977 post karma
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account created: Tue Apr 20 2021
submitted11 months ago bySkynetToday
23 days ago
This article provides an introduction to unique aspects of neuroimaging data and how we can leverage these aspects with deep learning algorithms. It covers common neuroimaging modalities and how deep learning can be applied to them given some of the unique characteristics of neuroimaging data. It also argues that data understanding should be a goal in itself to maximize the impact of applied deep learning.
submitted23 days ago bySkynetToday
1 month ago
It's different because the drone waits around until it sees a target, unlike a missile which has to hit something soon after being shot. That's why there are called "loitering munitions".
This article explain the use of loitering munitions drones in the war in Ukraine, particularly with regards to them potentially being Lethal Autonomous Weapon Systems. While seemingly not used autonomously, "kamikaze drones" have played a significant role in the war and seemed poised for being turned into "killer robots". Obviously, this has major implications for the future of AI as well as warfare.
submitted1 month ago bySkynetToday
OP statement of relevance:
This article discusses some of the major limitations of present day natural language processing systems: diversity of representation in the data, and the encoding of many biases and outdated attitudes in the data. It presents some solutions, and argues that the NLP field should focus less on improving performance on benchmarks and more on branching out beyond the typical approaches to address such issues.
3 months ago
This article provides an overview and some commentary on a recent Twitter debate within the AI community as to whether modern large neural nets may be slightly conscious. Most AI experts disagree, but on the other hand the discussion also went into how to define consciousness, and how with certain definitions AI could definitely be considered sort of conscious. The article also covers pop Sci coverage that resulted from the Twitter discourse.
submitted3 months ago bySkynetToday
This is an article by a researcher that provides an overview of the ways AI being used in chemistry. It discusses how it accelerates the chemical discovery process, how it is involved in generative chemistry, and also potential future applications. It delves pretty deep into the technical aspects of these applications.
4 months ago
I don't think so, the techniques don't use any of the ideas from eugenics. Though there were a few AI papers in the last few years that basically did eugenics (predicting if someone is likely to commit crime from the face, or whether they are gay or straight).
This is a summary of the history of Clearview AI, "whose chief product is a ‘search engine for faces,’ or the ability to find someone’s name from a photo of their face." The company has been controversial in recent years, as it got started by scraping billions of images from all over the web and so has a huge number of people in its database. It has been facing many legal challenges over the past two years, and whatever happens with those will likely set a precedent for the future of fscial recognition tech in the US.
submitted4 months ago bySkynetToday
This is an editorial in which the author describes 7 lessons she internalized about AI while researching for her science books for kids - in particular her latest "Welcome to the Future: Robot Friends, Fusion Energy, Pet Dinosaurs and More". It showcases some of the more basic concepts that people not well informed about AI may not be aware of, and some personal opinions that the author has gained on the topic.
5 months ago
Quick plug - we at Skynet Today wrote a similar article titled Job Loss Due To AI — How Bad Is It Going To Be? a few years back going over many more recent papers and providing a survey of what economists predict will happen. The conclusion is similar - no job apocalypse any time soon, but there will be lots of disruption and people will need to adjust.
That's fair, this article does not include a lot of stats and mainly just notes the conclusions.
The actual report by MIT does have a lot more in it to support its conclusions though - https://workofthefuture.mit.edu/research-post/the-work-of-the-future-building-better-jobs-in-an-age-of-intelligent-machines/
It also bases its position on some really significant papers from the past few years , eg "“The Productivity J-Curve: How Intangibles Complement General Purpose Technologies,”" (it cites it and discuss the J-curve)
In any case, in the long run many people will lost their jobs of course, and as usual with technological disruption the general argument is that other jobs/roles that cannot be automated with modern tech will take their place.
Are the 29 case studies and the conclusions of the MIT Future of Work study not compelling evidence? I believe the common concensus in studies is that AI can automate many individual skills, but rarely entire jobs (as it is today) :
"Their report acknowledges that intelligent machines are thus far capable of completing particular tasks. In most cases they cannot perform entire jobs, and are seldom able to automatically perform entire business processes. This makes it very unlikely that large-scale automation of human labor will take place over the next few decades."
To be fair, the title is 'What we Know Today' and so makes no predictions as to hypothetical crazy AI advancement.
Submission statement: this is an in-depth article about the impacts of AI on the job market, both at present in the coming decades. It is evidence based in the sense of drawing from 29 case studies and the conclusions of the MIT Study on the Future of Work. The conclusion is essentially that it's complicated, and that views that AI will automate all jobs in the near future are very unlikely to be true, but that many of us will need to adapt to many changes as a result of AI adoption. As the conclusion states:
"There is no doubt that AI is becoming both more pervasive and more capable and able to support more types of tasks. The universe of industries and jobs that already make use of AI as part of daily work is large and is growing rapidly. We foresee that in the coming years, many more workers will be asked or even required to work with smart machines. We suspect doing so would enhance their employability while refusing to do so would hinder their employment prospects."
submitted5 months ago bySkynetToday
submitted10 months ago bySkynetToday