Researchers at NASA have been hard at work on a pilot AI system intended to help future exploration missions find evidence of life on other planets in our solar system. Machine learning algorithms will help exploration devices analyze soil samples on Mars and return the most relevant data to NASA. The pilot program is currently slated for a test run during the ExoMars mission that will see its launch in mid-2022. As IEEE Spectrum reports, the decision to use machine learning and artificial intelligence to aid the search for life on other planets was driven largely by Erice Lyness, the head of the Goddard Planetary Environments Lab at NASA. Lyness needed to come up with ways of automating aspects of geochemical analyses of samples taken in other parts of our solar system.
As NASA gears up to send humans to the moon and Mars it is also working on new advances to protect the space terrains from human germs. The American space agency released updates to its Planetary Protection Policies that provide new requirements for both astronaut and robotic missions. The added policies note that no biological matter is left on or around the moon, along with humans are to not contaminate any part of Mars with biological materials or return to Earth with germs from the Red Planet. The first woman and next man are set to head to the moon in 2024 and the first crewed mission to Mars is planned for the 2030s – and as early as 2035. The added policies note that no biological matter is left on or around the moon.
NASA wants to make sure we don't unknowingly take organisms or other contaminants from Earth to other worlds (and vice-versa) when humans start exploring space beyond Low Earth Orbit. In a tweet, NASA Administrator Jim Brindestine has announced that the agency has updated its policies to reflect that commitment ahead of the upcoming Artemis missions. "We will protect scientific discoveries and the Earth's environment, while enabling dynamic human exploration and commercial innovation on the Moon and Mars," he wrote. While the space agency has been sending rovers and other unmanned spacecraft to the Moon and Mars, it's concerned about the biological contaminants associated with human presence. If we unknowingly take contaminants to other worlds when we start human exploration, we risk compromising the search for extraterrestrial life. At the same time, NASA wants to ensure its crewed missions don't cause adverse changes to Earth's environment with the introduction of contaminants from outer space.
The Sisense analytics platform is known for its augmented analytics capabilities and ease of use, and as it moves forward it will do so with a new leader in charge of its product development. Just over a year after its acquisition of Periscope Data, a purchase that added capabilities aimed at data scientists to the features geared toward business users Sisense was already know for, the New York-based vendor is focused on third-generation analytics in which AI and business intelligence embedded throughout the workflow will be prominent. Most recently, Sisense updated its analytics platform with new natural language query capabilities and introduced Knowledge Graph, a graph analytics engine the vendor developed that was trained on more than 650 billion past analytic events and informs the machine learning capabilities of the query tool. Now, to help shape its vision, Sisense has added Ashley Kramer as its first chief product officer. Kramer began her career as a software engineering manager at NASA.
Software has never played a more critical role in spaceflight. It has made it safer and more efficient, allowing a spacecraft to automatically adjust to changing conditions. According to Darrel Raines, a NASA engineer leading software development for the Orion deep space capsule, autonomy is particularly key for areas of "critical response time"--like the ascent of a rocket after liftoff, when a problem might require initiating an abort sequence in just a matter of seconds. Or in instances where the crew might be incapacitated for some reason. And increased autonomy is practically essential to making some forms of spaceflight even work.
Nasa has been forced to delay the launch of its newest and most ambitious Mars rover – leading to fears it might miss its launch window entirely. The Perseverance rover and its associated mission will cost about $3 billion. It will look for signs of Martian life in the past, as well as gathering materials from the surface that will one day be returned to Earth.
A few months ago, NASA unveiled its next-generation space suit that will be worn by astronauts when they return to the moon in 2024 as part of the agency's plan to establish a permanent human presence on the lunar surface. The Extravehicular Mobility Unit--or xEMU--is NASA's first major upgrade to its space suit in nearly 40 years and is designed to make life easier for astronauts who will spend a lot of time kicking up moon dust. It will allow them to bend and stretch in ways they couldn't before, easily don and doff the suit, swap out components for a better fit, and go months without making a repair. Instead, they're hidden away in the xEMU's portable life-support system, the astro backpack that turns the space suit from a bulky piece of fabric into a personal spacecraft. It handles the space suit's power, communications, oxygen supply, and temperature regulation so that astronauts can focus on important tasks like building launch pads out of pee concrete.
Artificial intelligence is everywhere in our homes, workplace and even our cars we can all agree that artificial intelligence has massively helped us all in simplifying task we do from searching up the weather to simply just asking what the weather is to your device, cutting the time by half. It's a no-brainer that NASA would try implement artificial intelligence into space travel and exploration. Scientist at NASA are going to use artificial intelligence to help search for alien life in rock samples on Mars on the European Space Agency ExoMars mission in 2022 that was supposed to take place this summer but due to corona-virus it has been delayed . The European Space Agency (ESA) Rosalind Franklin'ExoMars' rover will be the first to have the novel AI system when it takes off for Earth's Red neighbour in 2022. This will massively improve the efficiency of the transfer of data between planets as the transfer of data is expensive and time consuming, however the artificial intelligent system has been trained to cut unnecessary data and both analyse and rely it back to us on Earth overcoming the limits of interplanetary data transfer.
NASA is asking for your help to guide its Curiosity rover around sand traps, sharp rocks and other obstacles on the Red Planet. A new online tool called AI4Mars, hosted on Zooniverse, allows anyone to label parts of the terrain in the landscape surrounding Curiosity, which has been roving on Mars since 2012. The tool is a form of "machine learning" that allows rover planners assisting with Curiosity's movements to train the rover's intelligence for safe route planning. Picking an appropriate pathway is a pressing problem for Martian rovers. Curiosity's wheels wore down in the early years of its mission from driving over sharp rocks, while another Mars rover called Spirit got permanently stuck in a sand trap in 2010.
Artificial intelligence will help scientists search for signs of ancient life on Mars and other planets thanks to work by NASA scientists in training the system. The European Space Agency (ESA) Rosalind Franklin'ExoMars' rover will be the first to have the new AI system when it leaves for the Red Planet in 2022/2023. Allowing these intelligent systems to choose both what to analyse and what to tell us back on Earth will overcome severe limits on how information is transmitted over huge distances in the search for life from distant planets. The system is being tested on Mars but has been designed to be used in future missions to the icy moons of Jupiter and Saturn where distance is more of an issue. The European Space Agency (ESA) Rosalind Franklin'ExoMars' rover will be the first to have the new AI system when it leaves for the Red Planet in 2022/2023 Presenting the work at the Goldschmidt Geochemistry conference, lead researcher Victoria Da Poian from NASA said this was a'visionary step in space exploration'.