Lifeboat Foundation

Daimler has announced an upcoming new truck called eEconic, a garbage truck based on the all-electric Mercedes-Benz eActros.

The German automotive company announced the vehicle today:

“The eEconic will at first be offered in the configuration 6×2/N NLA and is mainly in demand as a waste-collection vehicle. Battery-electric trucks are very well suited for urban use in waste management due to the comparatively short and plannable daily routes of up to 100 kilometers with a high proportion of stop-and-go in inner-city traffic. With an anticipatory driving style, electrical energy can be recovered during braking to charge the battery, which further improves range and efficiency.”

UK startup Arrival has generated a lot of buzz with its electric delivery vans, and drummed up ample funding. But now it wants to become a much bigger transportation company — starting with a new electric bus, of which The Verge got an exclusive first look.

“We have also partnered with Texas EquuSearch and the National Center for Missing and Exploited Children to tap into their resources as well. We have participated in ground and air searches on Fort Hood and throughout the central Texas region.” Grey said.

The soldier was last seen between 11:30 a.m. and 12:30 p.m. April 22 in the parking lot of 3rd Cavalry Regiment’s engineer squadron headquarters, where she worked in the armory room. Her car keys, barracks room key, identification card and wallet were later found there.

A survey of millions of people in more than 200 countries shows ethical decisions are never simple.

Sleek — but familiar.

What does this have to do with AI self-driving cars?

AI Self-Driving Cars Will Need to Make Life-or-Death Judgements

At the Cybernetic AI Self-Driving Car Institute, we are developing AI software for self-driving cars. One crucial aspect to the AI of self-driving cars is the need for the AI to make “judgments” about driving situations, ones that involve life-and-death matters.

Develops through 4 pillars: Energy, Innovation in Materials, Powertrain & Vehicle Architecture, Sound & Emotion.

Driverless cars are coming, and they’re likely to make life on the road easier and more convenient — for some of us. But will they create new ethical problems?

Rice University researchers have demonstrated methods for both designing innovative data-centric computing hardware and co-designing hardware with machine-learning algorithms that together can improve energy efficiency by as much as two orders of magnitude.

Advances in machine learning, the form of artificial intelligence behind self-driving cars and many other high-tech applications, have ushered in a new era of computing—the data-centric era—and are forcing engineers to rethink aspects of computing architecture that have gone mostly unchallenged for 75 years.

“The problem is that for large-scale deep neural networks, which are state-of-the-art for machine learning today, more than 90% of the electricity needed to run the entire system is consumed in moving data between the memory and processor,” said Yingyan Lin, an assistant professor of electrical and computer engineering.