Fairly incredible low-light image improvements thanks to adding raw camera data to image
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There are interesting and exciting opportunities for how AI/Machine Learning can help Indigenous people protect their homes
This is not anything unusual or unbelievable, but it is an interesting confluence of technology and those people who most care about protecting their corner of the environment. One example in the article:
One of the first AI-based Indigenous conservation projects, undertaken by Cornell University, was co-developed with the Coral Gardeners, from Mo’orea, French Polynesia. Founded in 2017, this Indigenous group cultivates heat-resistant super corals and transplants them onto damaged parts of the reef. Cornell provides the software to track the sounds of the many organisms making their home here and, working also with the University of Hawaii, integrates them into a recording platform, ReefOS, a network of sensors and cameras collecting visual and acoustic data 24 hours a day. The AI-mediated soundscape tells the on-site respondents whether the reefs are starting to sound like healthy and stable reef systems, or whether additional restoration efforts are needed.
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Has anyone had AI "watch" movies and then analyze movie synopses and/or movie revews, and then have it do its own synopses and review of movies it has not been trained for? Would be fascinating to see how it did.
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Dall-E Less a Threat for Artists than for Stock Photos
A blog post that talks about the process of using Dall-E pictures for the thumbnails on the company blog. The work that goes into getting good pictures, thoughts, tips, etc. But also, as one of the final bullet points highlights, this isn't threatening to replace artists as much as it is right now just replacing stock images.
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Neural Voice Camouflage
A new technology, called Neural Voice Camouflage, now offers a defense. It generates custom audio noise in the background as you talk, confusing the artificial intelligence (AI) that transcribes our recorded voices.
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"Sony’s racing AI destroyed its human competitors by being nice (and fast)"
But Sony soon learned that speed alone wasn’t enough to make GT Sophy a winner. The program outpaced all human drivers on an empty track, setting superhuman lap times on three different virtual courses. Yet when Sony tested GT Sophy in a race against multiple human drivers, where intelligence as well as speed is needed, GT Sophy lost. The program was at times too aggressive, racking up penalties for reckless driving, and at other times too timid, giving way when it didn’t need to.
Sony regrouped, retrained its AI, and set up a rematch in October. This time GT Sophy won with ease. What made the difference? It’s true that Sony came back with a larger neural network, giving its program more capabilities to draw from on the fly. But ultimately, the difference came down to giving GT Sophy something that Peter Wurman, head of Sony AI America, calls “etiquette”: the ability to balance its aggression and timidity, picking the most appropriate behavior for the situation at hand.
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How Normal Am I?
A very educating look at the technologies being used for looking at people and how machines can judge various aspects of who we are, as well as pitfalls of this.
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Mozilla releases local machine translation
This is very exciting. Up to now these sorts of things rely on the megabrain systems of Google, Microsoft and others. Centralized so every translation had to be sent to the server (unless you use their app and download the info for your phone while traveling, but even then your translations are not kept private.) This extension opens the door for some more privacy when seeking translations.
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AI Attempts Converting Python Code To C
This is an interesting idea. Just last week, when I was exploring Markdown stuff in preparation of working on the conversion for the blog, I came across a fantastic Markdown library from Stripe written for Nodejs. And I was bemoaning I didn't have access to it. A future where we have AI systems to do porting between platforms or systems is an exciting future.
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The Day I Became Friends with a Robot by Tristrum Tuttle
A story written by AI and illustrated by AI.
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This "amateur" programmer fought cancer with 50 Nvidia Geforce 1080Ti
An interesting look at how an amateur built a free website which allowed uploads of mammograms and applied machine learning AI to detect early signs of breast cancer.
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Nvidia's insane AI painting tool
This is some truly amazing stuff. Nvidia's Canvas app lets you do a simple drawing and then they render it as a fully realized landscape thanks to AI/machine learning.
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Lego AI Sorter - 2 years in the making
Very fun and neat project! Legos truly are amazing.
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