What is artificial intelligence?
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
How does AI work?
AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data. AI is a broad field of study that includes many theories, methods and technologies, as well as the following major subfields:
- Machine learning automates analytical model building. It uses methods from neural networks, statistics, operations research and physics to find hidden insights in data without explicitly being programmed for where to look or what to conclude.
- A neural network is a type of machine learning that is made up of interconnected units (like neurons) that processes information by responding to external inputs, relaying information between each unit. The process requires multiple passes at the data to find connections and derive meaning from undefined data.
- Deep learning uses huge neural networks with many layers of processing units, taking advantage of advances in computing power and improved training techniques to learn complex patterns in large amounts of data. Common applications include image and speech recognition.
- Computer vision relies on pattern recognition and deep learning to recognize what’s in a picture or video. When machines can process, analyse and understand images, they can capture images or videos in real time and interpret their surroundings.
- Natural language processing (NLP) is the ability of computers to analyse, understand and generate human language, including speech. The next stage of NLP is natural language interaction, which allows humans to communicate with computers using normal, everyday language to perform tasks.
AI is likely to have a strong benefits on certain sectors in particular:
Medical:
The potential benefits of utilizing AI in the field of medicine are already being explored. The medical industry has a robust amount of data, which can be utilized to create predictive models related to healthcare. Additionally, AI has shown to be more effective than physicians in certain diagnostic contexts.
Automotive:
We’re already seeing how AI is impacting the world of transportation and automobiles with the advent of autonomous vehicles and autonomous navigation. AI will also have a major impact on manufacturing, including within the automotive sector.
Cybersecurity:
Cybersecurity is front of mind for many business leaders, especially considering the spike in cybersecurity breaches throughout 2020. Attacks rose 600% during the pandemic as hackers capitalized on people working from home, on less secure technological systems and Wi-Fi networks. AI and machine learning will be critical tools in identifying and predicting threats in cybersecurity. AI will also be a crucial asset for security in the world of finance, given that it can process large amounts of data to predict and catch instances of fraud.
E-Commerce:
AI will play a pivotal role in e-commerce in the future, in every sector of the industry from user experience to marketing to fulfilment and distribution. We can expect that moving forward, AI will continue to drive e-commerce, including through the use of chat-bots, shopper personalization, image-based targeting advertising, and warehouse and inventory automation.
Career Opportunities in Artificial Intelligence: List of Various Job Roles
According to the Gartner report of 2019, there has been a 270% growth in the applications of AI from 2015 – 2019. Thus, the importance of AI is bound to climb high in the future. AI career opportunities are drastically reaching great heights.
Artificial Intelligence or AI career opportunities have escalated recently due to its surging demands in industries. The hype that AI will create tons of jobs is justifiable. A career in AI looks more promising than any other jobs available these days.
Employers need AI talent to fulfil the company’s technological requirements. Thus, a career in AI is not only attracting the job-seekers towards it but is witnessing immense growth. To establish a career in AI, job-hunters need to possess relevant technical skills.
Abundant AI career opportunities are present owing to wide applications in different fields. It is also a matter of confusion among many AI enthusiasts. Thus, we have compiled a list of promising AI career opportunities.
- Big Data Engineer
- Business Intelligence Developer
- Data Scientist
- Machine Learning Engineer
- Research Scientist
- AI Data Analyst
- Product Manager
- AI Engineer
- Robotics Scientist
Companies that make use of AI
The top 10 companies make use of AI and are recruiting for the same –
- Amazon
- Apple
- DJI
- Anki
- Clarifai
- Deepmind
- Casetext
- DataVisor
It is an apt time for professionals who want to jump into the field of AI and make their career out of it. Renowned startups like Argo AI are also hiring for significant Artificial Intelligence roles.
HOW CAN AI BE DANGEROUS?
Most researchers agree that a super intelligent AI is unlikely to exhibit human emotions like love or hate, and that there is no reason to expect AI to become intentionally benevolent or malevolent. Instead, when considering how AI might become a risk, experts think two scenarios most likely:
The AI is programmed to do something devastating:
Autonomous weapons are artificial intelligence systems that are programmed to kill. In the hands of the wrong person, these weapons could easily cause mass casualties. Moreover, an AI arms race could inadvertently lead to an AI war that also results in mass casualties. To avoid being thwarted by the enemy, these weapons would be designed to be extremely difficult to simply “turn off,” so humans could plausibly lose control of such a situation. This risk is one that’s present even with narrow AI, but grows as levels of AI intelligence and autonomy increase.
The AI is programmed to do something beneficial, but it develops a destructive method for achieving its goal
This can happen whenever we fail to fully align the AI’s goals with ours, which is strikingly difficult. If you ask an obedient intelligent car to take you to the airport as fast as possible, it might get you there chased by helicopters and covered in vomit, doing not what you wanted but literally what you asked for. If a super intelligent system is tasked with a ambitious geoengineering project, it might wreak havoc with our ecosystem as a side effect, and view human attempts to stop it as a threat to be met.
As these examples illustrate, the concern about advanced AI isn’t malevolence but competence. A super-intelligent AI will be extremely good at accomplishing its goals, and if those goals aren’t aligned with ours, we have a problem. You’re probably not an evil ant-hater who steps on ants out of malice, but if you’re in charge of a hydroelectric green energy project and there’s an anthill in the region to be flooded, too bad for the ants. A key goal of AI safety research is to never place humanity in the position of those ants.
Useful information. Thank you
5
4.5