Artificial Neural Networks Streamline Materials Testing
Optimizing advanced composites for specific end uses can be costly and time-consuming, requiring manufacturers to test many samples to arrive at the best formulation. Investigators at the NYU Tandon School of Engineering have designed a machine learning system employing artificial neural networks (ANN) capable of extrapolating from data derived from just one sample, thereby quickly…
Researchers Pioneer Machine Learning to Speed Chemical Discoveries, Reduce Waste
Machine learning algorithms can predict stock market fluctuations, control complex manufacturing processes, enable navigation for robots and driverless vehicles, and much more. Now, researchers at the NYU Tandon School of Engineering are tapping a new set of capabilities in this field of artificial intelligence, combining artificial neural networks with infrared thermal imaging to control and…
Machine Learning Masters the Fingerprint to Fool Biometric Systems
New Tech Delivers High-Tech Film That Blocks Electromagnetic Interference
Researchers Turn Tracking Codes into ‘Clouds’ to Authenticate Genuine 3D Printed Parts
Overcoming a Major Challenge to Mass Producing Low-Cost Solar Cells
An international team of university researchers today reports solving a major fabrication challenge for perovskite cells — the intriguing potential challengers to silicon-based solar cells. These crystalline structures show great promise because they can absorb almost all wavelengths of light. Perovskite solar cells are already commercialized on a small scale, but recent vast improvements in…
Researchers Solve Major Challenge in Mass Production of Low-Cost Solar Cells
Self-Assembling Protein Hydrogels Aid Biomedicine
Delivering medications safely and accurately is of great interest to researchers and, of course, to people who need them. So is restoring function to damaged body parts. Jin K. Montclare, an associate professor of chemical and biomolecular engineering at the NYU Tandon School of Engineering, has taken a big step towards meeting both of these…
Submarines Dive Deeper Thanks to 3D Printing
A team of materials scientists at the NYU Tandon School of Engineering has developed the first process to 3D print components of syntactic foam — extremely strong and lightweight composites used in vehicles, airplanes, and ships. Their breakthrough holds particular promise for submarines because it will enable manufacturers to print components with complex shapes capable…
Researchers Devise Microreactor to Study Formation of Methane Hydrate
Researchers at the NYU Tandon School of Engineering are using a novel means of studying how methane and water form methane hydrate that allows them to examine discrete steps in the process faster and more efficiently. NYU Tandon researchers led by Ryan Hartman, an assistant professor of biomolecular and chemical engineering who runs Tandon’s Flow…
FCC Grants NYU Wireless First Program Experimental License
Professors Build AI to Help Autonomous Vehicles Locate Themselves on Digital Maps
Self-driving cars could account for 21 million new vehicles sold every year by 2035. Over the next decade alone such vehicles — and vehicles with assisted-driving technology — could deliver $1 trillion in societal and consumer benefits due to their improved safety. For autonomous vehicles to make good on that promise they will need onboard artificial intelligence (AI) technology…
Swimming for Science
Researchers Find Vulnerabilities in Cars Connected to Smartphones
Many of today’s automobiles leave the factory with secret passengers: prototype software features that are disabled but that can be unlocked by clever drivers. In what is believed to be the first comprehensive security analysis of its kind, Damon McCoy, an assistant professor of computer science and engineering at the NYU Tandon School of Engineering,…
