Top Artificial Intelligence Trends for Entrepreneurs in 2018
Artificial Intelligence (AI) and Machine Learning (ML) have come a long way in the past couple of years, and 2018 is set to be no different. The never-ending aim of humanizing robots also goes hand in hand with software, and technology is progressing towards further advancements in natural language generation (NLG) and processing (NLP). The two are already used in an automated content generation for social media and marketing agencies. Automated content can also help news reporting and better equip companies to respond to the latest trends.
With Google’s Federated Learning incorporated in Gboard last year, the company has been crowdsourcing ML training on millions of devices around the world, thus moving to a decentralized AI model. The development of edge computing enables this decentralized AI to function at its best without the problems of high latency that is associated with sending data over networks. As edge devices require advanced learning, analytics, and prediction to function effectively, AI and ML will be critical, for devices that run real-time deep learning, while being offline. This will potentially enable more innovation in low-power computer vision and image signaling hardware or software, like on security cameras.
Moreover, due to battery power constraints and limitations of mobile computing power, running AI software or training ML algorithms on mobile devices has always been a matter of talk—making it a real task to look on. However, Apple’s 2017 showing of Core ML library designed for iOS 11, it opens up the avenues for bringing in powerful ML functionality to mainstream mobile devices this year. Apple’s Core ML library has a variety of ML models that can be easily integrated with applications.
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