AI X Real World

Join us for a live virtual event on June 9 where speakers from Omdena will be giving us a walkthrough of AI case studies in real life. This event is co-hosted by DeepLearning.AI and Omdena.

To participate in Q&A and post questions for speakers, go to https://app.sli.do/event/ujx9nf9u

Case Study 1: AI for Energy: Transitioning Toward a Sustainable Energy System
Presented by: Mahzad Khoshlessan, Product Owner/Project Manager, Omdena
Talking Points:
-Data Gathering
-Challenges faced in the project
-How the problem was approached and tackled
-Various ML techniques tested with their results

Case Study 2: Understanding the Causes and Effects of Student Debt through Machine Learning
Presented by: Galina Naydenova, Lead Machine Learning Engineer, Omdena
Student loan planning app: http://omdenashapingedutest.herokuapp.com/
Talking Points:
-Use of data from government/official sources
-The diversity of output
-Building a storyline that brings the datapoints together
-Going beyond the analysis by proposing actions on different levels

#ai #artificial-intelligence #developer

What is GEEK

Buddha Community

Making Sales More Efficient: Lead Qualification Using AI

If you were to ask any organization today, you would learn that they are all becoming reliant on Artificial Intelligence Solutions and using AI to digitally transform in order to bring their organizations into the new age. AI is no longer a new concept, instead, with the technological advancements that are being made in the realm of AI, it has become a much-needed business facet.

AI has become easier to use and implement than ever before, and every business is applying AI solutions to their processes. Organizations have begun to base their digital transformation strategies around AI and the way in which they conduct their business. One of these business processes that AI has helped transform is lead qualifications.

#ai-solutions-development #artificial-intelligence #future-of-artificial-intellige #ai #ai-applications #ai-trends #future-of-ai #ai-revolution

AI in Real Estate: Helping Agents Drive Sales

is a technophile, writer, blogger and journalist with 14 years of experience in news media.

Using AI tools in real estate can help agents make more accurate predictions and drive sales. Real estate is an industry filled with high stakes and high rewards. It is an industry where predicting outcomes is extremely valuable. A quick overview of the industry shows us that real estate agents play a major role in the sale of property in the United States.

“When we look at the Real Estate Industry in the United States we find that 89% of the purchases are made through real estate agents,” says Sofiya Vyshnevska, co-founder of PropertyMate, an AI platform helping real estate developers and agents alike and one of the most accomplished female entrepreneur in the Ukrainian startup community.

As a highly-regarded business development expert and entrepreneur, Vyshnevska shares some insights on how AI-platforms have disrupted traditional methods of real estate sectors.

#artificial-intelligence #real-estate #ai-applications #real-estate-technology #ai #machine-learning #data-science #ai-tools

This Week in AI | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai

This Week in AI - Issue #22 | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.Have fun!

Research Papers

• Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
• Slowing Down the Weight Norm Increase in Momentum-based Optimizers
• The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps
• AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
• Coherent Reconstruction of Multiple Humans from a Single Image
• Variational Bayesian Monte Carlo with Noisy Likelihoods
• GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
• Are we done with ImageNet?
• How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds
• Background Modeling via Uncertainty Estimation for Weakly-supervised Action Localization
• The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps
• Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
• Learning a Unified Sample Weighting Network for Object Detection

Articles

• Deepfake Detection Challenge Results: An open initiative to advance AI
• Slightly Unnerving AI Produces Human Faces Out of Totally Pixelated Photos
• NeoML Released as TensorFlow Alternative
• Google Meet takes on Zoom with AI-powered noise cancellation
• Open Compound Domain Adaptation
• Dense pose for animal classes with transfer learning
• 10 Ways Enterprises Are Getting Results From AI Strategies
• An understanding of AI’s limitations is starting to sink in
• Why we switched from Flask to FastAPI for production machine learning
• Simple Transformers
• The key differences between rule-based AI and machine learning
• Deep learning-based surrogate models outperform simulators and could hasten scientific discoveries
• HANDS-ON GUIDE TO OBJECT DETECTION USING YOLO
• Artificial neural networks that mimic the flexibility and computing power of the brain
• MIT researchers train AI to predict how humans paint works of art
• What Do Machine Learning Engineers Do Anyway?
• AI Is Amazing But Complicated, And We Don’t Necessarily Need To Plunge In Headfirst
• Deep learning networks track up to 100 animals simultaneously
• Is artificial intelligence changing art?

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai

Amsterdam And Helsinki Launch Open AI Registers

Amsterdam and Helsinki both launched an Open AI Register at the Next Generation Internet Summit. According to sources, these two cities are the first in the world that are aiming to be open and transparent about the use of algorithms and AI in the cities.

Currently, in the beta version, Algorithm Register is an overview of the artificial intelligence systems and algorithms used by the City of Amsterdam. The register is an effort to show where the cities are currently making use of AI and how the algorithms work.

Jan Vapaavuori, Mayor of Helsinki stated, “Helsinki aims to be the city in the world that best capitalises on digitalisation. Digitalisation is strongly associated with the utilisation of artificial intelligence. With the help of artificial intelligence, we can give people in the city better services available anywhere and at any time. In the front rank with the City of Amsterdam, we are proud to tell everyone openly what we use Artificial Intelligence for.”

#news #ai register #amsterdam ai #helsinki ai #open ai register #ai