Artificial Intelligence and Machine Learning are two branches of computer science that are closely connected. These two technologies are among the most popular for developing intelligent systems.
Although these are two related technologies that are frequently used interchangeably, they are still distinct names in many situations. On a broad level, we may distinguish Artificial Intelligence and Machine Learning as:
- Artificial Intelligence (AI) is a larger idea that aims to produce intelligent machines that can replicate human thinking capabilities and behaviour
- Machine learning is an application or subset of AI that allows computers to learn from data without being explicitly programmed.
ML and AI have a bright future because they give machines the power to learn, making them more human-like. ML and AI are presently used in a variety of fields, particularly those related to engineering.
Future of AI and ML - What Will It Look Like
Machine Learning is beginning to migrate to the cloud as a massive quantity of data becomes more readily available. Data Scientists will no longer write bespoke programmes or maintain infrastructure explicitly. Instead, AI and machine learning will assist systems in scaling, generating new models on the fly, and delivering faster and more accurate results.
Machine Learning and Artificial Intelligence are widely employed in the following industries:
- Financial Trading
- Personal Security
- Online Search
- Healthcare & Fitness
- Sales and Marketing
- Transportation & Conveyance
Artificial Intelligence and Machine Learning have reached a vital tipping point, augmenting and extending practically any technology-enabled service, product, or application. People have worked hard in the post-industrialisation age to construct a machine that behaves like a person.
The thinking machine is AI's greatest gift to humanity; its magnificent entrance has abruptly modified the operating laws of commerce. Self-driving cars, digital assistants, robotic manufacturing workers, and smart cities have all demonstrated that intelligent machines are conceivable.
AI has altered most industrial areas, including retail, manufacturing, finance, healthcare, and media, and it continues to expand.
Since the pandemic, the use of Artificial Intelligence (AI) has skyrocketed as the entire globe has pushed toward digitalisation. According to research conducted by Oxford University and Yale University, AI will surpass humans in many aspects and will automate all human employment over the next 120 years.
For example, AI may be better at translation than humans by 2024, create best-selling books by 2049, and do operations by 2053.
Role of AI & ML in Engineering - A Peek
Like many other sectors, engineering is being transformed by artificial intelligence and machine learning. However, even though these technologies appear to be everywhere, we must not lose sight of how magnificent they are and the incredible things they enable us to achieve today and in the future.
Engineers' responsibilities may change due to artificial intelligence and machine learning, but it may also allow them to achieve things they couldn't previously.
Artificial intelligence in the engineering sector employs both software and hardware components. As a result, machines will be able to support not just intelligent production lines and challenging manufacturing activities as they get more sophisticated but also create and enhance tasks over time with little or no human intervention via machine learning.
For example, automobile manufacturers have been using robots on the manufacturing line for quite some time, and they have progressed from doing simple technical duties to executing numerous precise motions necessary for some of the most complicated elements of the process.
Many of the activities that engineers are responsible for, such as design and simulation, may be aided by artificial intelligence systems. Consider how, once upon a time, Computer-Aided Design (CAD) was only a supplement to engineering but is now an essential element of the everyday workflow.
These technologies will assist engineers in enhancing their capabilities and allow them to explore design and weight-saving solutions previously unthinkable. Another way AI may help engineers is by automating low-value jobs, allowing engineers to focus on higher-value ones.
Machines will be beneficial in assisting with engineering judgement by utilising machine learning to detect patterns in data. While there are several advantages to using artificial intelligence and machine learning in engineering, some engineers are afraid that robots may usurp their employment.
Automation has and will continue to take over work that people have historically done; nevertheless, this can liberate humans to accomplish higher-level activities and take over positions that require human-specific abilities that do not yet exist.
According to a University of Oxford assessment, scientific and engineering occupations are the least threatened and will profit the most from artificial intelligence capabilities. As AI and machine learning revolutionise the way engineers work, they must be ready to adapt to the latest technologies.
In addition, engineers must optimise the job so that interactions between people and robots are as unobtrusive as possible.
Universities can play a crucial role in educating engineering students on the benefits of AI and ML early on to ensure their preparation for the technology. As it is easy to mould their brains during the learning process, the operation of these technologies can become second nature to them and allow for faster progress in the developing industry.
We here at NMAM-IT offer programs that directly or indirectly teach students about these technologies to prepare them for the transformation of industries.
Visit our website or connect with our experts to know more about AI & ML and how they can be beneficial to your engineering future!
