HIGH 5! Here is the news update of the latest trends from the global technology and startup scene. HIGH 5 is published by Lab1886. This week’s topics are:
Update on overhead-line truck trial +++ Drone algorithm analyzes forested terrain +++ Full-service charging infrastructure +++ Classifying AI +++ EVs compensate for grid fluctuations
Since early May, a logistics company has been testing a hybrid truck on Germany’s A5 autobahn. The truck is powered by an overhead line over a 5-kilometer (3-mile) stretch of road. It can also drive up to 15 kilometers (9 miles) on battery power, but usually runs on a combustion engine. The result? A 10-percent fuel saving per 1,000 kilometers (620 miles). The vision: Because 70 percent of German goods vehicles travel on just 4,000 kilometers (2,485 miles) of autobahn, multiple 15-kilometer sections of road would be enough to recharge them.
Source: next-mobility.news (German)
Algorithms // UAV
Researchers at Intel Labs and the Center for Research and Advanced Studies at Mexico’s National Polytechnic Institute have co-developed a programming framework for enabling self-guided drone to navigate over unknown, densely forested or “cluttered” terrain. An algorithm on board a drone was able to deliver very good results in real time. The algorithm uses a depth sensor to map the terrain’s surface, then works with a path generation model to produce reliable motion plans.
Working with TankE, Cologne-based energy supplier RheinEnergie has already connected 20 municipal utilities to a nationwide network of 600 charging stations. In a joint venture with France’s Spie Group, the company hopes to build a full-service offering that will include single-source planning, construction, management and maintenance of the charging infrastructure.
Source: Automobilwoche (German)
One way to classify AIs is to assign various levels of intelligence based on the extent to which they can replicate human abilities. The simplest are reactive machines, followed by limited-memory machines – currently in widespread use as chatbots or in autonomous vehicles. Further evolutionary stages could include (currently hypothetical) self-aware machines. But the first human-equivalent abilities would only appear in Artificial General Intelligences (AGIs), subsequently trumped by Artificial Superintelligences (ASIs) – which would finally enable us to achieve singularity!
Electric cars, buses, trucks and trains could compensate for grid fluctuations. Researchers at Fraunhofer IFF are working with Krebs engineers and the University of Magdeburg to develop smart charging management systems. The E-Mobility4Grid Service project is exploring techniques for bidirectional charging, as well as management and siting strategies for charging stations. This would allow EV batteries to act as buffers for electricity grids supplied by multiple energy sources.
Source: electrive.net (German)
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