We recently compiled a list of 10 AI News Updates You Shouldn’t Miss. In this article, we’ll take a look at where Amazon.com, Inc. (NASDAQ:AMZN) stacks up to other AI stocks to watch.
The 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 such as traffic control, which involve great variability. . Reinforcement learning models, commonly used for AI decision making, often fail when faced with 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 many 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-transfer learning, allowing trained models to perform well on similar untrained tasks. According to the report, this technique could revolutionize complex systems, reducing costs and improving the reliability of AI. The research received funding from the NSF, Amazon Robotics and others.
ALSO READ: 30 The Most Important AI Stocks According to BlackRock And Beyond Tech Giants: 35 Non-Tech AI Opportunities.
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Amazon.com, Inc. (NASDAQ: AMZN) operates as a technology conglomerate with primary interests in the e-commerce industry. On November 29, storage news platform Block & Files reported that the Amazon FSx scalable file storage service for Luster, powered by AWS, promised 12x faster GPU throughputs to facilitate enterprise workloads. learning AI and reducing costs. The platform noted that FSx for Luster now supports Amazon’s Elastic Fabric adapter and NVIDIA GPUDirect storage system. With this combination, FSx for Luster can deliver up to 12x higher throughput per client instance (1200 Gbps) compared to previous FSx for Luster systems.