SWARM Community

Hey, if you are a computer vision fanatic, it's your lucky day :) We are doing a final ticket giveaway, if you are interested in attending this event for FREE on Thursday, comment below "Computer Vision" and tag us at SWARM Community before Wednesday 11:59 PM Eastern (NYC) to get a DM with the link. We'll be sharing ticket codes while supplies lasts! You're in store for a world class virtual event featuring industry and research leaders from around the world such as: Armon Rahgozar, PhD, MBA, Boris Kriuk, Madan Pernati, Sivaram A., Dr. Sumegh Tharewal (PhD,Post-doc,SMIEEE) And hosted / moderated by Joaquin Melara Be sure to spread the word, like you spread butter on toast!

JOIN US FOR 2 SPEED NETWORKING SESSIONS AT THE COMPUTER VISION IN AI FORUM: Participating in the "Visionary Connections: Speed Networking" sessions at the Computer Vision in AI Forum provides an unparalleled opportunity to rapidly expand your professional network within the AI and computer vision community. In just a short amount of time, you’ll meet fellow innovators, researchers, and professionals from around the world, offering you the chance to build valuable connections with like-minded individuals. This fast-paced format allows for impactful conversations, making it easier to exchange ideas and explore collaborative opportunities in a focused, high-energy environment. Beyond making new professional connections, the session helps you gain fresh insights and perspectives from various sectors of the AI landscape. Whether you're seeking partners for future projects, sharing your expertise, or simply looking to stay ahead of the curve in the ever-evolving field of computer vision, this session offers you the chance to form relationships that could drive innovation and shape the future of AI. Don't miss the opportunity to build connections that matter! REGISTER HERE: https://lnkd.in/eGKK2bXY #AI #ComputerVision #SpeedNetworking

NAVIGATING POLICY AND TECHNOLOGY: CHALLENGES AND LESSONS FROM IMPLEMENTING COMPUTER VISION AND AI SOLUTIONS VENTURING INTO THE COMPLEX: In this engaging panel discussion, industry leaders and experts will explore the intricate intersection of policy, technology, and innovation, focusing on the challenges and lessons learned from implementing computer vision and AI solutions across various sectors. The panel will address crucial concerns such as the regulatory landscape, data privacy, and ethical considerations that arise when deploying these cutting-edge technologies. Attendees will gain valuable insights into how organizations can navigate the evolving policy environment while maintaining compliance, ensuring security, and fostering innovation in computer vision and AI applications. PRACTICAL LESSONS LEARNED: The panel will also dive into real-world case studies, showcasing the practical applications of computer vision and AI technologies, while shedding light on both the successes and challenges encountered during implementation. From overcoming infrastructure limitations to fostering cross-sector collaboration, the discussion will provide actionable takeaways for policymakers, technology leaders, and solution providers alike. Join us for this forward-thinking conversation on balancing the immense potential of AI-driven solutions with the need for responsible and secure deployment in an ever-evolving world. FEATURING:  Armon Rahgozar, PhD, MBA, Madan Pernati, Sivaram A., & Dr. Sumegh Tharewal (PhD,Post-doc,SMIEEE) MODERATED BY:  Joaquin Melara REGISTER HERE: https://lnkd.in/eGKK2bXY #AI #ComputerVision #TechPolicy #DataPrivacy #EthicalAI

Don't miss the second edition of AI4S event coming up next week! Artificial Intelligence: Towards Sustainable Intelligence Second International Conference, AI4S 2024, Alcala de Henares, Spain, October 3-4, 2024 "We are honored to welcome our keynote speaker, Ahmet Soylu and the industrial talk Prasad Yalamanchi. Ahmet Soylu is a renowned researcher from OsloMet – Oslo Metropolitan University and Prasad Yalamanchi is a distinguished at semantics industry leading Semantics USA. Together, they will provide valuable insights and perspectives at AI4S. Dr. Sanju Tiwari Miguel-Angel Sicilia Tek Raj Chhetri Fernando Ortiz-Rodríguez Universidad de Alcalá ShodhGuru Research Labs Universidad Autonoma de Tamaulipas Index Nacional SWARM Community Link to event: https://lnkd.in/ghKnhf6u

ARMON IS GOING TO BE SPEAKING AT THE COMPUTER VISION IN AI FORUM ABOUT ARMON: Armon Rahgozar, PhD, MBA is a recognized Data Product Innovation Leader, celebrated for his ability to introduce first-to-market, platform-based solutions that align with business objectives, accelerate time to market, and enhance B2B and B2B2C customer experiences. As an Innovation Leader at Conduent, he managed over 220 reports, leading the development of innovative technologies across 16 business units spanning Commercial, Government, and Transportation divisions. Under his leadership, Armon successfully launched an AI/ML/CV platform featuring cutting-edge solutions such as Vehicle Occupancy Detection and Traffic Pattern Analysis. He also pioneered the development of GenAI PoCs for applications like Agent Call Summarization and Medical Claim Data Extraction, driving the integration of advanced technologies across diverse sectors. At Conduent, Armon played a pivotal role in building the company's innovation function from the ground up, scaling a global team to over 220 members across multiple continents within 18 months, achieving an impressive 85% retention rate over seven years. His leadership fostered a companywide culture of innovation, with over 70% of the innovations he spearheaded becoming commercialized. He also led the development of a comprehensive Azure-based BI-DW platform serving multiple business divisions, earning Conduent the "Leader, Advanced Analytics NEAT" designation from Nelson Hall in 2019. Additionally, Armon’s contributions to business process automation and optimization at PARC resulted in a 20% reduction in labor costs, a 7% increase in operating margins, and a 30% acceleration in cycle times. Armon holds a Ph.D. in Computer Science, has contributed to 20 patents, and published over 10 scientific articles. His deep scientific and technical expertise has enabled him to lead and motivate scientific and technology teams, driving real-world outcomes through advanced innovations in data, AI, and machine learning. With his extensive experience and passion for fostering innovation, Armon consistently delivers high-impact products, builds top-performing teams, and cultivates trusted relationships with decision-makers across industries. REGISTER HERE: https://lnkd.in/eGKK2bXY #AI #MachineLearning #TechLeadership #BusinessInnovation 

INTELLIGENCE WITH VISION: TRANSFORMING INDUSTRIES WITH APPLIED VISION TECHNOLOGIES TRANSFORMING INDUSTRIES: This session explores the transformative potential of computer vision technologies across industries such as insurance, search, fashion, and construction. Attendees will discover how visual AI integrates with autonomous systems to drive efficiency and innovation. The presentation will highlight cutting-edge multimodal vision and text models, custom deep learning solutions, and the crucial guardrails for responsible AI adoption. Key areas of focus include AI observability and security in vision applications, alongside strategic decisions around build vs. buy for implementing these technologies. FUTURE OF VISUAL INTELLIGENCE: By the end of this session, participants will gain a comprehensive understanding of the real-world impact of applied vision technologies across industries today. Ethical considerations around AI deployment will be emphasized, preparing attendees for the future of visual intelligence. Leaders and innovators will be equipped with insights into the opportunities, challenges, and importance of secure and responsible AI adoption as visual intelligence continues to reshape industries worldwide. ABOUT SIVARAM: Sivaram Annadurai is an AI Strategy and AI Solution Architect with extensive experience applying vision technologies across industries including beauty, education, fashion, healthcare, cybersecurity, and retail. He developed state-of-the-art classification models for the Royal Horticultural Society in the UK, achieving over 80% accuracy in plant identification. Sivaram also architected a Vision AI and Generative AI solution for Unilever, enhancing product detection and personalized recommendations in the fast-moving consumer goods sector. His work on "Meal Reveal," an AI-powered tool for Hellmann’s, demonstrated his ability to reduce food waste by suggesting recipes based on fridge contents. With collaborations with high-profile organizations like Amazon, Microsoft, and Publicis Sapient, Sivaram has transformed customer journeys and operational processes through AI. He holds a Master’s Degree in Data Science from IIT Hyderabad and a Bachelor’s Degree in Computer Science from Bharathiar University, along with two patents in real-time video analytics people counting and in sweet hearting in retail. His contributions to AI education through curriculum design and training programs position him as a key thought leader in AI’s future. REGISTER HERE: https://lnkd.in/eGKK2bXY #ComputerVision #AI #AppliedVision #DeepLearning #ArtificialIntelligence

In this newsletter, Joaquin Melara emphasizes the importance of attending the upcoming Information Architecture 4 Artificial Intelligence (IA4AI) event. STRUCTURED INFORMATION VS RAW DATA: The event highlights the value of information over raw data, focusing on how information architecture (IA) shapes and structures data for meaningful use. SUPERIOR EVENT PROGRAM: Speakers like Heather Hedden, Jessica Talisman, and Marianne Sweeny will discuss key topics such as taxonomies, ontologies, and AI integration in IA. The two-day event includes speed networking sessions, hands-on workshops, and panel discussions with leading experts in IA. Workshops cover topics like constructing knowledge graphs, designing taxonomies, and using large language models (LLMs) for IA research. Participants will be able to meet with other like minded individuals and gain valuable insights on transforming data into actionable information, making the event essential for those interested in the future of IA and AI. #InformationArchitecture #ArtificialIntelligence #Semantics

IDENTITY VERIFICATION: RECENT ADVANCEMENTS IN MULTIMODAL BIOMETRICS VERIFYING IDENTITIES: Traditional biometric systems, which are primarily unimodal, rely on a single source of information for authentication. However, these systems often face challenges such as noisy data, intra-class variations, inter-class similarities, and vulnerabilities to spoofing attacks. In this session, we introduce a robust multimodal biometric system that combines 3D face and 3D ear recognition to address these limitations. By leveraging 3D biometrics, which are more resilient to variations in illumination and poses compared to 2D methods, this system offers enhanced accuracy and reliability in human recognition. The combination of face and ear biometrics is especially powerful due to the physiological stability and non-intrusive nature of these traits, making them ideal for secure and reliable biometric authentication. BIOMETRIC RECOGNITION: This session will provide an in-depth exploration of multimodal biometrics, focusing on the advantages and challenges of using multiple biometric traits for authentication. We will compare 2D and 3D biometric systems, discuss the fusion of biometric data, and highlight real-world applications of this advanced technology. Join us to discover how multimodal biometric systems can enhance security and reliability across industries, offering a glimpse into the future of biometric recognition. ABOUT THAREWAL: Dr. Sumegh Tharewal (PhD,Post-doc,SMIEEE) is an Associate Professor in the School of Advanced Computing at DBS Global University, India. With over 13 years of experience in research and academia, he has made significant contributions to fields such as Blockchain Technology, Biometrics, Machine Learning, Artificial Intelligence, Pattern Recognition, and Image Processing. He has published over 40 research papers in prestigious international conferences and journals such as IEEE, Springer, and Elsevier, with 25 Scopus-indexed papers, 422 citations, and an h-index of 11. Sumegh has received several awards, including the Indo Asian Young Scientist Award in Biometrics (2021) and the Research Excellence Award (2019). His research work has led to 15 global patents granted by the Governments of India, Australia, Germany, South Africa, and the UK. Dr. Tharewal has mentored over 50 students and continues to guide future innovators in AI and blockchain technology as a PhD supervisor and co-supervisor at renowned institutions. REGISTER HERE: https://lnkd.in/eGKK2bXY #Biometrics #MultimodalBiometrics #AI #TechForGood 

EYES ON THE ROAD: REVOLUTIONIZING TRANSPORTATION SAFETY AND EFFICIENCY WITH COMPUTER VISION ROAD SAFETY: The integration of computer vision into road safety systems is revolutionizing the future of transportation, driving innovations that enhance safety, efficiency, and urban planning. In this session, we will showcase 52 cutting-edge applications of AI-driven camera systems that are reshaping how we manage roads and protect users. These technologies promise safer streets, fewer accidents, and smoother traffic flow, benefiting drivers and pedestrians alike. From in-vehicle systems that boost driver awareness to smart infrastructure that protects cyclists and walkers, these solutions encompass the entire road ecosystem, ensuring a safer and more efficient environment for all road users. MODERNIZING TRANSPORTATION: This presentation is essential for policymakers, solution providers, and public stakeholders. Policymakers will discover a roadmap for modernizing transportation infrastructure with data-driven solutions that address long-standing challenges in traffic management and urban planning. Solution providers will uncover a wealth of opportunities for innovation and collaboration as the demand for these transformative technologies continues to grow. This session not only highlights the latest advancements in road safety but also underscores the critical role of computer vision in shaping the future of transportation, offering a vision for safer, smarter, and more sustainable road systems. ABOUT MADAN: Madan Pernati is a seasoned Director with over 12 years of experience in IT leadership, specializing in AI-driven solution design and project delivery. He has led global teams of over 200 members, overseeing sales enablement, software development, security, and infrastructure. Madan’s expertise in Vision AI has enabled him to develop cutting-edge technologies used by governments and private businesses worldwide. Known for his strategic approach, he drives business success while maintaining composure under pressure. Throughout his 16-year career, Madan has spearheaded innovative Vision AI solutions that have transformed industries globally. His leadership in large-scale operations, budget management, and global system oversight has consistently delivered growth and operational efficiency, solidifying his reputation as an influential leader in AI and IT. REGISTER HERE: https://lnkd.in/eGKK2bXY #AI #ComputerVision #TransportationSafety #RoadSafety #TechForGood

SMOOTH ATTENTION: IMPROVING IMAGE SEMANTIC SEGMENTATION ATTENTION MECHANISMS: Attention mechanisms have become a critical component in deep learning models, particularly in computer vision. These mechanisms allow models to selectively focus on the most relevant spatial regions of an input image, improving performance in tasks like image classification, object detection, and semantic segmentation. However, traditional approaches to attention mechanisms often face challenges with spatial incoherence, where sharp transitions in attention maps result in a loss of focus on key regions, leading to poor generalization in complex shapes. This issue is especially problematic in semantic segmentation, where pixel-level accuracy is crucial for understanding spatial relationships within images. SMOOTH ATTENTION: In this session, we will introduce Smooth Attention, a novel attention mechanism designed to tackle the issue of spatial inconsistency in convolutional neural networks. By applying multidimensional spatial smoothing, Smooth Attention minimizes abrupt transitions in attention maps, improving model focus and enhancing generalization on complex visual tasks. We’ll share the results of experiments that demonstrate Smooth Attention’s superior performance compared to traditional methods, offering fresh insights into advancing computer vision tasks. Join us as we explore this innovative approach to refining attention mechanisms in deep learning models. ABOUT BORIS: Boris Kriuk is a globally recognized leader in machine learning, data science, and deep learning. As the Co-Founder and CEO of Sparcus Technologies Limited, Boris leads the development of AI solutions for logistics and supply chain management. His expertise has driven innovation in deep learning, computer vision, natural language processing, and MLOps, positioning Sparcus as a pioneer in the application of machine learning technologies to solve complex logistical challenges. A thought leader in AI, Boris actively contributes to the ACM, Association for Computing Machinery and the Computer Vision Foundation. His research in biomedical computer vision, particularly on imbalanced data, loss function analysis, and transfer learning techniques, has earned him international acclaim. He has published numerous papers, including "Non-Leidenfrost Levitation of a Droplet Over Liquid Surface" and "Deep Learning-Driven Approach for High-Complexity Character Classification," demonstrating his commitment to advancing the boundaries of AI innovation. REGISTER HERE: https://lnkd.in/eGKK2bXY #AI #ComputerVision #DeepLearning #MachineLearning #ArtificialIntelligence