What is RPA? A Software ‘Robot’ is a software application that replicates the actions of a human being interacting with the user interface of a computer system. For example, the execution of data entry into an SAP system – or indeed a full end-to-end business process – would be a typical activity for a software robot. Characteristics of RPA: RPA does not require programming skills. RPA can work with multiple system environment. RPA work well with well-defined rule based process. RPA work well repeatable rule based transactions.
The constant need for customers to innovate and optimize their processes beyond cost arbitrage, automation delivers benefits to both – customers and BPO service providers. The Infosys RPA (Robotic Process Automation) delivers cutting edge automation and robotics and is a clear trendsetter, achieving process perfection by infusing intelligence into automation.
Make automation more accessible so you can focus on what’s important. From code-free automation to your everyday processes in Microsoft teams, the new Power Automate Desktops Robotic Process Automation (RPA) capabilities expands UI automation across a broader spectrum of legacy apps and your favorite web browsers. Automation is no longer only referring to IT automation. As more of what we do every day is digital, automation can apply to almost any process or task. Whether it’s an approval process across the stakeholders, or data entry between different apps, there’s nothing stopping you from automating many of the things that you do every single day. With Power Automate, part of the Microsoft Power platform, you can do digital process automation for any task or business process. Host Jeremy Chapman is joined by Stephen Siciliano, PM Director for Power Automate, who shows the many options for automating repetitive tasks: Everyday processes in your Microsoft 365 apps Win32 apps Web apps across browsers ► QUICK LINKS: 00:00 – Introduction 03:00 – Demo RPA for Legacy App 05:08 – New Power Automate Desktop 08:39 – How to test the automation 10:02 – Automation in a web app in browsers 12:23 – How to track what’s been automated 12:58 – Closing notes ► Link References: Learn more and get started at https://www.powerautomate.com Unfamiliar with Microsoft Mechanics? We are Microsoft’s official video series for IT. You can watch and share valuable content and demos of current and upcoming tech from the people who build it at [More]
Steve Shepley’s Robotic Process Automation Singularity University’s Exponential Manufacturing Summit leads 500+ of the world’s brightest executives, entrepreneurs and investors through an intensive three-day program in Boston to prepare them for the changes brought forth by unstoppable technological progress. From May 17-19, 2017, we explored how exponential technologies including artificial intelligence, additive manufacturing, exponential energy, and bio manufacturing are continually redefining the future of work, production, supply chain, and design. Connect with Exponential Manufacturing:Website: https://su.org/summits/exponential-ma…Facebook: https://www.facebook.com/xmanufacturing/Twitter: https://twitter.com/xmanufacturing About Singularity University:Singularity University is a benefit corporation headquartered at NASA’s research campus in Silicon Valley. We provide educational programs, innovative partnerships and a startup accelerator to help individuals, businesses, institutions, investors, NGOs and governments understand cutting-edge technologies, and how to utilize these technologies to positively impact billions of people. Category People & Blogs License Standard YouTube License
Top 8 Platform Offers Free Python Certification Course | Learn Python For Beginners To Advance Free Our telegram channel link – https://telegram.im/@Trickyman2 🔴 𝗖𝗵𝗲𝗰𝗸𝗼𝘂𝘁 𝘁𝗵𝗶𝘀 𝗙𝗿𝗲𝗲 𝗢𝗻𝗹𝗶𝗻𝗲 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝗪𝗶𝘁𝗵 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 & 𝗦𝗮𝗹𝗮𝗿𝘆 – http://bit.ly/intern_ Free 8 Python Online Courses with certificate Link – https://www.coursejoiner.com/freeonlinecourses/8-best-place-to-learn-python-absolutely-free/ Follow Me on Social Handles : Facebook – https://www.facebook.com/pg/realtrickyman/ Instagram – https://www.instagram.com/realtrickyman/ Twitter – https://twitter.com/RealTrickyMan For Business Enquiry – realtrickyman@gmail.com Topics Covered In This Video : python free courses #FreepythonCourse learn python best python course #freecodingcourses python complete tutorials learn python the hard way python machine learning python for beginners codecademy python #pythoncourse udemy python #courserapython best way to learn python learn python online python ai python training python online course keras python learn to code for free #sololearnpython learn python 3 learn python 3 the hard way best python tutorial learn python free #freecodecamppython free coding classes python free download introduction to machine learning with python learn django learning python mark lutz python programming for beginners free programming courses learn python programming free python ide udemy python course free online python course for beginners deep learning for computer vision with python learn python online free learn to code python python programming course best online coding courses best language for machine learning Disclaimer : On Tricky Man Channel, We are Providing Online Course Websites With Certificates and Latest Online Internships and Job Updates. The content in this video is strictly for educational and informational purposes only.
code used in this video – https://gist.github.com/pknowledge/dc4ba582623cc3682a62d7d7a69f7887 In this video I will show How To Convert Text to Speech in Python. we are going to use gtts python package to TEXT TO SPEECH IN PYTHON. gTTS stands for Google Text-to-Speech. gTTs is a Python library and Command line tool to interface with Google Translate’s text-to-speech API. it Writes text to spoken mp3 data to a file or stdout. So we are going to learn How to Use the Speech Recognition Module GTTS usinng Python 3. text to speech conversion using python is goinng to be few lines of code. #python #texttospeech #gtts ★★★Top Online Courses From ProgrammingKnowledge ★★★ Python Programming Course ➡️ http://bit.ly/2vsuMaS ⚫️ http://bit.ly/2GOaeQB Java Programming Course ➡️ http://bit.ly/2GEfQMf ⚫️ http://bit.ly/2Vvjy4a Bash Shell Scripting Course ➡️ http://bit.ly/2DBVF0C ⚫️ http://bit.ly/2UM06vF Linux Command Line Tutorials ➡️ http://bit.ly/2IXuil0 ⚫️ http://bit.ly/2IXukt8 C Programming Course ➡️ http://bit.ly/2GQCiD1 ⚫️ http://bit.ly/2ZGN6ej C++ Programming Course ➡️ http://bit.ly/2V4oEVJ ⚫️ http://bit.ly/2XMvqMs PHP Programming Course ➡️ http://bit.ly/2XP71WH ⚫️ http://bit.ly/2vs3od6 Android Development Course ➡️ http://bit.ly/2UHih5H ⚫️ http://bit.ly/2IMhVci C# Programming Course ➡️ http://bit.ly/2Vr7HEl ⚫️ http://bit.ly/2W6RXTU JavaFx Programming Course ➡️ http://bit.ly/2XMvZWA ⚫️ http://bit.ly/2V2CoAi NodeJs Programming Course ➡️ http://bit.ly/2GPg7gA ⚫️ http://bit.ly/2GQYTQ2 Jenkins Course For Developers and DevOps ➡️ http://bit.ly/2Wd4l4W ⚫️ http://bit.ly/2J1B1ug Scala Programming Tutorial Course ➡️ http://bit.ly/2PysyA4 ⚫️ http://bit.ly/2PCaVj2 Bootstrap Responsive Web Design Tutorial ➡️ http://bit.ly/2DFQ2yC ⚫️ http://bit.ly/2VoJWwH MongoDB Tutorial Course ➡️ http://bit.ly/2LaCJfP ⚫️ http://bit.ly/2WaI7Ap QT C++ GUI Tutorial For Beginners ➡️ http://bit.ly/2vwqHSZ ★★★ Online Courses to learn ★★★ Data Science – http://bit.ly/2BB3PV8 | http://bit.ly/2IOrpni Machine Learning – http://bit.ly/2J2xex1 Artificial Intelligence – http://bit.ly/2AeIHUR | [More]
In this video we will build a speech assistant app using the speech regonition library and Google’s text-to-speech API. Download Kite free: https://kite.com/download/?utm_medium=referral&utm_source=youtube&utm_campaign=TechGuyWeb&utm_content=speech-assistant-tutorial Code: https://github.com/bradtraversy/alexis_speech_assistant 💖 Become a Patron: Show support & get perks! http://www.patreon.com/traversymedia Website & Udemy Course Links: https://www.traversymedia.com Follow Traversy Media: https://www.twitter.com/traversymedia https://www.instagram.com/traversymedia https://www.facebook.com/traversymedia
Learn how the text of speech works in Windows 10, Here’s how to change the text to speech options in Microsoft Windows 10. This guide show you how to use text-to-speech in Windows 10. Step by step how to configure text to speech settings in Windows 10. See how to change the voice and speed of text-to-speech on Windows 10 computer. .Thanks for watching Howtosolveit Channel. http://www.youtube.com/c/Howtosolveit http://www.youtube.com/c/Howtosolveit #Howtosolveit #Howtosolveit
Afshin Niktash helps you experience the audio recognition capabilities of the MAX78000 in a fun snake game application.
Andy and his team are using AI in the delivery of mental health care for tens of thousands of patients with compelling results. He shares their approach as well as a vision for treating mental health conditions, which underpins his “Eight Billion Minds” program. Andy is Group Chief Science and Strategy Officer at IESO Digital Health in Cambridge, UK. His career has focused on developing innovative technologies that can improve the lives of those with mental health challenges. He trained in psychology and neuroscience at the University of St. Andrews and the University of Cambridge. Andy Blackwell is a scientist and healthcare technology entrepreneur who believes that data in our healthcare systems will fuel the discovery of a new generation of treatments and eradicate “trial and error” from medicine. This year he launched “8 Billion Minds”, a ground-breaking technology program using deep learning to decode and democratize the treatment of mental health conditions. Andy trained in cognitive neuroscience and psychology at the Univ. of St. Andrews and the Univ. of Cambridge. Through clinical research Andy has seen first-hand the often devastating impact that mental health conditions such as Depression and Anxiety Disorders have on patients and their families; this experience drives his determination to improve the quality of treatments available. Andy has worked extensively with neuroscience labs and major pharma, biotech and medical devices companies around the world and serves as Group Chief Science and Strategy Officer at Ieso Digital Health in Cambridge, UK. This talk was given at a [More]
In this episode, we explore whether artificial intelligence can do our jobs better. SUBSCRIBE for more scuffed content ► https://yatstudios.com/sub What we used to ~gen~ these scripts: https://talktotransformer.com Yang 2020 ―――――――――――――――――――――――――――――― Instagram: https://instagram.com/yatstudios Twitter: https://twitter.com/yatstudios Our Site: https://yatstudios.com Created By: Samuel (https://twitter.com/samuelbutler117) Oden Mikal Zoe Credit To: Kevin MacLeod – Fast Talkin, https://incompetech.com (used in The Sargent) Kevin MacLeod – Hush, https://incompetech.com (used in John) Pexels & Pixabay (various stock footage, used in John) Sound Effects, https://www.zapsplat.com (used in The Axe) Elon Musk, https://twitter.com/elonmusk (for paying the employees at OpenAI) Talk to Transformer, https://talktotransformer.com (or else we’d have to download gigabytes of shit to run the neural network)
Artificial intelligence has significantly advanced computer software and its corresponding services across several fields. Yet, several AI pioneers question the “intelligence” of our current technologies, arguing that their capabilities are limited to systematic observation and generalized description of data. The Arts, including fine and performing Arts, can be seen as an ideal testbed for artificial intelligence as these fields have in the core of their artistic process human creativity, one of the key characteristics of human intelligence. This presentation will review the state-of-the-art methods in the field of Computational Creativity and open discussions on the future of Artificial Intelligence in the Arts. This talk was part of the AI Advances and its Applications seminar series. November 4, 2020.
Dr. Dennis Ong is a Technology Evangelist. Dr. Ong is Distinguished Architect and Managing Principal at Verizon. Previously, he served as Chief Architect and Director at Nokia, Alcatel-Lucent, Lucent, and AT&T. He and his teams have launched many innovative and award-winning solutions combining the strengths of high tech companies and multitude of start-up companies. At Verizon, he is working with startups to utilize IoT and Machine Learning to create Smart City solutions to address the most challenging problems facing cities and municipalities. At Nokia, he led a recently acquired start-up to develop the IoT IMPACT platform which received the “”Best IoT Innovation for Mobile Networks”” award at the 2017 Mobile World Congress. At Alcatel-Lucent, he and his team collaborated with three start-ups, based in India, Israel, and Silicon Valley, in creating a highly scalable video optimization and analytics platform that served tens of millions of mobile subscribers worldwide. At Lucent, he launched the first packet-based cellular small cell solution with a start-up in Boston. Originally from Hong Kong, Dennis received Ph.D. in Electrical Engineering from the Ohio State University as University Fellow and MBA with honors from the University of Chicago. He was an adjunct faculty at the Ohio State University. Dennis and his wife, Timmy, enjoy coaching Christian marriage retreats. They are proud parents of three children – Joshua, Jeremiah, and Hannah. Dennis is an active learner and an avid swimmer. Dr. Dennis Ong is Distinguished Architect and Managing Principal at Verizon. Previously, he served as Chief Architect and [More]
We’ve learned how to train different machine learning models and make predictions, but how do we actually choose which model is “best”? We’ll cover the train/test split process for model evaluation, which allows you to avoid “overfitting” by estimating how well a model is likely to perform on new data. We’ll use that same process to locate optimal tuning parameters for a KNN model, and then we’ll re-train our model so that it’s ready to make real predictions. Download the notebook: https://github.com/justmarkham/scikit-learn-videos Quora explanation of overfitting: http://www.quora.com/What-is-an-intuitive-explanation-of-overfitting/answer/Jessica-Su Estimating prediction error: https://www.youtube.com/watch?v=_2ij6eaaSl0&t=2m34s Understanding the Bias-Variance Tradeoff: http://scott.fortmann-roe.com/docs/BiasVariance.html Guiding questions for that article: https://github.com/justmarkham/DAT8/blob/master/homework/09_bias_variance.md Visualizing bias and variance: http://work.caltech.edu/library/081.html WANT TO GET BETTER AT MACHINE LEARNING? HERE ARE YOUR NEXT STEPS: 1) WATCH my scikit-learn video series: https://www.youtube.com/playlist?list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A 2) SUBSCRIBE for more videos: https://www.youtube.com/dataschool?sub_confirmation=1 3) JOIN “Data School Insiders” to access bonus content: https://www.patreon.com/dataschool 4) ENROLL in my Machine Learning course: https://www.dataschool.io/learn/ 5) LET’S CONNECT! – Newsletter: https://www.dataschool.io/subscribe/ – Twitter: https://twitter.com/justmarkham – Facebook: https://www.facebook.com/DataScienceSchool/ – LinkedIn: https://www.linkedin.com/in/justmarkham/
MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020 Instructor: Jeremy Kepner, Vijay Gadepally View the complete course: https://ocw.mit.edu/RES-LL-005IAP20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62uI_DWNdWoIMsgPcLGOx-V This lecture provided an overview on artificial intelligence and took a deep dive on machine learning, including supervised learning, unsupervised learning, and reinforcement learning. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
** Machine Learning Training with Python: https://www.edureka.co/machine-learning-certification-training ** This Edureka video on ‘Mathematics for Machine Learning’ teaches you all the math needed to get started with mastering Machine Learning. It teaches you all the necessary topics and concepts of Linear Algebra, Multivariate Calculus, Statistics, and Probability and also dives into the actual implementation of these topics. Blog Link: https://bit.ly/2PX5lIp Check out our playlist for more videos: http://bit.ly/2taym8X —————————————————————————— Subscribe to our channel to get video updates: https://bit.ly/2PYu1jD Hit the subscribe button above. Edureka Community: https://bit.ly/EdurekaCommunity Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekaIN LinkedIn: https://www.linkedin.com/company/edureka/ SlideShare: https://www.slideshare.net/EdurekaIN/ #Edureka #MachineLearning #MathematicsForMachineLearning # —————————————————————————— How does it work? 1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will be working on a real-time project for which we will provide you with a Grade and a Verifiable Certificate! —————————————————————————— About the Course Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in Python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You [More]
🔥 Get the pdf of this course: https://bit.ly/getpdf_covidprediction 🔥 Great Learning brings you this live session on ‘Predicting COVID-19 With Machine Learning’.In this session, we will take a COVID-19 dataset and understand how the disease has spread across different countries. We will perform some data manipulation and data visualization operations on top of the dataset. We will also be implementing a linear regression algorithm to understand the number of active and recovered cases Visit Great Learning Academy, to get access to 80+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. https://glacad.me/3duVMLE The data-set used is from ‘Our World in Data’. You can download the dataset from this link:https://github.com/owid/covid-19-data/tree/master/public/data Get the free Great Learning App for a seamless experience, enrol for free courses and watch them offline by downloading them. https://glacad.me/3cSKlNl About Great Learning: – Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. – For more interesting tutorials, don’t forget to subscribe to our channel: https://bit.ly/2s92TDX – Learn More at https://www.greatlearning.in/ For more updates [More]
Can you predict the Bitcoin Price with Machine Learning? It seems like it’s possible! Using an LSTM algorithm, I showcase how you can use machine learning to predict prices of cryptocurrencies. Machine Learning can most definitely be used as a support in your bitcoin investing, and as a predictor of the price of cryptocurrencies. Find the code at: https://github.com/OscarAlsingCommunity/Predict-Cryptocurrency-Price-With-Machine-Learning Resources: http://colah.github.io/posts/2015-08-Understanding-LSTMs/ https://github.com/NourozR/Stock-Price-Prediction-LSTM https://www.kaggle.com/pablocastilla/predict-stock-prices-with-lstm/ PEACE! ———————————————————————————————- JOIN NO PMO NATION 👬: ———————————————————————————————- 👬 Instagram: https://www.instagram.com/nopmonation/ ———————————————————————————————- JOIN THE ARMY OF HAPPIER AND STRONGER PEOPLE 👬: ———————————————————————————————- 🎓 SUBSCRIBE ON YOUTUBE: https://goo.gl/JDWLKZ 🎓 JOIN US ON SLACK: https://goo.gl/srBTka 🎓 JOIN MY EXCLUSIVE MAILING LIST: http://eepurl.com/di4dNj ———————————————————————————————- POPULAR EDUCATION SERIES 💝: ———————————————————————————————- 🎓 MASTER NOFAP: https://goo.gl/z6E6HU 🎓 BECOME HAPPIER: https://goo.gl/DZ4cps 🎓 ATTRACT WOMEN: https://goo.gl/MKxdeS 🎓 MACHINE LEARNING: https://goo.gl/hULpKQ 🎓 ARTIFICIAL INTELLIGENCE: https://goo.gl/pzCWpU ———————————————————————————————- HOW TO ASK OSCAR QUESTIONS 🎤: ———————————————————————————————- 👬 MESSAGE ME ON INSTAGRAM: https://www.instagram.com/oscaralsing/ 👬 ASK ME ON SLACK: https://goo.gl/srBTka Linkedin: https://www.linkedin.com/in/oscaralsing/ Facebook: https://www.facebook.com/oscaralsingcom Website: http://www.oscaralsing.com ———————————————————————————————- PRODUCTS I LOVE ❤️: ———————————————————————————————- LIFE-CHANGING BOOKS: https://goo.gl/MMH4XG MY CAMERA/PROGRAMMING GEAR: https://goo.gl/WPCkZr ———————————————————————————————- ABOUT OSCAR 💝: ———————————————————————————————- Oscar is a leader, educator and programmer specialised in Artificial Intelligence and Machine Learning who strives to build a world where all leadership spawns from an intrinsic compassion for others. He is heavily interest in mindfulness and meditation and is a daily Brazilian Jiu-Jitsu practitioner. Furthermore, he Loves lifting heavy things and reads a lot of books and believes in a world where compassion and mutual understanding and respect permeate all of our actions. 🎉 Leader of [More]
Secretly aspire to be a fortune teller to impress your friends? What to build a fun python project? What if you could predict the iPhone price? Yes, even for the latest iPhone 12. #python #project #tutorial You can do this and that too with just 6 simple lines of python code. WHAT IS THE VIDEO ABOUT? • Predict iPhone (especially iPhone 12) price and show off your skills with just 6 lines of Python code Complete Code (give us a star): https://github.com/ProgrammingHero1/predict-iphone-price #python #machine #learning #machinelearning #iphone #iphone12 #apple #pythonhack #funpython #beginners #iphoneprice #iphonefuture Now, if you’re new to the programming world and don’t know what to do, go check out our app and build your own game immediately while learning. Android App: https://bit.ly/AndroidProgHero iPhone Version: https://bit.ly/iOSProgHero CHECK OUT If you hate to study, let’s hear it. Turn your books into audiobooks today: https://bit.ly/FreeAudiobookWithPython ENJOYED THE VIDEO? Save yourself from our Grandma ⁠— she’ll come to your house to steal your old iPhone charger and sell it to Tim Cook if you don’t click on the Like button and also turn the Subscribe button from red to white. If you like and subscribe, she will be ready to make love with you. 😉 OUR SOCIAL MEDIA Watch us on Facebook: https://bit.ly/FBProgHero Peep us on Instagram: https://bit.ly/IGProgHero Fly with us on Twitter: https://bit.ly/TWProgHero Board with us on Pinterest: https://bit.ly/PTProgHero Don’t SHARE this with your friends. They’ll know your secret. We’re always with you. Feel free to mail us anytime you need [More]
In this video, make sure you define the X’s like so. I flipped the last two lines by mistake: X = np.array(df.drop([‘label’],1)) X = preprocessing.scale(X) X_lately = X[-forecast_out:] X = X[:-forecast_out:] To forecast out, we need some data. We decided that we’re forecasting out 10% of the data, thus we will want to, or at least *can* generate forecasts for each of the final 10% of the dataset. So when can we do this? When would we identify that data? We could call it now, but consider the data we’re trying to forecast is not scaled like the training data was. Okay, so then what? Do we just do preprocessing.scale() against the last 10%? The scale method scales based on all of the known data that is fed into it. Ideally, you would scale both the training, testing, AND forecast/predicting data all together. Is this always possible or reasonable? No. If you can do it, you should, however. In our case, right now, we can do it. Our data is small enough and the processing time is low enough, so we’ll preprocess and scale the data all at once. In many cases, you wont be able to do this. Imagine if you were using gigabytes of data to train a classifier. It may take days to train your classifier, you wouldn’t want to be doing this every…single…time you wanted to make a prediction. Thus, you may need to either NOT scale anything, or you may scale the data separately. As [More]
On #JLFBraveNewWorld Toby Walsh, one of the world’s leading researchers in Artificial Intelligence, and Jaspreet Bindra, author of ‘Tech Whisperer’ and the founder of Digital Matters, discuss the future of AI.
References:  Russel, Stuart, Sabine Hauert, Russ Altman, and Manuela Veloso. Robotics: “Ethics of Artificial Intelligence.” Nature, vol. 521, no. 7553, 27 May 2015, pp. 415-418. EBSCOhost, doi:10.1038/521415a. Deng, Boer. Machine Ethics: “The Robot’s Dilemma”. Nature, vol. 523, no. 7558, 02 July 2015, pp. 24-26. EBSCOhost, doi:10.1038/523024a. Grossman, Mark and Toby Walsh. “Unintended Consequences of Trusting AIs.” Communications of the ACM, vol. 59, no. 9, Sept. 2016, p. 8. EBSCOhost, doi:10.1145/2977335. Arruda, Andrew. “An Ethical Obligation to Use Artificial Intelligence? An Examination of the Use of Artificial Intelligence in Law and the Model Rules of Professional Responsibility.” American Journal of Trial Advocacy, vol. 40, no. 3, Jan. 2017, pp. 443-458. EBSCOhost, http://web.b.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=1&sid=63b07458-6f6a-4b45-8b43-a3458c2df076%40sessionmgr103 Holy-Luczaj, Magdalena. “Preface. Current Issues in Ethics”. Studia Humana, vol. 6, no. 3, July 2017, pp. 3-4. EBSCOhost, doi:10.1515/sh-2017-0017. Bundy, Alan. “Preparing for the Future of Artificial Intelligence.” AI & Society, vol. 32, no. 2, May 2017, pp. 285-287. EBSCOhost, doi:10.1007/s00146-016-0685-0. Nunez, Catherine. “Artificial Intelligence and Legal Ethics: Whether AI Lawyers Can Make Ethical Decisions.” Tulane Journal of Technology & Intellectual Property, vol. 20, Fall2017, pp. 189-204. EBSCOhost, login.libproxy.uncg.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=127y131782&site=ehost-live. Metzler, Theodore A., et al. “Could Robots Become Authentic Companions in Nursing Care?” Nursing Philosophy, vol. 17, no. 1, Jan. 2016, pp. 36-48. EBSCOhost, doi:10.1111/nup.12101.
The future of medicine and diagnostics lies in artificial intelligence and machine learning. According to the Future Healthcare Journal, AI will be increasingly applied within the healthcare field, especially for the tasks of diagnosis and treatment recommendations, patient engagement, and administrative activities of the healthcare workforce. What does this mean for the future? Our diverse panel answers some key questions on Be Inspired, Toby Walsh is a Laureate Fellow and Scientia Professor of AI at the University of New South Wales and Data61, and adjunct professor at QUT. He was named by an Australian newspaper as one of the “rock stars” of Australia’s digital revolution. Professor Walsh is a strong advocate for limits to ensure AI is used to improve our lives. He has been a leading voice in the discussion about autonomous weapons (aka “killer robots”), speaking at the UN in New York and Geneva on the topic. He is a Fellow of the Australia Academy of Science. He appears regularly on TV and radio, and has authored two books on AI for a general audience, the most recent entitled “2062: The World that AI Made”. Dr. Tavpritesh Sethi is a physician-scientist and Associate Professor of Computational Biology at Indraprastha Institute of Information Technology Delhi, India and a fellow of the Wellcome Trust/DBT India Alliance at All India Institute of Medical Sciences, New Delhi, India. Dr. Sethi specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence. His research is focused on development [More]