The world has changed, and the protagonists of this change are small, agile, laser-focused startups that quickly innovate and deploy products in the market at a fraction of the cost of what a large enterprise can do. The ‘democratization of high tech innovation’ is a pervasive trend in both commercial and defense applications, and the trend has been picked up by the US Department Of Defense (DoD).
May 13, 2016|
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 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?
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 applications. This is true at all levels: from inexpensive consumer robots, to drones (which had payload issues, among others!), all the way to self-driving cars. Read the rest of this entry »
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. Read the rest of this entry »
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 an earlier post based on our work on AMD GPUs. Funny to say, much of the techniques, which are now in an awarded patent, are still the backbones of Neurala's tech. But let's get back to the past!
By Anatoli Gorchetchnikov, Heather Ames, Massimiliano Versace
The last post on GPU made me think of a project Anatoli Gorchetchnikov, Heather Ames and myself embarked on in 2006 when we got really interested in general purpose computing on graphic processing cards. At the time, there was no CUDA or OpenGL available: programming GPUs was really tough. But we tried, with some very good results, to port some of the models we used on GPUs. Here is how we did it. Read the rest of this entry »
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.
Read the rest of this entry »
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 »
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 »
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.
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 »