Modern Artificial Intelligence
ECE special seminar series addressing the most important new research in the world of artificial intelligence (AI)
ACADEMICS | DEPARTMENTS | ELECTRICAL AND COMPUTER ENGINEERING | ECE SEMINAR SERIES
ECE special seminar series addressing the most important new research in the world of artificial intelligence (AI)
ACADEMICS | DEPARTMENTS | ELECTRICAL AND COMPUTER ENGINEERING | ECE SEMINAR SERIES
Professor Cristina Savin investigates how neural circuits represent, update, and adapt beliefs to manage uncertainty and change. By combining machine learning, probabilistic modeling, and…
Professor Farah Shamout leads the Clinical Artificial Intelligence (CAI) lab, where her team is developing machine learning models to support decision-making in healthcare. This includes AI…
Dynamical Systems and Artificial Intelligence Lab (DSAIL) uses the financial application domain as a challenging real-world dynamical system environment in which to advance machine learning. …
Transatlantic Dialogues on Artificial Intelligence, Society and Innovation
RESEARCH INNOVATION | CENTERS | CENTER RESPONSIBLE AI
Computer Music, Artificial Music Intelligence, Human-Computer Interaction, Bio-music computing
Innovation at the nexus of AI, wireless, robotics, and the physical world
IMPACT
Construction Automation, Cybersecurity in the AEC Industry, Artificial Intelligence, Lean Construction, and BIM
Protein engineering chemical biology biomaterials self-assembly artificial proteins biocatalyis, sustainability
Chemical reaction engineering Continuous-flow manufacturing Flow chemistry Microchemical systems Artificial intelligence Sustainability
AI, player modelling, procedural content generation, automatic game design, believable bot behaviour, coevolution, neuroevolution, cybersecurity, emerging media, genetic programming and monte carlo…
Advances in miniaturized sensors and actuators, as well as artificial intelligence (AI), have broadened horizons for assistive and rehabilitative technologies. The team of Professor JohnRoss Rizzo,…
MARL, directed by Professor Juan Pablo Bello, is an interdisciplinary center at the intersection of science, technology, music, and sound, with research connecting a wide range of fields ranging…
X-ray astrophysics, Black Holes, Machine Learning, Deep Learning, Artificial Intelligence
Compilers, Programming Languages, Deep Learning, Artificial Intelligence, High Performance Computing
Mark Lee is currently involved with transforming the landscape of pharmaceutical and medical device manufacturing training at the corporate, governmental, and manufacturing floor level. His research…
Our group is dedicated to “Practical Soft Matter Physics,” meaning we focus on research problems that are inspired by — and directly applicable to — industrial applications. Our…
Arabic Natural Language Processing, Natural Language Processing, Computational Linguistics, Artificial Intelligence
Additive Manufacturing, Experimental Testing, Numerical Modeling, Composite materials and structures, Smart Structures, Machine Learning
Dialogue Systems, Natural Language Processing, Human-Computer Interaction, Artificial Intelligence, Machine Learning
Stroke, Traumatic Brain Injury, Acquired Brain Injury, Eye-Hand Coordination, Eye Movements, Ocular Motor Control, Manual Motor Control, Concussion, Biomechanics, Gait, Assistive Technology, Wearable…
He sold his startup to Uber and helped the ride-hailing company launch its AI lab. But he's not sold on the rise of the machines just yet.
Buttonmasher is Douglas Heaven's monthly column about video games, and how the way we play is changing
Ride-hailing service is creating new division to develop the technology
The aim of Dr. Chklovskii’s research is to understand how the brain analyzes large and complex datasets streamed by sensory organs. Informed by anatomical and physiological neuroscience data, his…
Professor Dan Sodickson’s research primarily addressed the development of new techniques for biomedical imaging to improve human health. He leads a multidisciplinary team that develops new methods…
Robotics and applications, optimal control, reinforcement learning, robotics societal/ethical issues, legged robots, robotic manipulation
“We should take seriously the possibility that things could go radically wrong.”
Polymer physics, composite materials, rheology, nonequilibrium thermodynamics, interfaces, industrial processes, machine learning
The school says the partnership is the first of its kind. But with its center of gravity at NYU Tandon's SoHo-based incubator, will it still be good for the Brooklyn tech scene?
... 1. Innovation / Organizational Improvement via the application of emerging information technologies, such as: - Cloud Technology - Blockchain - Internet of Things - Artificial Intelligence …
Jin Kim Montclare’s lab is performing groundbreaking research in engineering proteins to mimic nature and, in some cases, work better than nature. Her team works to customize artificial proteins…
Sustainable and Resilient Urban Infrastructure, Transportation Planning, Public Transit, Artificial Intelligence and Decision Modeling, Causality, Remote Sensing
School and venture capital fund ff Venture Capital to support five startups using computers to mimic human intelligence
Mean field control and mean field games, numerical methods, partial differential equations, stochastic analysis and machine learning
First of Its Kind Dedicated to the Study of Social Implications of AI
Future Labs at NYU Tandon and ff Venture Capital will also introduce AI NexusLab’s second cohort of AI startups
Facebook Director of AI Research and NYU Professor Yann LeCun to Launch Series Featuring Research Giants from Industry and Academia
AI NexusLab at NYU Tandon and ff Venture Capital convene top minds in technology development to discuss cutting-edge advances
First AI-Focused Partnership for a University and Venture Fund in the United States
NYU Tandon Future Labs and Capital One Growth Ventures Host Focus AI: Finance, Featuring Insights from Executives at Silicon Valley Bank, Datalogue, Alpha Vertex, and More
NYU Tandon Researchers Win NSF Grant to Develop Tools to Defend Neural Networks and Machine Learning Systems from Attack and Identify Security Flaws