Monthly Archives: March 2022

Unknown's avatar Rick's Cafe AI 9:45 am on March 25, 2022
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‘No-Code’ Brings the Power of A.I. to the Masses

A growing number of new products allow anyone to apply artificial intelligence without having to write a line of computer code. Proponents believe the “no-code” movement will change the world.


This article is part of a new series on how artificial intelligence has the potential to solve everyday problems.

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Tools such as Teachable Machine from Google and Lobe from Microsoft, in addition to natural language low-code options, like those from OpenAI and DeepMind , are making applications development increasingly accessible.

#devops

Unknown's avatar Rick's Cafe AI 9:28 am on March 25, 2022
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LandingLens for Machine Vision

The LandingLens platform includes a wide array of features to help teams develop and deploy reliable and repeatable inspection systems utilizing deep learning technology for a wide range of tasks in a production environment. We describe this software tool as a composition of three modules: Data, Model, and Deployment. With a data-centric approach throughout, LandingLens manages data, accelerates troubleshooting, and scales to deployment. Read More

Paper

#mlops
Unknown's avatar Rick's Cafe AI 8:01 pm on March 24, 2022
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Impressive photo restoration by AI !

This new and completely free AI model can fix most of your old pictures in a split second!

Do you also have old pictures of yourself or close ones that didn’t age well or that you, or your parents, took before we could produce high-quality images? I do, and I felt like those memories were damaged forever. Boy, was I wrong!

This new and completely free AI model can fix most of your old pictures in a split second. It works well even with very low or high-quality inputs, which is typically quite the challenge.

This week’s paper called Towards Real-World Blind Face Restoration with Generative Facial Prior tackles the photo restoration task with outstanding results. What’s even cooler is that you can try it yourself and in your preferred way. They have open-sourced their code, created a demo and online applications for you to try right now. If the results you’ve seen above aren’t convincing enough, just watch the video and let me know what you think in the comments, I know it will blow your mind! Read More

#gans, #image-recognition
Unknown's avatar Rick's Cafe AI 7:39 pm on March 23, 2022
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OpenAI’s Chief Scientist Claimed AI May Be Conscious — and Kicked Off a Furious Debate

A month ago, Ilya Sutskever tweeted that large neural networks may be “slightly conscious.” He’s one of the co-founders and Chief Scientist of OpenAI, and also co-authored the landmark paper that sparked the deep learning revolution. Having such titles under his name, he certainly knew his bold claim — accompanied by neither evidence nor an explanation — would attract the attention of the AI community, cognitive scientists, and philosophy lovers alike. In a matter of days, the Tweet got more than 400 responses and twice that number of retweets.

People in AI’s vanguard circles like to ponder about the future of AI: When will we achieve artificial general intelligence (AGI)? What are the capabilities and limitations of large transformer-based systems like GPT-3 and super-human reinforcement learning models like AlphaZero? When — if ever — will AI develop consciousness? Read More

#human
Unknown's avatar Rick's Cafe AI 10:23 am on March 23, 2022
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The Metaverse Isn’t a Destination. It’s a Metaphor

Is this the hype peak of the metaverse? Or are we seeing something emerge that’s been evolving for a long time?

It was about as meta as it gets. After donning VR headsets, Stanford University Professor Jeremy Bailenson and I “stood” in front of his students in a virtual classroom, our avatars watching theirs discuss the nature of virtual existence. Except his students weren’t “there.” The discussion was a recording. The professor and I stood as living avatars among ghosts.

Bailenson, who founded Stanford’s Virtual Human Interaction Lab, then paused the recording and walked through the class. His avatar gliding, he explained how these playbacks will produce insights into what social life will mean in the “metaverse.” Of course, he doesn’t know what he’ll discover, just like the many companies that are now busily touting this much hyped but as-yet-unformed next evolution of the internet. Read More

#metaverse

Unknown's avatar Rick's Cafe AI 10:14 am on March 23, 2022
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Deep Learning on Electronic Medical Records is doomed to fail

A few years ago, I worked on a project to investigate the potential of machine learning to transform healthcare through modeling electronic medical records. I walked away deeply disillusioned with the whole field and I really don’t think that the field needs machine learning right now. What it does need is plenty of IT support. But even that’s not enough. Here are some of the structural reasons why I don’t think deep learning models on EMRs are going to be useful any time soon.

  • Data is fragmented
  • Data is Workflow, Workflow is Data. (with apologies to Lisp)
  • Data reflects an adversarial process
  • Data encodes clinical expertise
  • Causal inference is hard
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#deep-learning
Unknown's avatar Rick's Cafe AI 9:37 am on March 22, 2022
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AI Risk Management Framework: Initial Draft

This initial draft of the Artificial Intelligence Risk Management Framework (AI RMF, or Framework) builds on the concept paper released in December 2021 and incorporates the feedback received. The AI RMF is intended for voluntary use in addressing risks in the design, development, use, and evaluation of AI products, services, and systems.

AI research and deployment is evolving rapidly. For that reason, the AI RMF and its companion documents will evolve over time. When AI RMF 1.0 is issued in January 2023, NIST, working with stakeholders, intends to have built out the remaining sections to reflect new knowledge, awareness, and practices.

Part I of the AI RMF sets the stage for why the AI RMF is important and explains its intended use and audience. Part II includes the AI RMF Core and Profiles. Part III includes a companion Practice Guide to assist in adopting the AI RMF.

That Practice Guide which will be released for comment includes additional examples and practices that can assist in using the AI RMF. The Guide will be part of a NIST AI Resource Center that is being established. Read More

#adversarial, #nist

Unknown's avatar Rick's Cafe AI 9:30 am on March 22, 2022
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Google: Machine Or AI Generated Content Still Not High Quality

For the past several years, Google has been saying that when machine generated or AI generated content becomes high quality, it might be something that Google allows within its search webmaster guidelines. Well, in 2022, that day is still not here – yet.

In the past few days, Google’s John Mueller made some comments on machine or AI generated content basically knocking on the quality level of such content.

On Reddit he said this morning “nope” when asked “Are AI content writers good for creating blog posts or product review posts?” And on Twitter yesterday he said “as far as I can tell, most sites have trouble creating higher-quality content, they don’t need help creating low-quality content” when asked about using AI-based content creation tools to generate content.  Read More

#nlp
Unknown's avatar Rick's Cafe AI 4:56 pm on March 21, 2022
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Deep Neural Nets: 33 years ago and 33 years from now

The Yann LeCun et al. (1989) paper Backpropagation Applied to Handwritten Zip Code Recognition is I believe of some historical significance because it is, to my knowledge, the earliest real-world application of a neural net trained end-to-end with backpropagation. Except for the tiny dataset (7291 16×16 grayscale images of digits) and the tiny neural network used (only 1,000 neurons), this paper reads remarkably modern today, 33 years later – it lays out a dataset, describes the neural net architecture, loss function, optimization, and reports the experimental classification error rates over training and test sets. It’s all very recognizable and type checks as a modern deep learning paper, except it is from 33 years ago. So I set out to reproduce the paper 1) for fun, but 2) to use the exercise as a case study on the nature of progress in deep learning. Read More

#deep-learning

Unknown's avatar Rick's Cafe AI 3:45 pm on March 19, 2022
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What is Relational Machine Learning?

All intelligent life forms instinctively model their surrounding environment in order to actively navigate through it with their actions. In Artificial Intelligence (AI) research, we then try to understand and automate this interesting ability of living systems with machine learning (ML) at the core.

  • Generally speaking, deriving mathematical models of complex systems is at the core of any scientific discipline. Researchers have always tried to come up with equations governing the behavior of their systems of interest, ranging from physics and biology to economics.
Machine learning then instantiates the scientific method of searching for a mathematical hypothesis (model) that best fits the observed data. However, thanks to the advances in computing, it allows to further automate this process into searching through large prefabricated hypothesis spaces in a heavily data-driven fashion. This is particularly useful in the modeling of complex systems for which the structure of the underlying hypothesis space is too complex, or even unknown, but large amounts of data are available. Read More #machine-learning