As machines become more and more intelligent, how can human intelligence compare? We are becoming more curious and innovative about the technology we create and various facets of artificial intelligence (AI) are being utilized by industry leaders in order to stay competitive and relevant. What is the difference between human intelligence and machine intelligence? What does the future look like for humans and machines?
Comparing artificial intelligence and human intelligence side by side, the former is a combination of data analysis, mathematics, problem-solving, operations research, language, learning, and logic that enables machine learning (ML) and deep learning (DL) algorithms to be used. AI utilizes various tools and insights in order to make tasks such as facial recognition, data mining, optimization, speech recognition, task automation, scheduling, and logistics possible.
Taking a good look at artificial intelligence and human intelligence, the latter is a quality that is unique to mankind no matter how advanced machines get. What can a human do better than machine learning? There are plenty of areas where human intelligence outperforms machines such as processing emotions, mentoring others, developing personal connections, comprehension, adapting to new and unfamiliar situations and manipulating an individual’s environment.
Human learning vs. machine learning: AI has been developed to mimic human intelligence and enables tasks to be executed at a higher speed and more accurately. The impact of machine learning includes:
Automation and artificial intelligence are talked about in tandem because they are mistaken for one another because machine learning and AI automation streamline processes. However, while machine learning refers to systems utilizing data to draw inferences and make certain decisions, automation refers to when machines carry out tasks with minimal human assistance. Machine intelligence has made it possible for technology to complete repetitive and menial tasks.
As one of the fastest developing technologies, innovation in AI is constantly advancing. AI-driven innovation has led to breakthroughs in medicine, autonomous vehicles, more meaningful communication via virtual assistants (VAs) and chatbots, as well as AI data innovations in cybersecurity.
AI data analysis has also emerged as a result of advancing machine intelligence. Using ML algorithms, data is constantly monitored in large amounts and is often automated. With machine learning, data analysis in AI is unbiased, has fewer errors, and is executed in a smaller amount of time.
Humans are natural learners and the curious mind has led us to machine learning. Human intelligence is all about identifying patterns and learning through experiences while machine learning depends on past data. Humans are able to fit emotions into the equation and adapt to unforeseen circumstances or data where machines are built to run algorithms. While AI definitely beats human intelligence in terms of computing power and memory which enables speedy calculations, human brains have the depth that allows complex and abstract thoughts which set us apart from the technology we have built.
The debate of machine intelligence vs. human intelligence has been ongoing for years and will continue to be discussed as AI advances. So what do artificial intelligence and the future of humans look like? The future of AI is something to look forward to as machine learning becomes more accurate, agile, and progressive. However, the future of artificial intelligence is dependent on human learning and what we learn from current technology will dictate what direction ML will take. Ultimately, AI will become part of everyday life and humans will lead the way. You can get in touch with GTECH to learn more.
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