- The Distributed Robotic Garden (MIT) — We consider plants, pots, and robots to be systems with different levels of mobility, sensing, actuation, and autonomy. (via Robohub)
- CogniToys Leverages Watson’s Brain to Befriend, Teach Your Kids (IEEE) — Through the dino, Watson’s algorithms can get to know each child that it interacts with, tailoring those interactions to the child’s age and interests.
- How Machine Learning Ate Microsoft (Infoworld) — Azure ML didn’t merely take the machine learning algorithms MSR had already handed over to product teams and stick them into a drag-and-drop visual designer. Microsoft has made the functionality available to developers who know the R statistical programming language and Python, which together are widely used in academic machine learning. Microsoft plans to integrate Azure ML closely with Revolution Analytics, the R startup it recently acquired.
- Handling Five Billion Sessions a Day in Real Time (Twitter) — infrastructure porn.
Does the way a brain is wired determine how we think and behave? Recent research points to a resounding yes.
One of the age-old questions has been whether the way a brain is wired, negating other attributes such as intracellular systems biology, will give rise to how we think and how we behave. We are not at the point yet to answer that question regarding the human brain. However, by using the well-mapped connectome of the nematode Caenorhabditis elegans (C. elegans, shown above), we were able to answer this question as a resounding yes, at least for simpler animals. Using a simple robot (a Lego Mindstorms EV3) and connecting sensors on the robot to stimulate specific simulated sensory neurons in an artificial connectome, and condensing worm muscle excitation to move a left and right motor on the robot, we observed worm-like behaviors in the robot based purely on environmental factors. Read more…
Soft, or compliant, robots can be safer, lighter, more efficient, and easier to control.
As we get ready to launch the 2015 version of Solid, our conference about the intersection between software and the physical world, I’ve been revisiting some lessons from Solid 2014.
For instance, Saul Griffith, founder and principal scientist at Other Lab, advises that many machines would do well to skip solidity altogether. Soft, or compliant, robots can be safer, lighter, more efficient, and easier to control. In his work with compliant robots, Griffith has managed to substitute intelligent controls for mass—replacing atoms with bits.
Watch Griffith’s entire Solid 2014 talk below. If you’d like to be notified when the Solid 2015 call for proposals goes up and when tickets become available, be sure to sign up for the O’Reilly IoT+ newsletter.
For more videos from Solid 2014, visit our Solid YouTube playlist.
A melting pot of technologists, makers and product minds will lead to a new wave of robotics companies.
Editor’s note: this post originally published on Chen’s blog Beyond the Bell Curve; this edited version is republished here with permission.
A couple years ago, I dug deep into the robotics space because I thought we were seeing the birth of exciting next-generation robotics companies that would reshape the way our society lives and thinks. Companies like Rethink Robotics, Industrial Perception, and Redwood Robotics emerged to tackle factory and warehouse logistics. Willow Garage was gaining notoriety for being a center of robotics talent and innovation that spawned many of these companies. Meanwhile, Amazon had just acquired Kiva for $775M, driving even more entrepreneurial excitement.
Where are these players now? Rethink had a well-publicized round of layoffs, and Willow Garage ceases to exist. Industrial Perception and Redwood Robotics were part of Google’s robotics shopping spree, and while acquisitions can inspire activity like Kiva’s did, Google’s purchases may have had the opposite effect. In one fell swoop, many of the most entrepreneurial and talented roboticists were shuttered away from the world. I often worry that this has caused the entire field to take a step back, or at least is a major progress inhibitor. No longer will the acquired talent build and support new technology for others to build upon, at least for now. What Google decides to do with the talent they purchased will have big ramifications for how the industry and field move forward. There’s potential for a positive outcome here. Perhaps these groups eventually will leave Google with an understanding of best practices in building and operating a business, something Google is quite good at. Read more…