Collaborating Authors


Amazon's Alexa being tested to replicate voice of dead relatives


Amazon's Alexa might soon replicate the voice of family members - even if they're dead. The capability, unveiled at Amazon's Re:Mars conference in Las Vegas, is in development and would allow the virtual assistant to mimic the voice of a specific person based on a less than a minute of provided recording. Rohit Prasad, senior vice president and head scientist for Alexa, said at the event Wednesday that the desire behind the feature was to build greater trust in the interactions users have with Alexa by putting more "human attributes of empathy and affect." "These attributes have become even more important during the ongoing pandemic when so many of us have lost ones that we love," Prasad said. "While AI can't eliminate that pain of loss, it can definitely make their memories last."

Expressive Querying for Accelerating Visual Analytics

Communications of the ACM

In this work, we introduce the problem of visualization search and highlight two underlying challenges of search enumeration and visualization matching.

This data scientist wants to address human issues around AI


Data scientist Oisín Boydell is working on a project that seeks to democratise access to an ever-increasing volume of Earth observation data. Dr Oisín Boydell is principal data scientist and head of the applied research group at CeADAR, the SFI-funded centre for applied AI at University College Dublin (UCD). His primary research interests include trustworthy AI, deep learning, natural language processing and applications of AI to Earth observation data. After working as a software developer in the UK, Boydell returned to UCD to undertake a PhD in computer science, researching novel approaches for personalised information retrieval. Prior to joining CeADAR he worked with SMEs and multinationals on big data analytics and machine learning solutions for the telecommunications industry.

Data Scientist - Demand Forecasting


Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Artificial Intelligence Tutorial for Beginners


This Artificial Intelligence tutorial provides basic and intermediate information on concepts of Artificial Intelligence. It is designed to help students and working professionals who are complete beginners. In this tutorial, our focus will be on artificial intelligence, if you wish to learn more about machine learning, you can check out this tutorial for complete beginners tutorial of Machine Learning. Through the course of this Artificial Intelligence tutorial, we will look at various concepts such as the meaning of artificial intelligence, the levels of AI, why AI is important, it's various applications, the future of artificial intelligence, and more. Usually, to work in the field of AI, you need to have a lot of experience. Thus, we will also discuss the various job profiles which are associated with artificial intelligence and will eventually help you to attain relevant experience. You don't need to be from a specific background before joining the field of AI as it is possible to learn and attain the skills needed. While the terms Data Science, Artificial Intelligence (AI) and Machine learning fall in the same domain and are connected, they have their specific applications and meaning. Simply put, artificial intelligence aims at enabling machines to execute reasoning by replicating human intelligence. Since the main objective of AI processes is to teach machines from experience, feeding the right information and self-correction is crucial. The answer to this question would depend on who you ask. A layman, with a fleeting understanding of technology, would link it to robots. If you ask about artificial intelligence to an AI researcher, (s)he would say that it's a set of algorithms that can produce results without having to be explicitly instructed to do so. Both of these answers are right.

Best AI & Machine Learning Solutions


Build a powerful end-to-end Machine Learning Solution. Bring your unique business ideas to life with the growing AI & Machine Learning capabilities. Call Us Now!

AI Based Emotion Detection for Textual Big Data: Techniques and Contribution


Online Social Media (OSM) like Facebook and Twitter has emerged as a powerful tool to express via text people’s opinions and feelings about the current surrounding events. Understanding the emotions at the fine-grained level of these expressed thoughts is important for system improvement. Such crucial insights cannot be completely obtained by doing AI-based big data sentiment analysis; hence, text-based emotion detection using AI in social media big data has become an upcoming area of Natural Language Processing research. It can be used in various fields such as understanding expressed emotions, human–computer interaction, data mining, online education, recommendation systems, and psychology. Even though the research work is ongoing in this domain, it still lacks a formal study that can give a qualitative (techniques used) and quantitative (contributions) literature overview. This study has considered 827 Scopus and 83 Web of Science research papers from the years 2005–2020 for the analysis. The qualitative review represents different emotion models, datasets, algorithms, and application domains of text-based emotion detection. The quantitative bibliometric review of contributions presents research details such as publications, volume, co-authorship networks, citation analysis, and demographic research distribution. In the end, challenges and probable solutions are showcased, which can provide future research directions in this area.

M. Tech. in Artificial Intelligence


The Core courses give them sufficient expertise in the areas of Algorithm Analysis and Design, Modern Computer Architecture, Artificial Intelligence Foundations, Data Science and Machine Learning, Parallel and Distributed Data Management etc. Elective courses include various application domains of AI such as Robotics, Video/Image Analytics, Medical Signal Processing, Agents Based Systems, Data Mining and Business Analytics, Natural Language processing, Wireless Sensor Networks, Internet of things etc. Once they complete the course, students get opportunities to get fully paid Internships and placement offers at MNCs and IT/ITES companies like Intel, Cerner, Robert Bosch, DELL etc. Also, they could publish quality research papers of the case studies/dissertations done as part of their M. Tech. Along with regular M. Tech, this program also provides opportunities to do Dual Degree Program (M. Tech from Amrita and MS from International universities) or One Semester/ One Year abroad programs offered by premiere universities like KTH (Sweden), Politecnico Di Milano (Italy), University of New Mexico (USA) and RWTH (Aachen University Germany).

Global Big Data Conference


If you've ever used predictive text, you've used natural language processing technology. But its uses extend far beyond finishing your sentences in texts and emails. Find out how it can benefit your company, your team, and your customers. A computer didn't write this article. It wrote this one for The Guardian, though.

AI Bookkeeping & the Future of Bookkeeping Processes


Every country follows their own way of accounting principles but only in the last century a generally accepted accounting principle model was introduced and many countries are synchronizing themselves to this with tweaks. The role of bookkeeping & accounting has morphed over the years and their prominence has grown taking center stage of the firm. Financial reporting, data & trend analysis serves as an anchor for critical thinking and decision making to the management. With the advent of computers and mainframes the accounting industry also had a facelift to accommodate the changes of times. Many accounting desktop or online software namely, Quickbooks, Xero etc. came into existence to help maintain accounting and bookkeeping records digitally.