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AI could consume the same energy as the Netherlands by 2027
A study predicts that the energy consumption of the AI industry could match that of the Netherlands by 2027. However, if AI growth slows, its environmental impact may be less severe. The study’s projections consider factors like current AI growth rate and chip availability. The findings are considered speculative, but evidence from Microsoft suggests significant…
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A New Machine Learning Research from MIT Shows How Large Language Models (LLMs) Comprehend and Represent the Concepts of Space and Time
Large Language Models (LLMs) like ChatGPT have gained popularity for their human-imitating capabilities in tasks like question answering, text summarization, and language translation. However, the extent to which these models truly understand the underlying data-generating process has been questioned. Recent research from MIT has found that LLMs learn structured representations of space and time, indicating…
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Meet the Air-Guardian: An Artificial Intelligence System Developed by MIT Researchers to Track Where a Human Pilot is Looking (Using Eye-Tracking Technology)
Researchers from MIT have developed a guardian system that improves the safety and performance of autonomous aircraft. The system uses visual attention to monitor both the pilot and itself during flight, and intervenes if attention discrepancies exceed predefined thresholds. In simulated scenarios, the collision rate dropped from 46% without the guardian system to just 23%…
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New – No-code generative AI capabilities now available in Amazon SageMaker Canvas
Amazon SageMaker Canvas is a service that allows business analysts and citizen data scientists to use pre-built machine learning models or build their own without writing code. It supports various use cases such as sentiment analysis, document processing, and demand forecasting. The service now includes foundation models, which can generate and summarize content using generative…
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This AI Paper introduces FELM: Benchmarking Factuality Evaluation of Large Language Models
Large language models (LLMs) like ChatGPT have made significant advancements in generative AI, but they still struggle with generating inaccurate information. To address this, a benchmark called FELM has been created to evaluate factuality in LLM outputs. The study focuses on factuality assessment across diverse domains and uses fine-grained annotations to identify and categorize errors.…
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TimesNet: The Latest Advance in Time Series Forecasting
This text is about understanding and applying the TimesNet architecture for forecasting using Python.
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Byte-Pair Encoding For Beginners
This text is an illustrative guide to the BPE tokenizer, explained in a plain and simple manner. It provides insights into the process and benefits of using BPE tokenizer for natural language processing.
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How to Extend Pandas DataFrames with Custom Methods to Supercharge Code Functionality & Readability
This article provides a step-by-step guide on how to extend pandas DataFrames with custom methods. It includes examples of implementing probability and expectancy. Read more on Towards Data Science.
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Dijkstra’s algorithm weighted by travel time in OSM networks
OSMnx 1.6 enables users to find the fastest and shortest route efficiently.
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Generative AI deployment: Strategies for smooth scaling
Generative AI is the next big technology trend that executives are preparing for, but it also comes with risks. The technology is challenging legal frameworks, creating cybersecurity threats, and causing workforce automation concerns. Organizations need to move quickly to meet expectations while ensuring compliance and ethical standards. A poll of 1,000 executives reveals that while…