AI Roundup: The Top 7 Announcements from Tech Giants

AI Roundup is one of the most dynamic and disruptive fields of technology, with constant innovations and breakthroughs happening across various domains and industries. In this article, we will look at some of the top announcements from the tech giants in the field of AI in the past month, and what they mean for the future of AI.

Google launches Vertex AI, a unified platform for machine learning: Google announced Vertex AI, a new cloud-based platform that aims to simplify and accelerate the development, deployment, and management of machine learning models. Vertex AI integrates various Google services and tools, such as AutoML, AI Platform, TensorFlow, BigQuery, and Dataflow, into a single interface that allows users to build, train, test, and monitor their models with minimal code and configuration. Vertex AI also offers features such as MLOps, Explainable AI, Continuous Monitoring, and Feature Store, to help users scale and optimize their machine learning workflows.

Microsoft unveils Azure Applied AI Services, a suite of AI solutions for common scenarios: Microsoft launched Azure Applied AI Services, a new set of cloud-based AI solutions that address common business scenarios, such as customer service, document processing, and conversational AI. Azure Applied AI Services are built on top of Azure Cognitive Services, Microsoft’s collection of pre-trained AI models for vision, speech, language, and decision making. Azure Applied AI Services provide users with templates, best practices, and guidance to quickly and easily implement AI solutions in their applications and processes.

Amazon introduces AWS DeepRacer Evo, an upgraded version of its autonomous racing car: Amazon unveiled AWS DeepRacer Evo, an enhanced version of its AWS DeepRacer, a 1/18th scale autonomous racing car that uses reinforcement learning to navigate complex tracks. AWS DeepRacer Evo features two new sensors, a stereo camera and a LiDAR, that enable the car to detect and avoid obstacles, such as other cars, walls, and traffic cones. AWS DeepRacer Evo also comes with a new sensor kit that allows users to upgrade their existing AWS DeepRacer cars with the new sensors. AWS DeepRacer Evo is designed to help users learn and experiment with advanced reinforcement learning techniques and applications.

Facebook releases PyTorch 1.8, the latest version of its open-source deep learning framework: Facebook announced PyTorch 1.8, the latest version of its popular open-source deep learning framework that powers many of Facebook’s AI products and services, such as Instagram, Messenger, and Portal. PyTorch 1.8 introduces several new features and improvements, such as support for distributed training on mobile devices, integration with Cloud TPU Pods, enhanced support for complex numbers and sparse tensors, and new libraries and tools for natural language processing, computer vision, and audio processing & AI Roundup

Apple acquires Inductiv, a startup that uses AI to clean and structure data: Apple acquired Inductiv, a startup that uses AI to automate the process of cleaning and structuring data, which is often a tedious and time-consuming task for data scientists and analysts. Inductiv’s technology uses machine learning to identify and correct errors, inconsistencies, and anomalies in data, as well as to enrich and organize data into meaningful categories and labels. Apple’s acquisition of Inductiv is expected to enhance its Siri and other AI-powered services, as well as to support its data privacy and security initiatives & AI Roundup.

IBM launches Watson Orchestrate, a new AI service that automates workflows: IBM launched Watson Orchestrate, a new AI service that automates workflows and tasks for professionals, such as salespeople, marketers, and managers. Watson Orchestrate uses natural language processing and pre-trained skills to understand the user’s intent and context, and to execute actions across various applications and systems, such as email, calendar, CRM, ERP, and Slack. Watson Orchestrate also learns from the user’s feedback and preferences, and adapts to their style and needs. Watson Orchestrate is designed to help users save time, increase productivity, and focus on higher-value work.

Tesla reveals Dojo, its supercomputer for training self-driving AI: Tesla revealed Dojo, its supercomputer for training self-driving AI, which is claimed to be the fifth most powerful computer in the world. Dojo consists of 10 exaflops of computing power, which is equivalent to 10 quadrillion floating-point operations per second. Dojo is built with Tesla’s own custom chips, called D1, which are optimized for matrix multiplication, a key operation for deep learning. Dojo is expected to enable Tesla to process and analyze the massive amounts of data collected from its fleet of vehicles, and to improve its self-driving AI capabilities.

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