AI's big data, machine learning, and automation potential has pushed policymakers and business leaders around the world to prepare for a future where AI is a key competence.
Fremont, CA: With today's digital age, artificial intelligence (AI) has gained a name for itself as a disruptive agent that can lead us to a world powered by machines that imitate human intelligence. As days go by, the use of AI technology is becoming a major factor in company growth, healthcare services, customer loyalty, and more. Furthermore, this technology is moving the human potential so that human-machine coexistence can be seen as a symbolic relationship in the coming days. And that means integrating the cognitive, emotional strengths of humans with that of computers.
Additionally, AI's big data, machine learning, and automation potential has pushed policymakers and business leaders around the world to prepare for a future where AI is a key competence. Also, the emergence of AI functions has greatly affected manufacturing and labor processes. The AI end-user industries include manufacturing, agriculture industry, healthcare, media and advertisement, oil & gas, BFSI (Banking Financial Services and Insurance), automobile, transport, and retail. However, it is also worth noting that all these AI capabilities are powered by high-performance AI chips (GPUs, FPGAs, and ASICs), which also influence the semiconductor industry.
AI has had a two-way effect on the growth of the semiconductor industry, i.e., rising demand for new technology and improving the process of manufacturing goods. The former provides unique marketing opportunities and encourages the development of the production process. For example, the Tensor Processing Units (TPUs) enables Google applications that use AI to execute items such as recognizing terms that people use in audio recordings, finding objects in photographs and videos, and capturing critical emotions in written text.