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The Importance of Implementing Explainable AI in Healthcare

ODSC - Open Data Science

Explainable AI might be the solution everyone needs to develop a healthier, more trusting relationship with technology while expediting essential medical care in a highly demanding world. What Is Explainable AI? Explainable AI (XAI) refers to AI that explains how, where, and why it produces decisions.

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Eight Graphs that Explain Software Engineering Salaries in 2023

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These 2022 numbers have been eagerly anticipated, given the turmoil generated by a spate of tech layoffs in latter part of the year that Dice estimates at more than 140,000. percent in 2022 compared with 2021, reflecting a steady upward trend since 2017 (with 2020 omitted due to the pandemic disruption).

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Google Research, 2022 & beyond: Health

Google Research AI blog

Commensurate with our mission to demonstrate these societal benefits , Google Research’s programs in applied machine learning (ML) have helped place Alphabet among the top five most impactful corporate research institutions in the health and life sciences publications on the Nature Impact Index in every year from 2019 through 2022.

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How do AI supercomputers train large Gen AI models? Simply Explained

Towards AI

Since the emergence of ChatGPT in 2022, AI has dominated discussions. Last Updated on May 14, 2024 by Editorial Team Author(s): Mélony Qin (aka cloudmelon) Originally published on Towards AI. However, behind the scenes, it’s the AI infrastructure that serves as the engine driving the market’s large GenAI models.

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What Is ChatGPT? A Basic Explainer

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In November 2022, San Francisco-based artificial … Still confused by the most popular AI chatbot? Here's everything you need to know about ChatGPT.

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Explosion in 2022: Our Year in Review

Explosion

During 2022, we also launched two popular new services – spaCy Tailored Pipelines and spaCy Tailored Analysis. We can’t wait to show you what we’re building in 2023 for the next chapters of spaCy and Prodigy, but for now, here’s our look back at 2022. Happy reading! New spaCy pipeline components As part of our spaCy v3.3

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Explainability in AI and Machine Learning Systems: An Overview

Heartbeat

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability techniques aim to reveal the inner workings of AI systems by offering insights into their predictions. What is Explainability?