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Max Versace

Max Versace

AI, academia => real-world

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lifelong learning

Articles Media Coverage 

When DNNs become more human: DNNs vs Transfer Learning vs. Continual Learning

October 29, 2019October 29, 2019 maxversace AI, l-dnn, lifelong DNN, lifelong learning

As new approaches to deep neural networks (DNNs) and deep learning continue to emerge, it’s important to understand the differences

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Lifelong Deep Neural Networks
Articles 

Overcoming the Catastrophe of Forgetful AI

April 18, 2018April 18, 2018 maxversace 39,197 Comments AI, deep learning, l-dnn, lifelong learning

“Catastrophic forgetting,” is a major hurdle toward fully autonomous artificial intelligence. In a video interview, Anatoli Gorchechnikov, co-founder of Neurala,

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AI 2.0
Articles 

The Next-Generation AI Brain: How AI Is Becoming More Human

April 18, 2018April 18, 2018 maxversace 16,954 Comments AI, deep learning, edge computing, edge learning, l-dnn, lifelong DNN, lifelong learning

In the movie Memento, former insurance investigator Leonard Shelby tracks down the criminal who attacked him and murdered his wife. Leonard,

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Media Coverage Press Release 

Neurala Announces Lifelong-DNN™ for Self-Driving Cars, Drones, Toys and Other Machines: Deep Learning That Can Learn on the Device Without Using the Cloud

May 8, 2017April 19, 2018 maxversace AI, dnn, l-dnn, lifelong DNN, lifelong learning

Lifelong-DNN™ (Lifelong-Deep Neural Networks), Neurala’s Patent-Pending Software, Overcomes Catastrophic Forgetting—the #1 Problem Limiting the Growth of Deep Learning Neural Networks

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About

I am the co-founder and CEO of Neurala Inc., a Boston-based company building Artificial Intelligence emulating brain function in software. Neurala’s deep learning tech makes robots, drones, cars, consumer electronics, toys and smart devices more useful, engaging and autonomous. Neurala stems out of 10 years of research at Boston University Neuromorphics Lab, where as AI Professor I have pioneered the research and fielding of brain-inspired (also called Deep Learning, or Artificial Neural Networks) algorithms that allow robots and drones to perceive, navigate, interact and learn real-time in complex environments.

Over my academic and industrial career, I have lectured and spoken at dozens of events and venues, including  TEDx, keynote at Mobile World Congress Drone Summit, NASA, the Pentagon, GTC, InterDrone, Los Alamo National Lab, GE, Air Force Research Labs, HP, iRobot, Samsung, LG, Qualcomm, Huawei, Ericsson, BAE Systems, AI World, Mitsubishi, ABB and Accenture, among many others.

My work has been featured in TIME, IEEE Spectrum, Fortune, CNBC, The Boston Globe, Xconomy, The Chicago Tribune, TechCrunch, VentureBeat, Nasdaq, Associated Press and many other media.

Career and company awards include: CB Insights 100 Most Promising AI Companies, Draper Venture Network Most Innovative Company, Disruptor Daily 100 Most Disruptive Companies, Edison Award Best New Product in Social Innovation.

I am a Fulbright scholar, hold several patents and two Ph.Ds: Cognitive and Neural Systems, Boston University; Experimental Psychology, University of Trieste, Italy.

Recent Posts

  • TEDx Cortina
  • Doubt as a Strength: AI’s Journey towards Intelligent Learning
  • Reshaping Our Physical World: The Impact of AI
  • How can my turtle (AI discovery) make it to the ocean?
  • How AI Can Make Us Greener
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