Remove 2022 Remove Algorithm Remove Explainability
article thumbnail

Google Research, 2022 & beyond: Algorithmic advances

Google Research AI blog

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Hence, developing algorithms with improved efficiency, performance and speed remains a high priority as it empowers services ranging from Search and Ads to Maps and YouTube. You can find other posts in the series here.)

Algorithm 110
article thumbnail

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.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

YOLOv7: The Most Advanced Object Detection Algorithm?

Unite.AI

July 6th 2022 will be marked down as a landmark in AI history because it was on this day when YOLOv7 was released. The YOLO concept was first introduced in 2016 by Joseph Redmon, and it was the talk of the town almost instantly because it was much quicker, and much more accurate than the existing object detection algorithms.

Algorithm 130
article thumbnail

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.

article thumbnail

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

Towards AI

Since the emergence of ChatGPT in 2022, AI has dominated discussions. This synergy enables AI supercomputers to leverage HPC capabilities, optimizing performance for demanding AI tasks like training deep learning models or image recognition algorithms.

article thumbnail

Exploring the Influence of Ethical AI on Future Business Growth

Aiiot Talk

Ethical algorithms have become a chief concern for many businesses and regulatory agencies. Its output is easily explainable and traceable, meaning you can hold it accountable and verify its conclusions. Naturally, this ideal should be your goal when using an algorithm for business-related endeavors.

Algorithm 233
article thumbnail

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?