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5 books on AI for Space applications [PDF]
October 24, 2024 | 15 |
These books provide insights into AI solutions for space industry, offering a deep understanding of algorithms, machine learning techniques, and data analysis methods tailored for space applications.
1. Intelligent Thoughts of the Cosmos: Artificial Intelligence and Evolutionary Intelligence in Space
2023 by BܪRA ARSLAN HAKTANIYAN
Imagine, if you will, a universe so vast, so absurdly overqualified in sheer size and mystery, that one could spend entire lifetimes pondering its wonders and still only manage to find out what time lunch is. This book, a delightful hitchhiker’s guide of sorts to the intelligent musings of the cosmos, whisks you away on a galactic rollercoaster where evolutionary processes tango with artificial intelligence under the watchful gaze of stars that are far too busy fusing hydrogen to notice. It’s a tale where humanity’s thirst for knowledge, cosmic curiosity and occasional bouts of existential dread merge into an epic journey through galaxies, black holes and other stellar oddities. Part science, part philosophy, part wondering if the universe is just a very elaborate prank by an alien civilization with too much free time, this book explores life, intelligence and the universe in a way that makes you feel profoundly small yet oddly significant. Hold on to your towel—this is going to be a ride.
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2. The Use of Artificial Intelligence for Space Applications: Workshop at the 2022 International Conference on Applied Intelligence and Informatics
2023 by Cosimo Ieracitano, Nadia Mammone, Marco Di Clemente, Mufti Mahmud, Roberto Furfaro, Francesco Carlo Morabito
In a universe where space is vast, mysterious and occasionally filled with the sort of inconvenient hazards that might make you wish for a good towel, "The Use of Artificial Intelligence for Space Applications" boldly lands as the definitive guide for anyone wanting to shove a bit of cleverness into their star-hopping escapades. From teaching rovers to not trip over particularly surly rocks on Mars to politely asking AI to avoid smashing satellites into space junk (or, worse, each other), this book unpacks the surprisingly sensible ways AI can make space exploration less of a cosmic headache. And while traditionalists may grumble about "mission-critical risks" and "astronomical costs" (because, of course, everything in space is astronomical), this delightful workshop compilation proves that with the right algorithms and a dash of machine learning, the galaxy might just get a bit more manageable. Targeted at researchers, start-ups and anyone who’s ever wondered if their GPS could navigate a wormhole, it’s an interstellar toolkit for a brighter, smarter future—or at least one that avoids black holes more elegantly.
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3. Artificial Intelligence for Space: AI4SPACE: Trends, Applications, and Perspectives
2023 by Matteo Madi, Olga Sokolova
Artificial Intelligence for Space: AI4SPACE: Trends, Applications and Perspectives is the kind of book that takes a rocket-fueled dive into the cosmic chaos of the modern space industry and says, “Well, isn’t this a lovely mess to sort out!” Penned by Prof. Dr. Oliver Ullrich—who sounds like he moonlights as a supervillain with an impeccable CV—it’s a whirlwind journey through the baffling brilliance of AI’s role in space exploration. Expect to encounter everything from AI-powered space robots that can probably outwit your toaster to Earth Observation systems that know more about your backyard than you do. And let’s not forget the tantalizing prospect of space tourism, where AI might ensure that your orbital jaunt doesn’t turn into the plot of a disaster movie. Whether you’re a space engineer, a policy maker, or just someone who enjoys a good think about the cosmos while sipping tea, this book provides a galaxy’s worth of insights, delivered with the kind of interstellar flair that makes you wonder if AI is already quietly running the universe.
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4. Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences
2021 by Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu, Markus Reichstein
In a universe where the Earth is both a fragile speck of dust hurtling through the cosmos and a frustratingly complicated lab experiment gone awry, Deep Learning for the Earth Sciences arrives like a hyper-intelligent toaster from a parallel dimension, ready to solve everything from climate forecasting to the mysteries of domain adaptation—assuming you can keep up. Penned by a quartet of intellectual hitchhikers (Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu and Markus Reichstein), this book whisks you off on a whirlwind tour of deep learning's quirks and quirks-applied-to-geophysics. Expect insights into everything from image segmentation (yes, your satellite selfies too) to forecasting, all wrapped in a delightfully physics-aware bow. Whether you're a PhD student, a researcher, or just someone who likes their machine learning with a side of geological chaos, this book offers the tools, techniques and occasional existential ponderings you'll need to revolutionize the way we stare at clouds—or climate systems, as the pros call them.
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5. Patterns Identification and Data Mining in Weather and Climate
2021 by Abdelwaheb Hannachi
Patterns Identification and Data Mining in Weather and Climate is the sort of book you’d want to have handy if you ever found yourself accidentally in charge of predicting global weather patterns while simultaneously fending off a galactic bureaucracy with a fondness for unnecessarily complicated forms. Abdelwaheb Hannachi takes the wild, untamed beast of weather and climate data—vast, chaotic and entirely uninterested in your human notions of order—and wrangles it into something astonishingly comprehensible. With a mix of cunning techniques (think “machine learning” but with fewer dystopian undertones and more Matlab), he unveils patterns in the universe that might otherwise stay as inscrutable as a Vogon’s poetry collection. Between dimensionality reductions and teleconnections (which sound suspiciously like interstellar telecom plans), the book doubles as a toolkit for both newcomers and veterans. Not to mention, the inclusion of practical Matlab codes feels like Hannachi slyly handing you the cheat codes to the weather gods’ favorite video game. In short, this is a book for anyone with an interest in climate science, an affinity for spotting patterns, or simply a love of navigating complexity with a grin and a lot of data.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Intelligent Thoughts of the Cosmos: Artificial Intelligence and Evolutionary Intelligence in Space
2023 by BܪRA ARSLAN HAKTANIYAN
Imagine, if you will, a universe so vast, so absurdly overqualified in sheer size and mystery, that one could spend entire lifetimes pondering its wonders and still only manage to find out what time lunch is. This book, a delightful hitchhiker’s guide of sorts to the intelligent musings of the cosmos, whisks you away on a galactic rollercoaster where evolutionary processes tango with artificial intelligence under the watchful gaze of stars that are far too busy fusing hydrogen to notice. It’s a tale where humanity’s thirst for knowledge, cosmic curiosity and occasional bouts of existential dread merge into an epic journey through galaxies, black holes and other stellar oddities. Part science, part philosophy, part wondering if the universe is just a very elaborate prank by an alien civilization with too much free time, this book explores life, intelligence and the universe in a way that makes you feel profoundly small yet oddly significant. Hold on to your towel—this is going to be a ride.
Download PDF
2. The Use of Artificial Intelligence for Space Applications: Workshop at the 2022 International Conference on Applied Intelligence and Informatics
2023 by Cosimo Ieracitano, Nadia Mammone, Marco Di Clemente, Mufti Mahmud, Roberto Furfaro, Francesco Carlo Morabito
In a universe where space is vast, mysterious and occasionally filled with the sort of inconvenient hazards that might make you wish for a good towel, "The Use of Artificial Intelligence for Space Applications" boldly lands as the definitive guide for anyone wanting to shove a bit of cleverness into their star-hopping escapades. From teaching rovers to not trip over particularly surly rocks on Mars to politely asking AI to avoid smashing satellites into space junk (or, worse, each other), this book unpacks the surprisingly sensible ways AI can make space exploration less of a cosmic headache. And while traditionalists may grumble about "mission-critical risks" and "astronomical costs" (because, of course, everything in space is astronomical), this delightful workshop compilation proves that with the right algorithms and a dash of machine learning, the galaxy might just get a bit more manageable. Targeted at researchers, start-ups and anyone who’s ever wondered if their GPS could navigate a wormhole, it’s an interstellar toolkit for a brighter, smarter future—or at least one that avoids black holes more elegantly.
Download PDF
3. Artificial Intelligence for Space: AI4SPACE: Trends, Applications, and Perspectives
2023 by Matteo Madi, Olga Sokolova
Artificial Intelligence for Space: AI4SPACE: Trends, Applications and Perspectives is the kind of book that takes a rocket-fueled dive into the cosmic chaos of the modern space industry and says, “Well, isn’t this a lovely mess to sort out!” Penned by Prof. Dr. Oliver Ullrich—who sounds like he moonlights as a supervillain with an impeccable CV—it’s a whirlwind journey through the baffling brilliance of AI’s role in space exploration. Expect to encounter everything from AI-powered space robots that can probably outwit your toaster to Earth Observation systems that know more about your backyard than you do. And let’s not forget the tantalizing prospect of space tourism, where AI might ensure that your orbital jaunt doesn’t turn into the plot of a disaster movie. Whether you’re a space engineer, a policy maker, or just someone who enjoys a good think about the cosmos while sipping tea, this book provides a galaxy’s worth of insights, delivered with the kind of interstellar flair that makes you wonder if AI is already quietly running the universe.
Download PDF
4. Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences
2021 by Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu, Markus Reichstein
In a universe where the Earth is both a fragile speck of dust hurtling through the cosmos and a frustratingly complicated lab experiment gone awry, Deep Learning for the Earth Sciences arrives like a hyper-intelligent toaster from a parallel dimension, ready to solve everything from climate forecasting to the mysteries of domain adaptation—assuming you can keep up. Penned by a quartet of intellectual hitchhikers (Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu and Markus Reichstein), this book whisks you off on a whirlwind tour of deep learning's quirks and quirks-applied-to-geophysics. Expect insights into everything from image segmentation (yes, your satellite selfies too) to forecasting, all wrapped in a delightfully physics-aware bow. Whether you're a PhD student, a researcher, or just someone who likes their machine learning with a side of geological chaos, this book offers the tools, techniques and occasional existential ponderings you'll need to revolutionize the way we stare at clouds—or climate systems, as the pros call them.
Download PDF
5. Patterns Identification and Data Mining in Weather and Climate
2021 by Abdelwaheb Hannachi
Patterns Identification and Data Mining in Weather and Climate is the sort of book you’d want to have handy if you ever found yourself accidentally in charge of predicting global weather patterns while simultaneously fending off a galactic bureaucracy with a fondness for unnecessarily complicated forms. Abdelwaheb Hannachi takes the wild, untamed beast of weather and climate data—vast, chaotic and entirely uninterested in your human notions of order—and wrangles it into something astonishingly comprehensible. With a mix of cunning techniques (think “machine learning” but with fewer dystopian undertones and more Matlab), he unveils patterns in the universe that might otherwise stay as inscrutable as a Vogon’s poetry collection. Between dimensionality reductions and teleconnections (which sound suspiciously like interstellar telecom plans), the book doubles as a toolkit for both newcomers and veterans. Not to mention, the inclusion of practical Matlab codes feels like Hannachi slyly handing you the cheat codes to the weather gods’ favorite video game. In short, this is a book for anyone with an interest in climate science, an affinity for spotting patterns, or simply a love of navigating complexity with a grin and a lot of data.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
