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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
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Amazon Bedrock Flows is now generally available with enhanced safety and traceability | AWS Machine Learning Blog
Today, we are excited to announce the general availability of Amazon Bedrock Flows (previously known as Prompt Flows). With Bedrock Flows, you can quickly build and execute complex generative AI workflows without writing code. Bedrock Flows makes it easier for developers and businesses to harness the power of generative AI, enabling you to create more sophisticated and efficient AI-driven solutions for your customers.
Top Online Courses on Google Gemini - MarkTechPost
Google Gemini is a generative AI-powered collaborator from Google Cloud designed to enhance various tasks such as code explanation, infrastructure management, data analysis, and application development. Its features include text generation, error detection, security configuration, and resource management. Learning about Gemini's functionalities is important because it can significantly improve productivity, efficiency, and accuracy in diverse technical workflows, making it a valuable tool for professionals in the tech industry. This article lists the top courses on Gemini that provide comprehensive training on leveraging its capabilities to streamline tasks, improve workflows, and maximize the potential of Google Cloud services for professionals. Introduction
Apple Releases AIMv2: A Family of State-of-the-Art Open-Set Vision Encoders - MarkTechPost
Vision models have evolved significantly over the years, with each innovation addressing the limitations of previous approaches. In the field of computer vision, researchers have often faced challenges in balancing complexity, generalizability, and scalability. Many current models struggle to effectively handle diverse visual tasks or adapt efficiently to new datasets. Traditionally, large-scale pre-trained vision encoders have used contrastive learning, which, despite its success, presents challenges in scaling and parameter efficiency. There remains a need for a robust, versatile model that can handle multiple modalities—such as images and text—without sacrificing performance or requiring extensive data filtering. AIMv2: A New Approach Apple
How to Build a Personal Brand as an Android Developer on Medium and GitHub | by Gaurav Kumar | Nov, 2024 | Medium
In today’s competitive job market, being a great Android developer isn’t just about writing clean code — it’s about showcasing your expertise to the world. A strong personal brand can set you apart…
Accelerate your data workflows with Amazon Redshift Data API persistent sessions | AWS Big Data Blog
In this post, we'll walk through an example ETL process that uses session reuse to efficiently create, populate, and query temporary staging tables across the full data transformation workflow—all within the same persistent Amazon Redshift database session. You'll learn best practices for optimizing ETL orchestration code, reducing job runtimes by eliminating connection overhead, and simplifying pipeline complexity