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Understanding heart disease by studying the stiffening of arterial vessel walls

Data science is an interdisciplinary field that utilizes statistics, algorithms, and technology to extract insights and knowledge from data. It integrates data analysis, machine learning, and domain expertise to address complex problems and enhance decision-making across various industries.

Robotic device for improving post-stroke gait could enable walkers to benefit during their daily routines 

New student initiative completes fall fellowship

Exploring the computational power of the brain at NYU

Bringing the math to sustainable food distribution

 Steven Wofsy chats about recently launched MethaneSAT emissions satellite

Faculty bring expertise in machine learning, AI and data

Researchers combine physics and machine learning to use Pollock’s drip paint technique for quick and accurate 3D printing

SEAS’ Science and Cooking Workshops help students embrace high school chemistry

Multi-institution team uses quantitative imaging technology, innovative robotic device to capture tissue in minutes, preserve for advanced genomic study

Quantum Noir fosters sense of community among individuals of color involved in quantum science and engineering

Field work on the Rio Negro could help communities exposed to methylmercury in fish 

SEAS students tackle carpet recycling for third-year design course