Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The potential threat posed by the rapid development of artificial intelligence (AI) means safeguards need to be built in to systems from the start rather than tacked on later, a top U.S. official said on Monday. "We've normalized a world where technology products come off the line full of vulnerabilities and then consumers are expected to patch those vulnerabilities. We can't live in that world with AI," said Jen Easterly, director of the U.S. Cybersecurity and Infrastructure Security Agency.

During a virtual keynote at Google I/O 2021, Google's developer conference, Google Cloud has launched Vertex AI, a fully managed cloud platform that simplifies the deployment and maintenance of machine learning models. It's designed to help companies to accelerate the deployment and maintenance of AI models, Google says, by requiring nearly 80% fewer lines of code to train a model versus competitive platforms. Vertex offers access to the MLOps toolkit internally at Google for computer vision, language, conversation, and structured data workloads. MLOps, a compound of machine learning and information technology operations, is a newer discipline involving collaboration between data scientists and IT professionals to productize machine learning algorithms. "Data scientists have a big challenge about manually piecing ML point solutions, creating a lag time in model development and experimentation, resulting in very few models making it into production. To tackle these challenges, Vertex AI brings together the Google Cloud services for building ML under one unified UI and API, to simplify the process of building, training, and deploying machine learning models at scale" Craig Wiley, the director of product management for Google Cloud's AI Platform states.

During a virtual keynote at Google I/O 2021, Google's developer conference, Google Cloud has launched Vertex AI, a fully managed cloud platform that simplifies the deployment and maintenance of machine learning models. It's designed to help companies to accelerate the deployment and maintenance of AI models, Google says, by requiring nearly 80% fewer lines of code to train a model versus competitive platforms. Vertex offers access to the MLOps toolkit internally at Google for computer vision, language, conversation, and structured data workloads. MLOps, a compound of machine learning and information technology operations, is a newer discipline involving collaboration between data scientists and IT professionals to productize machine learning algorithms. "Data scientists have a big challenge about manually piecing ML point solutions, creating a lag time in model development and experimentation, resulting in very few models making it into production. To tackle these challenges, Vertex AI brings together the Google Cloud services for building ML under one unified UI and API, to simplify the process of building, training, and deploying machine learning models at scale" Craig Wiley, the director of product management for Google Cloud's AI Platform states.