Artificial intelligence looking at smart city, connected with planet through global mobile internet … [+]
2022 was a transformative year for technological innovation and digital transformation. The trend will continue as the pace of innovation and development of potentially disruptive emerging technologies exponentially increases every year. The question arises, what lies ahead for tech for us to learn and experience in 2023?
While there are many impactful tech topics such as the Internet of Things, 5G, Space, Genomics, Synthetic Biology, Automation, Augmented Reality, and others, there are four tech areas to keep a keen watch on this coming year as they have promising and near-term capabilities to transform lives. They include: 1) artificial intelligence, 2) computing technologies, 3) robotics, and 4) materials science.
Artificial Intelligence (AI)
classic artificial intelligence concept 3d backgroun
Since the HAL2000 computer and producer Stanley Kubrick provided a glimpse of AI’s independent (although nefarious) capability to independently think in the epic movie, 2001 A Space Odessey, we have been eagerly waiting for the emergence of artificial intelligence. We are now on the cusp of AI emergence and AI is no longer just found in science fiction movies. Elements that compose AI consist of machine learning, and natural language processing and are now a daily part of our lives. Today, AI can understand, diagnose, and solve problems — in some cases without being specifically programmed.
The focus and challenges of artificial intelligence are clear cut. AI systems seek to replicate human traits and computational capabilities in a machine, and surpass human limitations and speed. It is already happening. Artificial synapses that mimic the human brain will likely direct the next generation of computing. The components may differ, it may be analog or digital, and it may be based on transistors, chemicals, biological, photonics, or possibly quantum components.
Computers with AI have been predominantly designed for automation activities that include memory emulation, speech recognition, learning, planning, and problem solving. AI technologies can provide for more efficient decision making by prioritizing and acting on data, especially across larger networks with many users and variables. In the very near future, AI is going to change how we do business, how we plan, and how we design. You can see it now. AI already is a catalyst for …….