The latest McKinsey Global Survey on AI in May of 2024 concludes that 2023 was the year the world discovered generative AI (GenAI) and 2024 is the year organizations truly began using—and deriving business value from—this new technology. An incredible 65 percent of respondents report that their organizations are regularly using GenAI, which is nearly double the percentage from the previous survey just ten months before. Respondents’ expectations for gen AI’s impact remain as high with three-quarters predicting that gen AI will lead to significant or disruptive change in their industries in the years ahead. This session is an invaluable opportunity for business leaders like you to overcome your hesitation and uncertainty of AI. Mastering AI tools and techniques is not just about keeping pace with technology; it's about leveraging these advanced resources to fill in knowledge gaps, enhance decision-making, and drive productivity. Learning to utilize AI not only streamlines operations but also significantly boosts your capacity to deliver increased business outcomes, making you more valuable and a strategic asset to your organization. You will leave equipped with practical, actionable strategies that you can implement immediately, turning your uncertainty into confidence and empowering you to leverage AI effectively in your daily tasks. Speaker(s): Paul Carney Virtual: https://events.vtools.ieee.org/m/423706

The Montreal Chapters of the IEEE Control Systems (CS) and Systems, Man & Cybernetics (SMC) cordially invite you to attend the following in-person talk, to be given by Dr. Jesús Rodríguez Molina from the Technical University of Madrid. Co-sponsored by: Concordia University Speaker(s): Dr. Jesús Rodríguez Molina Room: EV002.184, Bldg: EV Building, Concordia University , Montreal, Quebec, Canada, H3G 1M8

Abstract: Indium phosphide photonic integration platforms offer a wide range of passive components, but excel in their optoelectrical functionality. The indium-phosphide-membrane-on-silicon (IMOS) platform bargains this functionality, but combines it with high-index-contrast nanophotonic circuits. Recent demonstrations have highlighted devices with competitive performance metrics, including ultrafast photodiodes, best-in-class thermos-optic phase modulators, multi-pass SOAs, and widely-tunable lasers. Applications of the IMOS devices show high potential in optical wireless, optical cross-connects and sensing applications. Speaker(s): Sander Reniers 1650 Boulevard Lionel-Boulet, Varennes, Quebec, Canada, J3X 1P7

Abstract: Real-time detection, classification, and identification of aerosol particles are crucial in various industries and public health areas. To overcome the limitations of existing particle analysis methods, we investigated three categories of industrial-oriented techniques for both statistical monitoring and fingerprint detection. The first technique is based on optical scattering, which correlates particle information with scattered intensity. By employing polarization characterization and multi-angle measurement, we have sufficiently classified different particle types at the single-species level. Additionally, to achieve high-throughput particle characterization, we developed imaging platforms for particle detection. Utilizing polarization imaging and deep learning algorithms, we achieved a classification accuracy of ~95%. Finally, we demonstrated a compact digital in-line holographic microscopy platform with an inertial spectrometer for simultaneous measurement of two independent fingerprint parameters at the single-species level. Specifically, by interrogating the particle location and size captured with the platform, particle mass density can be estimated. Furthermore, by employing Monte Carlo fitting to the Lorenz-Mie theory, the refractive index of each particle can be extracted from the interference patterns. The combination of mass density and optical density characterization unambiguously enhances the discriminatory power of the system, especially when dealing with particles that exhibit similar mass densities but distinctive refractive indices or vice versa. [] Co-sponsored by: Co-sponsored by National Research Council, Canada. Optonique. ETS Optica Student Chapter. Speaker(s): Jingwen Li, Agenda: - - Introduction from the host (2 to 5 minutes) - Presentation (40 to 45 minutes) - Questions from the audience (5 to 10 minutes) - Lunch and networking Room: Room 1302, Bldg: Building A, 1100 Notre-Dame St W, Montréal, Quebec, Canada, H3C 1K3

TBD - CIT Summer Series Session 5 Speaker(s): Careers in Tech Speaker ***CANCELED*** Virtual: https://events.vtools.ieee.org/m/423707