NYU Prof Awarded for Noise Algorithm

At a ceremony held this week at New York University, Ken Perlin, an NYU professor in the Media Research Laboratory in the department of Computer Science, was awarded $10,000 by visual arts software developer Trapcode for an algorithm he developed called Perlin Noise.

Perlin developed the noise algorithm and made it freely available to the public. It generates pseudo-random numbers that can be used to create digital effects like smoke and fog. Most notably, the algorithm has been incorporated into software products from Trapcode, the publisher of effects plugins that are widely used in professional and high-end motion graphics and compositing. These include Trapcode Shine and Particular, as well as the forthcoming Flux. (Particular is a particle generator for Adobe After Effects; Shine is a lighting effects plugin for After Effects.)

Said Peder Norrby, head of Trapcode, based in Stockholm, Sweden, told us, "My eyes where opened to the algorithm when I was working at Cycore back in 1999, and [the] lead developer for Cult Effects there, Jens Enkvist, implemented Perlin Noise for one of the plugins we made--which we later integrated into Adobe After Effects. The plugin is called "Fractal Noise" Jens explained a little bit how the algorithm noise worked in 2D and 3D, some years later I did an extrapolation of that into 4D, which is what Trapcode Particular and Trapcode Flux uses."

Effects based on Perlin Noise have been used in films like Matrix Revolutions and Sin City.

Read More:

About the Author

David Nagel is the former editorial director of 1105 Media's Education Group and editor-in-chief of THE Journal, STEAM Universe, and Spaces4Learning. A 30-year publishing veteran, Nagel has led or contributed to dozens of technology, art, marketing, media, and business publications.

He can be reached at [email protected]. You can also connect with him on LinkedIn at https://www.linkedin.com/in/davidrnagel/ .


Featured

  • CIS Sandbox Tutor Eli Blouin at Bentley University imagines a future technology learning partner that supports curiosity, critical thinking, feedback, and personalized learning.

    Student Voices: Technology as a Future Learning Partner

    A data analytics and marketing major at Bentley University and a distinguished lecturer at the university explore the future of "technology learning partners" — technologies that participate in the learning process by asking questions and giving feedback, not just information search results.

  • lock symbol with quantum bits in dynamic motion

    Microsoft Accelerates Focus on Quantum-Safe Security

    Microsoft is speeding up its quantum-safe security timeline, saying advances in quantum computing and new federal requirements have pushed post-quantum cryptography from a future planning issue into an immediate engineering priority.

  • interconnected nodes with currency symbols

    Gartner: Half of Gen AI Projects Could Exceed Budget by 2028

    Organizations may be underestimating the actual cost of generative AI as they move from experimentation to production, according to Gartner's "10 Best Practices for Optimizing Generative and Agentic AI Costs" report.

  • robot hand holding stacks of coins

    Designing AI Systems for Financial Aid

    Financial aid offices have been slow to adopt AI, risking technological stagnation at a critical early student touchpoint. Systematic AI integration can improve student experiences and strengthen institutional positioning.