business

As interesting as it is to study the academic research into neuromorphic engineering, it is equally interesting to look at how the private industrial landscape is being transformed by these developments. Neurally inspired technologies are quickly changing how business is being done and are of increasing importance as more data is collected with few tools available to intelligently process the data.

  • GPU brains for Drones and Cars

    By Massimiliano Versace | February 17, 2016

    Slide1-300x225The 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 primitive operations needed to set up and control Deep Networks and Neural Networks on a GPU, the current patent extends the prior one by providing specific indication on how to this system could control real-time operating machines, such as drones and self-driving cars.

    Why is this important?

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  • Drones everywhereeeeeeeee!!!

    By Massimiliano Versace | January 25, 2016

    drones_everywhereAccording 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 create a compound annual growth rate of 30.4 percent over the next 10 years.

    Full article available in this link!

    LINK.

  • How Deep in the past go Deep Networks?

    By Massimiliano Versace | 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, chips whose main technological push comes from huge revenues from the gaming market, and more recently are finding their ways into mobile devices, are in reality high-performance many-core processors that can be used to accelerate a wide range of applications, going from physics, to chemistry, to computer vision, to neuroscience. And, of course, Deep Networks.
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  • What is a robot?

    By Massimiliano Versace | 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 close to graduating at it.
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  • Superhuman

    By Massimiliano Versace | November 2, 2015

    What if having human, or even superhuman Artificial Intelligence (let’s call it SuperAI) would turn out NOT to be the worst nightmare of humankind? What, after dogs, SuperAI is the biggest friend of Homo Sapiens? We have all seen movies in which AI turns against humans, with robots ranging from the ‘ethereal’ (was it on the cloud?) Hal to embodied metal-made Terminators, to a mix of the two, e.g. Ultron in the latest Avengers. But what if humankind would be doomed without SuperAI? Read the rest of this entry »

  • TEDx Fulbright: Max Versace of Neurala Talks About The Future of Robotics

    By Massimiliano Versace | April 6, 2014

    If an alien watched all the videos on YouTube, he would think that the world was full of robots. But, it's not. Why not? What will it take to get robots out of YouTube and into the real world? Read the rest of this entry »

  • Brain computing on GPUs

    By Massimiliano Versace | February 15, 2014

    It is no mystery to Neurdons that I have been intrigued in the use of GPU for neural computing. The term GPGPU stands for General-Purpose computation on Graphics Processing Units. GPUs, chips whose main technological push comes from huge revenues from the gaming and mobile market, are in reality high-performance many-core processors that can be used to accelerate a wide range of applications, going from physics, to chemistry, to computer vision, to neuroscience. Neurala, a company I have help to co-found, has been awarded a patent by the U.S. Patent Office. The patent, officially issued to Anatoli Gorchetchnikov, Heather Ames, Fabrizio Santini, and Massimiliano Versace, covers brain-based computational models running on GPUs. We see this invention as an important foundation for real-time artificial intelligence and robotics applications. Read the rest of this entry »

  • The Motley Fool on Robotics: Here Are 4 Key Things You Should Know

    By Massimiliano Versace | January 17, 2014

    The Motley fool weighs in on the Robotics Stocks investments for 2014, providing insights on the main things (they claim, 4!) you should keep in mind. While the scene is still dominated by industrial robots, and by iRobot in task-specific cleaning bots (vacuum robots, among other things), the recent acquisition of several robotic companies by Google (including Boston Dynamics last month, inventor of Big Dog and Atlas, animal and human-like robots that can perform some impressive tasks) has created a surge of interest in the robotic market. The Motley Fool instructs investors in essential things you should know if you're considering investing in robotics stocks. And they are four... Read the rest of this entry »

  • The Future of Robotics Summit – Feeding the Body, Brain and Mind

    By Massimiliano Versace | December 16, 2013

    What will it take to get robots out of YouTube and into our day to day lives? Max Versace, Director of the Boston University Neuromorphics Lab, talks about the state of the art in robotic bodies, brains and minds.  He says that in just a few years, it will be robotic intelligence that will make the next leap forward.

    In just a little more than 10 minutes, Dr. Versace presented the trends in a compelling presentation at the MassTLC Future of Robotics Summit on December 13, 2013. Watch the video and go on a journey to Mars and the brain of a mouse.

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  • Qualcomm Neural Processing Unit, Zeroth

    By Massimiliano Versace | October 24, 2013

    One talk stood out this year from MIT Technology Review’s EmTech conference on October 8th. This was Matt Grob, Qualcom CTO. Matt announced the company’s development of a new class of standardized, biologically inspired “neuromorphic” hardware, the Zeroth processors. Read the rest of this entry »