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January 18, 2022
Feature-attribution methods are used to determine if a neural network is working correctly when completing a task like image classification. MIT researchers developed a way to evaluate whether these feature-attribution methods are correctly identifying the features of an image that are important to a neural network’s prediction.
August 17, 2021
/PRNewswire/ -- Noodle.ai, the leading provider of Flow Operations (FlowOps) software, today announced it has become an Amazon Web Services (AWS) Advanced...
May 7, 2021
Mumbai (Maharashtra) [India], May 7 (ANI/NewsVoir): Since the dawn of the 2000s, Artificial Intelligence (AI) has been making waves through its penetration into various sectors. While AI helps increase efficiency and speed in a system, the lack of feedback when faced with errors has been a glaring concern. Recently developed Explainable Artificial Intelligence (XAI) technology tackles this issue by analyzing data to provide users with explanations for given issues and activities. Utilizing this...
May 7, 2021
Elystar redefines Public Securities Investment with explainable Artificial Intelligence - Founder, Dr Satya Gautam Vadlamudi ANI | Updated: May 07, 2021 17:55 IST Mumbai (Maharashtra) [India], May 7 (ANI/NewsVoir): Since the dawn of the 2000s, Artificial Intelligence (AI) has been making waves through its penetration into various sectors. While AI helps increase efficiency and speed in a system, the lack of feedback when faced with errors has been a glaring...
May 7, 2021
Elystar redefines Public Securities Investment 07 May 2021, 22:56 GMT+10 Mumbai (Maharashtra) [India], May 7 (ANI/NewsVoir): Since the dawn of the 2000s, Artificial Intelligence (AI) has been making waves through its penetration into various sectors. While AI helps increase efficiency and speed in a system, the lack of feedback when faced with errors has been a glaring concern. Recently developed Explainable Artificial Intelligence (XAI) technology tackles this issue by analyzing data to provid...
April 12, 2021
Explanation Processes can Make Artificial Intelligence Understandable Written by AZoRoboticsApr 12 2021 Studying X-ray images, sifting through job applications and indicating new track list—human-machine interaction has become an important part of contemporary life. Image Credit: Peshkova/shutterstock.com Algorithmic decision-making is the basis for such artificial intelligence (AI) processes. But since these processes are usually hard to interpret, they generally prove less useful than expe...
December 19, 2020
XAI startup DarwinAI announces a round led by Honeywell Ventures with deep collaboration XAI startup DarwinAI announces a round led by Honeywell Ventures with deep collaboration DarwinAI, the explainable AI company located in Waterloo, Canada, today announced an investment round led by Honeywell Ventures with participation from ACVC Partners, REDDS Capital, existing investors and numerous angels. The investment extends the capital raised through a seed round raised from Obvious Ventures and Ino...
December 10, 2020
AI experts Michael Fischer and Richard Kennedy explore how the standardisation process in the field of AI is further developing and the importance of having a strong patent strategy.