Roadmap to neuromorphic computing with emerging technologies

The growing adoption of data-driven applications, such as artificial intelligence (AI), is transforming the way we interact with technology. Currently, the deployment of AI and machine learning tools in previously uncharted domains generates considerable enthusiasm for further research, development, and utilization. These innovative applications often provide effective solutions to complex, longstanding challenges that have remained unresolved for years. By expanding the reach of AI and machine learning, we unlock new possibilities and facilitate advancements in various sectors. These include, but are not limited to, scientific research, education, transportation, smart city planning, eHealth, and the metaverse.

However, our predominant focus on performance can sometimes lead to critical oversights. For instance, our constant dependence on immediate access to information might cause us to ignore the energy consumption and environmental consequences associated with the computing systems that enable such access. Balancing performance with sustainability is crucial for the technology’s continued growth.