3 Steps to Improve Artificial Intelligence in Healthcare
Author(s): Avishek Choudhury Artificial Intelligence, Research Optimal Trust, Data Governance, and AI Standards can solve many problems concerning AI in healthcare. Photo by Owen Beard on Unsplash Accuracy, precision, recall and other measures of AI efficacy are crucial but not sufficient. Will you …
6G And Its Implications For AI
Author(s): Frederik Bussler Exploring Samsung’s 6G white paper. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Arithmetic Mean and Its Applications in Data Analytics
Author(s): Mahbubul Alam From averaging monthly expenses to machine learning algorithms — wide-spread use cases of arithmetic mean. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Chest X-Ray Abnormality Classification Using Monk AI
Author(s): Kushagra Awasthi Making computer vision easy with Monk, low code Deep Learning tool and a unified wrapper for Computer Vision. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Demystifying Principal Component Analysis
Author(s): Abhijit Roy Photo by Antoine Dautry on Unsplash Data Science Data visualization has always been an essential part of any machine learning operation. It helps to get a very clear intuition about the distribution of data, which in turn helps us to …
State of AI in 2020: Where the Industry is Evolving
Author(s): Michelangiolo Mazzeschi AI is one of the most rapid industry to be subject to changes. After having gained enough experience in the sector, I have been writing a… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Understanding Artificial Intelligence
Author(s): Lawrence Alaso Krukrubo A few minutes exploring AI… Artificial Intelligence (AI) is such a buzz word these days and one thing about buzz words is… ‘They often get lost in translation’. img_credit Ask any Data Scientist (including yours truly) about AI, …
Over The Rainbow
Author(s): Abby Seneor What are the differences between equality, equity and justice? A dive into human biases and the dark side of Artificial Intelligence. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Using Tesseract-OCR for Text Recognition with Google Colab
Author(s): Michelangiolo Mazzeschi Installing Tesseract on Google Colab and trying it out Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Enterprise Apps adopt AI in the Golden Age of AI
Author(s): David Yakobovitch 5G Mega Trends and the rise of AI Applications Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Software Testers May Soon be Replaced by AI Programs
Author(s): Ikshura Tachintha The future of AI-based software testing appears to be promising Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How Hospitals are using Responsible AI to battle COVID-I9
Author(s): David Yakobovitch Testing AI Accuracy, Building an AI Pilot Program and AI-led operations (AIOps) Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Helping Democratize AI, A Call to Action
Author(s): Stuart Kasemeier Artificial Intelligence A call to action to help democratize AI. To participate please visit Surveyhero Source: Google Images Companies across the globe are increasingly adopting Artificial Intelligence (AI). In Gartner’s AI-adoption-in-the-enterprise-2020-report, only 15% of surveyed respondents have stated to neither …
The AI Disruption is Starting Already
Author(s): Michelangiolo Mazzeschi AI disruption HAS ALREADY BEGUN. Look at tools such as autoML or Lobe. They will soon eat out the demand for ML engineers at the lower end… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Debunking the Myths about Artificial Intelligence
Author(s): Dr. Murat Açar Artificial Intelligence, Opinion 1. “Artificial intelligence is a fad/hype/buzzword.” First, the elephant in the room rises, and there is no room to pretend not to see it. About the organizations and people thinking about artificial intelligence (AI) as …
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