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New Horizons : la longue route pour comprendre Pluton

New Horizons : la longue route pour comprendre Pluton
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New Horizons passes milestone distance 50 AU | Space

April 20, 2021 On April 17, 2021, the New Horizons spacecraft passed 50 astronomical units – 50 times Earth’s distance from the sun – while speeding toward interstellar space. It also captured an image of another earthly spacecraft, even farther out. View larger. | This diagram illustrates the 5 missions that have gone farther than 50 astronomical units (AU) from the sun. An AU is about the distance between the Earth and sun. New Horizons reached this milestone on April 17, 2021, after exploring Pluto and another distant object, called Arrokoth. Image via NASA/ Johns Hopkins APL/ Southwest Research Institute. Only four spacecraft have journeyed as far into space as 50 astronomical units (AU), or 50 times Earth’s distance from the sun. On April 17, 2021, New Horizons became the 5th human-made object to reach this rare space milestone. The spacecraft broke the 50 AU mark on its trek out of the solar system, nearly six years after its successful sweep past Pluto in July, 2015

The Algorithm Helping Soft Robots Understand Their Surroundings

Thought LeadersAndrew Spielberg and Alexander AminiRobotics Researchers Computer Science and Artificial Intelligence Laboratory (CSAIL)Massachusetts Institute of Technology Soft robot development could benefit from an algorithm that optimizes sensor placement allowing such machines to better ‘understand’ their environments. Ph.D. students in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), Alexander Amini and Andrew Spielberg, have developed an algorithm to assist engineers with sensor placement to optimize soft robotics designs.  Can you give our readers a summary of your recent research? Our research focuses on soft robots, a new breed of robots of growing interest in the robotics community. Rigid robots have a rigid skeleton with discrete joints. By contrast, soft robots are flexible throughout their body, and typically do not have a joint structure. While rigid robots can be modeled quite compactly - you simply need to know the state of all

AI identifies pain levels from patient data

AI identifies pain levels from patient data A research team led by Northwestern University faculty and alumni has found it’s possible to understand a patient’s pain level by examining data from vital signs. In a new study, the team developed and applied artificial intelligence (AI), or machine-learning, algorithms to physiological data including respiratory rate, blood pressure, heart rate, body temperature and oxygen levels from patients with chronic pain from sickle cell disease. Not only did the researchers’ approach outperform baseline models to estimate subjective pain levels, it also detected changes in pain and atypical pain fluctuations. The study was published March 11 in the journal PLOS Computational Biology. This is the first paper to demonstrate that machine learning can be used to find clues to pain hidden within data from patients’ vital signs.

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