摘要： The latest study showed expanding data sets with “fake data” offered at least 40% increase in the performance of robots. A new method widens training data sets for robots that operate with soft things like ropes and fabrics, or in congested situations, taking a step toward creating robots that can learn on the fly like people do.
摘要： Artificial intelligence unlocks the true potential of IoT by enabling networks and devices to learn from past decisions, predict future activity, and continuously improve performance and decision-making capabilities.
摘要： Numerous examples of machine learning show that machine learning (ML) can be extremely useful in a variety of crucial applications, including data mining, natural language processing, picture recognition, and expert systems. In all of these areas and more, ML offers viable solutions, and it is destined to be a cornerstone of our post-apocalyptic civilization.
摘要： The new Meta AI model called NLLB-200 can translate 200 languages and improves quality by 44 percent on average, and has demonstrated tremendous potential.
摘要： The research, led by scientists from Johns Hopkins University, Georgia Institute of Technology, and the University of Washington, is thought to be the first to demonstrate that robots programmed with a widely accepted paradigm exhibit significant racial and gender prejudices.
摘要： A new platform launched by Vodafone and Google called AI Booster aims to handle thousands of ML models a day across 18+ countries. AI Booster is the result of 18 months of development and is built upon Google’s Vertex AI and integrates with Vodafone’s Neuron platform. When Vodafone began work on AI Booster, Vertex AI and other Google technologies had not yet received official announcements.
