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On The Bike Shed, hosts Joël Quenneville and Stephanie Minn discuss development experiences and challenges at thoughtbot with Ruby, Rails, JavaScript, and whatever else is drawing their attention, admiration, or ire this week.
Discover a whole new take on Artificial Intelligence with Squirro's educational podcast! Join host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and their incredible impact on society, and y ...
Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Marc Fennell and a team of people far smarter than him (his words, not ours) take a fun deep dive into how technology is reshaping our lives.
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Artificial intelligence is already stealing many of our jobs, but not the ones you might think of.
Chapter Index
00:00 | Intro
00:25 | Chapter Begins
05:47 | 1.1 Smarter, Better, Faster, Stronger
08:05 | 1.2 It’s All About the Algorithms
12:48 | Outro
Figures
Figure 1.1: Front page of Google Images. You can see the camera icon on the right of the bar, click that and you can upload your image.Figure 1.2: I upload my image, named “guess-what-this.is.jpg”Figure 1.3: The software correctly recognises it as the Robot ASIMO by Honda, and offers similar images in return. Notice that the proposed images show ASIMO in different positions and angles, not the same image in different sizes. This algorithm recognises millions of different patterns, as it is a general-purpose application. A task-specific pattern recognition software is less complex to develop, although it must be much more accurate as the stakes are higher.
References
The example is taken from The Lights in the Tunnel: Automation, Accelerating Technology and the Economy of the Future, Martin Ford, 2009. CreateSpace. pp.64-67.
“In reality, there is another factor that might slow the adoption of full automation in Radiology: that is malpractice liability. Because the result of a mistake or oversight in reading a medical scan would likely be dire for the patient, the maker of a completely automated system would assume huge potential liability in the event of errors. This liability, of course, also exists for radiologists, but it is distributed across thousands of doctors. However, it is certainly possible that legislation and/or court decisions will largely remove this barrier in the future. For example, in February 2008, the U.S. Supreme Court ruled in an 8-1 decision that, in certain cases, medical device manufacturers are protected from product liability cases as long as the FDA has approved the device. In general, we can expect that non-technological factors such as product liability or the power of organised labor will slow automation in certain fields, but the overall trend will remain relentless” from: The Lights in the Tunnel: Automation, Accelerating Technology and the Economy of the Future, Martin Ford, 2009. CreateSpace. p.67.
Comparing machines and humans on a visual categorization test, François Fleuret, Ting Li, Charles Dubout, Emma K. Wampler, Steven Yantis, and Donald Geman, 2011. Proceedings of the National Academy of Sciences. http://www.pnas.org/content/early/2011/10/11/1109168108.full.pdf
The Singularity Is Near: When Humans Transcend Biology, Kurzweil, 2005. Penguin Books.
Content provided by The Nexus TV. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Nexus TV or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Artificial intelligence is already stealing many of our jobs, but not the ones you might think of.
Chapter Index
00:00 | Intro
00:25 | Chapter Begins
05:47 | 1.1 Smarter, Better, Faster, Stronger
08:05 | 1.2 It’s All About the Algorithms
12:48 | Outro
Figures
Figure 1.1: Front page of Google Images. You can see the camera icon on the right of the bar, click that and you can upload your image.Figure 1.2: I upload my image, named “guess-what-this.is.jpg”Figure 1.3: The software correctly recognises it as the Robot ASIMO by Honda, and offers similar images in return. Notice that the proposed images show ASIMO in different positions and angles, not the same image in different sizes. This algorithm recognises millions of different patterns, as it is a general-purpose application. A task-specific pattern recognition software is less complex to develop, although it must be much more accurate as the stakes are higher.
References
The example is taken from The Lights in the Tunnel: Automation, Accelerating Technology and the Economy of the Future, Martin Ford, 2009. CreateSpace. pp.64-67.
“In reality, there is another factor that might slow the adoption of full automation in Radiology: that is malpractice liability. Because the result of a mistake or oversight in reading a medical scan would likely be dire for the patient, the maker of a completely automated system would assume huge potential liability in the event of errors. This liability, of course, also exists for radiologists, but it is distributed across thousands of doctors. However, it is certainly possible that legislation and/or court decisions will largely remove this barrier in the future. For example, in February 2008, the U.S. Supreme Court ruled in an 8-1 decision that, in certain cases, medical device manufacturers are protected from product liability cases as long as the FDA has approved the device. In general, we can expect that non-technological factors such as product liability or the power of organised labor will slow automation in certain fields, but the overall trend will remain relentless” from: The Lights in the Tunnel: Automation, Accelerating Technology and the Economy of the Future, Martin Ford, 2009. CreateSpace. p.67.
Comparing machines and humans on a visual categorization test, François Fleuret, Ting Li, Charles Dubout, Emma K. Wampler, Steven Yantis, and Donald Geman, 2011. Proceedings of the National Academy of Sciences. http://www.pnas.org/content/early/2011/10/11/1109168108.full.pdf
The Singularity Is Near: When Humans Transcend Biology, Kurzweil, 2005. Penguin Books.
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On The Bike Shed, hosts Joël Quenneville and Stephanie Minn discuss development experiences and challenges at thoughtbot with Ruby, Rails, JavaScript, and whatever else is drawing their attention, admiration, or ire this week.
Discover a whole new take on Artificial Intelligence with Squirro's educational podcast! Join host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and their incredible impact on society, and y ...
Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Marc Fennell and a team of people far smarter than him (his words, not ours) take a fun deep dive into how technology is reshaping our lives.
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