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.
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.
Can China reboot its manufacturing industry—and the global economy—by replacing millions of workers with machines?
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.
Hmmmm.
Technocrat scientists believe they can ‘code’ any kind of future they want, but what about what everyone else wants? These are the overlords of Technocracy who believe that we should just ‘trust them’ to build Utopia. ⁃ TN Editor.
Imagine a future where there is no need to cut down a tree and reshape that raw material into a chair or table. Instead, we could grow our furniture by custom-engineering moss or mushrooms. Perhaps glowing bacteria will light our cities, and we’ll be able to bring back extinct species, or wipe out Lyme disease — or maybe even terraform Mars. Synthetic biology could help us accomplish all that.
That’s the message of the latest video in a new mini-documentary Web series called Explorations, focusing on potentially transformative areas of scientific research: Genomics, artificial intelligence, neurobiology, transportation, space exploration and synthetic biology. It’s a passion project of entrepreneur Bryan Johnson, founder of OS Fund and the payments processing company Braintree.
When you never need to say a word because your AI reads your mind. Who knows; maybe we’ll end up with a new population of introverts and anti-socialists for researchers to study.
Scientists at the University of Rochester have developed a computer model that can predict sentences by looking for brain activity patterns that are associated with different words.
