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2018 Call for Code Winner Project OWL advances its natural disaster communication network

IBM Journey to AI blog

Formed in 2018 to compete in the inaugural Call for Code Global Challenge — which it won — Project OWL is a global team of entrepreneurs focused on creating radically cost-effective and easy to use aerospace technologies. This is where Project OWL comes into play: developing new technologies to help address these challenges.

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12 Alternatives of Sora Easing Our Work in 2024

Analytics Vidhya

Introduction In 2018, when we were contemplating whether AI would take over our jobs or not, OpenAI put us on the edge of believing that. Our way of working has completely changed after the inception of OpenAI’s ChatGPT in 2022. But is it a threat or a boon?

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Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud

Analytics Vidhya

However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). Introduction Welcome to the world of Large Language Models (LLM). In the old days, transfer learning was a concept mostly used in deep learning.

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AutoML – A No Code Solution for Building Machine Learning Models

Analytics Vidhya

In the year 2018, Google launched cloud AutoML which gained a lot of interest and is one of the most significant tools in the field of Machine Learning and Artificial Intelligence. Introduction AutoML is also known as Automatic Machine Learning.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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ML and NLP Publications in 2018

Marek Rei

Venues We start off by looking at the publications at all the conferences between 2012-2018. Authors Next up, we can look at individual authors who have published most papers in these conferences during 2018. Looking at the total number of publications between 2012-2018, Chris Dyer (DeepMind) is still at the top with 97.

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An Introduction to BigBird

Analytics Vidhya

Source: Canva|Arxiv Introduction In 2018 GoogleAI researchers developed Bidirectional Encoder Representations from Transformers (BERT) for various NLP tasks. This article was published as a part of the Data Science Blogathon.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.