Skip to main content
  1. Home
  2. Emerging Tech
  3. News

Japan just crushed the high speed rail record with a 366 MPH maglev train

Add as a preferred source on Google

For the past twelve years, Central Japan Railway Company has held the record for fastest maglev train in the world. Back in 2003, the company’s MLX01 train set the bar at 581 kph (361 mph), and for over a decade that record has remained unbeaten. Until now.

This week, the company broke its own record once again. Running on a test track in central Japan’s Yamanashi prefecture, the company’s prototype L0 Series train clocked in at a speed of 590 kph (366 mph). It’s uncertain how long this new record will stand, however. Speaking to the Wall Street Journal, a CJRC spokesman said that another test run is scheduled for next week, and engineers speculate that the train could reach speeds of up to 600 kph (373 mph).

Recommended Videos

fastest train in the worldRelatedTesla’s Elon Musk wants student ‘pod racers’ for his hyperloop test track

These are just preliminary tests though. The Japanese government gave CJRC the green light to start building the train line in October 2014, and it’s not expected to start carrying passengers until 2027. Once it opens for business, the train will only operate at speeds of about 505 kph (313 mph). That’s not quite full throttle, but it’s still pretty damn fast. At those speeds, it’ll be able to ferry passengers from Tokyo to Nagoya (about 220 miles) in about 40 minutes. That’s nuts.

Keep your fingers crossed and we might see trains this fast in the US within the next decade. CJRC is reportedly looking to export its maglev train technology to the States for a line that would connect New York to Washington, DC. The plan is still mostly speculative at this point, but lord knows we need all the help we can get. The US’s high-speed rail system is abysmal compared to that of most other wealthy nations.

Drew Prindle
Former Senior Editor, Features
Drew Prindle is an award-winning writer, editor, and storyteller who currently serves as Senior Features Editor for Digital…
This jacket pulls drinking water straight from the air
Engineers at UT Austin have developed a wearable textile that harvests ambient moisture into drinkable water.
Image showing person wearing a jacket with special fiber that pulls water from air

Engineers at the University of Texas at Austin have built a jacket that pulls drinkable water directly from the air, offering a potential solution for hikers, soldiers, agricultural workers, and emergency responders who operate far from reliable water sources.

How the jacket collects water

Read more
Google built an AI that can see football plays before they happen
DeepMind’s latest research predicts player movement up to eight seconds into the future
Google Deepmind TacticAI Featured

Football managers spend countless hours analyzing corners, free kicks, and player positioning in search of tiny competitive advantages. Google DeepMind believes artificial intelligence can make that process significantly faster, and its latest project, TacticAI, is designed to do exactly that. TacticAI is a football-specific AI assistant capable of modeling player movement, forecasting future play dynamics, and even recommending tactical adjustments for corner kicks. One of its standout abilities is predicting player trajectories up to eight seconds into the future using only broadcast-style visual data.

TacticAI was built with Liverpool FC and validated by football experts

Read more
Radical new coffee-making method uses sound, skips hot water and reduces energy bills
UNSW reserachers brewed espresso with room-temperature water and ultrasonic sound waves, cutting energy use by 75% in blind tests that fooled 100 regular drinkers.
Person brewing espresso in a lab with a modified ultrasonic espresso machine

Researchers at UNSW Sydney have figured out how to brew espresso-strength coffee without heating any water. The method replaces hot water and high pressure with ultrasonic sound waves, and in blind taste tests involving 100 regular coffee drinkers, participants could not tell the two apart.

How it works

Read more