Thursday, December 5, 2024

Alphabet Inc. (GOOG): Google Launches AI-Powered ‘Learn About’ Search Experiment to Enhance User Learning

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We recently compiled a list of the 10 AI News Updates You Should Not Miss. In this article, we are going to take a look at where Alphabet Inc. (NASDAQ:GOOG) stands against the other AI stocks you should not miss.

Latest reports, published by MIT News, suggest that researchers at the Massachusetts Institute of Technology have developed a more efficient algorithm, called Model-Based Transfer Learning (MBTL), to improve AI decision-making in tasks like traffic control, which involves high variability. Reinforcement learning models, commonly used for AI decision-making, often fail when facing minor changes in their training tasks. MBTL strategically selects the most impactful tasks to train on, improving overall performance while reducing training costs.

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For example, controlling traffic in a city involves numerous intersections with varying conditions. Instead of training separate algorithms for each intersection or one generalized algorithm for all, MBTL identifies and trains on a subset of key intersections. It leverages zero-shot transfer learning, allowing trained models to perform well on untrained, similar tasks. Per the report, this technique could revolutionize complex systems, reducing costs and improving AI reliability. The research received funding from NSF, Amazon Robotics, and others.

READ ALSO: 30 Most Important AI Stocks According to BlackRock and Beyond the Tech Giants: 35 Non-Tech AI Opportunities.

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A laptop and phone open to Google’s services in an everyday setting.

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Alphabet Inc. (NASDAQ:GOOG) is a California-based technology company that owns and runs the internet search engine Google. The company recently launched an AI-powered search experiment called Learn About. Per a report by tech news platform Tron Weekly, the experiment offers a new way for users to explore content and deepen their understanding of various topics. The initiative is part of the larger Learning Initiative by Google, and introduces an interactive, conversational search experience designed to engage users in a dynamic, learning-centric environment. Per the report, it allows users to explore subjects through a series of Interactive Lists, offering progressively granular summaries, related content, and subtopic support.

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