. Joining an elite group of participants including Zenseact, AstraZeneca, Volvo Cars, and Bosch, IFLAI contributed to the vibrant discussions and exchange of ideas that characterized the event. The GAIA Conference once again proved to be a beacon for AI enthusiasts and professionals, offering inspiring talks, workshops, and opportunities to connect with the local and global AI community. IFLAI’s participation underscores its commitment to advancing AI technologies and its role as a key player in the industry’s ongoing evolution. Read more Recent Posts November 25, 2023 IFLAI’s Chief AI Engineer spearheads AI dialogue at Future Impact Summit 2023 September 18, 2023 Giovanni Volpe awarded the Faculty of Science’s 2023 Research Award April 5, 2023 IFLAI participates in GAIA Conference 2024, sharing the stage with global AI leaders February 20, 2023 Giovanni Volpe Shares Machine Learning Expertise at ICFO January 24, 2023 IFLAI has been awarded the prestigious ERC Proof of Concept Grant Publications Investors News Contact Us AddressHasselvägen 85, Mölnlycke Emailcontact@iflai.com Get Connected

Giovanni Volpe Shares Machine Learning Expertise at ICFO

Home Publications Investors News Get Started Giovanni Volpe Shares Machine Learning Expertise at ICFO Giovanni Volpe, IFLAI’s Chief Technology Officer, led a course at the Institute of Photonic Sciences (ICFO) focused on “Advanced Machine Learning Techniques applied to Microscopy Data Analysis.” The session was held at the ICFO facilities in Castelldefels, Barcelona, Spain, from February 20 to February 24, 2023. The educational initiative was designed to help bridge the gap between technology and scientific research, providing doctoral students and researchers with valuable insights into deep learning and neural networks. The course underscores IFLAI’s dedication to contributing to academic growth and fostering collaboration between industry and academia. Read more Recent Posts November 25, 2023 IFLAI’s Chief AI Engineer spearheads AI dialogue at Future Impact Summit 2023 September 18, 2023 Giovanni Volpe awarded the Faculty of Science’s 2023 Research Award April 5, 2023 IFLAI participates in GAIA Conference 2024, sharing the stage with global AI leaders February 20, 2023 Giovanni Volpe Shares Machine Learning Expertise at ICFO January 24, 2023 IFLAI has been awarded the prestigious ERC Proof of Concept Grant Publications Investors News Contact Us AddressHasselvägen 85, Mölnlycke Emailcontact@iflai.com Get Connected

IFLAI has been awarded the prestigious ERC Proof of Concept Grant

Home Publications Investors News Get Started IFLAI has been awarded the prestigious ERC Proof of Concept Grant The ERC Proof of Concept funding is made available to those who already have an ERC award, and will cover activities at the very early stage of turning research outputs into a commercial or socially valuable proposition. In 2022, two calls took place. The second call, ERC PoC2, had a total of three deadlines. Now the results from the third and last round have arrived. 90 researchers from 18 different countries were awarded this grant, worth 150 000 euro. Six of those are affiliated to a Swedish university. Among them, our CTO, Giovanni Volpe. Read more Recent Posts November 25, 2023 IFLAI’s Chief AI Engineer spearheads AI dialogue at Future Impact Summit 2023 September 18, 2023 Giovanni Volpe awarded the Faculty of Science’s 2023 Research Award April 5, 2023 IFLAI participates in GAIA Conference 2024, sharing the stage with global AI leaders February 20, 2023 Giovanni Volpe Shares Machine Learning Expertise at ICFO January 24, 2023 IFLAI has been awarded the prestigious ERC Proof of Concept Grant Publications Investors News Contact Us AddressHasselvägen 85, Mölnlycke Emailcontact@iflai.com Get Connected

Geometric deep learning reveals the spatiotemporal features of microscopic motion

Home Publications Investors News Get Started Geometric deep learning reveals the spatiotemporal features of microscopic motion Jesús Pineda, Benjamin Midtvedt, Harshith Bachimanchi, Sergio Noé, Daniel Midtvedt, Giovanni Volpe & Carlo Manzo  Nature Machine Intelligence (2023)   Abstract The characterization of dynamical processes in living systems provides important clues for their mechanistic interpretation and link to biological functions. Owing to recent advances in microscopy techniques, it is now possible to routinely record the motion of cells, organelles and individual molecules at multiple spatiotemporal scales in physiological conditions. However, the automated analysis of dynamics occurring in crowded and complex environments still lags behind the acquisition of microscopic image sequences. Here we present a framework based on geometric deep learning that achieves the accurate estimation of dynamical properties in various biologically relevant scenarios. This deep-learning approach relies on a graph neural network enhanced by attention-based components. By processing object features with geometric priors, the network is capable of performing multiple tasks, from linking coordinates into trajectories to inferring local and global dynamic properties. We demonstrate the flexibility and reliability of this approach by applying it to real and simulated data corresponding to a broad range of biological experiments. View publication Publications Investors News Contact Us AddressHasselvägen 85, Mölnlycke Emailcontact@iflai.com Get Connected

Single-shot self-supervised object detection in microscopy

Home Publications Investors News Get Started Single-shot self-supervised object detection in microscopy Benjamin Midtvedt, Jesús Pineda, Fredrik Skärberg, Erik Olsén, Harshith Bachimanchi, Emelie Wesén, Elin K. Esbjörner, Erik Selander, Fredrik Höök, Daniel Midtvedt & Giovanni Volpe Nature Communications (2022)   Abstract Object detection is a fundamental task in digital microscopy, where machine learning has made great strides in overcoming the limitations of classical approaches. The training of state-of-the-art machine-learning methods almost universally relies on vast amounts of labeled experimental data or the ability to numerically simulate realistic datasets. However, experimental data are often challenging to label and cannot be easily reproduced numerically. Here, we propose a deep-learning method, named LodeSTAR (Localization and detection from Symmetries, Translations And Rotations), that learns to detect microscopic objects with sub-pixel accuracy from a single unlabeled experimental image by exploiting the inherent roto-translational symmetries of this task. We demonstrate that LodeSTAR outperforms traditional methods in terms of accuracy, also when analyzing challenging experimental data containing densely packed cells or noisy backgrounds. Furthermore, by exploiting additional symmetries we show that LodeSTAR can measure other properties, e.g., vertical position and polarizability in holographic microscopy. View publication Publications Investors News Contact Us AddressHasselvägen 85, Mölnlycke Emailcontact@iflai.com Get Connected

Kommentar på Clines Scientifics inledda samarbete med IFLAI gällande utveckling av AI-mjukvara för CellRace-projektet

Home Publications Investors News Get Started Kommentar på Clines Scientifics inledda samarbete med IFLAI gällande utveckling av AI-mjukvara för CellRace-projektet Cline Scientific AB (”Cline” eller ”bolaget”) tillkännagav idag den 7:e oktober att bolaget initierat ett samarbete med mjukvaruföretaget IFLAI som är specialiserade på AI-lösningar inom Life Science för att utveckla en skräddarsydd AI-baserad mjukvara för cancerdiagnostikprojektet CellRace som bygger på just avancerade algoritmer i syfte att bedöma och förutse risken för metastaser. I ett första steg ska Cline tillsammans med IFLAI samarbeta för att skapa en skräddarsydd lösning för den automatiserade analysen av den data som samlats in i CellRACE-projektet för att underlätta vidare-utveckling. Detta delmoment kommer att slutföras under Q4-22, därefter kommer Cline att testa program-varan och samla in data från en rad olika tumörcelltyper. I ett efterföljande projekt kommer denna data att användas för att förbättra systemet eftersom det kan ”lära sig” ett brett spektrum av cancerfenotyper, och sedan i slutändan användas som en del av en integrerad algoritm och mätsystem för att bestämma cancermetastatisk potential från ett patientprov. Vår syn på Clines nya samarbetet är att det är naturligt och viktigt strategiskt steg då utvecklandet av avancerade AI-lösningar är en komplex uppgift som kräver många olika kompetenser och specialiteter. Genom att Clines djupgående kunskap inom biomedicin och bioteknologi kombineras med IFLAI:s expertis inom artificiell intelligens med fokus på Life Science innovationer ser vi att intressanta nyheter och data kan presenteras framgent gällande CellRACE-projektet. Professorerna Mattias Goksör och Giovanni Volpe som representerar IFLAI har sammantaget publicerat cirka 100 forskningsartiklar med över 14 000 citeringar enligt forskningsdatabasen Google Scholar. Read more Recent Posts November 25, 2023 IFLAI’s Chief AI Engineer spearheads AI dialogue at Future Impact Summit 2023 September 18, 2023 Giovanni Volpe awarded the Faculty of Science’s 2023 Research Award April 5, 2023 IFLAI participates in GAIA Conference 2024, sharing the stage with global AI leaders February 20, 2023 Giovanni Volpe Shares Machine Learning Expertise at ICFO January 24, 2023 IFLAI has been awarded the prestigious ERC Proof of Concept Grant Publications Investors News Contact Us AddressHasselvägen 85, Mölnlycke Emailcontact@iflai.com Get Connected