Lily Nelson
Using AI to Fight Wildfires -- Prevention, ...

In a world overshadowed by the rapid deterioration of its climate, AI engineers are beginning to apply machine learning technology to issues of environmental justice and crisis. In California, where wildfires have ravaged over 570,000 acres of land and forced 41,000 evacuations already this summer, AI is being used to prevent and monitor forest fires throughout the state.

Using AI to Fight Wildfires -- Prevention, Detection, & Monitoring with Computer Vision

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AI Gone Wrong? The Critical Role of Chatbot Testing and Certification

AI Gone Wrong? The Critical Role of Chatbot Testing and Certification

AI chatbots are transforming customer service by providing 24/7 availability and interactions that resemble human conversation. It's anticipated that by 2025, 80% of customer support will utilize Generative AI to improve the customer experience and increase agent efficiency. However, the swift adoption of this promising technology has faced obstacles, particularly miscommunications that have risked brand reputations. To prevent inaccuracies it's essential to adopt thorough AI testing and certification processes. In this article, learn more about why rigorous testing and certification are critical for the successful integration of AI chatbots in customer service.

Modern AI Text Generation: An Exploration of GPT-3, Wu Dao 2.0 & other NLP Advances

Modern AI Text Generation: An Exploration of GPT-3, Wu Dao 2.0 & other NLP Advances

Within this last year alone, there has been a paradigm shift in model development as research groups are ingesting (nearly) the entire world's worth of information on the internet to train massive deep learning models capable of performing fantastic or frightening feats, depending on your perspective. In this article, we explore an AI compositional technology, known as generative modeling, and demonstrate its ability to simulate human-realistic text.

Understanding Conversations in Depth through Synergistic Human/Machine Interaction

Every day, billions of people communicate via email, chat, text, social media, and more. Understanding the conversation begins with understanding one document. Once we can teach a machine to understand everything in a single document, we can project this understanding up to a collection, thread or larger corpus of documents to understand the broader conversation.