Charging station manufacturer Tritium (Nasdaq: DCFC) has formed a partnership with Wise EV, a subsidiary of renewable energy service provider Wise Power, to provide DC fast chargers for a new national EV charging network.
The new network is expected to start with 25 locations at Florida gas stations. Florida is the number-two US state for EV sales, and received the third largest state allocation under the new National Electric Vehicle Infrastructure (NEVI) Formula Program Guidance.
Wise EV plans to build its network using a hub-and-spoke strategy, centering the charging around metropolitan hubs and connecting those cities with Interstate highways as spokes. The eventual goal is to build a coast-to-coast charging network. The company plans to establish its metropolitan charging hubs in 2022, and connect those hubs with Interstate charging spokes in 2022 and 2023.
Visit https://brilliant.org/Veritasium/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription. Digital computers have served us well for decades, but the rise of artificial intelligence demands a totally new kind of computer: analog.
▀▀▀ References: Crevier, D. (1993). AI: The Tumultuous History Of The Search For Artificial Intelligence. Basic Books. – https://ve42.co/Crevier1993 Valiant, L. (2013). Probably Approximately Correct. HarperCollins. – https://ve42.co/Valiant2013 Rosenblatt, F. (1958). The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. Psychological Review, 65, 386–408. – https://ve42.co/Rosenblatt1958 NEW NAVY DEVICE LEARNS BY DOING; Psychologist Shows Embryo of Computer Designed to Read and Grow Wiser (1958). The New York Times, p. 25. – https://ve42.co/NYT1958 Mason, H., Stewart, D., and Gill, B. (1958). Rival. The New Yorker, p. 45. – https://ve42.co/Mason1958 Alvinn driving NavLab footage – https://ve42.co/NavLab. Pomerleau, D. (1989). ALVINN: An Autonomous Land Vehicle In a Neural Network. NeurIPS, 1305-313. – https://ve42.co/Pomerleau1989 ImageNet website – https://ve42.co/ImageNet. Russakovsky, O., Deng, J. et al. (2015). ImageNet Large Scale Visual Recognition Challenge. – https://ve42.co/ImageNetChallenge. AlexNet Paper: Krizhevsky, A., Sutskever, I., Hinton, G. (2012). ImageNet Classification with Deep Convolutional Neural Networks. NeurIPS, (25)1, 1097–1105. – https://ve42.co/AlexNet. Karpathy, A. (2014). Blog post: What I learned from competing against a ConvNet on ImageNet. – https://ve42.co/Karpathy2014 Fick, D. (2018). Blog post: Mythic @ Hot Chips 2018. – https://ve42.co/MythicBlog. Jin, Y. & Lee, B. (2019). 2.2 Basic operations of flash memory. Advances in Computers, 114, 1–69. – https://ve42.co/Jin2019 Demler, M. (2018). Mythic Multiplies in a Flash. The Microprocessor Report. – https://ve42.co/Demler2018 Aspinity (2021). Blog post: 5 Myths About AnalogML. – https://ve42.co/Aspinity. Wright, L. et al. (2022). Deep physical neural networks trained with backpropagation. Nature, 601, 49–555. – https://ve42.co/Wright2022 Waldrop, M. M. (2016). The chips are down for Moore’s law. Nature, 530144–147. – https://ve42.co/Waldrop2016
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TOKYO, March 4 (Reuters) — Japan’s Panasonic Corp (6752.T) is looking to purchase land in the United States for a mega-factory to make a new type of electric vehicle (EV) battery for Tesla Inc (TSLA.O), public broadcaster NHK reported on Friday.
Panasonic is looking at building the factory, to cost several billion dollars, in either Oklahoma or Kansas close to Texas, where Tesla is preparing a new EV plant, NHK reported. NHK gave no timeline for Panasonic’s U.S. project.
NHK did not cite the source of its information. Panasonic said the reported plan was not something it announced.
Tesla has released footage unveiling its pre-fabricated system to deploy new Supercharger stations in record time.
This new one in Florida was built in just over a week.
Tesla is currently growing its Supercharger network at an impressive rate.
The automaker went from 23,277 Superchargers at 2,564 stations at the end of 2020 to 31,498 Superchargers at 3,476 stations at the end of 2021. That’s growing at a 35% year-over-year pace.
Yet the United States lacks an organized response. The weekly reports of ransomware attacks and data breaches make it clear that we’re losing this battle. That’s why America’s leaders must rethink the current cyberdefense system and rally around a centralized regulator to defend both citizens and the private sector against current and future attacks.
The decentralized nature of the American government does not lend itself to fighting foreign cyberthreats. Government agencies handle cyberregulation and threats in the sectors they oversee — an inefficient and ineffective way to address an issue that cuts across our entire economy. In just the past few months, the D.H.S.’s Transportation Security Agency announced new cybersecurity requirements for pipelines and railroads; the Federal Communications Commission put out its own proposal for telecommunication companies; the Securities and Exchange Commission voted on rules for investment advisers and funds; and the Federal Trade Commission threatened to legally pursue companies that fail to fix a newly detected software vulnerability found in many business applications. And on Capitol Hill, there are approximately 80 committees and subcommittees that claim jurisdiction over various aspects of cyberregulation.
These scattered efforts are unlikely to reduce, let alone stop, cybercrime.
“It might look disconcerting to see a @LockheedMartin Martin @Sikorsky Black Hawk helicopter flying itself…but, don’t worry, we’ve got this! DARPA’s ALIAS technology just enabled the first ever flight of this iconic chopper…with nobody onboard. https://www.darpa.mil/news-events/2022-02-08
It might look disconcerting to see a @LockheedMartin Martin @Sikorsky Black Hawk helicopter flying itself…but, don’t worry, we’ve got this! DARPA’s ALIAS technology just enabled the first ever flight of this iconic chopper…with nobody onboard. https://t.co/El9GkznLmwpic.twitter.com/TvxrmHQVLH
Turbojet engines are an incredible piece of 20th century engineering that except for some edge cases, have mostly been replaced by Turbofans. Still, even the most basic early designs were groundbreaking in their time. Material science was applied to make them more reliable, more powerful, and lighter. But all of those incredible advances go completely out the window when you’re [Joel] of [Integza], and you prefer to build your internal combustion engines using repurposed butane canisters and 3D printed parts as you see in the video below the break.
To understand [Integza]’s engine, a quick explanation of Turbojet engines is helpful. Just like any other internal combustion engine, air is compressed, fuel is burned, and the reaction produces work. In a turbojet, a compressor compresses air. Fuel is added in a combustor and ignited, and the expanding exhaust drives a turbine that in turn drives the compressor since both are attached to the same shaft. Exhaust whose energy isn’t spent in turning the turbine is expelled and produces thrust, which propels the engine and the vehicle it’s attached to in the opposite direction. Simple, right? Right! Until the 3D printer comes in.
Sadly for 3D printed parts, they are made of plastic. Last we checked, plastic isn’t metal, and so 3D printing a turbine to give the extremely hot exhaust something turn just isn’t going to work. But what if you just skipped the whole turbine part, and powered the compressor with an electric motor? And instead of using an axial compressor with tons of tiny blades that would likely be impossible to 3D print with enough strength, you went with a sturdy, easy to print centrifugal compressor? Of course, that’s exactly what [Integza] did, or we wouldn’t be talking about it. The results are fantastic, especially considering that the entire machine was built with 3D printing and a home made spot welder.
Tesla’s Fremont Factory could have its production capacity increased, according to CEO Elon Musk. Tesla is “considering expanding [Fremont] significantly,” Musk said in a Tweet last night.
Following Musk’s heavily publicized jab at President Joe Biden on Tuesday night for not mentioning Tesla in the State of the Union Speech with the likes of Ford and GM, who received Biden’s praise for electric vehicle projects resulting in employment opportunities. While Biden commended Ford for $11 billion invested and 11,000 new jobs and GM for $7 billion and 4,000 new employment opportunities in Michigan, Musk hit back with a valid point.
“Tesla has created over 50,000 US jobs building electric vehicles & is investing more than double GM + Ford combined,” he said, alerting “the person running this account” to give Tesla more credit.
