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Reporter: Pauline Caballero 1. Top 10 Trends in Software Development Software development is constantly changing, with new trends and technologies emerging every year. Here are some of the top 10 trends that are shaping the software development industry in 2020: • Artificial Intelligence: Artificial intelligence (AI) is becoming increasingly important in the software development process. AI-driven software can help automate processes, detect patterns, and provide insights into data. • Microservices Architecture: Microservices architecture is a way of developing software that focuses on breaking down applications into small, independent services. This allows for easier scalability and quicker development times. • Cloud Computing: Cloud computing is becoming increasingly popular in software development, as it allows applications to be hosted in remote servers and accessed from anywhere. • Containers: Containers are a way of packaging applications so that they can run in any environment without needing to be re-configured. This makes deployment easier and faster. • Serverless Computing: Serverless computing is a way of running applications without the need for a dedicated server. This can help reduce costs and increase scalability. • DevOps: DevOps is an approach to software
François Chollet is the creator of Keras, which is an open source deep learning library that is designed to enable fast, user-friendly experimentation with deep neural networks. It serves as an interface to several deep learning libraries, most popular of which is TensorFlow, and it was integrated into TensorFlow main codebase a while back. Aside from creating an exceptionally useful and popular library, François is also a world-class AI researcher and software engineer at Google, and is definitely an outspoken, if not controversial, personality in the AI world, especially in the realm of ideas around the future of artificial intelligence.
Chris Lattner is a senior director at Google working on several projects including CPU, GPU, TPU accelerators for TensorFlow, Swift for TensorFlow, and all kinds of machine learning compiler magic going on behind the scenes. He is one of the top experts in the world on compiler technologies, which means he deeply understands the intricacies of how hardware and software come together to create efficient code. He created the LLVM compiler infrastructure project and the CLang compiler. He led major engineering efforts at Apple, including the creation of the Swift programming language. He also briefly spent time at Tesla as