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Trending:
- DARPA Moon Infrastructure
- Google’s New AI Compute Power
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DARPA Moon Infrastructure:
- DARPA (Defense Advanced Research Projects Agency), the U.S. Department of Defense’s R&D arm, has initiated the LunA-10 study, selecting 14 companies to develop technological frameworks for a future lunar economy. "Lunar," in this context, refers to anything related to the Moon.
- The selected companies, including major aerospace firms like Blue Origin, Firefly Aerospace, ICON, Nokia of America, Northrop Grumman, Redwire Corporation, Sierra Space, and SpaceX, along with emerging space startups such as CisLunar Industries, Crescent Space Services LLC, Fibertek, Inc., Gitai, Helios, and Honeybee Robotics, will collaboratively design solutions for vital lunar services over a seven-month period.
- These services encompass logistics, construction, communications, in-situ resource utilization, positioning, navigation and timing (PNT), mobility, transit, and robotics. The goal of this study is not just to create isolated technological demonstrations but to build an integrated, interoperable framework that will support a diverse and thriving commercial presence on the Moon.
Google’s New AI Compute Power:
- Google has recently announced two major advancements in AI technology: the Cloud TPU v5p and the AI Hypercomputer. The Cloud TPU v5p is a highly powerful and scalable AI accelerator, designed to significantly enhance the training and operation of AI models. This latest TPU model is a leap forward in Google's AI technology, providing greater speed and efficiency compared to its predecessors. Alongside the Cloud TPU v5p, Google introduced the AI Hypercomputer, a groundbreaking supercomputer architecture.
- This new system combines performance-optimized hardware with open software and leading machine learning frameworks. It is designed to efficiently handle demanding AI workloads, optimizing the entire AI stack from hardware to software. This holistic approach in the AI Hypercomputer aims to streamline AI training, tuning, and serving processes, offering a more integrated and effective solution for AI development and deployment.
Statistic:
Largest insurance companies by market capitalization:
- 🇺🇸 UnitedHealth: $508.49B
- 🇺🇸 Elevance Health: $112.30B
- 🇩🇪 Allianz: $102.77B
- 🇺🇸 Marsh & McLennan Companies: $96.47B
- 🇺🇸 Progressive: $94.28B
- 🇭🇰 AIA: $93.13B
- 🇨🇳 China Life Insurance: $92.29B
- 🇨🇭 Chubb: $90.94B
- 🇨🇳 Ping An Insurance: $90.87B
- 🇺🇸 Cigna: $75.73B
- 🇨🇭 Zurich Insurance Group: $74.91B
- 🇫🇷 AXA: $72.67B
- 🇬🇧 Aon: $64.89B
- 🇺🇸 Humana: $59.29B
- 🇮🇳 Life Insurance Corporation of India (LIC): $58.56B
- 🇩🇪 Munich RE (Münchener Rück): $57.32B
- 🇺🇸 Arthur J. Gallagher & Co.: $52.02B
- 🇯🇵 Tokio Marine: $50.71B
- 🇺🇸 MetLife: $47.43B
- 🇺🇸 American International Group: $46.00B
- 🇺🇸 The Travelers Companies: $41.39B
- 🇺🇸 Centene: $39.40B
- 🇺🇸 Allstate: $36.45B
- 🇺🇸 Prudential Financial: $36.41B
- 🇨🇦 Manulife Financial: $36.29B
- 🇨🇭 Swiss Re: $32.46B
- 🇮🇹 Generali: $31.76B
- 🇬🇧 Prudential: $31.04B
- 🇨🇦 Great-West Lifeco: $30.10B
- 🇨🇦 Sun Life Financial: $30.06B
- 🇧🇲 Arch Capital: $29.59B
- 🇩🇪 Hannover Rück: $28.37B
- 🇨🇦 Intact Financial: $27.60B
- 🇨🇳 China Pacific Insurance: $27.48B
- 🇨🇳 The People's Insurance Company (PICC): $27.08B
- 🇧🇪 KBC: $25.09B
- 🇬🇧 Willis Towers Watson: $25.05B
- 🇺🇸 The Hartford: $23.54B
- 🇫🇮 Sampo: $22.16B
- 🇺🇸 Molina Healthcare: $21.43B
- 🇯🇵 Dai-ichi Life Holdings: $21.13B
- 🇺🇸 Brown & Brown: $21.10B
- 🇹🇼 Cathay Financial Holding: $20.91B
- 🇯🇵 MS&AD Insurance: $20.56B
- 🇩🇪 Talanx: $18.75B
- 🇺🇸 W. R. Berkley: $18.39B
- 🇨🇭 Swiss Life: $18.35B
- 🇺🇸 Markel: $18.16B
- 🇺🇸 Principal: $17.91B
- 🇮🇳 SBI Life Insurance: $17.58B
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