After years of alarmist comments from robo-ethicists, futurists, technologists, business leaders and pundits, including Elon Musk, Bill Gates and Stephen Hawking, two journalists bring some reality to the issue.
An interesting article in last week’s Wall Street Journal spawned a series of unfortunate headlines (in a variety of publications) suggesting that Tesla had somehow “solved” the “problem” of “liability” by requiring that human drivers manually instruct the company’s autopilot to complete otherwise-automated lane changes.
(I have not asked Tesla what specifically it plans for its autopilot or what technical and legal analyses underlie its design decisions. The initial report may not and should not be the full story.)
Robot manufacturing started in the US in 1961 when 26 Unimates – the first industrial robots – were made and deployed at a GM factory in Ewing, NJ. But, over the years, manufacturing and manufacturers have moved offshore. Until now.
While robots are being deployed in factories at a high pace, their presence on construction sites is close to nil. However, there are many architectural robotics research projects in academia, and during this decade they will surely start to appear in real-life construction. What will these robots look like?
As we increasingly create spaces where robotic technology interacts with humans, our tendency to project lifelike qualities onto robots raises questions around use and policy. In this We Robot 2015 panel titled “Who’s Johnny? (Anthropomorphizing Robots)”, Kate Darling explores the effects of anthropomorphic framing in the introduction of robotic technology. Moderated by Ken Goldberg.
Google has done over 2.7 million km of testing with their existing fleet, they announced. Now, they will be putting their small “buggy” vehicle onto real streets in Mountain View. The cars will stick to slower streets and are NEVs that only go 25mph.
Lobbying for drone special interests rose from $35 million in 2011 to more than $186 million in 2014. But that is dwarfed by investments in drone makers such as DJI and 3DR, who just raised $75M and $64M.
In Episode 10 we talk with David Blei of Columbia University. We talk about his work on latent dirichlet allocation, topic models, the PhD program in data that he’s helping to create at Columbia and why exploring data is inherently multidisciplinary. We learn about MarkovChainMonte Carlo and take a listener question about how machine learning can make humans more creative.
What should a robot nurse do when a cancer patient begs for more morphine but the supervising doctor is not available to approve the request? Should a self-driving car prevent its owner from taking over manual driving when she is drunk but urgently needs to get her child to the hospital? Which faintly crying voice from the earthquake rubble should a rescue robot follow – the child’s or the older adult’s?
As sales via online retailers steadily increase, so too does the speed with which customers want their goods delivered. Amazon, eBay, and Google all have massive and speedy warehousing operations attempting to meet those needs.
When most people think of AI getting out of control, they almost always point to Terminator or HAL. In ‘Transcendance,’ Johnny Depp, plays Dr. Will Caster, whose work in AI creates PINN, (physically independent neural network), the core of which is used to create a transcendent Caster after he dies of radioactive poisoning from a terrorist group.
Melonee Wise, Erin Rapacki, Katherine Scott, Steffi Paepcke, Dale Bergman. What do these five women have in common? Aside from robotics, not much – they are all role models in robotics in quite different ways. (And that means that there are many opportunities for other women to make robotics their area.)
The sUSB is livestreaming from San Francisco, featuring top names in the unmanned and remote sensing field, including Patrick Egan, Chris Anderson, Whitney Brooks, Michael Drobac, and Andra Keay, and many others. Livestream below.