Surviving the AI revolution
Artificially intelligent robots are finally set on replacing humans in the labor pool, and due to this, the society can shift dramatically. Until the AI revolution is complete, humans can…
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Insights on AI, machine learning, computer vision, and enterprise technology.
Big Data Curation
The current data environment presents a growing variety and volume of data. While at the same time, a new mode of inquiry, problem solving, and decision-making is also becoming pervasive…
Causal inference in AI
Causality is based on how we view and react to the environment around us, to our decision making, and to the advancement of science. Causal inference in AI has advanced…
Enabling blockchain technology with IMC
The current problem with blockchain implementation is that existing legacy systems do not support secure, instantaneous, and well-integrated decentralized cryptosystems. Thus, building such ecosystems require scalable, distributed, and well-protected computing…
Applying Deep Learning to natural language processing
Natural language processing (NLP) is one of the most important technologies present in the information age. Understanding complex language utterances is a crucial part of artificial intelligence. Applications of NLP…
Expenditures in an IoT initiative
The Internet of Things is a fast-emerging ecosystem of IP-connected devices and has the potential of delivering significant business benefits valued at trillions of dollars in the coming decade across…
Big data in disaster management
The irony is that while a crisis calls for a quick and efficient response, it is often met with chaos and disorganization. All communities, worldwide, are vulnerable to crisis, both…