Lifeboat Foundation

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.

Continue reading “Artificial Intelligence could help eradicate global poverty” »

Self-assembly; no assembly-line robots and no people need to apply.

Forget factories. MIT’s Self-Assembly Lab is designing devices that snap together in minutes.

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.

Continue reading “A Robot Army To Build Solar Panels (On The Moon)” »

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.

Continue reading “LIDAR on a chip should be 1000 times cheaper and scan 1000 times faster to revolutionize self-driving cars, drones, and robots” »

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.

Continue reading “Uber Debuts Its First Fleet of Driverless Cars in Pittsburgh” »

Can China reboot its manufacturing industry—and the global economy—by replacing millions of workers with machines?

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?

Let software take the wheel.

Is Market Capitalism simply an accident of certain factors that came together in the 19th and 20th centuries? Does the innovation of economics require a new economics of innovation? Is the study of economics deeply affected by the incentive structures faced by economists themselves, necessitating a study of the “economics of economics”? In this broad ranging interview INET Senior Economist Pia Malaney sits down with Eric Weinstein — mathematician, economist, Managing Director of Thiel Capital (as well as her co-author and husband) to discuss these and other issues.

Underlying the seismic shifts in the economy in the last ten years, Dr. Weinstein sees not just a temporary recession brought on by a housing crisis, but rather deep and fundamental shifts in the very factors that made market capitalism the driving force of economic growth for the past two centuries. The most profound of these shifts as Dr. Weinstein sees it, is an end to 20th century style capitalism brought about not by a competing ideology, as many had once feared, but instead by changing technology. As production is driven increasingly by bits rather than atoms, he sees the importance of private goods give way to public goods, undermining a basic requirement of market models. In a different line of thinking, as software becomes increasingly sophisticated it takes on the ability to replace humans not only in low level repetitive tasks but also, with the use of deep learning algorithms, in arbitrarily complex repetitive tasks such as medical diagnosis.

Continue reading “Is Technology Killing Capitalism?” »