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Category: robotics/AI

Want to be the next Captain Kirk or Spock; we’re getting more close of being a Star Trek & Star Wars world with drones and fighter jets with death lasers, cyborgs with BMI technology, sabers being developed, and now the Star Trek phaser is being developed.

Every year Star Trek’s futuristic sci-fi technology comes closer to just being “technology.” We live in a world where video chats, communicators, and real-time translators are normal, where androids are becoming more and more realistic and food replicators are almost here thanks to 3D printing. The next step? Phasers!

Next month the Smithsonian Channel will air a two-hour Star Trek special to celebrate the show’s 50th Anniversary, which will take a look at some of the technologies the show predicted. In this just-released segment of Building Star Trek, future phaser use is predicated by laser scientist Rob Afzal of Lockheed Martin who, let’s be honest, has one of the coolest titles in the world. (“What do you do?” “I’m a LASER SCIENTIST.”)

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Among others, the Pentagon is funding the Lockheed Martin Falcon Hypersonic Technology Vehicle 2 (HTV-2) program; the Raytheon Hypersonic Air-breathing Weapon Concept (HAWC) and the Raytheon/Lockheed Tactical Boost Glide (TBG) program.

HTV-2 is a multiyear research and development effort to increase the technical knowledge base and advance critical technologies to make long-duration hypersonic flight a reality. The Falcon HTV-2 is an unmanned, rocket-launched, maneuverable aircraft that glides through the Earth’s atmosphere at Mach 20.

HAWC is a joint DARPA/ Air Force effort to develop and demonstrate critical technologies that enable an effective and affordable air-launched hypersonic cruise missile. It will pursue flight demonstrations to address three critical technology challenges: air vehicle feasibility, effectiveness, and affordability.

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Another spin on AI in how it eradicates poverty; hmmm.

Eradicating extreme poverty, measured as people living on less than $1.25 US a day, by 2030 is among the sustainable development goals adopted by United Nations member states last year.

A team of computer scientists and satellite experts created a self-updating world map to locate poverty, said Marshall Burke, assistant professor in Stanford’s Department of Earth System Science.

It uses a computer algorithm that recognizes signs of poverty through a process called machine learning, a type of artificial intelligence, he said. Results of the two-year research effort have been published in the journal Science.

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As the global headcount nears 8 billion, our thirst for kilowatts is growing by the minute. How will we keep the lights on without overheating the planet in fossil fuel exhaust? Alternative energy is the obvious choice, but scaling up is hard. It would take an area the size of Nevada covered in solar panels to get enough energy to power the planet, says Justin Lewis-Weber, “and to me, that’s just not feasible.” This past March, Lewis-Weber, a then-high school senior in California, came up with a radical plan: self-replicating solar panels—on the moon.

Here’s the gist: When solar panels are orbiting Earth, they enjoy 24 hours of unfiltered sunshine every day, upping their productivity. Once out there, they could convert that solar radiation into electricity (just as existing solar panels do) and then into microwave beams (using the same principle as your kitchen appliance). Those microwaves then get beamed back to Earth, where receivers convert them back into electricity to power the grid. Simple! Except that Lewis-Weber estimates that building and launching thousands of pounds of solar panels and other equipment into space will be outrageously expensive, in the range of hundreds of trillions of dollars.

Instead, he suggested, why not make them on the moon? Land a single robot on the lunar surface, and then program it to mine raw materials, construct solar panels, and (here’s the fun part) make a copy of itself. The process would repeat until an army of self-replicating lunar robot slaves has churned out thousands of solar panels for its power- hungry masters.

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DARPA and MIT are leading an effort to take what are now bulky expensive Light Imaging, Detection, And Ranging (LIDAR) systems and make them small enough to fit on a microchip.

LIDAR is one of the key parts of Google’s self driving car.

MIT’s Photonic Microsystems Group is developing a lidar-on-a-chip system that is smaller than a dime, has no moving parts, and could be mass-produced at a very low cost for use in self-driving cars, drones, and robots.

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Starting later this month, Uber will allow customers in downtown Pittsburgh to summon self-driving cars from their phones, crossing an important milestone that no automotive or technology company has yet achieved. Google, widely regarded as the leader in the field, has been testing its fleet for several years, and Tesla Motors offers Autopilot, essentially a souped-up cruise control that drives the car on the highway. Earlier this week, Ford announced plans for an autonomous ride-sharing service. But none of these companies has yet brought a self-driving car-sharing service to market.

Uber’s Pittsburgh fleet, which will be supervised by humans in the driver’s seat for the time being, consists of specially modified Volvo XC90 sport-utility vehicles outfitted with dozens of sensors that use cameras, lasers, radar, and GPS receivers. Volvo Cars has so far delivered a handful of vehicles out of a total of 100 due by the end of the year. The two companies signed a pact earlier this year to spend $300 million to develop a fully autonomous car that will be ready for the road by 2021.

The Volvo deal isn’t exclusive; Uber plans to partner with other automakers as it races to recruit more engineers. In July the company reached an agreement to buy Otto, a 91-employee driverless truck startup that was founded earlier this year and includes engineers from a number of high-profile tech companies attempting to bring driverless cars to market, including Google, Apple, and Tesla. Uber declined to disclose the terms of the arrangement, but a person familiar with the deal says that if targets are met, it would be worth 1 percent of Uber’s most recent valuation. That would imply a price of about $680 million. Otto’s current employees will also collectively receive 20 percent of any profits Uber earns from building an autonomous trucking business.

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Baidu is a fixture of online life in China, but it wants to become a global power. Can one of the world’s leading artificial intelligence researchers help it challenge Silicon Valley’s biggest companies?

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