Elon Musk is charged about prospects of self-driving EVs in tunnels under cities

Elon Musk’s Boring Company is nearing completion of an underground loop in Las Vegas which would zip people at 241 kmph. The loop is around 1.33 …

Tesla CEO Elon Musk has been a vocal supporter of self-driving or autonomous vehicles and claims these are safer than conventional vehicles that have humans controlling the wheel. He has also in the past made a case for driving underground and his Boring Company is fast nearing completion on a tunnel project in Las Vegas which could cut down traffic times significantly. It is hardly surprising then that Musk has made a case for self-driving cars and tunnel transportation to come together in what he terms as a ‘warp drive.’

Musk took to Twitter on Tuesday (US time) to inform that the tunnel project under Las Vegas is nearing completion. “Tunnels under cities with self-driving electric cars will feel like warp drive. First operational tunnel under Vegas almost done,” he wrote on his handle on the micro-blogging site.

The tweet once again set off a wave of excitement among many of the millions who follow Musk on Twitter. Among them are people who believe that tunnel road transportation could indeed solve most of the traffic woes that global cities currently face.

The Strip in Las Vegas, for instance, required a transportation solution because of the high volume of tourists it handles. Musk’s Boring Company made a successful bid of $52.5 million to build a tunnel transport system which came to be known as the LVCC loop. The project was started in October of 2019 and is now nearing completion.

The twin 0.83-mile-long (1.33 kilometer), 14-foot-wide tunnels will cut down a travel time of 15 minutes to just under a minute. Musk has previously confirmed that the loop will make use of modified, on-rails electric sedans that will zip people at speeds of up to 150 mph (241 kmph).

Warp drive indeed!

Musk and Boring Company are reportedly eyeing more such projects which could ensure lightning quick transport solutions to cities currently grappling with choke points.

Artificial Intelligence Emerges as the Superhero of Tech Era

Henceforth, AI applications are featured to make humans live safely. Artificial Intelligence applications that could salvage life. Autonomous vehicles to …

Artificial Intelligence

Artificial Intelligence (AI) has changed the world for the better. AI and robotics have existed in fictional stories and movies for a very long time. They were shown both at good and bad lights. However, in the tech era, AI is unfolding its features to be a lifesaver.

Everyone seems to be suddenly interested in AI. It changes the face of products and services it involves. AI has worked as a push-up element in various sectors including business, marketing, agriculture, banking, etc. There is no industry that doesn’t have the touch of AI. Somehow, everyone is a beneficiary of emerging technology.

The recent trend in AI is quite different from how it worked so far. Scientists and researchers are finding ways to improve AI to a place where it can save human lives. Keep away all those soap operas and movies where you saw robots and AI enslaving humans. That is far beyond reality for now. Henceforth, AI applications are featured to make humans live safely.

Artificial Intelligence applications that could salvage life

Autonomous vehicles to Impede accidents

Vehicles are a part of a human’s journey. No one can imagine a world without vehicles. They were one of the beginnings of the evolution of technology and mechanism. Today, we have far advanced vehicles on the road. Still, technological growth couldn’t save human lives.

According to a report, in a year around 1.35 million people are killed on roadways around the world. In a day, 3,700 people are killed globally in road traffic crashes involving cars, buses, motorcycles, bicycles, trucks or pedestrians. The most vulnerable are pedestrians, bicyclists and motorcyclists.

It is too late to sensitize people to minimize the use of vehicles or follow traffic instructions properly. The cat is out of the bag already. Therefore, to tackle the situation AI can be used. The introduction of autonomous vehicles is a revolution to the mechanical industry. The vehicles main concern is how people could share the road safely without hurting each other. Autonomous vehicles have computer vision attached with which it could detect and prevent accidents. But these vehicles are yet to bang the road.

AI applications are acting as accident preventers. An application named !important is designed to minimize the risk of accidents with all certified connected vehicles like cars, trucks, buses, autonomous vehicles and construction equipment. It can even feature drones. The app creates a virtual protection zone around pedestrians, wheelchair users, cyclists and motorcyclists using their devices. If a connected vehicle goes near !important vehicle, the brakes are triggered automatically.

Health applications to detect medical conditions

At a time when the pandemic is infecting and killing millions of people, it is unsafe to have human-to-human contact. Even doctors and frontline workers are at high risk of contracting the disease despite PPE gears. Hospitals and medical institutions are searching for ways to minimize the human hand in the helping system eventually to provide good healthcare facilities through AI.

Catalyst.ai and healthcare.ai designed by Health Catalyst are some of the life-saving applications developed using AI. The applications with its machine learning technology can identify patients with great risk of readmission and provide clinicians guidelines to address their problems. The application has also helped prevent hospital-acquired infections and chronic diseases, and reduce mortality rates. A hospital in Israel is testing smart hospital rooms that could save patients lives as well as doctors and nurses. The technology keeps away patients from health workers with the use of AI-powered robots, virtual reality glasses and early warnings.

Doctors are wise enough to find the ailment when they check a patient. But AI applications detect diseases and emergencies during the ambulance dispatch. Corti, an application to understand the medical conditions of patients was inspired to create an AI-enabled system that can identify cardiac arrest.

The voice-based digital assistant attends the emergency calls and listens to the patient’s complaints to determine the medical condition. The application decreased cardiac arrest cases by 43% through its features. The company is currently working on making the application detect other ailments.

Collated data for drug production

Following the detection of health issue comes treatment. No disease can be cured without providing proper medical attention and drugs. If finding the disease is an improved AI task, so is coming up with relative drugs for the ailment. It is very important to be choosy and particular while prescribing a drug to a patient as it involves side effects that can lead to other health risks.

Okwin is designing pharmaceutical solutions through AI-powered medical research and development. The company uses a machine-learning algorithm to create models designed to predict disease evolution, improve treatment and enhance the way drugs are developed for the diseases. Okwin obtains data from hospital partners to find ways to help patients improve drugs more quickly with fewer side effects.

Image recognition software to track traffickers

Human life threats are not always health-related. According to a UN report from 2016, around 63,000 are victims of human trafficking across in a year. Human trafficking is a global issue. Countries and governments are trying their hand to keep human trafficking under control. But it is not an easy job as human traffickers are taking the work in shadow without anyone’s notice. Women and children are the most vulnerable to trafficking.

AI stands as a rescue operation for surging human traffic issues. Delta 8.7 is an organization that applies AI and computational science to track and stop human traffickers. The organization can use its AI technology to recognize the image to track both the criminals and victims.

Despite facing a pandemic and losing millions of lives, humans still believe that life is invaluable. Artificial Intelligence featured applications have found a solution to help prevent road accidents, provide healthcare and minimize human trafficking through its technology. AI is giving humans a chance to live a safe and happy life.

Tesla driver crashes into cop car while watching movie in Autopilot mode

Elon Musk may repeatedly make claims that autonomous Tesla vehicles are far safer than conventional vehicles being driven by people but yet …

Elon Musk may repeatedly make claims that autonomous Tesla vehicles are far safer than conventional vehicles being driven by people but yet another incident involving a Tesla on Autopilot mode is likely to give fresh voice to critics. This after a man in North Carolina reportedly admitted that he was watching a movie with his Tesla in Autopilot when it rammed into a cop car.

The Tesla Model S vehicle rammed into a Nash County police car recently;y and such was the force of impact that while the cop car was pushed forward, the EV suffered severe damage to its bumper, front fender, front wheel arch and the A pillars.

(Also read: Autonomous vehicles won’t make roads completely safe, reveals study)

News outlet CBS quoted cops as saying that the driver had admitted to watching a movie on his phone after putting the Model S into Autopilot mode. Local reports also suggest that the Tesla vehicle was a first-generation Model S which means it may not have had the latest version of Autopilot.

Even still, the fact that the car was in Autopilot and it failed to detect the cop car is likely to raise both eyebrows as well as concerns.

Musk has been a very vocal supporter of autonomous driving and says the feature, convenience and the technology backing it will make roads far safer than ever. The Tesla CEO has also often implied that human drivers can be susceptible to errors but autonomous cars have a long list of features that would enable these to navigate and negotiate real-world conditions at all times.

Tesla however does urge that drivers keep hands on the steering at all times and this is also mandated by law in many countries. The EV maker, however, is also planning to introduce games and video conferencing features in its products for when full autonomous vehicles become completely legal.

How an Automated Data Labeling Platform Fuels Self-driving Industry?

Elon Musk admits during an interview that data annotation is a tedious job, and it requires skills and training, especially when it comes to 4D (3D plus …

NEW YORK, NY / ACCESSWIRE / August 26, 2020 / “I’m extremely confident that self-driving cars or essentially complete autonomy will happen, and I think it will happen very quickly,” Tesla CEO Elon Musk said in a virtual speech to the World Artificial Intelligence Conference in July, 2020. Musk mentioned Tesla will have basic functionality for level-five complete autonomy this year.

The self-driving vehicles is not just hot in Silicon Valley. In China, the largest automobile market worldwide, companies are also getting on board to develop autonomous driving technology, including China’s internet search tycoon Baidu, also referred to as the “Google of China.” Baidu has been developing the autonomous driving technology through its “Apollo” project (also known as open-source Apollo platform) launched in April 2017. Now the company announced the world’s first production-ready compute platform specifically for autonomous vehicles is ready for application.

Behind the self-driving: Machine learning and Data annotation

Before we talk about the feasibility about self-driving and autonomous technology, let’s make one question clear: how is self-driving possible?

In a nutshell, a self-driving car should be able to sense its environment and navigate without human intervention. Self-driving vehicles depend on hardware and software to drive down the road. The hardware collects data and software processes it through machine learning algorithms that have been trained in real-world scenarios. Simply put it, it is machine learning technology that plays a vital role in the self-driving industry. Machine learning algorithms, sensors and graphics processing devices have integrated into a smart driving neural network, or “brain”.

First and foremost, the smart “brain” needs to learn image verification and classification, object detection and recognition, as well as traffic rules, weather conditions. Engineers “teach” these situations by feeding the machine learning models millions of labeled images to make it adept at analyzing dynamic situations and acting on their decisions.

With the tremendous amount of raw data required for machine learning algorithms, and the need for accuracy, high quality data annotation is crucial to ensure that autonomous vehicles are safe to use for public.

Going back to Tesla, this company uses cameras for visual detection, each car equipped with 8 surround cameras. If a Tesla user drives one hour a day on average, considering more than 750,000 Tesla cars around the world, about 180 million hours of video can be generated per month.

Tesla Autopilot project has included 300 engineers plus more than 500 skilled data annotators. The company plans to enlarge the data annotation team to 1,000 people to support the data process. Elon Musk admits during an interview that data annotation is a tedious job, and it requires skills and training, especially when it comes to 4D (3D plus time series).

A new solution for data annotation market

It’s becoming challenging for the machine learning and AI companies to internally meet the burgeoning demand of high-quality data annotation.

ByteBridge.io has provided an innovative solution to empower the machine learning revolution through its automated and integrated data annotation platform. Built by developers for developers, ByteBridge.io has applied blockchain technology to the data processing platform where developers can create the project by themselves, highlight specific requirements, check the ongoing process simultaneously on a pay-per-task model with clear estimated time and price.

In order to reduce data training time and cost when dealing with complicated tasks, ByteBridge.io has also built up the consensus algorithm rules to optimize the labelling system and improve the accuracy of final data delivery.

Self-driving technology is going to transform the transportation industry, social and daily lives. It’s hard to know when that day will arrive. But one thing for sure is that with top data service companies, such as ByteBridge.io, to fuel the machine learning and autonomous industry, the intelligent future is edging closer into reality.

Contact: support@bytebridge.io

Website: bytebridge.io

SOURCE: TTC Foundation

View source version on accesswire.com:

https://www.accesswire.com/603430/How-an-Automated-Data-Labeling-Platform-Fuels-Self-driving-Industry

Waymo Taps Texas As Its Robot Truck Hub With Dallas Depot

… external fundraising, with investment from companies including Magna International, Andreessen Horowitz, AutoNation, T. Rowe Price, Perry Creek …
Waymo-Texas-hub

Waymo is making Dallas the hub for testing its robotic semi-trucks.

Waymo

Waymo, the leading U.S. self-driving vehicle company, is expanding its robot truck program by moving into Texas with a new depot in Dallas that will serve as the hub for road-testing its fleet of 18-wheelers.

Waymo tells Forbes its semis roll into Dallas this week and the Silicon Valley-based company plans to hire licensed local truckers to assist with highway evaluations as safety drivers. It’ll start with a temporary facility this month, as it looks for a long-term base of operations. Mapping of roads in Texas and New Mexico with the high-definition cameras and sensors on Waymo’s autonomous minivans was completed in March ahead of plans to start truck tests in April, before the Covid-19 pandemic delayed things. Waymo isn’t saying how much it’s investing in the project.

The Alphabet subsidiary’s current fleet of 13 Peterbilt trucks, loaded with digital cameras, laser lidar sensors, radar and computing system will be operating on the I-10, I-20 and I-45 interstates and other high-capacity commercial routes between Texas and New Mexico. “In addition to further advancing our trucking capabilities, we’re excited to explore how our tech might be able to create new transportation solutions in Texas, which has a high freight volume and is a favorable environment for deploying AVs,” the company said.

Making Texas the center of Waymo’s trucking operations makes sense given how big the industry is there, employing one in 16 Texans, according to state data. Autonomous trucking rival TuSimple, which like Waymo also has operations in Arizona, opened its own Dallas depot earlier this year and self-driving startup Aurora, led by the former head of Google GOOGL’s Self-Driving Car Project, said last month it will also test delivery vans and trucks in Texas. Kodiak, another Silicon Valley robot truck startup created by a former Google engineer has had an operations hub in Dallas since mid-2019. Nuro, a startup also created by two other ex-Googlers, tests autonomous delivery vehicles in Houston. Waymo previously tested autonomous semis in Atlanta, where it briefly ran loads for Google, but the new initiative will be on a larger, more consistent scale.

“Our location and reliable transportation system make Dallas-Fort Worth a center for freight,” said Tom Bamonte, senior program manager for automated vehicles for the North Central Texas Council of Governments. “Waymo’s choice of Dallas-Fort Worth for its automated trucking hub helps the region prepare for the future of freight transportation and secure its leadership position.”

Testing of Waymo’s robotaxi fleet in the Phoenix area has mainly continued during the pandemic, though its Chrysler Pacifica minivans aren’t currently providing rides for people in its Waymo One service as a coronavirus safety precaution. Autonomous minivans in its Waymo Via logistics fleet are also picking up and dropping off packages for UPS and AutoNation AN car dealerships in the Phoenix area.

The company that began as an inhouse Google project a decade ago said last month it raised a total of $3.2 billion in its first external fundraising, with investment from companies including Magna International, Andreessen Horowitz, AutoNation, T. Rowe Price TROW, Perry Creek Capital, Fidelity Management as well as its parent Alphabet.

Waymo-texas-robo-trucks

Waymo Via is Waymo’s autonomous logistics and delivery business.

Waymo