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Elystar redefines Public Securities Investment with explainable Artificial Intelligence - Founder, Dr Satya Gautam Vadlamudi


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 technology to create investment strategies, Elystar aims to increase net returns by reducing machine/AI-made errors and thereby successfully leveraging the superior insights provided by AI.
Artificial Intelligence in finance is a relatively new concept that is still being explored and experimented upon. While few of the firms experimenting are sparingly using it for short-term trading, we have spent the past 15 months developing models to use it for long-term investments. One simpl ....

West Bengal , Satya Gautam Vadlamudi , Artificial Intelligence , Explainable Artificial Intelligence , Alternative Investment Funds , மேற்கு பெங்கல் , செயற்கை உளவுத்துறை , மாற்று முதலீடு நிதி ,

Elystar redefines Public Securities Investment with explainable Artificial Intelligence


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 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 technology to create investment strategies, Elystar aims to increase net returns by reducing machine/AI-made errors and thereby successfully leveraging the superior insights provided by AI. ....

West Bengal , Satya Gautam Vadlamudi , Artificial Intelligence , Explainable Artificial Intelligence , Alternative Investment Funds , மேற்கு பெங்கல் , செயற்கை உளவுத்துறை , மாற்று முதலீடு நிதி ,

Elystar redefines Public Securities Investment


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 provide users with explanations for given issues and activities. Utilizing this technology to create investment strategies, Elystar aims to increase net returns by reducing machine/AI-made errors and thereby successfully leveraging the superior insights provided by AI. ....

West Bengal , Artificial Intelligence , Explainable Artificial Intelligence , Alternative Investment Funds , மேற்கு பெங்கல் , செயற்கை உளவுத்துறை , மாற்று முதலீடு நிதி ,

Explanation Processes can Make Artificial Intelligence Understandable


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 expected.
Now, scientists from Paderborn University and Bielefeld University are planning to change this and are debating how the explainability of AI can be enhanced and adapted to the requirements of human users.
The researchers’ study was recently published in the renowned journal ....

Philipp Cimiano , Katharina Rohlfing , Bielefeld University , European Union , Explainability Research , Paderborn University , Make Artificial Intelligence , Computer Scientist , General Data Protection , Explainable Artificial Intelligence , How Decisions , பிஎலெபில்ட் பல்கலைக்கழகம் , ஐரோப்பிய தொழிற்சங்கம் , செய்ய செயற்கை உளவுத்துறை , கணினி விஞ்ஞானி , ஜநரல் தகவல்கள் ப்ரொடெக்ஶந் , எப்படி முடிவுகள் ,