Archive for the ‘robotics/AI’ category: Page 1126
Feb 14, 2021
Grumman’s LongShot drone can search & destroy
Posted by Raphael Ramos in categories: drones, military, robotics/AI
Instead of firing missiles, planes may carry and launch unmanned drones that will be able to shoot their own missiles to search and destroy targets.
Aerospace giant Northrop Grumman is wasting no time in this competition.
Just two days after DARPA named it as one of three competitors for the LongShot contract, the company released an image of its concept for an air-launched unmanned aircraft system (UAS), Aviation Week reported.
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Feb 14, 2021
How Solar Sails Are Remaking Space Exploration
Posted by Derick Lee in categories: business, robotics/AI, space
Using the pressure of the sun’s rays to propel spacecraft, solar sails will allow future unmanned missions to be longer and cheaper while reaching the outer solar system—and possibly beyond.
#Moonshot #Space #BloombergQuicktake.
Continue reading “How Solar Sails Are Remaking Space Exploration” »
Feb 14, 2021
New AI ‘Ramanujan Machine’ uncovers hidden patterns in numbers
Posted by Quinn Sena in categories: mathematics, robotics/AI
A new artificially intelligent ‘Ramanujan Machine’ can generate hundreds of new mathematical conjectures, which might lead to new math proofs and theorems.
Feb 14, 2021
The Doctor Will Sniff You Now
Posted by Jose Ruben Rodriguez Fuentes in categories: biotech/medical, health, robotics/AI
It’s 2050 and you’re due for your monthly physical exam. Times have changed, so you no longer have to endure an orifices check, a needle in your vein, and a week of waiting for your blood test results. Instead, the nurse welcomes you with, “The doctor will sniff you now,” and takes you into an airtight chamber wired up to a massive computer. As you rest, the volatile molecules you exhale or emit from your body and skin slowly drift into the complex artificial intelligence apparatus, colloquially known as Deep Nose. Behind the scene, Deep Nose’s massive electronic brain starts crunching through the molecules, comparing them to its enormous olfactory database. Once it’s got a noseful, the AI matches your odors to the medical conditions that cause them and generates a printout of your health. Your human doctor goes over the results with you and plans your treatment or adjusts your meds.
Feb 14, 2021
AI progress depends on us using less data, not more
Posted by Genevieve Klien in category: robotics/AI
Compute costs, spurious noise, and privacy problems all mean that we can’t keep moving toward bigger and bigger datasets to fuel AI progress.
Feb 13, 2021
New machine learning theory raises questions about nature of science
Posted by Saúl Morales Rodriguéz in categories: information science, robotics/AI, science, space
A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels fusion facilities designed to harvest on Earth the fusion energy that powers the sun and stars.
Feb 13, 2021
David Sinclair and Bracken Darrell take the stage on aging and life extension (Feb 2021)
Posted by Andrés Grases in categories: business, information science, life extension, robotics/AI
Excellent hand and hand conversation between David Sinclair and Bracken Darrell. David is an expert in longevity and life extension, and Bracken is an experienced successful businessman, CEO of multinational Logitech.
The encounter took place on February 92021, during an online scientific symposium organized by the American Federation of Aging Research (AFAR).
Feb 12, 2021
AI Can Now Learn to Manipulate Human Behavior
Posted by Kelvin Dafiaghor in category: robotics/AI
OEC promoting AI in Africa.
Ranjan KC
Artificial intelligence (AI) is learning more about how to work with (and on) humans. A recent study has shown how AI can learn to identify vulnerabilities in human habits and behaviours and use them to influence human decision-making.
Feb 12, 2021
New Machine Learning Theory Raises Questions About the Very Nature of Science
Posted by Jose Ruben Rodriguez Fuentes in categories: information science, physics, robotics/AI, science, space
A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels fusion facilities designed to harvest on Earth the fusion energy that powers the sun and stars.
The algorithm, devised by a scientist at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), applies machine learning, the form of artificial intelligence (AI) that learns from experience, to develop the predictions. “Usually in physics, you make observations, create a theory based on those observations, and then use that theory to predict new observations,” said PPPL physicist Hong Qin, author of a paper detailing the concept in Scientific Reports. “What I’m doing is replacing this process with a type of black box that can produce accurate predictions without using a traditional theory or law.”
Qin (pronounced Chin) created a computer program into which he fed data from past observations of the orbits of Mercury, Venus, Earth, Mars, Jupiter, and the dwarf planet Ceres. This program, along with an additional program known as a “serving algorithm,” then made accurate predictions of the orbits of other planets in the solar system without using Newton’s laws of motion and gravitation. “Essentially, I bypassed all the fundamental ingredients of physics. I go directly from data to data,” Qin said. “There is no law of physics in the middle.”
