{"id":19674,"date":"2025-06-05T03:00:24","date_gmt":"2025-06-05T03:00:24","guid":{"rendered":"\/?p=19674"},"modified":"2025-06-05T03:11:07","modified_gmt":"2025-06-05T03:11:07","slug":"super-resolution-matters-in-sensors-and-beyond-classical-limits","status":"publish","type":"post","link":"\/?p=19674","title":{"rendered":"Super resolution matters in sensors and “beyond classical limits”"},"content":{"rendered":"
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This is not true. Mostly all instruments and detectors are designed only to find things that classic learning algorithms can understand. There are so many more things beyond that I had to invent larger numbers that make 10^100 look like zero. Tell him to check how sensors and detectors are designed. Critical problem in imaging and signals on the Internet. Go look carefully at all “noise” in real data in all sensors and sensor networks. And the assumptions applied to “take care of it”. <\/span><\/div>\n<\/div>\n<\/div>\n
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He was likely full of himself because he had just won a prize and boasting. There is much algorithms and he can do, but it does not “trickle down” to the human species from his organization, or any other. If you see him, tell him to look at real lossless data and go deeper. He will use “classical methods” (like diffraction limit) and stop orders of magnitude from what is possible. <\/span><\/div>\n<\/div>\n<\/div>\n
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Usually there are many groups on the Internet working on every boundary and roadblock or opportunity. But they cannot find each other and coordinate at low cost, because certain large companies starting with “G” do not go deep enough on anything. And stop at lossy methods on all sharing. These things matter.<\/span><\/div>\n<\/div>\n<\/div>\n
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That is roughly it. I am writing up 27 years of Internet Foundation notes, cases, conclusions and recommendations. I happened to be working on this noise and representation issue today when your post came up.<\/span><\/div>\n<\/div>\n<\/div>\n
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It affects all STEMC (add Computing) and all people who rely on technology and science, sensors and networks. About 5.4 Billion on the Internet but the paths to the rest of the 8.2 Billion humans and related species are accessible now.<\/span><\/div>\n<\/div>\n<\/div>\n
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There are things that “other people know” not in classic groups. And there are nearly infinite things that no human knows, and no AI knows. But they are roughly countable.<\/span><\/div>\n<\/div>\n<\/div>\n
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Sincere regards, <\/span><\/div>\n<\/div>\n<\/div>\n
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Richard Collins, The Internet Foundation<\/span><\/div>\n<\/div>\n<\/div>\n
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Can affordable methods lower costs of innovations so that useful methods and tools can be made to catalyze new industries and sciences? Will it “trickle down” to things that make “lives with dignity and purpose for all humans” possible? Or get blocked in endless academics or fees? <\/span><\/div>\n<\/div>\n<\/div>\n
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Yes, protein expression, and thousand of otter difficult things, can be solved effectively now, but who benefits?<\/span><\/div>\n<\/div>\n<\/div>\n
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Sincere regards, <\/span><\/div>\n<\/div>\n<\/div>\n
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Richard Collins, The Internet Foundation<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

This is not true. Mostly all instruments and detectors are designed only to find things that classic learning algorithms can understand. There are so many more things beyond that I had to invent larger numbers that make 10^100 look like zero. Tell him to check how sensors and detectors are designed. Critical problem in imaging
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