The rate of innovation in machine learning is simply off the chart -- what is possible today was barely on the drawing board even a handful of years ago. At Amazon, this has manifested in a robotic system that can not only identify potential space in a cluttered storage bin, but also sensitively manipulate that bin's contents to create that space before successfully placing additional items inside -- a result that, until recently, was impossible. This journey starts when a product arrives at an Amazon fulfillment center (FC). The first order of business is to make it available to customers by adding it to the FC's available inventory. In practice, this means picking it up and stowing it in a storage pod.

BEGIN ARTICLE PREVIEW: Autonomous functions for robots, such as spontaneity, are highly sought after. Many control mechanisms for autonomous robots are inspired by the… END ARTICLE PREVIEW READ MORE FROM SOURCE ARTICLE

Robots and their control software can be classified as a dynamical system, a mathematical model that describes the ever-changing internal states of something. There is a class of dynamical system called high-dimensional chaos, which has attracted many researchers as it is a powerful way to model animal brains. However, it is generally hard to gain control over high-dimensional chaos owing to the complexity of the system parameters and its sensitivity to varying initial conditions, a phenomenon popularized by the term "butterfly effect." Researchers from the Intelligent Systems and Informatics Laboratory and the Next Generation Artificial Intelligence Research Center at the University of Tokyo explore novel ways for exploiting the dynamics of high-dimensional chaos to implement humanlike cognitive functions. "There is an aspect of high-dimensional chaos called chaotic itinerancy (CI) which can explain brain activity during memory recall and association," said doctoral student Katsuma Inoue.

We're bringing TC Sessions: Robotics AI back to UC Berkeley on March 3, and we're excited to announce our jam-packed agenda. For months we've been recruiting speakers from the ranks of the most innovative founders, top technologists and hard-charging VCs working in robotics and AI, and the speaker line-up will capture the remarkable acceleration across the field in the past year. New for this year, we will be hosting our very first pitch-off competition for early-stage robotics companies. There is still time to submit your application. What better way to mark the occasion than to grab an early-bird ticket ($150 savings) right now and right here before prices increase.

As we get ready for TechCrunch Sessions: Robotics AI on April 18 at UC Berkeley, we can't help but look back at last year's robotics event. With more than 1,000 attendees, thought-provoking panels and cutting-edge demos, 2018's TC Sessions: Robotics was pretty great. We've compiled some highlights of some of our favorite moments from last year to whet your appetite for 2019's current speaker lineup. Check out the highlights below and be sure to grab your Early-Bird ticket for this April's TC Sessions: Robotics AI. Boston Dynamics CEO Marc Raibert announced onstage that the company's 66-pound SpotMini robot will be available for purchase by the normals in 2019. Yes, one day you, too, will be able to have a dog robot perform services for you at the office or home.

Kids with autistic conditions sometimes work with robots to help them better distinguish emotions. Now, scientists at MIT are using artificial intelligence to make sure these robots understand the children they're working with. When therapists use robots for kids with Autism Spectrum Disorders (ASD), they do so to demonstrate how to better understand emotions and socialize in a more general population. A study in 2012 showed several "potential advantages to using interactive robots" with ASD children. Robots like Milo or NAO can walk, talk and even mimic human facial expressions.

Your public school education exists, in large part, thanks to the Second Industrial Revolution. When the revolution took hold of America in the 1870s, 30 years after the end of the first, half of the US population still spent their days toiling in fields. Education was typically voluntary, assuming the family was wealthy enough to afford tutors or school fees, and usually reserved for boys. With the development of commercial fertilizer and the internal combustion engine, productivity exploded while the number of farmers dropped to less than two percent of the population. It lessened the demand for child labor which in turn led to increased support for compulsory education for both sexes.

Content marketers (myself included) like to make bold predictions about the future. And as a general rule, everything's always a bit more amplified than it needs to be. When we predict a new search engine algorithm update, it's not a "small but significant change in rankings," it's a "game changer." When we predict the future of a given strategy, we either hail it as the future of marketing or predict its fast and inglorious death. So when you see my headline about the "death" of content marketing to robotic artificial intelligence (AI), I don't blame you if you're skeptical.