Massimiliano Versace

Massimiliano Versace is co-founder and CEO of Neurala Inc. and founding Director of the Boston University Neuromorphics Lab. He is a pioneer in researching and bringing to market large scale, deep learning neural models that allow robots to interact and learn real-time in complex environments. He has authored approximately forty among journal articles, book chapters, and conference papers, holds several patents, and has been an invited speaker at dozens of academic and business meetings, research and national labs, and companies, including NASA, Los Alamos National Laboratory, Air Force Research Labs, Hewlett-Packard, iRobot, Qualcomm, Ericsson, BAE Systems, Mitsubishi, and Accenture, among others. His work has been featured in over thirty articles, news programs, and documentaries, including IEEE Spectrum, New Scientist, Geek Magazine, CNN, MSNBC and others. Massimiliano is a Fulbright scholar and holds two Ph.Ds: Experimental Psychology, University of Trieste, Italy; Cognitive and Neural Systems, Boston University, USA. He obtained his BS from University of Trieste, Italy.
  • Robots that can think

    February 22, 2016

    (From BU Today) “That is a ball.” “I do believe that is a cone.” “Seems like a wonderful book.” The voice is mechanical and flat, and anyone offering such banal commentary and sounding so bored would surely bomb in a job interview. But in this case, the observations are impressive. They’re made by what looks […]

  • GPU brains for Drones and Cars

    February 17, 2016

    The U.S. Patent Office issued to Neurala, Inc. a new patent (US 9,189,828) that extends the US patent 8,648,867 (Graphic Processor Based Accelerator System and Method) into the domain of real-time control of autonomous machines, such as self-driving cars and drones. While the prior patent covered hardware and software “controllers” that handle most of the […]

  • When less is more: passive sensors and robotics

    February 6, 2016

    When designing robotic platforms, the choice of which sensors to employ is a key area that often determines the Go/No-Go for a final product. This is because the cost of sensors is a huge component of the total cost of robots, and the main challenge in front of effective commercialization of consumer robotic platforms and […]

  • Drones everywhereeeeeeeee!!!

    January 25, 2016

    According to ABI Research, a technology market intelligence firm in Oyster Bay, New York, by 2025, sales of drones to the consumer market are expected to exceed 90 million units and generate $4.6 billion in revenue! ABI said that in 2014, there were 4.9 million drone sales, but the predicted increase in drone sales will […]

  • A cup of coffee can do miracles

    January 20, 2016

    A slightly different post ….. away from robot and GPU! Today, I want to point to a new article titled Resonant Cholinergic Dynamics in Cognitive and Motor Decision-Making: Attention, Category Learning, and Choice in Neocortex, Superior Colliculus, and Optic Tectum was published on Frontiers in Neuroscience (20 January 2016 | http://dx.doi.org/10.3389/fnins.2015.00501). The article, directly derived […]

  • Deep Learning, GPUs, and cheap bodies: three ingredients for ubiquitous intelligent robotics

    December 31, 2015

    There are three main ingredients needed for intelligent robots to be ubiquitous, smart, and useful. I like to call these three ingredients Mind, Brain, and Body. Let’s look at how these three enabling technology have evolved, and why the time is now for the emergent of intelligent machines.

  • A 10 year anniversary: pioneering GPU computing

    December 21, 2015

    Anniversaries are nice, especially in December! So here is one to share with you all: it has been 10 years since Anatoli, Heather, and Max (the 3 co-founders of Neurala) begun tinkering with GPUs and Deep Learning, setting the foundations of Neurala while getting their Ph.D at Boston University. This post is a re-publication of […]

  • Afraid about AI? No

    November 24, 2015

    A few years ago, Heather’s, Anatoli, and myself started Neurala with one goal: bring the results and insights of our Ph.D. work on brain-inspired computing into everyday technology. We wanted this technology to change the way society uses and benefits from machines: rather than each device needing 1 human brain to work, we wanted it […]

  • How Deep in the past go Deep Networks?

    November 17, 2015

    One of the pillars of the recent success (almost viral) of Deep Networks, a subspecies of the bigger class called Neural Networks, is that their execution and training methods are highly conducive to parallelism. The term GPGPU is often use to refer to the backbone of the revolution: General-Purpose computation on Graphics Processing Units. GPUs, […]

  • What is a robot?

    November 9, 2015

    What is REALLY a robot? On the surface, we could quickly define a robot as something matching what movies have taught us: a humanoid-looking thing (or barrel-looking thing with wheels), preferably with two eyes, or only one but very big, scary, and red, emitting human-like sounds. Something that could pass the Turing test, or get […]