I never get tired of reading about the glass energy solutions.
Harnessing Big Data Power Promises Greater Rewards for Environment & Businesses
‘Ideal’ energy storage material for electric vehicles developed.
I never get tired of reading about the glass energy solutions.
Harnessing Big Data Power Promises Greater Rewards for Environment & Businesses
‘Ideal’ energy storage material for electric vehicles developed.
“An exclusive inside look at how artificial intelligence and machine learning work at Apple”
NORWELL, Mass.—(BUSINESS WIRE)— Last week, Nature Publishing Group sent the scientific areas of the Internet into a frenzy by publishing a groundbreaking study that proves the positive effects of long-term training with Brain Machine Interfaces (BMI) on patients who have suffered a spinal cord injury (SCI).
The study titled “Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients” was conducted by an international group of scientists, led by the Duke University neurobiologist Miguel Nicolelis and demonstrates that it’s never too late to start intensive therapy.
Alrobot would not be the first robot to hit the sands of Baghdad, but it might become the first to actually fire a weapon.
Back in 2007, the U.S. Army deployed three armed ground robots called the Special Weapons Observation Reconnaissance Detection System, or SWORDS, from weapons maker Foster-Miller (now owned by Qinetiq). SWORDS basically consisted of a Foster-Miller TALON robot armed with a machine gun. But the SWORDS were pulled off the battlefield before they were able to take a single shot.
Kevin Fahey, the Army’s program executive officer for ground forces, explained why the following year at a RoboBusiness Conference in Pittsburgh: “The gun started moving when it was not intended to move.”
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.
China means business; and what will the long-term impacts to SV be? Could the US see a brain drain soon?
China has been encouraging its industrial firms to rise up the value chain through technical innovation and tougher efficiency standards, with the aim of creating globally competitive conglomerates.
It has vowed to be more selective in the way it disburses funds, and aims to cut off credit for non-competitive firms that are unable to upgrade.
The fund is financed by China Reform Holdings Corp Ltd, China Postal Savings Bank, China Construction Bank Corp and Shenzhen Investment Holdings, the notice posted on State-owned Assets Supervision and Administration Commission’s (SASAC) official Weibo platform said.
LONDON—(BUSINESS WIRE)—Technavio’s latest report on the global aircraft synthetic vision system (SVS) market provides an analysis on the most important trends expected to impact the market outlook from 2016–2020. Technavio defines an emerging trend as a factor that has the potential to significantly impact the market and contribute to its growth or decline.
Improved safety standards and changing regulatory scenario to boost the aircraft SVS market until 2020. Tweet this
An SVS is a computer-mediated reality system for aerial vehicles, which uses 3D technology to provide pilots with a clear understanding of their flying environment. It was developed by NASA and the US Air Force in the late 1970s and 1980s, in support of air safety and advanced cockpit research.