Car Industry Self-driving cars are on the way — but does the public understand their abilities and limits? Toyota Automakers and suppliers are working hard to develop autonomous cars and other self-driving technologies. But ensuring members of the public understand what those technologies can do — and also what they can’t do — is a different challenge. That’s why Audi, Daimler, General Motors, Toyota, Volkswagen, Waymo and several suppliers have founded a new partnership to provide that information.PAVE, or the Partners for Automated Vehicle Education coalition, was announced at a press conference at CES on Monday. The group intends to teach people about self-driving technology using three key strategies. First, PAVE will work to get both consumers and policymakers (i.e. legislators) behind the wheel with driver-assistance technology. Second, the group will hold educational workshops on the technologies for legislators. And finally, PAVE will offer “educational materials” that car dealers and service centers can offer to customers. Although the coalition also hopes to reduce the number of crashes and fatalities on American roads, PAVE does not necessarily plan to endorse only certain types of technologies. “It’s not about lobbying for one specific type of technology or one way to do things,” says Deborah Hersman, president and CEO of the National Safety Council, one of PAVE’s members. Instead, she says, the goal is “to help Americans better understand the potential and the promise of these technologies.” “We want to dispel the confusion about this technology that’s often misunderstood,” Hersman said. “We will provide clear and factual information so consumers understand this technology and what to expect.” Post a comment For automakers, many of whom are already PAVE members, the group’s education efforts should also ensure that car shoppers understand the benefits of driver-assist features in new models, as well as future self-driving cars. “No matter how good or ready the technology is, we need to ensure that society develops a level of trust with this automated technology,” said Kelly Kay, executive vice president of the Toyota Research Institute. Kyle Vogt, founder of Cruise Automation, agreed with the need for more public education. He said that his company likens today’s push for autonomy to the space race — the difference is, he said, that it’s being led by private companies who need to build trust with consumers. “People need to understand the technology to feel comfortable with it and ultimately to trust it with their lives,” he said. 9 Photos Share your voice 2020 BMW M340i review: A dash of M makes everything better CES 2019 Tags 2020 Hyundai Palisade review: Posh enough to make Genesis jealous 2020 Kia Telluride review: Kia’s new SUV has big style and bigger value Self-driving cars: Stay up to date on all the latest news in autonomy.CES 2019 schedule: It’s six days of jam-packed events. Here’s what to expect. Here’s the self-driving car you can take around Las Vegas during CES More From Roadshow 85 Photos All the cool new gadgets at CES 2019 0 Audi Toyota Self-driving cars
Share Courtesy Houston College of LawA federal judge agreed with the University of Houston that the Houston College of Law name is too similar to that of UH’s law school.An attorney says a downtown Houston law school will change its name again to end a federal trademark lawsuit filed by the University of Houston System.The Houston Chronicle reports the Houston College of Law, formerly the South Texas College of Law, will announce its new name by Nov. 4 in a court agreement reached Wednesday.The University of Houston System in June sued the Houston College of Law after the moniker change was announced. The system’s law school is the University of Houston Law Center.UH officials objected to the competing law school’s new name, saying it was confusing to consumers.Houston College of Law attorney Lynne Liberato says merchandise and billboards touting the June name change will be removed. The new name will also honor a benefactor.
(PhysOrg.com) — As one of the newest research areas today, the field of magnonics is attracting researchers for many reasons, not the least being its possible role in the development of transistor-less logic circuits. Information presented at the first conference on magnonics last summer in Dresden has spurred a cluster of papers that focus on the recent progress in the field. In one of these studies, Alexander Khitun, Mingqiang Bao, and Kang L. Wang from the University of California at Los Angeles have shown that magnonic logic circuits could offer some significant advantages – in spite of some disadvantages – that may allow them to not only compete with but also outperform transistor-based CMOS logic circuits. This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. Copyright 2010 PhysOrg.com. All rights reserved. This material may not be published, broadcast, rewritten or redistributed in whole or part without the express written permission of PhysOrg.com. While the amplitude-encoding approach has benefits including low power consumption due to the low energy of the spin wave signal, the researchers here think that the phase-encoding approach is more promising. This is because the phase-encoding approach enables different frequencies to be used as separate information channels, allowing parallel data processing in the same device. The capability of multi-channel data processing would provide a fundamental advantage over existing switch-based logic circuitry, and could lead to performance rates beyond the limits of today’s technology.“The greatest potential advantage of magnonic logic circuits is the ability to process information in parallel on different frequencies, which is not possible for CMOS-based logic,” Khitun told PhysOrg.com. Khitun, Bao, and Wang have previously fabricated a prototype magnonic device that operates in the GHz frequency range and at room temperature. However, in order for magnonic logic circuits to take advantage of their potential benefits, researchers will have to find solutions to several challenges. For instance, current prototypes will require increased energy efficiency and will need to be scaled down to the submicrometer range in order to compete with CMOS logic circuits. In comparison, there is still plenty of room to scale down the size of transistors, although power dissipation will likely make further scaling inefficient in the CMOS architecture. Another challenge for the magnonic phase-encoding approach in particular is the requirement for a bi-stable phase element to provide the output on two phases. In their analysis, the researchers note that one candidate is a device called the magnetic parametron, which was invented in the early days of magnetic computers more than 50 years ago. Interestingly, the parametron-based magnetic computers originally competed with transistor-based computers, which eventually proved to be the better option. Yet the magnetic parametron may now provide magnonic logic circuits the ability to live up to their potential.Other challenges for magnonic logic circuits include minimizing the inductive crosstalk between input and output ports, demonstrating some components of the circuits that have not yet been realized, and ensuring that the spin wave devices are compatible with conventional electron-based devices to enable efficient data exchange. Although the development of high-performance magnonic logic circuits will face challenges, Khitun, Bao, and Wang conclude that the advantages are significant enough to justify extensive research. Overall, the researchers predict that, even if the magnonic logic circuits don’t fully replace CMOS logic circuits, they may provide complementary components by offering low-power-consuming hardware for certain general and special task data processing. More information: Alexander Khitun, Mingqiang Bao, and Kang L. Wang. “Magnonic logic circuits.” J. Phys. D: Appl. Phys. 43 (2010) 264005 (10pp). doi:10.1088/0022-3727/43/26/264005 Explore further This figure compares CMOS logic and magnonic logic in terms of throughput (the number of operations per area per time) as a function of the minimum feature size, which is the gate length for CMOS and the wavelength for a spin wave circuit. According to the projected estimates, spin logic may provide a throughput advantage of more than three orders of magnitude over CMOS due to the fact that the throughput of the spin circuit is inversely proportional to the wavelength. However, the throughput of demonstrated spin logic prototypes is currently far below current CMOS technology. Image credit: Alexander Khitun, et al. Spintronic transistor is developed The field of magnonics gets its name from spin waves and their associated quasi-particles called magnons, which have attracted scientific interest since the 1950s. Spin waves can generate collective spin excitations in magnetically ordered materials; by controlling the surrounding magnetic field, researchers can also control spin excitations and use them, for example, to carry and process information. Over the past few years, researchers have been investigating how to exploit spin wave phenomena to make logic circuits, which are the basis of data processing in electronic devices. Whereas CMOS logic circuits use electric current to store and transfer data, magnonic logic circuits use spin waves propagating in magnetic waveguides. By avoiding electric currents, magnonic logic circuits have the potential to enable more efficient data transfer and enhanced logic functionality, including parallel data processing.On the other hand, spin waves are known to have properties that present disadvantages for data processing, which include having a group velocity that is more than 100 times slower than the speed of light, and an attenuation (reduction of signal strength) that is more than 1,000,000 times higher than for photons. However, as chip density has increased and the distances between components have become smaller, the slow velocity and high attenuation have become less problematic. Now, fast signal modulation has become more important, which spin waves can provide due to their short wavelength and long coherence length. As the researchers explain in their analysis, a magnonic logic circuit can encode a bit of information in two ways: through either the amplitude or the phase of the spin wave. In the first working spin wave-based logic device demonstrated in 2005, Mikhail Kostylev and coauthors used the amplitude-encoding approach. They split the spin wave into two paths, which would later interfere with each other either constructively or destructively. The interference creates two opposite amplitudes that represent the 0 and 1 logic states. In the second approach, a spin wave propagating through an inverter waveguide undergoes a half-wavelength phase change. The original phase ‘0’ and the inverted phase ‘π’ can then be used to represent the logic states 0 and 1, respectively. Citation: Researchers analyze the future of transistor-less magnonic logic circuits (2010, June 28) retrieved 18 August 2019 from https://phys.org/news/2010-06-future-transistor-less-magnonic-logic-circuits.html
Opinions expressed by Entrepreneur contributors are their own. This hands-on workshop will give you the tools to authentically connect with an increasingly skeptical online audience. Free Workshop | August 28: Get Better Engagement and Build Trust With Customers Now Futurists of the 1950s and ’60s predicted that by the 2000s, flying cars and airborne robots would be a part of our everyday lives. Instead, we live in a world dominated by live streaming, smartphones and social networks.Related: Make Innovation Systematic and Never Again Ask ‘Why Didn’t We Think of That?’While those forecasters didn’t quite get the timing right, they got the technology right. Today, we are at the brink of another technological boom. This time, technologies like self-driving vehicles and robot assistants are under development. Soon, these and the other exciting technologies described below will go mainstream, changing the world in the process.1. Voice assistantsIn four years, the majority of American households are expected to own a voice assistant device like an Amazon Echo or an Apple Homepod. Thanks to the power of artificial intelligence (AI), voice assistants will grow increasingly helpful.Even today, Amazon releases regular updates to Echo in order to help owners get more from the technology. The company recently reported seeing larger-than-expected gains from its voice assistant, which is why Amazon is now doubling down on the technology.Voice assistants are making a significant impact in markets across the globe, and some observers expect that in the future we will communicate with technology through voice rather than text.2. CrisprImagine a world where crushing genetic diseases like Huntington’s and cystic fibrosis can be cured. Thanks to crispr, genetic disease may be eliminated.CRISPR Cas-9 (an abbreviation standing for “Clustered Regularly Interspaced Short Palindromic Repeats”) is a gene-splicing technology capable of finding and removing mutated sections of DNA. Once this material is eliminated, crispr technology can replace the mutated sections with non-mutated variants.As a result, crispr has the power to permanently eliminate certain types of genetic diseases from blood lines. The technology has already been used to eliminate cancer in some patients, and early results show that it may be possible to cure genetically caused blindness as well.3. Robot assistantsCompanies like Boston Dynamics have already developed a wide variety of robot assistants that can be used in factories or on the battlefield. The company originally started as an arm of MIT and has since pioneered the development of intelligent robots that operate effectively in the real world.Knightscope is another company working on a line of robot assistants for security applications. For example, its K5 robot features four cameras and can recognize 300 licenses plates per minute, per camera. It can also detect suspicious networks that may be operated by hackers.Related: How to Innovate for the Next 100 Years4. Augmented and mixed realityJust a few years ago, it was unclear whether augmented or mixed reality would take off. Given the fact that tech giants like Apple are investing billions of dollars in augmented reality hardware, it’s pretty clear that it’s only a matter of time before the tech goes mainstream.For example, Apple’s latest phones are equipped with augmented reality capabilities, and a recent report suggests that the company is working on an AR headset that will replace the iPhone in two to three years.5. Regenerative medicineThough it may sound like science fiction, doctors are already producing made-to-order body parts. To get started, doctors scrape cells off the body part in question and grow them in a petri dish. In time, the body part grows strong enough that it can be implanted inside the patient.One company, Organovo, has developed a printer capable of 3D printing body parts. In time, this new technology will become increasingly mainstream, providing patients with lifesaving organ replacements.6. Driverless vehiclesAutomakers like Tesla, General Motors and Volvo have already developed semi-autonomous vehicles. But self-driving technology is rapidly evolving. General Motors announced that it will launch a car that has no steering wheel or pedals by 2019.Uber, meanwhile, is leading the push for pilotless flying vehicles, and has teamed up with NASA to develop an air-traffic-control system. Uber is also working with aircraft manufacturers to develop prototypes, with the intention of launching a beta program in 2020.7. Reusable rocketsOne of the costliest aspects of space exploration is the building of sophisticated and powerful rockets capable of transporting thousands of pounds of equipment into space. The fact that we have figured out how to land rockets — even the large ones used to launch the Falcon Heavy — will help to reduce the cost of space travel.8. CryptocurrencyAt one point this year, Bitcoin was worth more than $19,000 per coin, and while the value of the cryptocurrency has since declined, a single coin is still worth thousands of dollars.Cryptocurrency may be controversial today, but it has steadily become increasingly mainstream. Some of the largest hedge funds are betting on Bitcoin — which is just the beginning of a cryptocurrency revolution.Platforms like TrustToken are poised to connect the global trading power of blockchains with real-world assets. On the TrustToken platform, the owners of an asset — a home, a small business or gold — would be able to sell factions of those assets, and coordinate the asset’s ownership through unique blockchain-based tokens. As a result, sellers can make illiquid assets liquid, and buyers can gain control of a diverse portfolio of assets.Other crypto platforms like HybridBlock are designed to give crypto enthusiasts greater access to silo-trading markets, helping to expand the industry to a new wave of crypto enthusiasts. By offering mobile-friendly products, HybridBlock is providing the Asia market with a new form of crypto education and the tools to execute crypto trades.9. Quantum computingThe typical computer uses a series of zeros and ones to communicate information. While today’s computers are quite powerful, they still have considerable limitations that make it difficult to process challenging machine-learning problems.Quantum computers rely on quantum bits to carry information. These bits can exist in a state which allow quantum computers to process challenging datasets much better than traditional computers do. As a result, quantum computing can help to produce serious machine-learning breakthroughs that might otherwise be impossible solve.While the technology is still in its early stages, companies like Microsoft and Google are investing billions in developing supercomputers capable of developing highly accurate predictive models. These models can be used in everything from self-driving cars to marketing campaigns.10. Artificial intelligence and automationSome of the world’s biggest brands are increasingly turning to automation in order to better serve customers and to reduce costs. Big-box retailers use automated warehouses to sort and ship products, while social media networks use automation to moderate comments, and credit card companies use automation to detect fraud.For example, Synapse is building a network that gives anyone the ability to contribute his or her data and train automation and machine-learning models. The implications here are massive, because a new AI economy, including decentralized blockchain AI, could change the way businesses operate and learn around the world.Related: How I Established a Culture of Virtual InnovationIndeed, it’s just a matter of time before that happens. 6 min read March 12, 2018 Enroll Now for Free