在這個紛爭不斷的時代，一個共同的信念卻將爭吵不休的世界領導人連結在一起：歐洲人軟弱又令人厭煩。我們解釋了為什麼這種對歐洲的嘲諷有些過頭了 https://econ.st/4qaKHUm… 看更多 In a discordant age, one belief unites squabbling world leaders: Europeans are weak and annoying. We explain why such Euro-derision is overdone https://econ.st/4qaKHUm…… 查看更多
Armed with smartwatches, home internet appliances, and an endless supply of apps, games, and streaming services, billions of us now spend our days and nights enmeshed in webs of digital sensors, machine learning algorithms, and overlapping information networks, all designed to reduce the minutiae of our lives into discrete data. As governments and corporations grasp at this data, Aram Sinnreich and Jesse Gilbert's book "The Secret Life of Data" offers a kaleidoscopic view of the industries and technologies that collect, mine, churn, and trade our data, and what to do about them.
This book—winner of the 2025 Association of Internet Researchers Nancy Baym Annual Book Award—demonstrates how readers can play an active part in shaping how digital technology influences their lives and the world at large: https://bit.ly/4jWkA1T
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飛車 量子電腦 核融合
幾十年來，這些技術似乎遙不可及，而且永遠都會如此。但現在，對於投資人和客戶而言，未來已至。
For decades these technologies seemed like they were just years away—and always would be. But now, for investors and customers, the future has arrived https://econ.st/4……
1900 — Max Planck introduces the quantum hypothesis while explaining blackbody radiation, proposing that energy is emitted in discrete units called quanta. This marks the origin of quantum theory.
1905 — Albert Einstein explains the photoelectric effect using light quanta (photons), providing strong evidence for the particle nature of light.
1913 — Niels Bohr proposes a model of the atom with quantized electron orbits, successfully explaining the hydrogen spectrum.
1924 — Max Born introduces the term Quantenmechanik (‘quantum mechanics’) in his paper ‘Über Quantenmechanik’ (Z. Phys., Dec 1924). At this stage, the term referred broadly to emerging quantum ideas rather than to a fully developed formal theory.
1924 — Louis de Broglie introduces the concept of wave–particle duality for matter, suggesting that particles such as electrons also exhibit wave-like behavior.
1925 — Werner Heisenberg, together with Max Born and Pascual Jordan, formulates matrix mechanics, the first core mathematical formulation of quantum mechanics.
1925 — Wolfgang Pauli introduces the Pauli exclusion principle, explaining atomic structure, the periodic table, and the stability of matter.
1926 — Erwin Schrödinger develops wave mechanics and the Schrödinger equation.
1926 — Max Born introduces the probabilistic interpretation of the wavefunction.
1926 — Oskar Klein and Walter Gordon independently formulate the Klein–Gordon equation, an early relativistic wave equation consistent with special relativity. Initially explored in connection with the electron, the equation was later understood to correctly describe spin-0 particles, highlighting the necessity of incorporating spin into relativistic quantum theory.
1927 — Heisenberg formulates the Uncertainty Principle, establishing fundamental limits on the simultaneous determination of conjugate variables. In the same period, Niels Bohr articulates the principle of complementarity. Together, these ideas strongly influence what later became known as the Copenhagen interpretation.
1927 — Wolfgang Pauli introduces the spin formalism (Pauli matrices), laying the foundation for the quantum description of spin-½ particles.
1927 — John von Neumann develops the rigorous mathematical foundations of quantum mechanics, formulating the theory in terms of Hermitian operators acting on states in Hilbert space, and establishing a consistent framework for observables and measurement.
1928 — Paul Dirac formulates a relativistic quantum theory of the electron (Dirac equation), predicting the existence of antimatter.
1932 — Carl D. Anderson experimentally discovers the positron, confirming Dirac’s prediction.
1935 — Einstein, Podolsky, and Rosen present the EPR paradox, questioning the completeness of quantum mechanics.
1935 — Erwin Schrödinger introduces the concept of quantum entanglement and proposes the famous “Schrödinger’s cat” thought experiment to illustrate quantum superposition at macroscopic scales.
1940s–1950s — Quantum Electrodynamics (QED) is developed by Richard Feynman, Julian Schwinger, Sin-Itiro Tomonaga, and Freeman Dyson, achieving unprecedented agreement between theory and experiment.
1964 — John Bell derives Bell’s inequalities, enabling experimental tests of quantum nonlocality.
1980s–1990s — A series of increasingly refined experiments, beginning with those of Alain Aspect and collaborators, provide strong empirical support for the quantum mechanical predictions of entanglement and nonlocal correlations.
1980 — Paul Benioff proposes a fully quantum-mechanical model of a Turing machine, demonstrating that computation itself can be formulated within quantum mechanics.
1981 — Richard Feynman proposes the idea of quantum simulation, laying conceptual foundations for quantum computing.
1994 — Peter Shor develops a quantum algorithm that factors integers exponentially faster than known classical algorithms, demonstrating a clear computational advantage of quantum computers.
2000s–2010s — Rapid advances occur in quantum information science, leading to experimental progress in quantum computing, communication, and precision measurement.
2020–2025 — Rapid progress occurs in quantum technologies, including quantum error correction, logical qubits, quantum sensing, and large-scale experimental platforms.
In 1900, Max Planck introduced the quantum hypothesis, marking the birth of quantum theory. By the mid-1920s, the core mathematical framework of modern quantum mechanics was established.
The year 2025 therefore marks 125 years since the birth of quantum theory, 100 years since the formulation of modern quantum mechanics, and is officially the UN 𝘐𝘯𝘵𝘦𝘳𝘯𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘠𝘦𝘢𝘳 𝘰𝘧 𝘘𝘶𝘢𝘯𝘵𝘶𝘮 𝘚𝘤𝘪𝘦𝘯𝘤𝘦 𝘢𝘯𝘥 𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 — the global "𝘠𝘦𝘢𝘳 𝘰𝘧 𝘘𝘶𝘢𝘯𝘵𝘶𝘮"!
(: 10 of the most influential figures in the history of quantum mechanics. Left to right: 𝘔𝘢𝘹 𝘗𝘭𝘢𝘯𝘤𝘬, 𝘈𝘭𝘣𝘦𝘳𝘵 𝘌𝘪𝘯𝘴𝘵𝘦𝘪𝘯, 𝘕𝘪𝘦𝘭𝘴 𝘉𝘰𝘩𝘳, 𝘓𝘰𝘶𝘪𝘴 𝘥𝘦 𝘉𝘳𝘰𝘨𝘭𝘪𝘦, 𝘔𝘢𝘹 𝘉𝘰𝘳𝘯, 𝘗𝘢𝘶𝘭 𝘋𝘪𝘳𝘢𝘤, 𝘞𝘦𝘳𝘯𝘦𝘳 𝘏𝘦𝘪𝘴𝘦𝘯𝘣𝘦𝘳𝘨, 𝘞𝘰𝘭𝘧𝘨𝘢𝘯𝘨 𝘗𝘢𝘶𝘭𝘪, 𝘌𝘳𝘸𝘪𝘯 𝘚𝘤𝘩𝘳ö𝘥𝘪𝘯𝘨𝘦𝘳, 𝘙𝘪𝘤𝘩𝘢𝘳𝘥 𝘍𝘦𝘺𝘯𝘮𝘢𝘯. Physics Archives)
IBM 開發出一款擁有超過 1000 個量子位元的量子處理器，這是朝向實用量子運算的巨大一步。量子位元可以同時表示 0 和 1，其運算速度比超級電腦快指數級。這項突破可望徹底改變藥物研發、材料科學和金融建模等領域。
IBM created a quantum processor with over 1,000 qubits, a massive leap toward practical quantum computing. Qubits can represent 0 and 1 simultaneously, performing calculations exponentially faster than supercomputers. This breakthrough could revolutionize drug discovery, material science, and financial modeling.
前幾周讀過AMAZON 創始人提的構想.....
蔡宜兼翻譯：未來的資料中心除了地面外，可能會在太空。
《Wccftech》：
『NVIDIA 的 AI 晶片即將首次在「外太空」亮相，因為 AI 新創公司 Starcloud 計劃在地球外發射資料中心，並聲稱這將帶來巨大的收益。
NVIDIA團隊在一篇專門的部落格文章中提到了Starcloud ，慶祝該公司即將發射的衛星。此次發射將採用部署在60公斤重的Starcloud-1衛星上的H100 AI GPU。據稱，該發射裝置的運算能力比任何其他太空作業「高出100倍」。有趣的是，NVIDIA聲稱，透過這種方法，他們可以獲得“無限的太陽能”，而深空資料中心將不再依賴外部電池。 Green團隊也找到了解決所有冷卻問題的方案，那就是利用深空真空。
Starcloud 是 NVIDIA 新創加速計畫的一部分，該計畫旨在賦能新創企業，並將它們與 Team Green 的專家聯繫起來。該公司執行長 Philip Johnston 預測，未來十年內，幾乎所有資料中心都將建在外太空，這意味著人們對這一領域的興趣日益濃厚。當然，在陸地上部署大型人工智慧工廠存在局限性；因此，Starcloud 的努力值得我們稱之為「打破常規」。然而，如果「太空」資料中心成為下一個熱門話題，我們相信伊隆馬斯克不會落後。』
這場在烏克蘭上空展開的無人機攻防，實質上已演變為一場「算力軍備競賽」。誰的 AI 演算法更優秀？誰的晶片運算速度更快？誰能以更低成本部署更龐大的自主化防禦網路？這些問題的答案，將直接決定戰場的制空權。二十一世紀的戰爭，不再是單純的意志與鋼鐵的較量。戰場的天平，正倒向掌握更優越演算法與更強大算力的一方。
1004
NVIDIA Powers Europe’s Fastest Supercomputer
NVIDIA Grace Hopper Platform Boosts Simulation and Training on Jülich’s JUPITER Supercomputer to Drive Europe’s Scientific Breakthroughs at Exascale Speed
June 10, 2025
ISC—NVIDIA today announced that the JUPITER supercomputer, powered by the NVIDIA Grace Hopper™ platform, is the fastest in Europe — delivering a more than 2x speedup for high-performance computing and AI workloads compared with the next-fastest system.
Soon capable of running 1 quintillion FP64 operations per second, JUPITER is on track to be Europe’s first exascale supercomputer. The system enables faster simulation, training and inference of the largest AI models — including for climate modeling, quantum research, structural biology, computational engineering and astrophysics — empowering European enterprises and nations to drive scientific discovery and innovation.
Among the top five systems on the TOP500 list of the world’s fastest supercomputers, JUPITER is the most energy efficient, at 60 gigaflops per watt.
Comprising nearly 24,000 NVIDIA GH200 Grace Hopper Superchips and interconnected with the NVIDIA Quantum-2 InfiniBand networking platform, JUPITER is expected to reach over 90 exaflops of AI performance and is based on Eviden’s BullSequana XH3000 liquid-cooled architecture.
JUPITER also incorporates NVIDIA’s full stack of software for optimized performance.
“AI will supercharge scientific discovery and industrial innovation," said Jensen Huang, founder and CEO of NVIDIA. “In partnership with Jülich and Eviden, we’re building Europe’s most advanced AI supercomputer to enable the leading researchers, industries and institutions to expand human knowledge, accelerate breakthroughs and drive national advancement.”
Built for Scientific Breakthroughs Hosted by the Jülich Supercomputing Centre at the Forschungszentrum Jülich facility in Germany, JUPITER is owned by the EuroHPC Joint Undertaking.
“With JUPITER’s extreme performance, Europe has taken a giant leap into the future of science, technology and sovereignty,” said Anders Jensen, executive director of the EuroHPC Joint Undertaking. “JUPITER’s computing power will serve as a catalyst for scientific discovery, propelling foundational research across the continent in fields as diverse as climate modeling, energy systems and biomedical innovation.”
“JUPITER is a landmark achievement for European science and technology,” said Thomas Lippert, codirector of the Jülich Supercomputing Centre. “Powered by NVIDIA’s accelerated computing and AI platforms, JUPITER is advancing the frontier of foundation model training and high-performance simulation, enabling researchers across Europe to tackle challenges of unprecedented complexity.”
“JUPITER will substantially advance quantum algorithm and hardware development,” added Kristel Michielsen, codirector of the Jülich Supercomputing Centre. “Hybrid quantum HPC-computation will profit from powerful tools such as the NVIDIA CUDA-Q platform and the NVIDIA cuQuantum software development kit.”
“JUPITER’s launch is not just an extraordinary technical success — delivering an exascale machine and Julich’s modular data center in less than nine months — it marks a pivotal moment for European high-performance computing,” said Emmanuel Le Roux, senior vice president and global head of advanced computing at Eviden, Atos Group. “It clearly demonstrated the technological leadership of the European Eviden-led consortium, which designed, built and delivered this world-class system.”
Early testing of JUPITER was conducted with the Linpack benchmark, which was also used to determine the TOP500 ranking.
The JUPITER supercomputer represents a new generation of computing systems, uniting NVIDIA’s end-to-end software stack to solve challenges in areas including:
Climate and weather modeling: Enables high-resolution, real-time environmental simulations and visualization, using the NVIDIA Earth-2 open platform. This contributes to global community initiatives like the Earth Virtualization Engines project, which aims to create a digital twin of the Earth to better understand and address climate change.
Quantum computing research: Advances quantum algorithm and hardware development with powerful tools such as the NVIDIA CUDA-Q™ platform and the NVIDIA cuQuantum software development kit.
Computer-aided engineering: Reinvents product design and manufacturing through AI-driven simulation and digital twin technologies, powered by the NVIDIA PhysicsNeMo™ framework, NVIDIA CUDA-X™ libraries and the NVIDIA Omniverse™ platform.
Drug discovery: Streamlines the creation and deployment of AI models vital to pharmaceutical research through the NVIDIA BioNeMo™ platform, accelerating time to insight in biomolecular science and drug discovery.
藥物研發：透過 NVIDIA BioNeMo™ 平台簡化對藥物研究至關重要的 AI 模型的創建和部署，從而加快生物分子科學和藥物研發的洞察速度。
德國和其他歐洲研究人員可以申請訪問 JUPITER。
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plover's eggs 鴴蛋 Jupiter, Roman king of the gods, seduced Alcmene by disguising himself as her husband, Amphitryon,「美麗、美酒、有趣的玩笑和新鮮的鴴蛋的重要性」是主要人物的核心動機--伊芙琳·沃 1945 年的小說《故園風雨後Brideshead Revisited》
Jupiter, Roman king of the gods, seduced Alcmene by disguising himself as her husband, Amphitryon, while Amphitryon was away at war. This illicit union resulted in the birth of the hero Herakles (Hercules). The myth explores themes of deception and the complex relationship between humans and gods, and Amphitryon's return home leads to confusion and suspicion before the truth is revealed.
Key elements of the myth:
Jupiter (Zeus): The king of the gods, known for his romantic entanglements and love of mortal women.
Alcmene: A mortal princess, wife of Amphitryon, chosen by Jupiter for her beauty and virtue.
Amphitryon: Alcmene's husband, a respected general.
The deception: Jupiter, in the form of Amphitryon, visits Alcmene, prolonging the night to three times its normal length.
The birth of Herakles: Alcmene becomes pregnant with Herakles, a son of both Jupiter and Amphitryon.
Confusion and revelation: When Amphitryon returns, he encounters both his wife and a servant who claim he has already been there. Eventually, Jupiter reveals his divine nature to Alcmene and her husband.
Themes in the story:
Deception: A central theme is the deception of Alcmene and, to some extent, the confusion experienced by Amphitryon.
Divine intervention: The story highlights the interference of the gods in human affairs.
The power of fate: The events lead to the birth of Herakles, destined for greatness.
This ancient Greek myth has inspired various artistic and literary works, including plays by Plautus, Molière, and Kleist, often focusing on the humor and complexity of the mistaken identity and the consequences for the mortal characters.
AI Overview
Jupiter, god of the sky, visited Alcmene, wife of the mortal hero Amphitryon, by disguising himself as her husband, leading to the birth of Heracles. While Amphitryon was away at war, Jupiter extended the night to three days and nights, after which the actual Amphitryon returned home, creating confusion and suspicion. The story highlights deception and the divine intervention in human lives, serving as the foundation for the myths surrounding the hero Heracles.
The Deception
Jupiter's Trickery:
Jupiter, who was enamored with Alcmene, took on the appearance of her husband, Amphitryon, to be with her.
Extended Night:
To maximize his time with Alcmene, Jupiter made the night last for three days and nights.
The Return of Amphitryon:
When the real Amphitryon returned from battle, Alcmene was confused by his early arrival and presence, leading to suspicion and conflict.
The Birth of Heracles
Divine Intervention:
Jupiter revealed his true identity to Alcmene, explaining that their union would produce a son who would be named Heracles.
A Hero's Origin:
The child born from this divine union was Heracles, one of the most famous heroes in Greek mythology.
Literary and Artistic Significance
Dramatizations:
The story of Amphitryon, Alcmene, and Jupiter has been a popular subject in literature and theater, notably in the plays by Plautus, Molière, and Heinrich von Kleist.
Themes of Identity and Deception:
These works often explore themes of mistaken identity, the nature of truth, and the consequences of deception.
