A Distilled List of AI Trends For 2020

With this article, I would like to dive into both technical and non-technical aspects and trends of AI, discussing relatively new trends such as AutoML to more articulated and ethical aspects of AI, which day by day are slowly touching more companies and final users. In 2019 giant chip manufacturers such as Intel, Qualcomm or NVIDIA released chips that are specifically crafted to only execute AI-based applications, mainly in the computer vision field, natural language processing, and speech recognition. Google released TensorFlow 2.0, which extends the support for TensorFlow on Node.js, integrates with iOS and finally, officially changed its high-level API to Keras, making it mobile and PWA first. Moreover, BERT models evolved into DistilBERT or FastBert, computer vision algorithms are at a level able to execute the majority of consumer's tasks with a very good level of accuracy. Big players such as DeepMind or OpenAI further pushed the boundaries of reinforcement learning, a field that is seeing its first real-world applications.