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Acknowledgments: Many thanks to the NIA AI Working Group members for their contributions to this blog post.

Artificial intelligence (AI) the science of computer systems that can mimic human-like thinking and decision-making processes has continued to evolve since our 2022 blog on this topic. With that growth comes added fascination for AIs possibilities and caution about its potential pitfalls.

Beyond the headlines, the aging science community is most excited about how AI and its related field of machine learning (ML) can turbocharge tools and models to accelerate research in Alzheimers disease and related dementias as well as other complex health challenges.

As NIA continues to expand its portfolio of AI/ML initiatives, be sure to check out our latest funding opportunity on multi-scale computational models in aging and Alzheimers (RFA-AG-25-016) with an application deadline of June 13, 2024. This RFA encompasses a variety of computational approaches such as mathematical and computational modeling, image analysis, AI, and ML to better understand aging processes and Alzheimers and related dementias across molecules, cells, and cellular networks, and how they affect cognition and behavior.

If youre interested in learning more, the NIH Center for Alzheimers and Related Dementias (CARD) has numerous training opportunities, open-access resources, and tools to help investigators take advantage of AI and ML capabilities. For example, GenoML, an open-source project created by CARD staff and collaborators, offers a streamlined approach to machine learning in genomics and has been downloaded more than 15,000 times since its launch.

NIA also participates in broad efforts to advance cutting-edge AI research in partnership with other federal and international funders through programs such as:

NIA recognizes the transformative potential of AI in analyzing complex datasets, accelerating the understanding of Alzheimers pathology, and identifying novel treatment avenues. Together, we hope these advanced tools and methods will help us better understand the aging process and find a cure for dementia and other age-related diseases.

To be a part of the next chapter, apply for the latest multi-scale computational models in aging and Alzheimers funding opportunity by June 13. To learn more, visit theNIA AI page. As always, we invite comments below!

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Putting the AI in NIA: New opportunities in artificial intelligence - National Institute on Aging

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Uncertainty-aware deep learning for trustworthy prediction of long-term outcome after endovascular thrombectomy ... - Nature.com

A few decades ago, the term Artificial Intelligence was reserved for scientific circles and tech-enthusiasts who wanted to sound cool. But, ever since its coining in 1955, AI has only grown in popularity. Today, you wouldnt find a technology magazine that doesnt mention artificial intelligence in every other paragraph.

Here's a quick video explaining the rise in demand for AI engineers and trends in an AI engineer's salary worldwide.

An AI Engineer is a professional skilled in developing, programming, and implementing artificial intelligence (AI) systems and applications. Their expertise lies in utilizing algorithms, data sets, and machine learning (ML) principles to create intelligent systems performing tasks that typically require human intelligence. These tasks may include problem-solving, decision-making, natural language processing, and understanding human speech.

AI Engineers work across various stages of AI project development, from conceptualizing and designing AI models to deploying and maintaining these systems in production environments. Their responsibilities often encompass:

AI Engineers typically have a strong foundation in computer science, mathematics, and statistics, with specialized knowledge in machine learning, deep learning, natural language processing, and computer vision. They must also be proficient in programming languages commonly used in AI, such as Python, and tools and frameworks like TensorFlow, PyTorch, and Keras.

Due to the interdisciplinary nature of AI, engineers often collaborate with data scientists, software engineers, and domain experts to develop solutions tailored to specific business needs or research objectives. The role requires continuous learning to keep up with the rapidly evolving field of artificial intelligence.

Before getting on the question at hand, we need to know top AI engineer's job roles. Machine Learning (ML) Engineers, Data Scientists, Data Analyst, Computer Vision Engineer, Business Intelligence Developer, and Algorithm Engineers are just some of the many different positions that come under the umbrella of AI engineering. Each of these positions entails a different job-profile, but, generally speaking, most AI engineers deal with designing and creating AI models. Everything from the maintenance to performance supervision of the model is the responsibility of the AI engineer.

Most AI engineers come from a computer science background and have strong programming skills, which is a non-negotiable part of an AI engineers position. Proficiency in Python and Object-Oriented Programming is highly desirable. But for an AI engineer, what is even more important than programming languages is the programming aptitude. Since the whole point of an AI system is to work without human supervision, AI algorithms are very different from traditional codes. So, the AI engineer must be able to design algorithms that are adaptable and capable of evolving.

Other than programming, an AI engineer needs to be conversant in an assortment of disciplines like robotics, physics, and mathematics. Mathematical knowledge is especially crucial as linear algebra and statistics play a vital role in designing AI models.

Read More: Gaurav Tyagis love for learning inspired to him to upskill with our AI For Decision Making: Business Strategies And Applications. Read about his journey and his experience with our course in his Simplilearn AI Program Review.

At the moment, AI engineering is one of the most lucrative career paths in the world. The AI job market has been growing at a phenomenal rate for some time now. The entry-level annual average AI engineer salary in India is around 10 lakhs, which is significantly higher than the average salary of any other engineering graduate. At high-level positions, the AI engineer salary can be as high as 50 lakhs.

AI engineers earn an average salary of well over $100,000 annually. According to Glassdoor, the average national salary is over $110,000; and the high salary is $150,000.

However, you must note that these figures can vary significantly based on several factors like:

Companies Hiring for Artificial Intelligence Engineers:

Here is the list of companies/ startups hiring in AI right now are IBM, Fractal.ai, JPMorgan, Intel, Oracle, Microsoft, etc.

City (India)

Average Salary (Annual)

Bangalore

12,00,000

Hyderabad

10,00,000

Mumbai

15,00,000

Chennai

8,00,000

Delhi

12,00,000

The salary for AI professionals in India can vary based on a variety of factors, including experience, job role, industry, and location. However, here's an estimate of the AI salary based on experience in India:

It's important to note that these figures are just estimates and can vary based on individual circumstances. Additionally, the industry and location can also play a role in determining AI salaries, with industries such as finance, healthcare, and technology typically paying higher salaries and cities such as Bangalore, Mumbai, and Delhi generally paying higher salaries than other cities in India.

If you're interested in pursuing a career in Artificial Intelligence (AI), here are some steps that can help you get started:

By following these steps, you can build a successful career in AI and become a valuable contributor to the field.

The top 7 countries with the maximum opportunities for Artificial Intelligence (AI) Professionals are:

There are various positions that an AI engineer can take up. An AI engineers salary depends on the market demand for his/her job profile. Presently, ML engineers are in greater demand and hence bag a relatively higher package than other AI engineers. Similarly, the greater the experience in artificial intelligence, the higher the salary companies will offer. Although you can become an AI engineer without a Masters degree, it is imperative that you keep updating and growing your skillset to remain competitive in the ever-evolving world of AI engineering.

There are a number of exciting and in-demand jobs in the field of artificial intelligence (AI). Here are some of the top AI jobs that you may want to consider:

As a machine learning engineer, you will be responsible for developing and implementing algorithms that enable computers to learn from data. This includes working with large data sets, designing and testing machine learning models, and tuning algorithms for efficient execution.

Data scientists use their expertise in statistics, mathematics, and computer science to analyze complex data sets. They work with organizations to gain insights that can be used to improve decision-making.

As an AI researcher, you will be responsible for investigating and developing new artificial intelligence algorithms and applications. This includes conducting research, writing papers, and presenting your findings at conferences.

Software engineers develop the software that enables computers to function. This includes creating algorithms, testing code, and debugging programs.

Systems engineers design and oversee the implementation of complex systems. This includes planning and coordinating system development, ensuring compatibility between components, and troubleshooting issues.

Hardware engineers design and oversee the manufacture of computer hardware components. This includes circuit boards, processors, and memory devices.

Network engineers design and implement computer networks. This includes configuring networking equipment, developing network architectures, and troubleshooting network problems.

Database administrators maintain databases and ensure that data is stored securely and efficiently. This includes designing database structures, implementing security measures, and backing up data.

Information security analysts plan and implement security measures to protect computer networks and systems. This includes researching security threats, assessing risks, and developing countermeasures.

User experience designers create user interfaces that are both effective and efficient. This includes developing navigation schemes, designing graphical elements, and testing prototypes.

These are just a few of the many exciting and in-demand jobs in the field of artificial intelligence. With the right skills and experience, you can find a position that matches your interests and abilities.

Just as AI is transforming the business landscape, it is also opening up new opportunities in the recruiting sphere. Here are some of the top companies and recruiters who are hiring for AI roles:

These are just some of the top companies and recruiters who are hiring for AI roles. If you have the right skills and experience, don't hesitate to apply!

There are a few key things you can do to help boost your AI salary. First, focus on acquiring in-demand skills. One of the best ways to do this is to enroll in a top-rated certification program. Second, keep up with the latest industry trends and developments. Finally, consider pursuing management or leadership roles within your organization. By taking these steps, you can position yourself for success and earn a higher salary in the AI field.

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Even as you read this article, the demand for AI is booming across the globe. AI engineer salaries will keep rising as industries like tech, financial services, and medical research turn to artificial intelligence. As more global brands like Google and Nvidia dive deeper into Artificial Intelligence (AI), the demand and the salaries for AI engineers will only go upwards in 2024 and the decades to follow. Even government agencies in many developed and developing nations will open up AI engineer positions as they realize the enormous impact AI can have on the defense and governance sector.

Looking at the current pandemic scenario, jobs are better left till the dawn of next year. The time you have right now will be far better utilized in upgrading your AI repertoire.

Unlike most other fields, AI of tomorrow will look nothing like the AI of today. It is evolving at a breathtaking speed, and ensuring your Artificial Intelligence (AI) skills are relevant to current market needs, you better keep upgrading it. If you wish to get a step closer to these lucrative salaries, sharpen your AI skills with the world-class Artificial Intelligence Engineer program, and, before you know it, you will be standing in the world of AI engineers!

The salary of an AI Engineer in India can range from 8 lakhs to 50 lakhs annually.

The starting salary for an AI Engineer in India can be from 8 lakhs annually.

50 laksh is the highest salary for an AI Engineer in India

As experience and position increases, the salary also increases.

IT is one of the highest paying industry for AI Engineer.

Popular skills for AI Engineers to have are programming languages, data engineering, exploratory data analysis, deploying, modelling, and security.

Average Artificial Intelligence Engineer salary in the US is around $100k annually.

Top 5 Artificial Intelligence Jobs in the US are Machine Learning Engineer, Data Scientist, Business Intelligence Developer, Research Scientist, and Big Data Engineer/Architect.

The lowest salary for an AI Enginner in the US is around $100k annually.

Highest salary can go over $150 to $200k annually.

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AI Engineer Salary: The Lucrative World of AI Engineering - Simplilearn

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Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma ... - Nature.com

The TITAN ground system solution will provide multi-domain integrated data directly to the front lines

AZUSA, Calif. March 7, 2024 Northrop Grumman Corporation (NYSE: NOC) is partnering with Palantir USG, Inc. on the newly awarded Tactical Intelligence Targeting Access Node (TITAN) ground system for the U.S. Army. The program supports one of the Armys key modernization imperatives by using artificial intelligence (AI) and machine learning (ML) to enhance the automation of target recognition and geolocation and integrate data from multiple sensors to reduce sensor-to-shooter timelines.

Northrop Grumman will partner to:

The TITAN ground system will enable faster decision making on the frontlines by providing actionable intelligence to reduce sensor-to-shooter timelines and maximize effectiveness of long-range fires. (Photo Credit: Palantir)

Expert:

Aaron Dann, vice president, strategic force programs, Northrop Grumman: Northrop Grummans extensive experience in large-scale system integration will help enable mission success and provide information superiority for our warfighters in complex operating environments.Our work on TITAN continues our long history of supporting our nations need for actionable intelligence when and where it matters most.

Details:

TITAN is a ground system that has access to space, high altitude, aerial, and terrestrial sensors to provide actionable targeting information for enhanced mission command. TITAN will enable the Army to fuse, correlate, and integrate intelligence data from a rapidly expanding series of sensors providing operational forces a full picture of their surroundings. This robust capability allows real-time decision making that will substantially increase the accuracy, precision, and effects of long-range precision fires.

Northrop Grumman is a leading global aerospace and defense technology company. Our pioneering solutions equip our customers with the capabilities they need to connect and protect the world, and push the boundaries of human exploration across the universe. Driven by a shared purpose to solve our customers toughest problems, our employees define possible every day.

The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government.

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Northrop Grumman Partners to Advance Deep Sensing for the US Army | Northrop Grumman - Northrop Grumman Newsroom