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Toly never set out to be the guy trapped between genius and madness, but life has a way of screwing with your plans. Born in the concrete jungle of Moscow during the waning days of the Soviet Union, he grew up believing he’d spend his life in a lab, unlocking the secrets of the universe or at least figuring out why Soviet elevators never quite worked right. He earned his chops in physics and cryptography, climbed the bureaucratic ladder of the Academy of Sciences, and navigated Soviet absurdities like a pro. Then came the collapse, and Toly found himself as one of those rare intellectual refugees—a brilliant mind with nowhere to plug in. America seemed like a good idea at the time, the land of opportunity and functioning appliances. But instead of a smooth landing, he found himself in the bizarre parallel universe of NanoMine Inc., a company where chaos is standard operating procedure, and the company culture is dictated by Greg Durov, a tyrannical boss with the charm of a charging bull and the patience of a caffeinated squirrel. NanoMine is not your typical tech startup. It’s not even your atypical tech startup. It's more like a rogue state, an island unto itself in the chaotic sea of Silicon Valley. If there were a reality show about dysfunctional companies, NanoMine would win an Emmy for Best Tragicomedy. The workday here is a cocktail of Kafkaesque bureaucracy, Russian roulette with office politics, and a relentless game of dodgeball, where the balls are actual projectiles, and the game never ends. Toly's days are filled with cryptic codes, defective prototypes, and existential dread, all while he tries to keep his sanity under the fluorescent lights of corporate hell. Here, the only thing more unstable than the electrical circuits is the management team. He quickly learns that working at NanoMine is less about innovation and more about survival in a Darwinian sense. It's the kind of place where your job security is tied to how well you can dodge flying office supplies or interpret Greg’s mood swings. Despite all odds, Toly somehow manages to find his footing—or maybe just his balance on a constantly tilting ship. He has a peculiar talent for being in the wrong place at the right time, and it earns him a reputation for being indispensable, or at least inexplicable. In his spare time, he writes technical manuals on things nobody needs to know, which somehow turn into cult hits among disillusioned engineers. Toly is living proof that life is a series of strange plot twists, especially if you’re an ex-Soviet scientist with a penchant for making all the wrong choices and occasionally the right ones for the wrong reasons. Whether he's arguing with government clerks, tangling with corporate bullies, or just trying to keep his head above water in the relentless stream of absurdity, one thing is clear: Toly is not your average engineer, but then again, this is not your average story.
The two volume set LNCS 12506 and 12507 constitutes the proceedings of the 19th International Semantic Web Conference, ISWC 2020, which was planned to take place in Athens, Greece, during November 2-6, 2020. The conference changed to a virtual format due to the COVID-19 pandemic. The papers included in this volume deal with the latest advances in fundamental research, innovative technology, and applications of the Semantic Web, linked data, knowledge graphs, and knowledge processing on the Web. They were carefully reviewed and selected for inclusion in the proceedings as follows: Part I: Features 38 papers from the research track which were accepted from 170 submissions; Part II: Includes 22 papers from the resources track which were accepted from 71 submissions; and 21 papers in the in-use track, which had a total of 46 submissions. Chapter “Transparent Integration and Sharing of Life Cycle Sustainability Data with Provenance ” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.
Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions. The authors, who have extensive experience in this interdisciplinary field, discuss generalizations where more than one competing material property is involved or data with differing degrees of precision/costs or fidelity/expense needs to be considered.
This book provides a compilation of innovative fabrication strategies and utilization methodologies that are frequently adopted in the advanced composite materials community. It addresses developing appropriate composites to efficiently utilize macro- and nanoscale features. It covers a selection of key aspects of composite materials, including history, reinforcements, matrix materials, mechanical properties, physical properties, theory, and applications. The volume reviews the research developments of a number of widely studied composite materials with different matrices. Key features of this book: Contains new coverage of nanocomposites Reflects the latest theoretical and engineering and industrial applications of composite materials Provides design methods with numerical information and technical formulations needed for researchers Presents a critical review of progress in research and development on composite materials Offers comments on future research direction and ideas for product development
The book is concerned with the use of Artificial Intelligence in the discovery, production and application of new engineering materials. Topics covered include nano-robots. data mining, solar energy systems, materials genomics, polymer manufacturing, and energy conversion issues. Keywords: Artificial Intelligence, Mathematical Models, Machine Learning, Artificial Neural Networks, Bayesian Analysis, Vector Machines, Heuristics, Crystal Structure, Component Prediction, Process Optimization, Density Functional Theory, Monitoring, Classification, Nano-Robots, Data Mining, Solar Photovoltaics, Renewable Energy Systems, Alternative Energy Sources, Material Genomics, Polymer Manufacturing, Energy Conversion.
So you’re interested in mining cryptocurrency, but you’re not sure where to start? No problem, this guide is all you need to set up your own headless litecoin mining rig—even if you have absolutely no experience with this sort of thing. First, let’s get the obvious question out of the way: why litecoins? After all, bitcoins are worth more, right? The simple answer is that at the time of this writing, litecoins are currently the most profitable cryptocurrency to mine when you take into account how much each coin is worth, and the time required to mine one. Rest assured that if the situation changes, and another cryptocurrency suddenly surpasses litecoin as the best mining option, the rig outlined in the guide should have no problem switching over to a new coin.
This book constitutes the refereed proceedings of the 20th International Conference on The Semantic Web, ESWC 2023, held in Hersonissos, Crete, Greece, during May 28–June 1, 2023. The 41 full papers included in this book were carefully reviewed and selected from 167 submissions. They are organized in topical sections as follows: research, resource and in-use.