Two Minute Papers explores the project that takes NLP to the next level: GPT-2. It’s almost too good – OpenAI has, accordingly, will not release it.
In this episode of BBC Click, they explore a new art installation in Paris, the Pope weighs in on the ethics of Robotics and AI.
Siraj Raval shares his optimistic vision for AI in the year 2040.
Azure Stream Analytics is a PaaS cloud offering on Microsoft Azure to help customers analyze IoT telemetry data in real-time. Stream Analytics now has embedded ML models for Anomaly Detection, which can be invoked with simple function calls. Learn how you can leverage this powerful feature set for your scenarios.
Learn more : https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection
Create a Free Account (Azure): https://aka.ms/aft-iot
Here’s a great book review for a new O’Reilly title, “Hands-On Unsupervised Learning Using Python.” Looks like I will need to add another book to my 2019 reading list. The good news is that, today, I completed book 17 for 2019.
While I wait for my copy to arrive, you can read this review:
With a subtitle of “How to Build Applied Machine Learning Solutions from Unlabeled Data”, this book shows how unsupervised learning can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel provides […]
In my previous post, I talked about Jetson Nano being the AI dream machine that Makers have been waiting for, but will it replace the noble Raspberry Pi?
It’s an exciting time for small factor computing. As if the Raspberry Pi wasn’t enough of an all purpose machine, more powerful boards capable of incredible feats keep appearing. The Jetson Nano from Nvidia is a recent addition to the ranks of super powerful machine learning enabled boards. What […]
If you’re in the Maker community and have been wanting to get into AI, the release of the Jetson Nano may be just the device you’ve been waiting for.
Here’s a great introduction to the world of AI for Makers.
For Humans identification of any object by just seeing towards it done within few second, it’s really easy for them, but when we concern about the machine to identify the object, it is the really complex thing until Hinton and Alex Krizhevsky won the champion of ImageNet in 2012. Then Neural Network dominated Vision field, especially the problem of classification and segmentation, and the convolutional neural network is one of the most prominent approaches who won numerous competitions in recent years. It has outstanding results in image recognition. Nvidia has built a lot of Vision Demo for Jetson Nano, and we have tested two of them as classification and face detection: