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Speaking of technology, it is hard not to mention artificial
Speaking of technology, it is hard not to mention artificial
Introduction Today, traditional businesses are getting prepared for disruption from
Computer vision an application of AI, which is way beyond
Once a deep learning model is trained and ready to
With intense competition and awareness, healthcare providers are focusing on
IoT has been driving the evolution of wearables devices in
We find mentors for ourselves, so that we don’t need
Cloud computing has gained a lot of attention in recent years. To ensure that the cloud is not overworked or overloaded, devices too need to develop the capability to collect and analyze data on their own. Edge computing is about processing data right where it is generated and to quickly act on the insights that are gained from the analyzed data. Artificial intelligence can be used at the edge to overcome a set of challenges that are associated with cloud computing and this blog will discuss the scope of AI for edge computing.
Deep learning is what makes it possible to solve complex problems with higher level of sophistication. Executing tasks that rely on deep learning is quite a challenge for data scientists and engineers. To help with the development of these tools, we currently have a list of deep learning frameworks. This blog will discuss which frameworks can be used to simplify difficult programming challenges.
eInfochips, an Arrow Electronics company, is a leading provider of digital transformation and product engineering services. eInfochips accelerates time to market for its customers with its expertise in IoT, AI/ML, security, sensors, silicon, wireless, cloud, and power. eInfochips has been recognized as a leader in Engineering R&D services by many top analysts and industry bodies, including Gartner, Zinnov, ISG, IDC, NASSCOM and others.
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