So let’s start! Tell us a bit about yourself. For example, name, profession, and personal interests. My name is Ulrik Lykke. I’m a Danish-born entrepreneur and business owner that has been involved in a number of businesses since I first started my own at the age of 18. I first discovered Bitcoin more than a decade ago and since my first encounter, I’ve become more and more dedicated to the digital assets industry, and have been involved with a number of business ventures in that domain. My forté lies within the investment side of the space and my experience covers everything from starting one of the first investment funds in Europe dealing with crypto assets to identifying, assessing, and investing in venture projects from the industry. Interesting! What was your latest Hackernoon Top story about? My latest story was titled “ ”, where I tried to distill the behavior of venture capitalists in the crypto scene for the year 2022 and speculate on what to look out for in the new year. Crypto VC Behavior Reveals Market Trends for 2023 and Beyond Do you usually write on similar topics? If not, what do you usually write about? I generally write a lot of things and have been an avid writer since I was quite young. I remember registering my domain around the age of 15 and starting to write non-fiction posts about everything from tech to technology. The website still exists but I’ve since truncated the first entries. ulriklykke.dk Nowadays my writings are typically focused on the or space. However, I do write an occasional poem or Essay as well. digital asset space technology Great! What is your usual writing routine like (if you have one?) I’ve found that evenings are the best time for me to write. I try to spend 30 minutes every evening on my scribbles, and it is also there where I review social media posts and similar things. My really productive nights typically come as binges, and often it will keep me up till way after midnight. Recently I’ve become , where I write small snippets on market behavior in crypto. fairly active on Linkedin Being a writer in tech can be a challenge. It’s not often our main role, but an addition to another one. What is the biggest challenge you have when it comes to writing? During a normal workday, I have a myriad of emails, phone calls, and instant messages tossed at me. This is wildly unproductive if you want to write some good. I’ve long ago mastered writing while I am doing something else. However, I have also long realized that I cannot write if I don’t have the mental space and silence to do so. Perhaps this is why I prefer the evening for my scribbles. quality What is the next thing you hope to achieve in your career? I have many things I want to achieve. Both as an , an , and as a . entrepreneur investor writer As an entrepreneur, I am working actively on a few projects which I think could capture a lot of value in the next few years. One of these is , which I want to double down on and transform into a fully-fledged research institute for crypto. Bitcoin Global Macro As an investor, I am quite active with some bets this year, as the current market terrain. Wow, that’s admirable. Now, something more casual: What is your guilty pleasure of choice? I guess I am a sucker for quality social settings where I can enjoy good food and the occasional drink. For drinks, I enjoy most things as long as it is not sweet. I’m a big fan of whiskey in particular and have quite the collection at home. Do you have a non-tech-related hobby? If yes, what is it? I paint oil paintings on canvas. I mainly concentrate on abstract and contemporary art, and my work is largely guided by my intuition and feelings. I try to avoid conceptual plans for what I am creating and can paint for hours straight sometimes. Recently, I also bought a mixer and got a little interested in mixing electronic music too. Creative outlets like painting and mixing music are very pleasant inputs in my life as most of my creativity is channeled toward business endeavors. What can the Hacker Noon community expect to read from you next? Quality content regarding the digital assets markets. I try to be fact-based, relevant, and slightly opinionated about what I write. I don’t claim to have all the answers at all, but I think I hold a qualified opinion regarding many topics. What’s your opinion on HackerNoon as a platform for writers? Obviously just discovering the writing aspects of this platform now but have since joined and also consumed more of a few tech reads already. I’m a big fan of staying on top of what’s happening in tech and lately; I’ve enjoyed many reads on AI here on HackerNoon. Thanks for taking time to join our “ ” series. It was a pleasure. Do you have any closing words? Meet the writer A pleasure to participate! I hope to be a consistent contributor and can also be found on my and my accounts where I also publish shorter-form content. LinkedIn Twitter

Meet the Writer: Hacker Noon's Contributor Ulrik Lykke, Head of Research @ Bitcoin Global Macro

Lordmancer II (http://lordmancer2.io) is a mobile MMO RPG in which players can use crypto token Lord Coin for in-game trading. To make more use of Lord Coins, players should have an easy way to buy and sell Lord Coins for either fiat money or cryptocurrency. Lordmancer II is partnering with Lykke (lykke.com), a FinTech company building a global marketplace on the blockchain. The developer of Lordmancer II, Active Games LLC will create a customized Lordmancer II wallet based on Lykke Payments API. The wallet will allow Lordmancer II players to store, buy and sell LordCoins for fiat and cryptocurrencies. It is crucial that players will have a mobile application which will allow them to easily operate with cryptocurrency. We strongly believe that Lordmancer II will bring a lot of new people to the blockchain world. The game may as well be their first experience of using cryptocurrency. Lordmancer II game is available for beta testing on both iOS and Android and can be downloaded from http://lordmancer2.io Lordmancer II is conducting an ICO, which soft cap is already reached. The game is going to be launched globally in 2018. The wallet will be created and published in Q1 2018. See more details on http://lordmancer2.io

Lordmancer II partners with Lykke to create a customized blockchain wallet

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This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Yici Zhong, Department of Physics, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan;
(2) Kazumi Kashiyama, Research Center for the Early Universe, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan and Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU,WPI), The University of Tokyo, Chiba 277-8582, Japan;
(3) Shinsuke Takasao, Department of Earth and Space Science, Graduate School of Science, Osaka University, Toyonaka, Osaka 560-0043, Japan;
(4) Toshikazu Shigeyama, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Astronomy, School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan;
(5) Kotaro Fujisawa, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Liberal Arts, Tokyo University of Technology, Ota-ku, Tokyo 144-0051, Japan. Table of Links Abstract and Intro Setup Result Summary and Discussion Appendix A. Dual Energy Formalism B. Convergence of Results C. Change of the Mass Loss Rate in MHD Regime References REFERENCES Briggs, G. P., Ferrario, L., Tout, C. A., Wickramasinghe, D. T., & Hurley, J. R. 2015, MNRAS, 447, 1713, doi: 10.1093/mnras/stu2539 Bryan, G. L., Norman, M. L., Stone, J. M., Cen, R., & Ostriker, J. P. 1995, Computer Physics Communications, 89, 149, doi: 10.1016/0010-4655(94)00191-4 Bucciantini, N., Thompson, T. A., Arons, J., Quataert, E., & Del Zanna, L. 2006, MNRAS, 368, 1717, doi: 10.1111/j.1365-2966.2006.10217.x Caiazzo, I., Burdge, K. B., Fuller, J., et al. 2021, Nature, 595, 39, doi: 10.1038/s41586-021-03615-y Cheng, S., Cummings, J. D., M´enard, B., & Toonen, S. 2020, ApJ, 891, 160, doi: 10.3847/1538-4357/ab733c Contopoulos, I., & Spitkovsky, A. 2006, ApJ, 643, 1139, doi: 10.1086/501161 Ferreira, J. M. 2000, MNRAS, 316, 647, doi: 10.1046/j.1365-8711.2000.03540.x Garc´ıa-Berro, E., Lor´en-Aguilar, P., Aznar-Sigu´an, G., et al. 2012, ApJ, 749, 25, doi: 10.1088/0004-637X/749/1/25 Gvaramadze, V. V., Gr¨afener, G., Langer, N., et al. 2019, Nature, 569, 684, doi: 10.1038/s41586-019-1216-1 Iben, I., J., & Tutukov, A. V. 1984, ApJS, 54, 335, doi: 10.1086/190932 Iijima, H. 2016, PhD thesis, University of Tokyo, Department of Earth and Planetary Environmental Science Jardine, M., & Collier Cameron, A. 2019, MNRAS, 482, 2853, doi: 10.1093/mnras/sty2872 Kashiyama, K., Fujisawa, K., & Shigeyama, T. 2019, ApJ, 887, 39, doi: 10.3847/1538-4357/ab4e97 Kashiyama, K., Ioka, K., & Kawanaka, N. 2011, PhRvD, 83, 023002, doi: 10.1103/PhysRevD.83.023002 Kashiyama, K., & Murase, K. 2017, ApJL, 839, L3, doi: 10.3847/2041-8213/aa68e1 Kilic, M., Kosakowski, A., Moss, A. G., Bergeron, P., & Conly, A. A. 2021, ApJL, 923, L6, doi: 10.3847/2041-8213/ac3b60 Kirsten, F., Marcote, B., Nimmo, K., et al. 2022, Nature, 602, 585, doi: 10.1038/s41586-021-04354-w Ko, T., Suzuki, H., Kashiyama, K., et al. 2023, arXiv e-prints, arXiv:2304.14669, doi: 10.48550/arXiv.2304.14669 Kremer, K., Piro, A. L., & Li, D. 2021, ApJL, 917, L11, doi: 10.3847/2041-8213/ac13a0 Lu, W., Beniamini, P., & Kumar, P. 2022, MNRAS, 510, 1867, doi: 10.1093/mnras/stab3500 Lykou, F., Parker, Q. A., Ritter, A., et al. 2022, arXiv e-prints, arXiv:2208.03946, doi: 10.48550/arXiv.2208.03946 Matt, S. P., MacGregor, K. B., Pinsonneault, M. H., & Greene, T. P. 2012, ApJL, 754, L26, doi: 10.1088/2041-8205/754/2/L26 Michel, F. C. 1969, ApJ, 158, 727, doi: 10.1086/150233 Miyoshi, T., & Kusano, K. 2005, Journal of Computational Physics, 208, 315, doi: 10.1016/j.jcp.2005.02.017 Nomoto, K., & Iben, I., J. 1985, ApJ, 297, 531, doi: 10.1086/163547 Oskinova, L. M., Gvaramadze, V. V., Gr¨afener, G., Langer, N., & Todt, H. 2020, A&A, 644, L8, doi: 10.1051/0004-6361/202039232 Parker, E. N. 1965, SSRv, 4, 666, doi: 10.1007/BF00216273 Raives, M. J., Coleman, M. S. B., & Thompson, T. A. 2023, arXiv e-prints, arXiv:2302.05462, doi: 10.48550/arXiv.2302.05462 Ritter, A., Parker, Q. A., Lykou, F., et al. 2021, ApJL, 918, L33, doi: 10.3847/2041-8213/ac2253 Saio, H., & Nomoto, K. 2004, ApJ, 615, 444, doi: 10.1086/423976 Schwab, J. 2021, ApJ, 906, 53, doi: 10.3847/1538-4357/abc87e Schwab, J., Quataert, E., & Kasen, D. 2016, MNRAS, 463, 3461, doi: 10.1093/mnras/stw2249 Stone, J. M., Tomida, K., White, C. J., & Felker, K. G. 2020, The Astrophysical Journal Supplement Series, 249, 4, doi: 10.3847/1538-4365/ab929b Takasao, S., Tomida, K., Iwasaki, K., & Suzuki, T. K. 2019, ApJL, 878, L10, doi: 10.3847/2041-8213/ab22bb Tout, C. A., Wickramasinghe, D. T., Liebert, J., Ferrario, L., & Pringle, J. E. 2008, MNRAS, 387, 897, doi: 10.1111/j.1365-2966.2008.13291.x Townsend, R. H. D., & Owocki, S. P. 2005, MNRAS, 357, 251, doi: 10.1111/j.1365-2966.2005.08642.x Ud-Doula, A., Owocki, S. P., & Townsend, R. H. D. 2009, MNRAS, 392, 1022, doi: 10.1111/j.1365-2966.2008.14134.x Webbink, R. F. 1984, ApJ, 277, 355, doi: 10.1086/161701 Weber, E. J., & Davis, Leverett, J. 1967, ApJ, 148, 217, doi: 10.1086/149138 Wu, C., Xiong, H., Lin, J., et al. 2023, ApJL, 944, L54, doi: 10.3847/2041-8213/acb6f3 Yao, P. Z., Quataert, E., & Goulding, A. 2023, MNRAS, doi: 10.1093/mnras/stad1934 This paper is available on arxiv under CC 4.0 license. Authors: (1) Yici Zhong, Department of Physics, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan; (2) Kazumi Kashiyama, Research Center for the Early Universe, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan and Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU,WPI), The University of Tokyo, Chiba 277-8582, Japan; (3) Shinsuke Takasao, Department of Earth and Space Science, Graduate School of Science, Osaka University, Toyonaka, Osaka 560-0043, Japan; (4) Toshikazu Shigeyama, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Astronomy, School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; (5) Kotaro Fujisawa, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Liberal Arts, Tokyo University of Technology, Ota-ku, Tokyo 144-0051, Japan. This paper is available on arxiv under CC 4.0 license. Authors: Authors: (1) Yici Zhong, Department of Physics, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan; (2) Kazumi Kashiyama, Research Center for the Early Universe, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan and Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU,WPI), The University of Tokyo, Chiba 277-8582, Japan; (3) Shinsuke Takasao, Department of Earth and Space Science, Graduate School of Science, Osaka University, Toyonaka, Osaka 560-0043, Japan; (4) Toshikazu Shigeyama, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Astronomy, School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; (5) Kotaro Fujisawa, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Liberal Arts, Tokyo University of Technology, Ota-ku, Tokyo 144-0051, Japan. Table of Links Abstract and Intro Abstract and Intro Setup Setup Result Result Summary and Discussion Summary and Discussion Appendix Appendix A. Dual Energy Formalism A. Dual Energy Formalism B. Convergence of Results B. Convergence of Results C. Change of the Mass Loss Rate in MHD Regime C. Change of the Mass Loss Rate in MHD Regime References References REFERENCES Briggs, G. P., Ferrario, L., Tout, C. A., Wickramasinghe, D. T., & Hurley, J. R. 2015, MNRAS, 447, 1713, doi: 10.1093/mnras/stu2539 Bryan, G. L., Norman, M. L., Stone, J. M., Cen, R., & Ostriker, J. P. 1995, Computer Physics Communications, 89, 149, doi: 10.1016/0010-4655(94)00191-4 Bucciantini, N., Thompson, T. A., Arons, J., Quataert, E., & Del Zanna, L. 2006, MNRAS, 368, 1717, doi: 10.1111/j.1365-2966.2006.10217.x Caiazzo, I., Burdge, K. B., Fuller, J., et al. 2021, Nature, 595, 39, doi: 10.1038/s41586-021-03615-y Cheng, S., Cummings, J. D., M´enard, B., & Toonen, S. 2020, ApJ, 891, 160, doi: 10.3847/1538-4357/ab733c Contopoulos, I., & Spitkovsky, A. 2006, ApJ, 643, 1139, doi: 10.1086/501161 Ferreira, J. M. 2000, MNRAS, 316, 647, doi: 10.1046/j.1365-8711.2000.03540.x Garc´ıa-Berro, E., Lor´en-Aguilar, P., Aznar-Sigu´an, G., et al. 2012, ApJ, 749, 25, doi: 10.1088/0004-637X/749/1/25 Gvaramadze, V. V., Gr¨afener, G., Langer, N., et al. 2019, Nature, 569, 684, doi: 10.1038/s41586-019-1216-1 Iben, I., J., & Tutukov, A. V. 1984, ApJS, 54, 335, doi: 10.1086/190932 Iijima, H. 2016, PhD thesis, University of Tokyo, Department of Earth and Planetary Environmental Science Jardine, M., & Collier Cameron, A. 2019, MNRAS, 482, 2853, doi: 10.1093/mnras/sty2872 Kashiyama, K., Fujisawa, K., & Shigeyama, T. 2019, ApJ, 887, 39, doi: 10.3847/1538-4357/ab4e97 Kashiyama, K., Ioka, K., & Kawanaka, N. 2011, PhRvD, 83, 023002, doi: 10.1103/PhysRevD.83.023002 Kashiyama, K., & Murase, K. 2017, ApJL, 839, L3, doi: 10.3847/2041-8213/aa68e1 Kilic, M., Kosakowski, A., Moss, A. G., Bergeron, P., & Conly, A. A. 2021, ApJL, 923, L6, doi: 10.3847/2041-8213/ac3b60 Kirsten, F., Marcote, B., Nimmo, K., et al. 2022, Nature, 602, 585, doi: 10.1038/s41586-021-04354-w Ko, T., Suzuki, H., Kashiyama, K., et al. 2023, arXiv e-prints, arXiv:2304.14669, doi: 10.48550/arXiv.2304.14669 Kremer, K., Piro, A. L., & Li, D. 2021, ApJL, 917, L11, doi: 10.3847/2041-8213/ac13a0 Lu, W., Beniamini, P., & Kumar, P. 2022, MNRAS, 510, 1867, doi: 10.1093/mnras/stab3500 Lykou, F., Parker, Q. A., Ritter, A., et al. 2022, arXiv e-prints, arXiv:2208.03946, doi: 10.48550/arXiv.2208.03946 Matt, S. P., MacGregor, K. B., Pinsonneault, M. H., & Greene, T. P. 2012, ApJL, 754, L26, doi: 10.1088/2041-8205/754/2/L26 Michel, F. C. 1969, ApJ, 158, 727, doi: 10.1086/150233 Miyoshi, T., & Kusano, K. 2005, Journal of Computational Physics, 208, 315, doi: 10.1016/j.jcp.2005.02.017 Nomoto, K., & Iben, I., J. 1985, ApJ, 297, 531, doi: 10.1086/163547 Oskinova, L. M., Gvaramadze, V. V., Gr¨afener, G., Langer, N., & Todt, H. 2020, A&A, 644, L8, doi: 10.1051/0004-6361/202039232 Parker, E. N. 1965, SSRv, 4, 666, doi: 10.1007/BF00216273 Raives, M. J., Coleman, M. S. B., & Thompson, T. A. 2023, arXiv e-prints, arXiv:2302.05462, doi: 10.48550/arXiv.2302.05462 Ritter, A., Parker, Q. A., Lykou, F., et al. 2021, ApJL, 918, L33, doi: 10.3847/2041-8213/ac2253 Saio, H., & Nomoto, K. 2004, ApJ, 615, 444, doi: 10.1086/423976 Schwab, J. 2021, ApJ, 906, 53, doi: 10.3847/1538-4357/abc87e Schwab, J., Quataert, E., & Kasen, D. 2016, MNRAS, 463, 3461, doi: 10.1093/mnras/stw2249 Stone, J. M., Tomida, K., White, C. J., & Felker, K. G. 2020, The Astrophysical Journal Supplement Series, 249, 4, doi: 10.3847/1538-4365/ab929b Takasao, S., Tomida, K., Iwasaki, K., & Suzuki, T. K. 2019, ApJL, 878, L10, doi: 10.3847/2041-8213/ab22bb Tout, C. A., Wickramasinghe, D. T., Liebert, J., Ferrario, L., & Pringle, J. E. 2008, MNRAS, 387, 897, doi: 10.1111/j.1365-2966.2008.13291.x Townsend, R. H. D., & Owocki, S. P. 2005, MNRAS, 357, 251, doi: 10.1111/j.1365-2966.2005.08642.x Ud-Doula, A., Owocki, S. P., & Townsend, R. H. D. 2009, MNRAS, 392, 1022, doi: 10.1111/j.1365-2966.2008.14134.x Webbink, R. F. 1984, ApJ, 277, 355, doi: 10.1086/161701 Weber, E. J., & Davis, Leverett, J. 1967, ApJ, 148, 217, doi: 10.1086/149138 Wu, C., Xiong, H., Lin, J., et al. 2023, ApJL, 944, L54, doi: 10.3847/2041-8213/acb6f3 Yao, P. Z., Quataert, E., & Goulding, A. 2023, MNRAS, doi: 10.1093/mnras/stad1934

Magnetic Wind From a Massive White Dwarf Merger: References

Industrial robots have been helping manufacture products and facilitate logistics for more than 60 years. Traditionally, these robots are very good at a specific function — for instance, going from A to B. Throw an obstacle into their work environment however — be it a physical object or a human collaborator — and severe safety hazards arise. Technology is progressing such that today’s industrial robots are being designed to be “adaptive,” meaning that they’re ​​capable of adapting to and learning from their environment, including human interactions. The big vision is that humans and automated robots will be able to interact with one another on a machine shop floor, reducing the risk involved with having humans work side by side with giant machines. In Europe, industrial robots are becoming more commonplace. Data published in 2021 from The International Federation of Robotics showed European industrial robot installations up 24% compared to 2020. And while Europe still trails the United States and China in terms of industrial robot use, the growth of EU industrial production — up 8% in 2021 and another 5% in 2022 — could drive robot adoption in factories. In order to better ensure that the industrial robots of the future can readily adapt to changing environments, while maintaining safe and trustworthy collaboration with humans, a group of universities, tech accelerators and private research labs from the European Union (EU) have established RoboSAPIENS. The project, which is funded by the European Union’s Horizon Europe 2021-2027 research and innovation programme, will develop and implement safety mechanisms that will empower robots to — at a high level — safely adapt to unexpected changes. In an interview with TheNextWeb’s Ioanna Lykiardopoulou, consortium partner Ana Cavalcanti, a professor at the University of York, said that the project aims to include a trustworthiness checker in the current Monitor-Analyze-Plan-Execute-Knowledge (MAPE-K) framework for self adaptive systems. “What is missing here is the inclusion in the loop of a step that verifies whether certified guarantees, of safety or trustworthiness, are kept when plans change,” Cavalcanti told TheNextWeb. By adding this step, researchers hope that if a robot encounters an obstacle, it will consult if its originally programmed plan is still valid with the introduction of the obstacle. If it is not, the system will self update and a “trustworthiness checker” will validate the changes for safety issues. The researchers will use a combination of Deep Learning (DL) and Digital Twin (DT) — or a virtual representation of a physical object — techniques to generate the new control settings. “As the EU advances its industrial robotics capabilities, it’s imperative that measures be taken to ensure the safety and trustworthiness of the next generation of robots working alongside humans in a collaborative environment,” said Peter Gorm Larsen, a Professor in the Department of Electrical and Computer Engineering at Aarhus University, and the coordinator of the RoboSAPIENS project. “With RoboSAPIENS, we will prepare Europe’s industrial robotics industry for rapid and unforeseen adaptability in system structure and environment, assuring trustworthy collaboration with humans by changing behavior while maintaining and even enhancing performance and safety,” he added. According to a statement from the consortium, the project is already working on industrial use studies. The first empowers robots to disassemble electronic consumer waste, another aims to improve navigation predictability of autonomous water vessels. A third looks to help Autonomous Mobile Robots (AMRs) adapt to anomalies on machine shop floors, and a fourth will automatically assess risks in human-robot collaboration (cobot) situations. Consortium partners include Denmark’s Aarhus University; Aristotle University of Thessaloniki, AUTH (Greece); Danish Technological Institute, DTI (Denmark); Fraunhofer IFF, Fraunhofer (Germany); University of York, UoY (United Kingdom); University of Antwerp, UA (Belgium); Norwegian University of Science and Technology, NTNU (Norway); PAL Robotics, PAL (Spain); ISDI Accelerator, ISDI (Spain); Simula Research Lab, SRL (Norway). The RoboSAPIENS consortium isn’t the only entity working on marketing self adaptive robots safer and more efficient. Earlier this year, Google’s Deep Mind announced a series of releases related to industrial robots, including Self-Adaptive Robust Attention for Robotics Transformers (SARA-RT) which helps robots learn and perform new tasks at more efficient speeds. And last year, a team of Japanese researchers developed a learning framework to train robots to “sense” their surrounding environment, making it safer for human-robot collaboration. Industrial robots have been helping manufacture products and facilitate logistics for more than 60 years. Traditionally, these robots are very good at a specific function — for instance, going from A to B. Throw an obstacle into their work environment however — be it a physical object or a human collaborator — and severe safety hazards arise. Technology is progressing such that today’s industrial robots are being designed to be “adaptive,” meaning that they’re ​​capable of adapting to and learning from their environment, including human interactions. The big vision is that humans and automated robots will be able to interact with one another on a machine shop floor, reducing the risk involved with having humans work side by side with giant machines. In Europe, industrial robots are becoming more commonplace. Data published in 2021 from The International Federation of Robotics showed European industrial robot installations up 24% compared to 2020. And while Europe still trails the United States and China in terms of industrial robot use, the growth of EU industrial production — up 8% in 2021 and another 5% in 2022 — could drive robot adoption in factories. published growth of EU industrial production In order to better ensure that the industrial robots of the future can readily adapt to changing environments, while maintaining safe and trustworthy collaboration with humans, a group of universities, tech accelerators and private research labs from the European Union (EU) have established RoboSAPIENS . RoboSAPIENS The project, which is funded by the European Union’s Horizon Europe 2021-2027 research and innovation programme, will develop and implement safety mechanisms that will empower robots to — at a high level — safely adapt to unexpected changes. In an interview with TheNextWeb ’s Ioanna Lykiardopoulou, consortium partner Ana Cavalcanti, a professor at the University of York, said that the project aims to include a trustworthiness checker in the current Monitor-Analyze-Plan-Execute-Knowledge (MAPE-K) framework for self adaptive systems. interview TheNextWeb “What is missing here is the inclusion in the loop of a step that verifies whether certified guarantees, of safety or trustworthiness, are kept when plans change,” Cavalcanti told TheNextWeb . TheNextWeb By adding this step, researchers hope that if a robot encounters an obstacle, it will consult if its originally programmed plan is still valid with the introduction of the obstacle. If it is not, the system will self update and a “trustworthiness checker” will validate the changes for safety issues. The researchers will use a combination of Deep Learning (DL) and Digital Twin (DT) — or a virtual representation of a physical object — techniques to generate the new control settings. “As the EU advances its industrial robotics capabilities, it’s imperative that measures be taken to ensure the safety and trustworthiness of the next generation of robots working alongside humans in a collaborative environment,” said Peter Gorm Larsen, a Professor in the Department of Electrical and Computer Engineering at Aarhus University, and the coordinator of the RoboSAPIENS project. “With RoboSAPIENS, we will prepare Europe’s industrial robotics industry for rapid and unforeseen adaptability in system structure and environment, assuring trustworthy collaboration with humans by changing behavior while maintaining and even enhancing performance and safety,” he added. According to a statement from the consortium, the project is already working on industrial use studies. The first empowers robots to disassemble electronic consumer waste, another aims to improve navigation predictability of autonomous water vessels. A third looks to help Autonomous Mobile Robots (AMRs) adapt to anomalies on machine shop floors, and a fourth will automatically assess risks in human-robot collaboration (cobot) situations. Consortium partners include Denmark’s Aarhus University; Aristotle University of Thessaloniki, AUTH (Greece); Danish Technological Institute, DTI (Denmark); Fraunhofer IFF, Fraunhofer (Germany); University of York, UoY (United Kingdom); University of Antwerp, UA (Belgium); Norwegian University of Science and Technology, NTNU (Norway); PAL Robotics, PAL (Spain); ISDI Accelerator, ISDI (Spain); Simula Research Lab, SRL (Norway). The RoboSAPIENS consortium isn’t the only entity working on marketing self adaptive robots safer and more efficient. Earlier this year, Google’s Deep Mind announced a series of releases related to industrial robots, including Self-Adaptive Robust Attention for Robotics Transformers (SARA-RT) which helps robots learn and perform new tasks at more efficient speeds. And last year, a team of Japanese researchers developed a learning framework to train robots to “sense” their surrounding environment, making it safer for human-robot collaboration. announced developed

European Researchers Enhance Human-Robot Collaboration with Self-Adaptive Industrial Robots

✨ As we welcome 2024, let's take a moment to applaud the incredible stories that fueled our hacker minds in 2023! 🚀 We've compiled a 2023 roundup of the top most-read stories, top active writers, top tech categories, and even the top most popular templates. These insights might be just what you need to start the 2024 right! Pro-tip: There’s a little surprise at the end! Most Read Stories Of The Year⁠ We've compiled the 23 most-read stories from last year: it's time to give a virtual high-five to our phenomenal writers! 📚✨ 1. , by Every Game of the Year Winner in Chronological Order . Jose Hernandez https://hackernoon.com/every-game-of-the-year-winner-in-chronological-order?embedable=true , by Navigating Big Data's Potential and Privacy in Modern Medicine Viktoriia Erokhina https://hackernoon.com/navigating-big-datas-potential-and-privacy-in-modern-medicine?embedable=true , by How to Implement a Merkle Tree in Solidity Daniel Shvetsov https://hackernoon.com/how-to-implement-a-merkle-tree-in-solidity?embedable=true , by Solid Principles in Smart Contract Development Daniel Shvetsov https://hackernoon.com/solid-principles-in-smart-contract-development?embedable=true , by Android Devices in Enterprise Mobility: Navigating Key Risks Alexey Zhurba https://hackernoon.com/android-devices-in-enterprise-mobility-navigating-key-risks?embedable=true , by Profiting in Times of Crises: The Silicon Valley Bank Story Alexey Zhurba https://hackernoon.com/profiting-in-times-of-crises-the-silicon-valley-bank-story?embedable=true , by The World Is Ready for a New Type of Operating System Theo Priestley https://hackernoon.com/the-world-is-ready-for-a-new-type-of-operating-system?embedable=true , by How to Centre an Element in CSS with Tailwind Jonathon Simpson https://hackernoon.com/how-to-centre-an-element-in-css-with-tailwind?embedable=true by Smart Contract Optimization: How to Use Less Gas in Ethereum Daniel Shvetsov https://hackernoon.com/smart-contract-optimization-how-to-use-less-gas-in-ethereum?embedable=true , by The Potential Impact of the Metaverse on Education Lomit Patel https://hackernoon.com/the-potential-impact-of-the-metaverse-on-education?embedable=true by The 7 Software Architecture Books Experienced Developers Need to Read Javin Paul https://hackernoon.com/the-7-software-architecture-books-experienced-developers-need-to-read?embedable=true by 13 Best Datasets for Power BI Practice Datasets https://hackernoon.com/13-best-datasets-for-power-bi-practice?embedable=true , by Coding: The Universal Language You Must Learn Lomit Patel https://hackernoon.com/coding-the-universal-language-you-must-learn?embedable=true , by Portfolio Optimization with Python and Quantum Computing Techniques Dmitrii Abramov , by Validate Binary Search Tree: Blind 75 LeetCode Question Ruslan Rakhmedo by 15 Excel Datasets for Data Analytics Beginners Datasets , by Introducing Drag-Your-GAN: Drag Objects to Create New Images Louis-François Bouchard , by How to Design a Messaging Service in Your 45-Minute System Design Interview Leonid Zemenkov by How to Fix Android Not Receiving Verification Texts Error Manmohan Singh , by I Conducted Experiments with the Alpacallama-7B Language Model: Here Are the Results Zheng "Bruce" Li , by Unveiling the Power of PM and P3M Algorithms on GPUs Alexey Ozeritskiy by How to Create a Solar System in JavaScript with Three.js Daniel Shvetsov , by Facilitating Team Development in a High-Pressure Environment Anton Rysin Use to share writing tips with the HackerNoon community! this template Most Active Writers Of The Year And now, let's cheer for the movers and shakers of 2023 – some of our most active writers, the ones who never let their keyboards gather dust and kept us hooked with the hottest info on the web. Let’s give it up to: Ishan Pandey Ulrik Lykke Andrey Didovskiy ZeroRequiem Mike Young Shai Almog Obyte Nicolas Fränkel Marcin Wosinek Frank Z Most Popular Tech Categories in 2023 Some Tech Categories really got you going - let’s take a look at the top ten of 2023: : This category resounds popular, accounting for 37% of all reads! Programming [Write a programming story with .] this template : The second runner-up drops to 16% of all reads on HackerNoon - a significant decrease but still huge in readers’ interest. Machine-learning [Tell us what they don’t say about AI/ML with ] this template : The third place earned 13% of the whole audience readership! Web3 [Discuss Web3’s future with ] this template : Just a little bit behind, Tech Stories accounts for 12% of all reads. Tech Stories [Tell us the last thing you learned with ] this template : Now, for the second noteworthy drop: Gaming accounts for almost 5% of all reads; though significantly lower, it still encompasses 565,728 reads! Gaming [Review a game with ] this template : This category accounts for 3,82% of all reads. Cloud [Write a Cloud story with ] this template : A short distance behind, we have the Cybersecurity category, representing 3,70% of all reads. Cybersecurity [Tell us how you got into Cybersecurity story with ] this template : With 3,55%, Data Science holds the 8th place on this list. Data Science [Write about Data with ] this template : This category holds 3,26% of all readership! Futurism [Discuss the Future of Tech with ] this template : Last but not least, the business category contains 3,09% of all readership, which breaks down to 377,215 reads. Business [Tell us about your Business with ] this template Most Popular Writing Templates in 2023 HackerNoon writing templates are at your disposal at all times, but you clearly had some favorites: Meet The Writer Web Development Web3 General Interview Write a Hackernoon Top Story Writer Versus Blank Page Everyone Should Know About It Describe Your Life Hacks Thank you all for the words you shared with HackerNoon 💚 We couldn’t have done it without you! If you didn’t see your name up on this list, don’t get discouraged - you’re on our personal favorites list for sure 🤗 And you add “reach a wider audience” or “become a more productive writer” to your 2024 resolutions. You have what it takes to smash your goals and we’ll keep feeding you the tips you need to get there, right here, in your inbox 📧 Surprise Time! HackerNoon is partnering with the 2024 editions of , , and , and we have three (3) tickets to offer! CXO 2.0 Conference Marketing 2.0 Conference Internet 2.0 Conference The 2.0 Conferences explore the future of , tools and insights to excel in today's landscape, and draw innovative minds from around the world. They’ll be taking place from February 20th to 22nd in Dubai and from March 18th to 20th in Las Vegas. #leadership #marketing Find out more about the event here. Curious? Email to express your interest - the lucky winners will be revealed in the next writers’ note. monica@hackernoon.com Happy 2024!

Unveiling the Best of 2023: Top Stories, Writers, Tech Categories, and Templates! 📚

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CLASSIFICATION OF FUELS

In an anticipated move, the U.S. Federal Reserve held interest rates steady for this month with the Fed also providing some information on their future guidance of markets. The Markets No Longer Expect Rate Cuts Following the press release, the Fed futures are no longer anticipating rate cuts before September 2024. To put this in perspective, just three months ago there was a consensus that we would see up to four rate cuts this year alone. In summary, the message remains crystal clear: Elevated interest rates are here to stay. Inactive Bitcoin Supply at All-time-highs While the on-chain for has dropped significantly, investors with strong convictions are seemingly increasing their BTC exposure and holding on. BTC Data from Coingecko that an impressive 69.06% of Bitcoin-related addresses have held their BTC for more than a year. To add to it, the current amount of BTC stashed on exchanges is slightly above 2 million, a significant drop from the 2021 bull market highs. indicates Noteworthy Mentions Crypto Remittances’ Increasing Role in Global Money Transfers Remittances are a fundamental economic pillar in many developing countries around the world. However, with existing hurdles such as limited transfer options and high costs, sending remittances across borders can sometimes be challenging. Our latest research article at Bitcoin Global Macro explores how cryptocurrencies are this landscape. transforming Industry Shakers Citigroup Unveils Token Services for Institutional Clients Citigroup announced on Monday that it has initiated a service that utilizes blockchain and smart contracts to tokenize cash management and trade financing for its institutional clientele. These smart contracts function equivalently to traditional bank assurances and letters of credit, as described by the bank. In a recent trial, Citigroup collaborated with shipping giant Maersk and a canal agency to streamline operations typically bogged down by extensive paperwork and manual methods. US lawmakers advance legislation blocking the digital dollar The U.S. House Financial Services Committee is advancing a bill designed to restrict the launch of a digital currency by the central bank. Among the proposed legislation is the H.R. 3712, referred to as the Digital Dollar Pilot Prevention Act. This act mandates that the Federal Reserve obtain Congressional consent before beginning any trial runs for CBDCs. Additionally, the Fed has recently clarified that it hasn't made a determination on releasing a CBDC and would only consider such a move if sanctioned by a legal directive. Deutsche Bank to offer crypto custody for institutional clients Last week, Taurus, a cryptocurrency company based in Switzerland, announced a collaboration with Deutsche Bank to offer storage solutions for digital assets and tokenized versions of conventional financial instruments for institutional customers. A representative from Deutsche Bank confirmed that this alliance marks the institution's inaugural venture into holding a select range of digital currencies and tokenized assets for its client base. Grayscale files for ether futures ETF Grayscale is entering the race to launch an exchange-traded fund (ETF) based on ether futures. This proposed ETF, centered around ether futures, represents another avenue for Grayscale to gain ether exposure while they await a verdict on their Bitcoin ETF application. The application specifies that the ETF is dedicated solely to ether futures, emphasizing that there will be no direct ether transactions, nor will there be a need for an ether custodian. Also published here. Follow me on Twitter/X I’ve started to become a lot more active on so if you want to follow my daily blurbs about investments and markets you should follow me Twitter/X Ulrik Lykke on X

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