Artificial intelligence (AI) has received a lot of attention in recent years, particularly in the COVID-19 scenario. The tech industry is buzzing about AI and its developments. As expected, the internet has played a critical role in the development of AI-enabled services. Although the term “artificial intelligence” is frequently used, not everyone understands what it is and what it is capable of.
When discussing artificial intelligence, different terminology is typically used. If you are not an expert in the field, it can become confusing and complicated. There is a distinction to be made between terms such as artificial intelligence, machine learning (ML), and deep learning (DL).
Artificial intelligence is an umbrella term for a subfield of computer science that deals with data and analytics. It refers to hardware or software’s ability to acquire and apply knowledge, as well as “think” or “behave” like a human. Deep learning is just one method for studying machine learning. Artificial Neural Networks (ANNs) function in the same way that the human brain does. As a result, deep learning is classified as ML.
Machine learning, on the other hand, is a learning technique in which machines can learn from massive data sets. AI algorithms make use of ML. It is simply a faster way to achieve AI. AI can be achieved without ML, but it takes a lot of coding and decision trees.
I’m sure it all sounds so complex. However, AI is pretty interesting and entertaining. Let me list a few interesting facts about AI.
- A supercomputer identified 77 chemicals that could stop the spread of the coronavirus, which could help doctors prevent infection and develop effective treatment plans.
- Machine learning development is expected to become increasingly automated. Agriculture, cybersecurity, fintech, manufacturing, and many other industries best exemplify this fun fact about technology.
- Google claimed to have created AI capable of designing computer chips much faster than humans. The AI takes less than 6 hours to design the chips, whereas human counterparts take months. This is why people are concerned about AI taking over human jobs.
- According to studies, the majority of people prefer the sound of a female voice to that of a male voice. That’s why when you ask Alexa or Siri a question, you will be answered by a pleasant and polite woman’s voice.
- Kismet, a robot developed in the late 1990s, can recognize emotions through human body language and voice tone.
- Sophia, a lifelike humanoid, has been granted citizenship in Saudi Arabia. It has sparked debate, with people wondering whether or not robots should have rights.
- Many works of science fiction and film have led to real-world technological breakthroughs, such as the AI-infused replicants in Blade Runner, which are based on the androids in Philip K. Dick’s Do Androids Dream of Electric Sheep?
- Since 2020, robots have been able to detect when they are “in pain,” i.e., damaged, alerting them to the fact that they require repair. These robots can also repair themselves.
- Because of concerns about data privacy, the EU has developed a draught of AI ethics guidelines. It outlines points such as how developers should ensure that their AI respects basic human rights.
- In 2020, the “Big Tech” companies, namely Amazon, Google, Facebook, Apple, and Microsoft, acquired 13 AI startups. This is because AI startups have become a “prime acquisition target” in the sector in recent years.
- AI is capable of making diagnoses as accurately as world-renowned medical experts. One such AI-driven algorithm, for example, can detect metastatic breast cancer with 99 percent accuracy.
- Finland provides AI courses to ensure the country’s competitiveness. Their goal is to teach at least one percent of the residents the fundamentals of artificial intelligence.
- Despite statistics claiming that AI will replace more than 80 million jobs, the World Economic Forum predicts that AI will create more than 97 million new jobs by 2025.