2019’s Top 10 Tech Cars: Honda Insight

It adds electricity in three ways

2 min read
Photo: Honda
Photo: Honda

This Year’s
Winning Autos

Trivia question: What was the first hybrid automobile delivered to the United States, back in 1999? If you answered, the Honda Insight, congratulations! The Insight beat Toyota’s Prius to market by a few months, but Honda’s hybrids have mostly languished in Toyota’s shadow ever since. The new Insight deserves to change that impression. It matches the Prius’s EPA rating of 4.5 liters/100 kilometers (52 miles per gallon) combined city/highway driving, and it triumphs in design, power, price, and performance.

The Insight’s hybrid system starts with a 1.5-liter, 80-kilowatt (107-horsepower) gasoline engine for which Honda claims an impressive 40.5 percent thermal efficiency. That engine is paired with the industry’s first permanent-magnet drive motors that contain no heavy rare-earth metals. A powerful motor drives the front axle and a secondary motor operates as a starter and generator. Combined, the two produce 113 kW (151 horses), 25 percent more than the Prius’s 90 kW (121 hp).

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IEEE Spectrum Wins Six Neal Awards

The publication was recognized for its editorial excellence, website, and art direction

1 min read
A group of smiling people holding two award placards in front of a backdrop for the Jess H. Neal Awards

The IEEE editorial and art team show off two of their five awards.

Bruce Byers/SIIA

IEEE Spectrum garnered top honors at this year’s annual Jesse H. Neal Awards ceremony, held on 26 April. Known as the “Pulitzer Prizes” of business-to-business journalism, the Neal Awards recognize editorial excellence. The awards are given by the SIIA (Software and Information Industry Association).

For the fifth year in a row, IEEE Spectrum was awarded the Best Media Brand. The award is given for overall editorial excellence.

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Hydrogen Helps Make Topological Insulators Practical

This trick could open a path toward practical quantum computing and dissipationless electronics

2 min read
Rendering shows a clear beaker with rendering suspended in liquid of atomic-scale model featuring red and white connected dots floating in liquid. Two  connect above them.

In this image, a beaker of hydrochloric acid (HCl) contains an enlarged model of a submerged sample of a topological insulator. Hydrogen atoms from the HCl [blue dots] bind to the insulator [red and white circles], in the process retaining the insulator’s useful electronic properties while also becoming stable at room temperature.

Lukas Zhao

Future microchips that require far less energy than present-day devices may rely on exotic materials known as topological insulators, in which electricity flows across only surfaces and edges, with virtually no dissipation of energy. However, it can prove tricky developing such materials for real-world applications. Now a new study reveals that simply incorporating hydrogen into topological insulators may control their electronic properties to help make them useful.

Topology is the branch of mathematics that investigates what features of shapes may survive deformation. Material science has emerged in recent decades as an unexpected but compelling application of topology. The insights from topological models, scientists have discovered, help to understand and predict some materials’ unusual properties. These include electromagnetic effects beyond those explained by Maxwell’s Equations as well as quantum particles that could yield new kinds of electronic and optical devices.

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Bridge the Gaps in Your ADAS Test Strategy

Full-scene emulation in the lab is key to developing robust radar sensors and algorithms needed to realize ADAS capabilities

1 min read
Keysight
Keysight

Achieving the next level in vehicle autonomy demands robust algorithms trained to interpret radar reflections from automotive radar sensors. Overcome the gaps between software simulation and roadway testing to train the ADAS / AV algorithms with real-world conditions. Sharpen your ADAS' radar vision with full-scene emulation that allows you to lab test complex real-world scenario, while emulating up to 512 objects at distances as close as 1.5 meters.

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