Two Minute Papers highlights the paper, “TossingBot: Learning to Throw Arbitrary Objects with Residual Physics.”
Art has always reflected the zeitgeist of the times. AI is proving to be no exception. Here’s an interesting look at Holly Herndon’s recent work in this space.
Like so much art these days, Herndon’s work is a reflection of the times. Its nuanced synthesis of electronic manipulation and pop songcraft — including choral vocals from an international ensemble, digitized voice renderings from an AI baby she’s raising named Spawn, and her own voice that’s enhanced with vocoder — feels like a move to shift genre and conversation. To that end, PROTO‘s thoughtful, futuristic concept is very much in the vein of game-changing albums like Kanye West’s Yeezus.
The world is moving faster. More content. More things to learn. The best way to make the most of this information age is to learn how to learn. In this video, AI genius and modern-day renaissance man, Siraj Raval reveals 10 learning techniques that I personally use to educate himself on complex topics in Science, engineering, technology, and mathematics.
Machines can help doctors by spotting abnormalities in X-rays or MRA scans that the physicians themselves may have missed. AI can also help physicians by analyzing data and, through the use of algorithms, produce possible diagnoses.
The hope is that this freed up time, as doctors make their rounds, can help physicians establish better connections with their patients, which in turn can lead to better treatment plans.
Here’s an interesting video from Two Minute Papers on OpenAI Five’s recent victory.
As always, BBC Click has a great show on the rise of machines (and more).
Here’s an interesting look at what could be the next frontier of machine learning.
What is Meta-Learning? In traditional Machine Learning domains, we usually take a huge dataset which is specific to a particular task and wish to train a model for regression/classification purposes using this dataset. That’s radically far from how humans take advantage of their past experiences to learn very quickly […]
Watch Siraj Raval build tool for teachers that automatically grades and validates essays using modified versions of popular language models, specifically BERT and GPT-2.
From the description:
It’s called EssayBrain and I built it using the Python programming language, as well Flask, Tensorflow.js, Tensorflow, D3.js, CopyLeaks, Stripe, and Firebase. In this video tutorial, i’ll guide you through my process as I build this project. The code is open source and I’ll link to it below. Use it as inspiration to start your own profitable business in this space. We’ve got to upgrade education, and with the power of technology anyone anywhere can create a viable engineering solution that creates a positive impact. Enjoy!
In this video, learn how to apply AI to understand your business documents by deploying a cognitive search solution on your data, including customer testimonies and demos.
Cognitive search allows you to apply AI (Cognitive Skills) to your data to extract entities and relationships from your unstructured documents, turning them into your private knowledge store. The video also introduces the new Knowledge Store that is now part of Cognitive Search, and explore new features and capabilities (complex type, storage-optimized SKU, etc.).
In light of recent blog posts about the use of facial recognition being used by law enforcement, this podcast episode from Cognalytica seems timely and relevant.
Press the play button below to listen here or visit the show page.
Law enforcement is increasing seeing benefits from AI technologies including scanning video footage for anomalies, augmenting capabilities around surveillance and crowd control, transcribing audio, facial recognition technologies, and helping detect counterfeit items. Through AI, law enforcement agencies are enabled to do more than they ever could before to keep the peace, catch and identify and prevent threats before they occur, and speed up the time it takes to catch criminals and solve crimes.