Toggle light / dark theme

Sold-out Swedish Jetson ONE personal eVTOL set for delivery in 2022

Swedish flying car maker Jetson will deliver its first batch of Jetson ONE personal eVTOL this year before scaling production in 2023.


Though still young, 2022 is shaping up to be monumental for Swedish flying car developer Jetson, which plans to deliver the first series of its one-passenger personal electric vertical takeoff and landing (eVTOL) vehicle later this year, then turn to outside investors to help scale activity.

Interest in the craft has been even wider than sales figures indicate. The video introducing the Jetson ONE personal eVTOL vehicle has been viewed over 14 million times since going online in October.

Two Self-Driving Shuttle Companies Fail In One Week. What Does It Bode?

Last week saw an announcement that Optimus Ride, an autonomous shuttle company in Boston was purchased in an acqui-hire by Magna, the Ontario based Tier One Automotive company. In an acqui-hire, the company has generally failed, but a buyer pays to pick up the assets and to hire the team, which took time to create. Usually it’s only enough to reward the preferred investors, the team gets options in their new employer.

Optimus Ride built a shuttle on top of the GEM 6-seater electric shuttle platform, adding sensors and their autonomy tools. It evolved out of MIT.

Also announced as shutting its doors was Local Motors, maker of the Olli shuttle. Local Motors began with a focus on 3D printing to make smaller volume vehicles. The started with the Rally Fighter, a vehicle that was crowd designed after contests. Over time, founder Jay Rogers believed that 3D printing could bring a vehicle to production faster and at lower cost than conventional methods than conventional methods, and entered the Shuttle market, partnering with various partners to make them autonomous. Recently, we reported how an Olli shuttle in Whitby, Ontario had a crash resulting in serious injuries. Early reports suggested it was in autonomous mode, but it was later revealed it was being manually driven at the time. That made it mostly a non-story, but the real story of Olli did not go so well, either.

Full Story:


Optimus Ride and Olli, two self-driving shuttle companies failed last week. The self-driving shuttle may not be that good an idea right now, but it has the chance to be the core future of public transportation.

Subaru’s New 1,073 HP Electric Race Car Aims to Break Records

The E-RA comes with a 60kWh battery meaning it likely won’t come with a world-beating range. However, Subaru hopes its new all-wheel-drive machine can excel on the race track. The car features GT-style, high-downforce composite bodywork with cutouts in the body to redirect air away from the wheel wells.

The Japanese automaker aims to set a record-breaking Nürburgring lap time of 6 minutes and 40 seconds by 2023. That would put it ahead of Tesla’s Model S Plaid, which completed the Nürburgring course in 7 minutes and 35 seconds. Before going to Nürburgring, Subaru will test the E-RA at Japanese racing circuits later this year.

Subaru also revealed the Solterra STI Concept on the show floor, a sportier version of its new Solterra all-electric SUV, which was revealed in November last year. Though Subaru didn’t reveal much in the way of specifications, the new Solterra concept features a roof spoiler, under spoilers, and “other special parts on the exterior,” the company says.

MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task

This is lecture 3 of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017. This lecture introduces computer vision, convolutional neural networks, and end-to-end learning of the driving task.

INFO:
Slides: http://bit.ly/2HdXYvf.
Website: https://deeplearning.mit.edu.
GitHub: https://github.com/lexfridman/mit-deep-learning.
Playlist: https://goo.gl/SLCb1y.

Links to individual lecture videos for the course:

Lecture 1: Introduction to Deep Learning and Self-Driving Cars.

Lecture 2: Deep Reinforcement Learning for Motion Planning.
https://youtu.be/QDzM8r3WgBw.

Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task.

Researchers develop AI system capable accelerating learning and yielding process

SEOUL — Using a high-performance artificial intelligence (AI) chip, South Korean researchers have established a system that can accelerate the process of learning data and yielding results. The system capable of performing five thousand trillion operations per second is ideal for autonomous vehicles and AI servers because its chipset is about the size of a coin.

Tunnel-like vaults house cafes and workshops along revitalised Prague waterfront

Architect Petr Janda has transformed a series of vaults on the banks of the Vltava River in Prague into versatile public spaces as part of a project aimed at revitalising the embankment.

The project to transform approximately four kilometres of the Czech capital’s riverbank was initiated in 2009, by which time the former quayside had been deserted for many years.

The embankment area was being used for car parking, with the vaults containing storage units. Janda’s studio Brainwork helped develop a proposal to create a waterfront promenade that reactivates three separate sections of the embankment and introduces new public functions.

For BP, car chargers to overtake pumps in profitability race

LONDON, Jan 14 (Reuters) — BP says its fast electric vehicle chargers are on the cusp of becoming more profitable than filling up a petrol car.

The milestone will mark a significant moment for BP which wants to shift away from oil and expand operations in power markets and around electric vehicles (EV).

EV charging has for years been a loss-making business as a whole for BP and rivals as they invest heavily in its expansion. The division is not expected to turn profitable before 2025 but on a margin basis, BP’s fast battery charging points, which can replenish a battery within minutes, are nearing levels they see from filling up with petrol.