Ai.columbia.edu
How Generative AI will Transform Health Care and Finance
WEBHow Generative AI will Transform Health Care and Finance. March 29, 2024. Columbia Engineering, Business, and Medical schools convened panels of leading experts to explore the future of this transformative technology. Leaders in business and research convened at The Forum at Columbia University on Nov. 2, 2023, to discuss the opportunities that
Actived: 5 days ago
URL: https://ai.columbia.edu/news/how-generative-ai-will-transform-health-care-and-finance
Artificial Intelligence @ Columbia
WEBSymposium: Generative AI, Free Speech & Public Discourse. Event time is displayed in your time zone. Columbia Engineering and the Knight First Amendment Institute at Columbia are co-hosting panels with multidisciplinary experts to debate artificial intelligence and its impact on the future of public discourse, free expression, and democracy.
David Yao Artificial Intelligence @ Columbia
WEBDavid Yao studies the analysis, design and control of stochastic systems, such as computer and communication networks, production systems and supply chains, health care systems, and related resource control and risk management issues. A principal investigator of over 30 grants and contracts from government agencies and industrial sources, he
John Wright Artificial Intelligence @ Columbia
WEBWright’s group develops efficient computational tools for recovering low-complexity models from noisy, incomplete, or corrupted observations, proves their correctness, and collaborates with a wide range of colleagues to apply them to problems in data science, imaging, vision, health, and communications. Expand all.
Andrew F. Laine Artificial Intelligence @ Columbia
WEBAs director of the Heffner Biomedical Imaging Lab at Columbia, Andrew Laine focuses on the mathematical analysis and quantification of medical images, signal and image processing, computer-aided diagnosis and biomedical / imaging informatics. His work is based on imaging structures at the molecular, cellular, tissue, and organ levels of analysis.
Daniel Hsu Artificial Intelligence @ Columbia
WEBDaniel Hsu develops algorithms for statistical analysis and machine learning. He focuses especially on settings that involve high-dimensional data or interaction. His research has produced the first computationally efficient algorithms for several statistical estimation tasks, provided new algorithmic frameworks for solving interactive machine
Research Artificial Intelligence @ Columbia
WEBResearch. Artificial intelligence touches every aspect of engineering at Columbia. Across our labs and classrooms, we’re using AI to imagine a sustainable, healthy, secure, connected, and creative future. Our researchers create neural networks that pilot driverless cars and autonomous robotics systems, write algorithms to help doctors
Steven Feiner Artificial Intelligence @ Columbia
WEBSteven K. Feiner and his lab explore how computers can assist people in performing skilled tasks at work and in play, individually and collaboratively. Feiner’s lab has been doing research on Augmented Reality (AR), Virtual Reality (VR), and wearable computing for over 25 years, designing and evaluating novel 3D interaction and visualization
What Is Embodied Intelligence
WEBOur roboticist Matei Ciocarlie explains. Embodied Intelligence: Robots that touch the world. Watch on. Matei Ciocarlie, associate professor of mechanical engineering, discusses how to design a robot hand that mirrors the evolution of human biology, where form and function develop together.
Raimondo Betti Artificial Intelligence @ Columbia
WEBRaimondo Betti. Raimondo Betti’s research focuses on the area of structural health monitoring, a crucial area for the safety, maintenance, and rehabilitation of our nation’s infrastructure system. His main interests range from the development of numerical algorithms for the identification of high-fidelity models of buildings and bridges to
Andrew W. Smyth Artificial Intelligence @ Columbia
WEBAndrew Smyth specializes in structural health monitoring, using sensor information to determine the condition of critical infrastructure. Recently his interest in sensor network monitoring has expanded to large fleets of vehicles in urban environments. Smyth is the chair of the Smart Cities Center at Columbia University’s Data Science Institute.
Embodied Intelligence, Sensors and Robotics
WEBEmbodied Intelligence, Sensors and Robotics. We believe that embodiment is an inseparable part of intelligence, determining its interaction capabilities with the physical world and its ability to effect meaningful change involving real atoms, not just virtual bits. Furthermore, we believe that computational and embodied aspects of artificial
Nakul Verma Artificial Intelligence @ Columbia
WEBNakul Verma studies machine learning and high-dimensional statistics. He focuses on understanding and exploiting the intrinsic structure in data to design effective learning algorithms. His work has produced the first provably correct approximate distance-preserving embeddings for manifolds from finite samples, and has provided improved …
Samuel K. Sia Artificial Intelligence @ Columbia
WEBSamuel Sia develops technologies for point-of-care blood tests, wearable sensors, and implantable devices, both in an academic and industry setting. He co-developed a point-of-care blood test for prostate cancer which is being commercialized and has garnered FDA approval, and is co-founder of Rover Diagnostics which is developing rapid and low
Media and AI Artificial Intelligence @ Columbia
WEBAI technologies are having a transformative impact on the entire pipeline of media: from capturing, creation, transmission, dissemination, all the way to final consumption and collaboration using different forms of digital media. Columbia Engineering researchers are leading the frontiers in developing new sensors, algorithms, tools, and systems
Zhou Yu Artificial Intelligence @ Columbia
WEBZhou Yu designs algorithms for real-time intelligent interactive systems that coordinate with user actions that are beyond spoken languages, including non-verbal behaviors to achieve effective and natural communications. In particular, she optimizes human-machine communication via studies of multimodal sensing and analysis, speech and natural
Computer Vision and Multimodal AI
WEBThe Computer Vision and Multimodal AI group does fundamental research on extracting information from visual data, such as images, videos and their combination with modalities such as audio, speech, text, touch, etc. Our research extends from the development of novel vision sensors, the extraction of knowledge from sensed data, to the
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