” “There is going to be a boom for design companies, because there’s going to be so much information people have to work through quickly,” said Diane B. Greene, the head of Google Compute Engine, one of the companies hoping to steer an A.I. boom. “Just teaching companies how to use A.I. will be a big business.” ”
Back in 2014, we told you about Rise, a film about a robot insurgency that was the subject of a Kickstarter campaign. The result of the $38,000 raised is this proof of concept video, which definitely looks good enough to deserve a full feature.
Rise comes from director David Karlak and writers Marcus Dunstan and Patrick Melton (Feast). It’s one of those classic robot revolution stories. Of course, in this case you find yourself in the awkward position of rooting for the failure of humans, but that’s sometimes how these things shake out. Plus, it’s always easier to side with Anton Yelchin than Rufus Sewell.
This is clearly a pitch for some studio to give them money to make a full thing, and it’s one of the most successful of that genre I’ve ever seen. There’s clearly a story in mind and Karlak’s vision looks great in these five minutes.
My new article for TechCrunch on capitalism and the robot revolution:
Economic experts are trying to figure out a question that just two decades ago seemed ridiculous: If 90 percent of human jobs are replaced by robots in the next 50 years — something now considered plausible — is capitalism still the ideal economic system to champion? No one is certain about the answer, but the question is making everyone nervous — and forcing people to dig deep inside themselves to discover the kind of future they want.
After America beat Russia in the Cold War, most of the world generally considered capitalism to be the hands-down best system on which to base economies and democracies. For decades, few doubted capitalism’s merit, which was made stronger by thriving globalization and a skyrocketing world net worth. In 1989 — when the Berlin Wall fell — the world had only 198 billionaires. Now, according to Forbes, there are 1,826 of them in 2016.
Despite growing riches, when banks collapsed in 2007 during the Great Recession, the world stepped back and wondered aloud if a more nuanced approach to economic progress was needed. These doubts of 21st century capitalism helped set the stage for an economic paradigm shift just starting to appear — economists observing jobs not just disappearing to other countries, but disappearing off the face of the Earth. The culprit: robots and software.
At first, the warnings of this weren’t very loud. After all, economies and companies thrive because of modernization, which includes upgrading with new tech to make and save money. But in the last year, a growing chorus of people are beginning to see a tipping point, maybe a decade in the future, where tens of millions of jobs may be lost in as short as a five-year period — which would be many more times the jobs lost during the Great Recession.
Synthetic biology involves creating or re-engineering microbes or other organisms to perform specific tasks, like fighting obesity, monitoring chemical threats or creating biofuels. Essentially, biologists program single-celled organisms like bacteria and yeast much the same way one would program and control a robot.
But 10 years ago, it was extremely challenging to take a DNA sequence designed on a computer and turn it into a polymer that could implement its task in a specific host, say a mouse or human cell. Now, thanks to a multitude of innovations across computing, engineering, biology and other fields, researchers can type out any DNA sequence they want, email it to a synthesis company, and receive their completed DNA construct in a week. You can build entire chromosomes and entire genomes of bacteria in this way.
“Biology is the most powerful substrate for engineering that we know of,” said Christopher Voigt, Professor of Biological Engineering at MIT. “It’s more powerful than electrical engineering, mechanical engineering, materials science and others. Unlike all the other fields, we can look at what biology is already able to do. When we look at the natural world, we see things like the brain. That’s a complex place computing, electrical engineering and computer science can’t reach. The brain even constructs nanostructures very deliberately, something materials science has not accomplished.”
Today, Lawrence Livermore National Lab (LLNL) and IBM announced the development of a new Scale-up Synaptic Supercomputer (NS16e) that highly integrates 16 TrueNorth Chips in a 4×4 array to deliver 16 million neurons and 256 million synapses. LLNL will also receive an end-to-end software ecosystem that consists of a simulator; a programming language; an integrated programming environment; a library of algorithms as well as applications; firmware; tools for composing neural networks for deep learning; a teaching curriculum; and cloud enablement.
The $1 million computer has 16 IBM microprocessors designed to mimic the way the brain works.
IBM says it will be five to seven years before TrueNorth sees widespread commercial use, but the Lawrence Livermore test is a big step in that direction.
DARPA’s new “Spectrum Collaboration Challenge” with a $2million prize for who can motivate a machine learning approach to dynamically sharing the RF Spectrum.
WASHINGTON, March 28, 2016 /PRNewswire-iReach/ — On March 23rd, 2016 DARPA announced its next Grand Challenge at the International Wireless Conference Expo in Las Vegas, Nevada. Program Manager, Paul Tilghman of DARPA’s Microsystems Technology Office (MTO), made the announcement to industry leaders following the conferences Dynamic Spectrum Sharing Summit. The challenge will motivate a machine learning approach to dynamically sharing the RF Spectrum and has been named the “Spectrum Collaboration Challenge.” A top prize of $2million dollars has been announced.
While mostly transparent to the typical cell phone or Wi-Fi user, the problem of spectrum congestion has been a long standing issue for both the commercial sector and Department of Defense. The insatiable appetite for wireless connectivity over the last 30 years has grown at such a hurried pace that within the RF community the term spectrum scarcity has been coined. RF bandwidth, the number of frequencies available to communicate information over, is a relatively fixed resource, and advanced communication systems like LTE and military communications systems consume a lot of it. As spectrum planners prepare for the next big wave of connected devices, dubbed the Internet of Things, they wonder where they will find the spectrum bandwidth they need to support these billions of new devices. Equally challenging, is the military’s desire to connect every soldier on the battlefield, while using these very same frequencies.
DARPA has chosen Barone Consulting to help develop the Spectrum Collaboration Challenge to address these critical infrastructure and military operation needs. In the tradition of other DARPA Grand Challenges, the Spectrum Collaboration Challenge provides an opportunity for experts across a wide variety of disciplines to devise groundbreaking strategies and systems and compete in open competition to win prizes, while advancing the state-of-the-art and seeding new technology communities. For the Spectrum Collaboration Challenge, the tasks are to combine distributed sensing techniques, innovative RF transmit and receive technologies, and cutting edge machine learning algorithms to create radio networks capable of learning to collaborate with other unknown radio networks, in real time.
Looking for partners.
[Via Satellite 03-28-2016] The U.S. Defense Advanced Research Projects Agency (DARPA) is reviving its in-orbit servicing efforts through a new public-private partnership program called Robotic Servicing of Geosynchronous Satellites (RSGS). Under the RSGS vision, the partners would join a DARPA-developed modular toolkit, including hardware and software, to a privately developed spacecraft to create a commercially owned and operated Robotic Servicing Vehicle (RSV). DARPA would contribute the robotics technology, such as the previously developed Front End Robotic Enabling Near-Term Demonstration (FREND) robotic arm, expertise, and a government-provided launch. The commercial partner would contribute the satellite to carry the robotic payload, integration of the payload, and the mission operations center and staff.
DARPA seeks to develop and demonstrate the RSV on orbit within the next five years. The agency’s goals include demonstrating safe, reliable, useful and efficient operations in or near Geostationary Earth Orbit (GEO), demonstrating on live GEO satellites in collaboration with commercial and U.S. government spacecraft operators, and supporting the development of a servicer spacecraft with sufficient propellant and payload robustness to enable dozens of missions over several years.
DARPA plans to kick off the public-private partnership via a program solicitation in the near future. Shortly thereafter, DARPA will host a proposers day to provide potential partners with further details about the RSGS program. The agency plans to share the solicitation along with the date and location of the proposers day on the Federal Business Opportunities (FBO) website in the future.
