Lifeboat Foundation

See also: Elon Musk Says Robots Will Help Tesla Catch Up to Apple in Value

So why won’t other auto manufacturers follow suit and overtake Tesla? First, their products, as well as their factories, are bogged down by legacy. Tesla’s electric cars are significantly easier to manufacture than internal combustion (IC) vehicles. Tesla’s Model S has fewer than 20 moving parts, compared with almost 1,500 moving parts in an IC-engine car. This means that there are fewer steps in the assembly process, fewer suppliers to deal with, and lower inventory of components and parts. Further, Tesla doesn’t have to deal with a unionized workforce, a complex supply chain, or a legacy dealer network. Free from this legacy, Tesla can embrace disruptive innovation without worrying about the backlash from workers, suppliers, and dealers.

To become as big as Apple one day, Tesla will need more than the “Henry Ford” approach to manufacturing. It will also need the “Steve Jobs” approach to marketing by creating a vast global appetite for its products. The Apple iPhone is a global product that can be sold from New York to Mumbai to Beijing with very little incremental investment. However, Tesla’s cars require the creation of infrastructure for charging and a distribution network from scratch—a very expensive and time-consuming process. Tesla will need to build out its charging network and distribution reach, country by country. China is an important overseas market for Tesla, as is Scandinavia; it also has a rollout plan for India with its Model 3.

IN AN effort to mine precious metals potentially worth trillions of dollars and aid interstellar travel, China has unveiled plans to build a base on an asteroid, likely to happen “in the near future”.

Ye Peijian, the chief commander and designer of the Chinese Lunar Exploration Program, revealed details that could potentially put an unmanned craft on an asteroid and mine the rock for metals like palladium, platinum and others that are used in items such as smartphones and cars.

“In the near future, we will study ways to send robots or astronauts to mine suitable asteroids and transport the resources back to Earth,” Peijian said in comments reported by China Daily.

Continue reading “A single asteroid could contain $50 billion worth of precious minerals” »

Abbott received the European CE Mark and is introducing its Confirm Rx Insertable Cardiac Monitor (ICM). Still sporting St. Jude Medical’s logo, now part of Abbott, the Confirm Rx features wireless Bluetooth connectivity to a paired app on the patient’s smartphone. This allows for transmission of cardiac event data to the patient’s cardiologist from just about anywhere there is cellular connectivity.

Unlike other similar devices, you don’t need a separate transmitter, like the Merlin system that has typically been employed, taking up space near the bed. And you can freely travel without having to bring another dedicated device.

Cardiac monitors such as these are used to detect heart arrhythmias in order to help identify their causes and triggers. Patients have them implanted under the skin in a procedure that takes only a few minutes, and then go about their usual days while being continuously monitored, with data uploading to a central hub on a regular basis.

Continue reading “Abbott Releases First Insertable Cardiac Monitor That Works with Your Smartphone” »

Yes, this works with the financial profile of “middle class” American families.

(Tech Xplore)—RethinkX, an independent think tank that analyzes and forecasts disruptive technologies, has released an astonishing report predicting a far more rapid transition to EV/autonomous vehicles than experts are currently predicting. The report is based on an analysis of the so-called technology-adoption S-curve that describes the rapid uptake of truly disruptive technologies like smartphones and the internet. Additionally, the report addresses in detail the massive economic implications of this prediction across various sectors, including energy, transportation and manufacturing.

Rethinking Transportation 2020–2030 suggests that within 10 years of regulatory approval, by 2030, 95 percent of U.S. passenger miles traveled will be served by on-demand autonomous electric vehicles (AEVs). The primary driver of this unfathomably huge change in American life is economics: The cost savings of using transport-as-a-service (TaaS) providers will be so great that consumers will abandon individually owned vehicles. The report predicts that the cost of TaaS will save the average family $5600 annually, the equivalent of a 10 percent raise in salary. This, the report suggests, will lead to the biggest increase in consumer spending in history.

Continue reading “Analysis predicts extremely disruptive, total transition to EV / autonomous vehicles in 13 years” »

If you wear a smartwatch, you know how limiting it is to type it on or otherwise operate it. Now European researchers have developed an input method that uses a depth camera (similar to the Kinect game controller) to track fingertip touch and location on the back of the hand or in mid-air, allowing for precision control.

Continue reading “Precision typing on a smartwatch with finger gestures” »

UK artificial intelligence (AI) startup Babylon has raised $60 million (£47 million) for its smartphone app which aims to put a doctor in your pocket.

The latest funding round, which comes just over a year after the startup’s last fundraise, means that the three-year-old London startup now has a valuation in excess of $200 million (£156 million), according to The Financial Times.

Babylon’s app has been downloaded over a million times and it allows people in UK, Ireland, and Rwanda to ask a chatbot a series of questions about their condition without having to visit a GP.

Continue reading “Investors backed an AI startup that puts a doctor on your smartphone with $60 million” »

A new Google Maps feature to find your parked car just went live on Android and iOS.

In the past 10 years, the best-performing artificial-intelligence systems—such as the speech recognizers on smartphones or Google’s latest automatic translator—have resulted from a technique called “deep learning.”

Deep learning is in fact a new name for an approach to artificial intelligence called neural networks, which have been going in and out of fashion for more than 70 years. Neural networks were first proposed in 1944 by Warren McCullough and Walter Pitts, two University of Chicago researchers who moved to MIT in 1952 as founding members of what’s sometimes called the first cognitive science department.

Neural nets were a major area of research in both neuroscience and computer science until 1969, when, according to computer science lore, they were killed off by the MIT mathematicians Marvin Minsky and Seymour Papert, who a year later would become co-directors of the new MIT Artificial Intelligence Laboratory.

Hyper-connectivity has changed the way we communicate, wait, and productively use our time. Even in a world of 5G wireless and “instant” messaging, there are countless moments throughout the day when we’re waiting for messages, texts, and Snapchats to refresh. But our frustrations with waiting a few extra seconds for our emails to push through doesn’t mean we have to simply stand by.

To help us make the most of these “micro-moments,” researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a series of apps called “WaitSuite” that test you on vocabulary words during idle moments, like when you’re waiting for an instant message or for your phone to connect to WiFi.

Continue reading “Learn a language while you wait for WiFi” »