In today’s video we will be covering: Tesla, Toyota, Lithium Battery Safety, Solar Roadways, Solar Train, and Brain-Computer Interface and more news.
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First we will cover the Tesla FSD Update:
My Tesla received an update about two weeks ago that allows me to use Full Self-Driving, or FSD, for longer distances without frequently engaging the “Steering Wheel Nag.” This Nag requires the driver to apply slight torque to the steering wheel, ensuring the driver is paying attention to the road. Prior to the update, I had to activate the steering wheel sensors every few minutes to confirm attentiveness. After the update, I was able to drive about 75 miles without needing to engage the Steering Wheel Nag. The Tesla is able to reduce the Nag by relying more on the internal camera that monitors the drivers alertness.
I did have to break the FSD control several times as the FSD still does have some issues to work out but it has made some major improvements since I first started using FSD.
I’ve been part of Tesla’s Beta FSD program since 2021, which allows me to test new software updates for FSD before they are widely released and send feedback to Tesla. While I enjoy being part of this program and contributing data, I am only a volunteer and the data is automatically gathered by Tesla. I do not have any direct contact with Tesla its-self.
Tesla Level 4 Charge Stations:
Tesla has unveiled its new V4 Superchargers, capable of delivering up to 500 kW of power, allowing the Cybertruck to charge at 1,300 Miles per Hour. These chargers feature 10-foot charging cables and Magic Dock adapters. Currently, 17 V4 Superchargers have been deployed across North America, marking the initial rollout of this next-generation charging technology. Some Tesla models will not be able to use a V4 charge station at its full potential.
Toyota 2024 BZ4X
Toyota has released the 2024 BZ4X, an all-electric SUV. It offers both front-wheel drive and all-wheel drive configurations with ranges up to 252 for the Front Wheel Drive version.
There will be a link to the official website for the BZ4X in the description below.
Toyota is expecting to have EVs with a 500 mile range released in 2026. Then Toyota is projecting to have EVs with a 745 mile range in 2027.
AI Predicts Lithium Battery Fires by “Listening” to Them
Researchers at the National Institute of Standards and Technology (NIST) have developed an AI system capable of detecting when a lithium-ion battery is at risk of catching fire. By analyzing the subtle sounds batteries emit during operation, the AI can identify irregularities that precede thermal runaway events. This breakthrough has significant implications for industries relying on lithium batteries, from electric vehicles to smartphones, by potentially preventing catastrophic failures.
Solar Roadways
A Solar Roadway is a road surface embedded with solar panels that generate electricity. The concept integrates advanced solar technology directly into the infrastructure of roads, parking lots, sidewalks, and other paved areas, enabling them to serve dual purposes: supporting vehicular and pedestrian traffic while producing renewable energy.
The Americas’ largest solar panel installation project has begun construction, promising to significantly bolster renewable energy capacity in the region. This project is estimated to consist of 52 Billion solar panels, projected to produce about 60% of our electrical needs, and is planned to be built as a roof over current highways. At the moment it seems that there is only one Solar Street in America where the solar panels are built directly into the asphalt on the street so cars can drive on top of the solar panel. This Solar Roadway is located in Peachtree Corners, Georgia, it was installed in late 2020 using WattWay road panels.
Solar-Powered Train:
California has plans for building a 128 Billion solar powered train. Included in the cost will be the train body, batteries to be stored on the train, a 552 acre solar farm, and tracks. The train will be able to hit speeds of 220 Miles Per Hour. Construction is projected to start in 2026. I believe the United States is lacking in public transportation and I hope that this will help make public transportation better.
BCI or Brain-Computer Interface
Advancements in neurotechnology have led to the development of non-invasive brain-computer interfaces (BCIs) capable of decoding continuous language from brain activity. Researchers at the University of Texas at Austin have created a system that translates brain signals into text without the need for surgical implants. This innovation combines functional magnetic resonance imaging (fMRI) to monitor brain blood flow with AI language models, enabling the interpretation of unspoken thoughts.
In the study, participants listened to storytelling podcasts while undergoing fMRI scans. The AI model analyzed the brain’s responses to specific phrases, establishing a correlation between neural patterns and language. By integrating a language model, the system predicted coherent word sequences, allowing for the decoding of imagined speech. Although the decoder doesn’t capture every word precisely, it effectively conveys the general meaning of thoughts. For example, in some cases it may translate a word such as Apple as Fruit instead.
This breakthrough has significant implications for individuals unable to speak due to medical conditions. It offers a potential means of communication by translating their thoughts into speech. However, the technology also raises ethical concerns regarding mental privacy and consent, emphasizing the need for careful consideration as it progresses.
While the current system requires an fMRI machine, future developments aim to create more accessible and portable versions. The integration of AI and neuroimaging represents a significant step toward understanding and interpreting human thought processes, with the potential to transform communication methods for those with speech impairments.
Also making progress in the BCI field, Meta, the parent company of Facebook, Instagram, and WhatsApp, has developed an advanced system that can “read” brain activity to recreate what a person is seeing. Meta, owned by Mark Zuckerberg, is a global leader in social media and cutting-edge technology, including AI. The company’s new system uses magnetoencephalography (MEG), a non-invasive tool that detects quick signals in the brain, to figure out what someone is looking at and turn those brain signals into a picture.
The images generated by Meta’s system are slightly different from the originals because the process relies on interpreting brain signals. While the AI can recreate the general shape, structure, and layout of the image, it often misses fine details and produces differences in colors. For instance, the recreated images might have colors that are muted, shifted, or less vibrant compared to the original.
This system works by learning how the brain reacts to images, using AI to match brain signals with pictures and then recreate those images. The generated image does seem to The technology helps scientists better understand how our brains process what we see and could one day help people in various ways.
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