Lifeboat Foundation

A startup that spun out of Cambridge University claims a battery breakthrough that can charge an electric car in just six minutes.

It’s something we heard before, but the difference here is that they claim that they can commercialize the new battery as soon as next year.

The startup, Echion Technologies, was founded by Dr. Jean De La Verpilliere while he was studying for his PhD in nanoscience at the University of Cambridge.

Optical microresonators convert laser light into ultrashort pulses travelling around the resonator’s circumference. These pulses, called “dissipative Kerr solitons,” can propagate in the microresonator maintaining their shape.

When solitons exit the microresonator, the output light takes the form of a pulse train—a series of repeating pulses with fixed intervals. In this case, the repetition rate of the pulses is determined by the microresonator size. Smaller sizes enable pulse trains with high repetition rates, reaching hundreds of gigahertz in frequency. These can be used to boost the performance of optical communication links or become a core technology for ultrafast LiDAR with sub-micron precision.

Exciting though it is, this technology suffers from what scientists call “light-bending losses”—loss of light caused by structural bends in its path. A well-known problem in fiber optics, light-bending loss also means that the size of microresonators cannot drop below a few tens of microns. This therefore limits the maximum repetition rates we can achieve for pulses.

The Sur Ron electric motorcycle is one of the most exciting off-road electric motorcycles to hit the scene recently. The high performance yet low-cost electric motorcycle showed off its abilities by smoking a bunch of gas motorcycles to win 1st place in a recent race. Check out the epic video below!

Computer vision is one of the most popular applications of artificial intelligence. Image classification, object detection and object segmentation are some of the use cases of computer vision-based AI. These techniques are used in a variety of consumer and industrial scenarios. From face recognition-based user authentication to inventory tracking in warehouses to vehicle detection on roads, computer vision is becoming an integral part of next-generation applications.

Computer vision uses advanced neural networks and deep learning algorithms such as Convolutional Neural Networks (CNN), Single Shot Multibox Detector (SSD) and Generative Adversarial Networks (GAN). Applying these algorithms requires a thorough understanding of neural network architecture, advanced mathematics and image processing techniques. For an average ML developer, CNN remains to be a complex branch of AI.

Apart from the knowledge and understanding of algorithms, CNNs demand high end, expensive infrastructure for training the models, which is out of reach for most of the developers.

During Amazon’s all-hands meeting in March, CEO Jeff Bezos stated that he is fascinated by the emerging trends in the auto industry. Bezos noted that it was this fascination that ultimately played a part in Amazon’s hefty $700 million investment in electric truck startup Rivian Automotive back in February.

“If you think about the auto industry right now, there’s so many things going on with Uber-ization, electrification, the connected car — so it’s a fascinating industry. It’s going to be something very interesting to watch and participate in, and I’m very excited about that whole industry,” Bezos said.

Bezos’ optimism for emerging industries extends beyond the electric car market. Apart from Rivian, Amazon has also invested in self-driving startup Aurora, hinting that the CEO is also looking to capitalize on autonomous driving technology for the e-commerce giant’s operations in the future. If its investment in Aurora pans out, for example, Amazon would likely gain an optimized solution that would allow the company to deliver shipments to its customers using self-driving machines.

The long-awaited reveal of Tesla’s pickup truck will most likely take place November, Tesla CEO Elon Musk said in response to a Twitter follower’s question.

Tesla’s first crack at one of America’s most popular body styles, which will begin production after the Model Y, has been the topic of much speculation from Tesla and electric vehicle fans collectively. Information regarding the truck is vague, but Elon Musk has released a number of details, most notably a possible 300,000-lb towing capacity.

November most likely.

When talking about the economics of Tesla’s future fleet of robotaxis at the Tesla Autonomy Event, Tesla CEO Elon Musk emphasized that the vehicles need to be durable in order for the economics to work:

“The cars currently built are all designed for a million miles of operation. The drive unit is design, tested, and validated for 1 million miles of operation.”

But the CEO admitted that the battery packs are not built to last 1 million miles.

Porsche just released a new car that can not compete with Tesla, so what to do? Invest in someone who can.

Porsche and Rimac Automobili strengthens their partnership related to high-performance EV technology development.

The German manufacturer initially took 10% of Rimac Automobili and 10% of Rimac’s subsidiary Greyp Bikes in June 2018.

Continue reading “Porsche Increases Its Stake In Rimac Automobili From 10% To 15.5%” »

A Japanese cargo spacecraft loaded with more than four tons of supplies, spare parts and experiment hardware is scheduled to launch from the Tanegashima Space Center in southern Japan to the International Space Station at 5:33 p.m. EDT Tuesday, Sept. 10 (6:33 a.m. Sept. 11 in Japan). Live coverage of the launch and capture will air on NASA Television and the agency’s website.

The Japan Aerospace Exploration Agency (JAXA) unpiloted H-II Transport Vehicle-8 (HTV-8) will launch on a Japanese H-IIB rocket on the tenth anniversary of the first HTV cargo spacecraft launch. Live coverage will begin at 5 p.m.

The spacecraft will arrive at the station Saturday, Sept. 14. Live coverage of the spacecraft rendezvous and capture will begin at 5:30 a.m. Expedition 60 Flight Engineer Christina Koch of NASA, backed up by her NASA crewmate Andrew Morgan, will operate the station’s Canadarm2 robotic arm from the station’s cupola to capture the 12-ton spacecraft as it approaches from below. Robotics flight controllers will then take over the operation of the arm to install HTV-8 to the Earth-facing port of the Harmony module where it will spend a month attached. Flight Engineer Luca Parmitano of ESA (European Space Agency) will monitor HTV-8 systems during its approach to the station.