Embedded development is often driven by the need to deploy highly optimized and efficient
Topic: Artificial intelligence technologies
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Business leaders need to invest more in creating a future-ready workforce to overcome skills gaps that can impede progress towards a real-time
Many businesses use container-based microservices architectures to develop AI. The container orchestrator Kubernetes can help with management and
AI is an integral part of Digital Process Automation, and the potential of AI optimizations for on-chain (Blockchain transactions) and off-chain data (IoT, …
Perhaps the underlying reason AI, CI, and other technologies will be disruptive factors in 2020 is digital transformation.
The ability to move to Industry 4.0 depends on an organization's ability to scale its proofs of concept to a more industrialized
Eveline was developed based on the personal experience of Eveline co-founder and CTO Carson Chen and his wife.
The industry is already booming but is still rather unstructured. We may see better frameworks and solutions come from companies, as it
CI based on analysis of sensor and IoT data can help spot state changes in devices and make predictions about an asset's failire
With full autonomy, operating costs would decline by about 45 percent, saving the US for-hire trucking industry between $85 billion and $125