Lifeboat Foundation

Under his plan, “Justice and Safety for All,” Bernie Sanders wants to ban facial recognition software for policing. As a supporter of Sanders, I’m going to have to respectfully disagree. Here’s why…

Last Sunday, presidential-hopeful Bernie Sanders released on his website what is arguably one of the most extensive plans for law enforcement oversight and criminal justice overhaul that the United States has ever seen. As a progressive, myself, and supporter of Sanders during his primary run, I fully endorse everything that’s been laid out in this plan— that is, except for one minor policy.

The plan, titled “Justice and Safety for All,” calls to “Ban the use of facial recognition software for policing.” It also calls for a “moratorium on the use of the algorithmic risk assessment tools in the criminal justice system until an audit is completed,” whereby the audit would “ensure these tools do not have any implicit biases that lead to unjust or excessive sentences.”

Continue reading “Bernie Sanders Wants to Ban Facial Recognition for Policing, I Disagree” »

When speaking about robots, people tend to imagine a wide range of different machines: Pepper, a social robot from Softbank; Atlas, a humanoid that can do backflip made by Boston Dynamics; the cyborg assassin from the Terminator movies; and the lifelike figures that populate the television series — West World. People who are not familiar with the industry tend to hold polarized views. Either they have unrealistically high estimations of robots’ ability to mimic human-level intelligence or they underestimate the potential of new researches and technologies.

Over the past year, my friends in the venture, tech, and startup scenes have asked me what’s “actually” going on in deep reinforcement learning and robotics. The wonder: how are AI-enabled robots different from traditional ones? Do they have the potential to revolutionize various industries? What are their capabilities and limitations? These questions tell me how surprisingly challenging it can be to understand the current technological progress and industry landscape, let alone make predictions for the future. I am writing this article with a humble attempt to demystify AI, in particular, and deep reinforcement learning enabled robotics, topics that we hear a lot about but understand superficially or not at all. To begin, I’ll answer a basic question: what are AI-enabled robots and what makes them unique?

The U.S. Defense Advanced Research Projects Agency (DARPA) kicked off the Subterranean Challenge in December 2017, with the goal of equipping future warfighters and first responders with tools to rapidly map, navigate, and search hazardous underground environments. The final winner of the four-event competition won’t be selected until 2021, but Team Explorer from Carnegie Mellon University and Oregon State University managed to best rivals for the initial prize.

On four occasions during the eight-day Tunnel Circuit event, which concluded today, each team deployed multiple robots into National Institute for Occupational Safety and Health research mines in South Park Township, Pennsylvania, tasked with autonomously navigating mud and water and communicating with each other and a base station for an hour at a time as they searched for objects. Team Explorer’s roughly 30 university faculty, students, and staff members leveraged two ground robots and two drones to find 25 artifacts in its two best runs (14 more than any other team), managing to identify and locate a backpack within 20 centimeters of its actual position.

“Mobility was a big advantage for us,” said team co-leader Sebastian Scherer, associate research professor in Carnegie Mellon’s Robotics Institute, in a statement. “The testing [prior to the event, at Tour-Ed Mine in Tarentum, Pennsylvania] was brutal at the end, but it paid off in the end. We were prepared for this … We had big wheels and lots of power, and autonomy that just wouldn’t quit.”

I always wondered what the future of cars would look like, and now Bentley has given me a nice perspective.

This is the Bentley EXP100GT. It is one of the stand out cars from Pebble Beach this year! Come with me as I take you through the features and what their vision is for the next 100 years. This is also where you get to see the car drive autonomously!

Continue reading “The Bentley From The Year 2035!” »

Vulcan rocket on Bezos engines.

The first American spacecraft expected to land on the moon in nearly 50 years will be an unmanned robotic lander.

The aerospace company Astrobotic Technology told Reuters it expects to launch the spacecraft named Peregrine in the summer of 2021 from Florida’s Cape Canaveral. The company said Peregrine will be the first American spacecraft to land on the moon since Apollo astronauts last touched down there in 1972. The mission will bring technology and experiments to the moon to prepare for human flights by 2024.

Continue reading “Plan for First US Mission to the Moon Since Apollo Landing” »

The 2019 World Robot Conference is held in Beijing, China from August 20 to 25, 2019. The 5th annual expo showcases over 700 exhibits of the latest robotic technologies with more than 21 industrial applications.

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Washington (AFP) — Amazon, Microsoft and Intel are among leading tech companies putting the world at risk through killer robot development, according to a report that surveyed major players from the sector about their stance on lethal autonomous weapons.

Dutch NGO Pax ranked 50 companies by three criteria: whether they were developing technology that could be relevant to deadly AI, whether they were working on related military projects, and if they had committed to abstaining from contributing in the future.

“Why are companies like Microsoft and Amazon not denying that they’re currently developing these highly controversial weapons, which could decide to kill people without direct human involvement?” said Frank Slijper, lead author of the report published this week.

Judges are far from being infallible. For example, in psychologist Daniel Kahneman’s book Thinking Fast and Slow, it was shown that there is a correlation between the leniency of a judge in court, and how recently they had eaten lunch.

Is there a way to get around this problem? According to China and Estonia, AI should be the judge — literally.

RELATED: A NEW AI TOOL CAN HELP US FIGHT AI-WRITTEN FAKE NEWS AND REVIEWS

BOSTON — Sea Machines Robotics Inc. this week said it has entered into a cooperative agreement with the U.S. Department of Transportation’s Maritime Administration to demonstrate the ability of its autonomous technology in increasing the safety, response time and productivity of marine oil-spill response operations.

Sea Machines was founded in 2015 and claimed to be “the leader in pioneering autonomous control and advanced perception systems for the marine industries.” The company builds software and systems to increase the safety, efficiency, and performance of ships, workboats, and commercial vessels worldwide.

Continue reading “Sea Machines Robotics to demonstrate autonomous spill response” »