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AI Tech

Do you believe that AI will eventually replace humans altogether?

Written by : Shweta (SOHAM) R on Digilah (Tech Thought Leadership)

Let’s try to understand the term first:

đź’ˇWhat Is Artificial Intelligence?

Artificial Intelligence is a new and exciting field that is quickly gaining popularity. It is a method of making a computer, a computer-controlled robot, or a software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. 

It can be considered a tool to assist us to rise above our circumstances.

Before getting threatened and believing in speculations take a moment and register this, AI is a replica we have created to make our lives better.

It is made of code not cells!

Having said that, we must strive for creative sense because it’s just the beginning, we have only touched the surface of what Artificial Intelligence can accomplish. Our thinking capabilities and problem solving abilities are endless.

đź’ˇThe four A.I. types are:

đź§©Reactive Machines

đź§©Limited Memory

đź§©Theory of Mind(Exits only in theory)

đź§©Self Aware(Exits only in theory)

We are currently well past the first type and actively perfecting the second. At the moment, the third and fourth types exist only in theory. 

Most of the recent or past developments are data driven. I am looking forward to the theory of mind and self care developments because their AI will have to deal with thoughts and emotions.

How on earth a machine is going to handle that?? 

According to Forbes AI is expected to see an annual growth rate of 37.3% from 2023 to 2030. AI continues to revolutionize various industries, with an expected annual growth rate of 37.3% between 2023 and 2030, as reported by Grand View Research. This rapid growth emphasizes the increasing impact of AI technologies in the coming years.

A quarter of companies are adopting AI because of labor shortages as labor shortages become a pressing concern, 25% of companies are turning to AI adoption to address this issue, according to an IBM report. AI helps businesses optimize operations and compensate for the lack of human resources.

Software engineers and data engineers are being recruited for AI support

As AI becomes more integrated into businesses, there is a growing demand for AI support roles. In 2022, 39% of businesses reported hiring software engineers, and 35% hired data engineers for AI-related positions, according to a McKinsey report.

97% of business owners believe ChatGPT will help their business

According to Forbes Advisor, a staggering 97% of business owners believe that ChatGPT will benefit their businesses. One in three businesses plan to use ChatGPT to create website content, while 44% aim to generate content in multiple languages. More than half believe AI will improve written content. 

Over half of respondents, 54%, believe that AI can improve written content, suggesting that AI-driven solutions such as ChatGPT have the potential to enhance text quality, creativity and efficiency in various content creation contexts.

đź’ˇWhat can we do to adapt the process?

In the emergence of AI technology, we may need to accept and reassess ourselves. We will need to be equipped skills-wise and knowledge-wise on how to handle and prosper in a world that is continuously changing and improving as days move on.

Conclusively, I will say it is important to get the hang of AI but again try to acquire a balance while you are turning into a robot with AI advancements to keep your natural stupidity alive to be creative. YES, AI is the present, but will it be the future?!

That’s a question mark for me, I believe quantum computing will take over.

Most asked questions

What are the pros and cons of AI?

 Can AI take over the world?

 

Most searched queries

Generative AI 

Machine learning

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AI Tech

5 Levels of Autonomy in Vehicles

Witten by Oliver-Werner K. on Digilah (Tech Thought Leadership)

Levels 0 to 5

Level 0 – No Automation. The human at the wheel steers, brakes, accelerates, and negotiates traffic.

Level 1 – Driver Assistance. …

Level 2 – Partial Automation. …

Level 3 – Conditional Automation. …

Level 4 – High Automation. …

Level 5 – Full Automation.

Researchers forecast that by 2025 we’ll see approximately 8 million autonomous or semi-autonomous vehicles on the road. Before merging onto roadways, self-driving cars will first have to progress through 6 levels of driver assistance technology advancements.

What exactly are these levels? And where are we now? 

The Society of Automotive Engineers (SAE) defines 6 levels of driving automation ranging from 0 (fully manual) to 5 (fully autonomous). These levels have been adopted by the U.S. Department of Transportation. 

Level 0 (No Driving Automation)

Most vehicles on the road today are Level 0: manually controlled. The human provides the dynamic driving task although there may be systems in place to help the driver. An example would be the emergency braking system―since it technically doesn’t “drive” the vehicle, it does not qualify as automation. 

Level 1 (Driver Assistance)

This is the lowest level of automation. The vehicle features a single automated system for driver assistance, such as steering or accelerating (cruise control). Adaptive cruise control, where the vehicle can be kept at a safe distance behind the next car, qualifies as Level 1 because the human driver monitors the other aspects of driving such as steering and braking. 

Level 2 (Partial Driving Automation)

This means advanced driver assistance systems or ADAS. The vehicle can control both steering and accelerating/decelerating. Here the automation falls short of self-driving because a human sits in the driver’s seat and can take control of the car at any time. Tesla Autopilot and Cadillac (General Motors) Super Cruise systems both qualify as Level 2.

Level 3 (Conditional Driving Automation)

The jump from Level 2 to Level 3 is substantial from a technological perspective, but subtle if not negligible from a human perspective.

Level 3 vehicles have “environmental detection” capabilities and can make informed decisions for themselves, such as accelerating past a slow-moving vehicle. But―they still require human override. The driver must remain alert and ready to take control if the system is unable to execute the task.

Almost two years ago, Audi (Volkswagen) announced that the next generation of the A8―their flagship sedan―would be the world’s first production Level 3 vehicle. And they delivered. The 2019 Audi A8L arrives in commercial dealerships this Fall. It features Traffic Jam Pilot, which combines a lidar scanner with advanced sensor fusion and processing power (plus built-in redundancies should a component fail).

However, while Audi was developing their marvel of engineering, the regulatory process in the U.S. shifted from federal guidance to state-by-state mandates for autonomous vehicles. So for the time being, the A8L is still classified as a Level 2 vehicle in the United States and will ship without key hardware and software required to achieve Level 3 functionality. In Europe, however, Audi will roll out the full Level 3 A8L with Traffic Jam Pilot (in Germany first). 

artificial intelligence

Level 4 (High Driving Automation)

The key difference between Level 3 and Level 4 automation is that Level 4 vehicles can intervene if things go wrong or there is a system failure. In this sense, these cars do not require human interaction in most circumstances. However, a human still has the option to manually override.

Level 4 vehicles can operate in self-driving mode. But until legislation and infrastructure evolves, they can only do so within a limited area (usually an urban environment where top speeds reach an average of 30mph). This is known as geofencing. As such, most Level 4 vehicles in existence are geared toward ridesharing. For example:

NAVYA, a French company, is already building and selling Level 4 shuttles and cabs in the U.S. that run fully on electric power and can reach a top speed of 55 mph.

Alphabet’s Waymo recently unveiled a Level 4 self-driving taxi service in Arizona, where they had been testing driverless cars―without a safety driver in the seat―for more than a year and over 10 million miles.

Canadian automotive supplier Magna has developed technology (MAX4) to enable Level 4 capabilities in both urban and highway environments. 

They are working with Lyft to supply high-tech kits that turn vehicles into self-driving cars.Just a few months ago, Volvo and Baidu announced a strategic partnership to jointly develop Level 4 electric vehicles that will serve the robotaxi market in China.

Level 5 (Full Driving Automation)

Level 5 vehicles do not require human attention―the “dynamic driving task” is eliminated. Level 5 cars won’t even have steering wheels or acceleration/braking pedals. They will be free from geofencing, able to go anywhere and do anything that an experienced human driver can do. Fully autonomous cars are undergoing testing in several pockets of the world, but none are yet available to the general public!

 

(Source1: https://www.synopsys.com/automotive/autonomous-driving-levels.html)

(Source2: https://newsroom.intel.com/news/autonomous-driving-hands-wheel-no-wheel-all/)

Most searched questions

What are the levels of vehicle autonomy?

What level of autonomy is Tesla?

What are SAE levels?

Most searched queries

Levels of autonomous driving

5 levels of automation

level 2 autonomous cars list

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