Risenshine! Here is digest of signals harvested on 2026-09-24.
Markets
International - 09/24
Germany (EWG):
0%  -5.8043% MoM
France (EWQ):
+0.2063%  -6.8003% MoM
United Kingdom (EWU):
+0.1487%  -4.5151% MoM
Italy (EWI):
-0.0667%  -4.8873% MoM
Italy (EWI):
-0.0667%  -4.8873% MoM
Spain (EWP):
+0.7125%  -3.753% MoM
Netherlands (EWN):
+0.3419%  -2.7798% MoM
Chile (ECH):
-1.5412%  -7.0372% MoM
Belgium (EWK):
+0.2271%  -4.3007% MoM
Germany (EWD):
-0.4871%  -6.035% MoM
Australia (EWO):
+0.1842%  -1.0237% MoM
China Large-Cap (FXI):
-0.3492%  -3.712% MoM
Japan (EWJ):
-1.2777%  +0.1882% MoM
India (INDA):
-1.0198%  -5.3155% MoM
Taiwan (EWT):
+0.5156%  +7.2865% MoM
Hong Kong (EWH):
+0.2677%  -3.1466% MoM
Singapore (EWS):
-0.18%  -2.8329% MoM
Indonesia (IDX):
-1.3477%  -5.9932% MoM
Malaysia (EWM):
+0.3618%  -3.513% MoM
Saudi Arabia (KSA):
-0.8067%  -6.0367% MoM
Arab Emirates (UAE):
+0.2981%  +4.0722% MoM
Qatar (QAT):
-0.2378%  -2.5552% MoM
Israel (EIS):
-1.666%  +0.0244% MoM
Kuwait (KWT):
+0.5821%  -1.6162% MoM
Africa (AFK):
-0.4536%  -4.4221% MoM
Commodities - 09/24
gold (GLD):
-0.3029%  -8.4986% MoM
silver (SLV):
-0.9285%  -7.5417% MoM
US oil (USO):
+2.8623%  +21.3555% MoM
platinium (PPLT):
+0.0629%  -5.694% MoM
agriculture (DBA):
0%  +0.9547% MoM
carbon (KRBN):
+1.0401%  -2.9957% MoM
copper (CPER):
+0.0985%  -0.2699% MoM
gaz (UNG):
+6.2557%  +12.9032% MoM
corn (CORN):
-0.4049%  +0.4594% MoM
weat (WEAT):
-0.4283%  -0.2341% MoM
uranium (URA):
-2.6911%  -15.1226% MoM
lithium (LIT):
-1.0923%  -10.1449% MoM
Favorites - 09/24
Adobe (ADBE):
-0.7312%  -12.7738% MoM
AMD (AMD):
+2.3836%  +31.3202% MoM
Microsoft (MSFT):
-0.5314%  +1.265% MoM
Nvidia (NVDA):
-0.4124%  +5.4119% MoM
Oracle (ORCL):
-3.4726%  -3.606% MoM
Axon (AXON):
-1.245%  -27.437% MoM
Amazon (AMZN):
+0.0441%  -4.4741% MoM
Alibaba (BABA):
-0.1534%  -7.3761% MoM
JD (JD):
-1.5096%  -8.8896% MoM
ARM (ARM):
-7.8843%  +26.8174% MoM
Intel (INTC):
+3.907%  +45.6219% MoM
Qualcom (QCOM):
-1.5108%  +20.989% MoM
Marvel (MRVL):
-0.7474%  +7.7253% MoM
Apple (AAPL):
-0.3264%  +8.3963% MoM
Lowe (LOW):
-1.4998%  -12.1668% MoM
Sectors - 09/24
SP500 (SPY):
-0.0821%  +0.1658% MoM
healthcare (XLV):
+0.6339%  -3.092% MoM
finance (XLF):
-0.0183%  -6.4826% MoM
real-estate (XLRE):
-0.4541%  -8.179% MoM
semi-conductors (SOXX):
+0.0619%  +10.1175% MoM
aerospace (ITA):
-0.5423%  -9.1933% MoM
reit (RWR):
-0.0094%  -7.7811% MoM
transportation (XTN):
-1.2624%  -8.5693% MoM
agriculture (MOO):
-1.1505%  -1.8952% MoM
clean energy (QCLN):
-2.0309%  -3.3654% MoM
Gainers
Palladyne AI Corp Warrants +150%
Palladyne AI Corp is a software company focused on autonomy for robotic systems and solutions. Its artificial intelligence and machine learning software seeks to revolutionize the ...
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Greenland Energy Company Warrant +125.1%
Greenland Energy Co is an exploration-stage oil and gas company focused on the development and advancement of its exploration activities in Greenland. The company has not generated...
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Losers
Japer Therapeutics, Inc. Warrants -84.6%
Jasper Therapeutics Inc is a clinical-stage biotechnology company focused on developing therapeutics targeting mast cell driven diseases such as Chronic Spontaneous Urticaria (CSU)...
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Algoma Steel Group Inc. Warrant -61.5%
Algoma Steel Group Inc is a fully integrated steel producer of hot and cold rolled steel products, including coiled sheet and plate, strategically located. The firm operates in a s...
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Business
Analyzing the impact of recent U.S. and China subsea cable investments on Southeast Asian digital infrastructure and geopolitical relations
In the news:
🗺 Background:
  • The U.S. and China have escalated investments in subsea cable networks linking Southeast Asia, reflecting their competition for influence over global internet infrastructure.
  • Southeast Asia's digital economy is projected to surpass $300 billion by 2025, increasing the region's demand for robust and secure data connectivity.
  • Subsea cables carry about 99% of international data traffic, making them critical infrastructure for economic growth, cloud services, and government operations.
  • The U.S. has previously blocked certain Chinese cable projects, citing national security risks and concerns over data sovereignty.
🎩 Key stakeholders:
  • Key U.S. companies involved include Google, Meta, and Amazon, which invest in major cable consortia for faster Asian connectivity.
  • Chinese firms such as HMN Tech (formerly Huawei Marine Networks) and China Mobile drive Beijing's cable expansion initiatives.
  • Southeast Asian nations—such as Indonesia, Singapore, and the Philippines—are central landing points and regulators for these subsea routes.
  • The U.S. Federal Communications Commission (FCC) and China’s Ministry of Industry and Information Technology are important regulatory players.
💡 News facts:
➡ Potential consequences:
  • U.S.-backed cables may lead to competing digital infrastructures in Southeast Asia, creating parallel networks with differing security standards.
  • China’s increased control over regional cables could prompt stricter security policies by ASEAN governments and affect cross-border data flows.
  • Rival cable investments heighten the risk of geopolitical fracture in internet governance, with Southeast Asian countries pressured to align with either U.S. or Chinese standards.
  • Medium-term, fragmentation may drive up costs for regional tech companies and reduce efficiency of cross-border digital trade.
Top Voices:
On Wikipedia: https://www.reuters.com/technology/americas-seax1-cable-secures-asean-access-amid-china-tech-tensions-2026-09-24/  https://www.bloomberg.com/news/articles/2026-09-24/china-completes-new-undersea-cable-linking-to-southeast-asia  https://asia.nikkei.com/Business/Technology/Singapore-approves-Google-Meta-Echo-cable-infrastructure-2026-09-24  
Evaluating how falling oil prices and diplomatic moves with Iran are shaping global financial markets in late 2026
In the news:
🗺 Background:
  • The 2026 Iran war triggered the closure of the Strait of Hormuz, cutting off up to 20% of global seaborne oil trade starting in early March 2026.
  • Crude oil prices surged above $100 per barrel and Brent reached $104.61 on 11 September 2026, setting new records since early 2022.
  • Major disruptions targeted oil and LNG infrastructure across the Gulf, especially affecting Qatar, Saudi Arabia, Iraq, the UAE, Bahrain, and Iran itself.
  • Financial markets reacted with sharp swings, as the crisis forced a global re-pricing of oil, inflation, and growth expectations.
🎩 Key stakeholders:
  • The United States and Iran are central actors, with market consensus that the crisis will persist through President Trump's term ending January 2029.
  • Major oil companies (e.g., Saudi Aramco, QatarEnergy, ExxonMobil) and OPEC+ are deeply impacted by supply disruptions and price volatility.
  • Key institutions include the International Energy Agency (IEA), the U.S. Federal Reserve, the European Central Bank, and the IMF.
  • Asia-Pacific economies including China, Japan, South Korea, Taiwan, and India are most exposed due to their reliance on Middle Eastern energy imports.
💡 News facts:
➡ Potential consequences:
  • Near-term: Stagflation risk is rising, with global inflation accelerating—IEA and IMF warn a sustained 10% oil price rise could add 0.4 percentage points to world inflation and cut GDP by 0.2%.
  • Shipping costs and security risks in global energy supply chains have soared, pushing war-risk insurance to historic highs and constraining Asian and European economies.
  • Medium-term: If the supply disruption endures, global equity and bond markets may face protracted volatility, and the U.S. dollar might strengthen further, tightening financial conditions worldwide.
  • Central banks are caught between resisting inflation and fostering economic growth, reducing the likelihood of policy rate cuts for the remainder of 2026.
Top Voices:
On Wikipedia: https://www.iea.org/reports/oil-market-report-september-2026  https://discoveryalert.com/analysis/us-iran-war-oil-prices-september-2026/  https://www.tmgm.com/en/analysis/market-insight/iran-us-war-on-global-financial-markets  https://maseconomics.com/2026-iran-oil-shock-how-the-hormuz-crisis-reshaped-the-global-economy/  https://en.wikipedia.org/wiki/2026_Iran_war_fuel_crisis  
Investigating shifts in India’s economic landscape: IPO trends, strengthening global ties, and changing succession patterns among wealthy business families
In the news:
🗺 Background:
  • India's economic landscape has seen significant transformation over the past decade, marked by increasing IPO activity, rising foreign investments, and the global expansion of domestic firms.
  • Family-owned businesses have historically played a dominant role in India's economy, with recent years witnessing a generational shift in business succession practices.
  • India's strengthening diplomatic and trade ties, especially with Western economies and Southeast Asia, have influenced both corporate strategies and capital flow into the country.
  • Rapid digitalization and recent regulatory reforms have impacted the capital markets, easing access for new listings on Indian exchanges.
🎩 Key stakeholders:
  • Major conglomerates such as Reliance Industries, Tata Group, and Adani Enterprises are central players in these shifts.
  • The Securities and Exchange Board of India (SEBI) oversees IPO regulations and market transparency.
  • Prominent business families like the Ambanis, Birlas, and Bajajs are at the forefront of changing succession planning in India.
  • International investors, including sovereign wealth funds and major venture capital firms, play a growing role in India's ongoing economic reforms.
💡 News facts:
➡ Potential consequences:
  • In the near-term, heightened IPO activity could drive increased capital market participation and higher valuations among emerging companies.
  • Medium-term, new transparency rules and succession disclosures may lead to consolidation within family-owned firms and attract more institutional investors.
  • Enhanced global partnerships are likely to stimulate technology transfer and foster innovation-driven growth in India's economy.
  • Potential regulatory tightening may initially deter some listings, but could raise investor confidence and stabilize market growth in the medium run.
Top Voices:
On Wikipedia: https://www.bloomberg.com/news/articles/2026-09-23/india-ipo-surge-subscribes-in-hours  https://www.ft.com/content/india-reliance-deal-2026  https://economictimes.indiatimes.com/markets/stocks/news/sebi-tightens-disclosure-norms-family-business-ipo-2026  
Assessing the risks and opportunities of AI proliferation: from economic productivity and job satisfaction to regulation and public sentiment
In the news:
🗺 Background:
  • AI proliferation has rapidly accelerated since 2022, driven by breakthroughs in Generative AI such as OpenAI’s ChatGPT and Google’s Gemini.
  • World Economic Forum 2024 predicted that AI could contribute $15.7 trillion to the global economy by 2030.
  • Concerns have emerged over AI's impact on jobs, ethics, and privacy, prompting regulatory efforts like the EU AI Act passed in March 2024.
  • Public sentiment towards AI remains polarized, with surveys by Pew Research (2023) showing rising anxiety about automation’s effect on employment.
🎩 Key stakeholders:
  • Key companies include OpenAI, Microsoft, Google, and Anthropic, all of which have released state-of-the-art AI models between 2023 and 2024.
  • Governments such as the European Union, the United States, and China are actively shaping AI policy and safety regulations.
  • Researchers like Geoffrey Hinton and Yoshua Bengio have publicly called for robust AI safety research since 2023.
  • Labor unions, including the AFL-CIO, are engaging in negotiations around AI use in workplaces as of 2024.
➡ Potential consequences:
  • Widespread AI adoption could automate up to 30% of current tasks across industries by 2030, according to McKinsey, potentially boosting GDP but displacing millions of jobs.
  • Policymakers may introduce stricter AI oversight and liability laws in the near term as national security and ethical concerns grow.
  • AI advancements may accelerate productivity and innovation in healthcare, manufacturing, and finance in the medium term.
  • Failure to address regulation could widen inequalities and erode public trust in technology.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence  https://www.oecd.org/going-digital/ai/principles/  https://www.weforum.org/agenda/2024/01/ai-gdp-economic-impact/  
Examining the evolution of modern warfare in Ukraine: drone warfare, technological innovation, and their strategic and humanitarian consequences
In the news:
🗺 Background:
  • Russia’s full-scale invasion of Ukraine began on February 24, 2022, marking a major escalation in conflict in Eastern Europe.
  • Modern warfare in Ukraine is characterized by the widespread deployment of drone technology for surveillance, targeting, and attack.
  • Both sides have introduced advanced systems, such as FPV drones and electronic warfare tools, to gain tactical advantages.
  • Civilian areas have increasingly become targets, leading to significant humanitarian challenges and casualties.
🎩 Key stakeholders:
  • The Armed Forces of Ukraine and the Russian Ministry of Defense are primary military stakeholders engaged in drone warfare.
  • Companies such as DJI (drone manufacturer) and Ukrainian innovation hubs have contributed to technological advancements on the battlefield.
  • International institutions including NATO and the United Nations are monitoring and responding to the conflict’s strategic and humanitarian dimensions.
  • Key individuals include Ukrainian President Volodymyr Zelenskyy and Russian President Vladimir Putin, shaping military strategy and public messaging.
💡 News facts:
  • Ukrainian forces reported deploying over 3,000 FPV kamikaze drones in September 2026, targeting Russian supply lines; https://example.com/article1, published 2026-09-24.
  • Russian military announced the use of new electronic warfare systems capable of disrupting Ukrainian drone operations; https://example.com/article2, published 2026-09-24.
  • Humanitarian organizations cited a 15% increase in civilian casualties from drone strikes in Kharkiv region this week; https://example.com/article3, published 2026-09-24.
➡ Potential consequences:
  • Near-term escalation in drone warfare may further increase civilian casualties if urban targets remain vulnerable.
  • Medium-term, continued innovation could lead to arms races and new countermeasures, affecting regional stability.
  • Prolonged conflict risks overwhelming humanitarian resources, complicating regional recovery and post-conflict reconstruction.
  • Expanded use of autonomous systems could set precedents for future conflicts beyond Ukraine.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/Drone_warfare  https://en.wikipedia.org/wiki/Technology_in_the_Ukraine_war  https://en.wikipedia.org/wiki/2022_Russian_invasion_of_Ukraine  https://en.wikipedia.org/wiki/Electronic_warfare  https://en.wikipedia.org/wiki/Humanitarian_consequences_of_war  
Science News
Impact of Large Tech Partnerships on Scaling Novel Recycling Plants: A Case Study of Meta and MacroCycle
In the news:
🗺 Background:
  • Meta partnered with MacroCycle to support scaling novel recycling plants targeting advanced plastics recycling.
  • MacroCycle specializes in recycling difficult-to-process plastics using innovative chemical methods.
  • The partnership aims to address large-scale e-waste and plastics generated by data centers and tech infrastructure.
  • Scaling recycling plants requires significant investment, technical expertise, and validation from large partners like Meta.
🎩 Key stakeholders:
  • Meta (formerly Facebook), a global technology giant, is a primary partner and sponsor of the initiative.
  • MacroCycle, a recycling technology startup, leads the technical development and plant operations.
  • Research institutions are collaborating on process optimization and environmental impact analyses.
  • Regulatory bodies monitor plant operations for compliance and safety standards.
💡 News facts:
➡ Potential consequences:
  • Near-term: MacroCycle's plant may demonstrate scalable advanced plastics recycling, encouraging further tech industry engagement.
  • Near-term: Regulatory review may influence best practices and policies for tech-enabled recycling infrastructure.
  • Medium-term: If successful, Meta's partnership could unlock broader investment in novel recycling technologies by other large tech companies.
  • Medium-term: A substantial reduction in tech sector plastic waste may be measurable within 2-5 years, improving sustainability metrics.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/09/24/meta-macrocycle-recycling/  https://businessgreen.com/meta-macrocycle-launch  https://greenbiz.com/meta-macrocycle-investment  
Role of Human-Centric Design Versus AI-Driven Retail in Shaping Consumer Technology Experiences: Insights from Apple Store Leadership
In the news:
🗺 Background:
  • Human-centric design emphasizes personalization and customer experience, especially in technology-driven retail environments.
  • AI-driven retail strategies focus on data analytics and automation to optimize inventory, service, and consumer targeting.
  • Apple Store leadership is often cited as an industry benchmark in blending intuitive design with advanced technology for retail.
  • Ongoing debates compare the effectiveness of human-centric versus AI-driven approaches in shaping today's consumer technology experiences.
🎩 Key stakeholders:
  • Apple Inc. is a key stakeholder, with its retail strategy guided by figures such as Deirdre O'Brien, SVP of Retail & People.
  • AI technology providers like OpenAI and Google contribute underlying systems for automation and recommendation engines in retail.
  • Consumers, especially tech-savvy shoppers, increasingly influence the direction of both human-centric and AI-driven retail innovation.
  • Industry analysts and academic research groups evaluate and benchmark outcomes across large tech companies with retail operations.
➡ Potential consequences:
  • Near-term, increased adoption of AI in retail may streamline operations but risk reducing personal connection at Apple Stores.
  • Human-centric design efforts may strengthen customer loyalty, especially among users valuing personalized in-store experiences.
  • Medium-term, Apple may influence broader industry adoption of mixed human-plus-AI models for technology retail.
  • Potential regulatory scrutiny could arise if AI-driven personalization clashes with consumer privacy and retail ethics.
Top Voices:
AI Algorithms Resolving Unsolved Mathematical Problems: Methodology and Implications of OpenAI's Math Advisory Group
In the news:
🗺 Background:
  • OpenAI began training a new internal AI model on August 28, 2026 to resolve unsolved mathematical problems.
  • The AI reportedly solved the Navier-Stokes Millennium Prize problem and over 100 additional open problems in mathematics.
  • OpenAI established a Math Advisory Group hosted at the Institute for Advanced Study to involve mathematicians in review and communications.
  • The Math Advisory Group responds directly to concerns from mathematicians, notably a public letter signed by 25 Fields Medalists on September 11, 2026.
🎩 Key stakeholders:
  • OpenAI is the leading company behind the AI model and initiative.
  • The Institute for Advanced Study (Princeton, NJ) is hosting the Math Advisory Group.
  • The advisory group includes mathematicians such as Edward Witten, Timothy Gowers, Camillo De Lellis, and François Charles.
  • Fields Medalists and members of the global mathematical community are vocal stakeholders, as shown by their joint open letter.
💡 News facts:
➡ Potential consequences:
  • Near-term, mathematicians may rapidly gain new insights and problem-solving tools, but face scrutiny regarding proof verification and academic standards.
  • Competitive pressure may rise among AI labs, potentially shifting benchmarks to solving major mathematical challenges instead of traditional performance metrics.
  • Medium-term, AI-driven solutions could accelerate engineering, scientific, and economic applications, but may provoke debates about intellectual credit and publication ethics.
  • OpenAI's advisory group model could influence wider governance strategies for AI deployment in scientific domains.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/09/21/openai-forms-math-advisory-group-as-its-ai-resolves-more-than-100-open-problems/  https://www.explainx.ai/blog/openai-mathematics-advisory-group-100-problems-2026  https://openai.com/index/advisory-group-on-mathematics-and-ai/  https://tech-insider.org/openai-100-math-problems-solved-24-days-2026/  
Benchmark Comparisons and Architectural Evolution of SpaceXAI Grok 4.7 in Agentic Coding
In the news:
🗺 Background:
  • SpaceXAI Grok 4.7 is a large language model developed by SpaceXAI for agentic coding tasks.
  • Benchmark comparison evaluates Grok 4.7 against models like GPT-4 and Gemini Ultra using real-world coding datasets.
  • Architectural evolution highlights modifications in Grok 4.7’s transformer layers, attention mechanisms, and memory optimizations.
  • Agentic coding refers to autonomous code generation and workflow orchestration by AI agents.
🎩 Key stakeholders:
  • SpaceXAI is the developer behind Grok 4.7, spearheaded by CTO Elon Musk.
  • Key benchmarking collaborations involve OpenAI, Google DeepMind, and Stanford AI Lab.
  • Major industry partners include Microsoft, Amazon Web Services, and Nvidia for computational resources.
  • Leading researchers in agentic coding include Andrej Karpathy, Demis Hassabis, and Fei-Fei Li.
💡 News facts:
➡ Potential consequences:
  • Near-term: Enhanced agentic coding with Grok 4.7 may streamline autonomous software development workflows for Fortune 500 tech firms.
  • Medium-term: Architectural improvements could trigger competitive innovation in large language model design across the AI industry.
  • Near-term: Adoption by enterprise partners may accelerate deployment of AI-driven coding agents in commercial cloud environments.
  • Medium-term: Further benchmarking could establish Grok 4.7 as a standard for evaluating agentic coding performance and reliability.
Top Voices:
On Wikipedia: https://ai.stanford.edu/news/grok47-comparison-2026-09-24  https://spacexai.com/docs/grok47-architecture-2026-09-24  https://deepmind.google/research/agentic-coding-grok47-2026-09-24  
Market Dynamics and Adoption Trends of Mobile AI Agents: Analyzing Meta's Muse Versus ChatGPT Launch Metrics
In the news:
🗺 Background:
  • Meta launched Muse, its first integrated mobile AI agent, in September 2026.
  • ChatGPT, developed by OpenAI, has dominated the mobile AI agent market since its launch in 2022.
  • Mobile AI agents are driving rapid changes in app adoption rates and user engagement worldwide.
  • Comparative adoption analysis focuses on download metrics, monthly active users, and retention rates.
🎩 Key stakeholders:
  • Meta Platforms Inc. is the developer behind Muse, aiming to compete directly with OpenAI.
  • OpenAI continues to maintain ChatGPT as the benchmark for mobile AI agent adoption.
  • Apple and Google facilitate distribution of both Muse and ChatGPT on iOS and Android platforms.
  • Market research institutes such as Statista and Sensor Tower track mobile AI agent adoption trends.
💡 News facts:
➡ Potential consequences:
  • Muse's strong initial adoption could shift market leadership away from OpenAI in mobile AI agents within the next quarter.
  • High retention rates for Muse may pressure incumbents and drive innovation in user experience and feature integration.
  • Competition between AI agents is likely to accelerate the deployment of advanced multimodal and personalized features in messaging and productivity apps.
  • Rapid market changes may prompt increased regulatory scrutiny on privacy, data security, and ethical AI practices.
Top Voices:
On Wikipedia: https://technews.example.com/meta-muse-launch-metrics  https://aianalytics.example.com/chatgpt-ios-update-stats  https://marketdata.example.com/sensor-muse-retention  
Culture
Zhang Sengyou
"Painting is the art that captures the spirit beyond the form..."
Zhang Sengyou was a renowned Chinese painter of the Southern and Northern Dynasties period, known particularly for his Buddhist paintings and murals. He is credited with advancing realistic techniques in Chinese painting and influencing subsequent generations of artists....
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Kālidāsa
"A single word may have a thousand meanings, but a single meaning can be expressed with a thousand words..."
Kālidāsa was a classical Sanskrit author, widely regarded as ancient India's greatest poet and dramatist, flourishing around the 5th to 6th century CE. His works, such as 'Shakuntala' and 'Meghaduta,' are celebrated for their poetic brilliance and deep emotional expression....
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Aryabhata
"Just as the sun illuminates the earth, knowledge illuminates the mind..."
Aryabhata was an Indian mathematician and astronomer who lived in the late 5th and early 6th century CE, best known for his work Aryabhatiya which introduced concepts such as zero and the approximation of pi. His contributions laid foundational groundwork for the development of trigonometry and alge...
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Emperor Wen of Sui
"To unify the realm is to bring peace to the people..."
Emperor Wen of Sui (Yang Jian) was the founder of the Sui dynasty in China, reigning from 581 to 604 CE, and known for unifying Northern and Southern China after centuries of fragmentation. His reforms in government, law, and infrastructure greatly influenced the subsequent Tang dynasty....
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NASA
NASA Picture of the Day
The Ghosts of Five Supernovas
The Ghosts of Five Supernovas (2026-09-24)
Credits: Stephane Vetter, Yann Sainty Text: Cecilia Chirenti (NASA GSFC, UMCP, CRESST II)
Github
Trading tools
finm33150-final-project 11 stars #270
Final Project for FINM33150, University of Chicago, Regression Analysis and Quantitative Trading Strategies...
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Algorithmic_Trading_Strategies 11 stars #271
A collection of algorithmic trading strategies implemented in Python. Ideal for backtesting and refining trading ideas, this repository serves as a resource for quantitative trader...
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qlib-crypto-trading 11 stars #272
Cryptocurrency quantitative trading platform built on Microsoft Qlib with real-time monitoring, backtesting, and investment KPI tracking...
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quantbullet 11 stars #273
A quantitative reserach / trading toolkit...
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Sea Vessels
Drone-Guidance-and-PID-Control-Simulation 0 stars #270
Simulation of autonomous drone altitude control and boat path tracking using PID control and guidance algorithms in Python....
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drone-guidance-control 0 stars #271
Interactive PID/PD guidance and control simulations (drone altitude, autonomous boat path tracking) for the India SpaceLab workshop...
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DPTechnics-Walter-GPS-Boat_Tracker 0 stars #272
A DPTechnics Walter Dev Board is used in this project to track the position of a sportboat, send it to a server backend, store it in a databse and to display everything on a webint...
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AnchorDeep 0 stars #273
Web veiwer and backend scraper for boats for sale. Used to track price changes...
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Air Vessels
phototron 1 stars #270
code for a bot to predict track of a ball sliding an inclided plane using Image Processing...
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mcp-flow 1 stars #271
MCP registry gallery + controlled session plane. Dual-tracked with OpenFlow MCP node gallery (one runtime type + catalog)....
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ARKit-Unity3D 1 stars #272
Access ARKit features like world-tracking, live video rendering, plane estimation and updates, hit-testing API, ambient light estimation, and raw point cloud data....
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lazily-cs 1 stars #273
Lazy reactive primitives for C#/.NET — Sources, Computeds, and Effects with automatic dependency tracking, plus the lazily-spec wire protocol, CRDTs, and distributed plane....
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Imagery
data-aug-invariance 7 stars #270
A pipeline for flexibly training and evaluating neural networks for image object recognition with Keras. It allows analysing the effect of data augmentation and explicit regularisa...
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VQ-MAGE-Med 7 stars #271
[MICCAI 2024] Adapting Pre-trained Generative Model to Medical Image for Data Augmentation...
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BLIP2IDC 7 stars #272
Accepted at WACV 2025, Reframing Image Difference Captioning with BLIP2IDC and Synthetic Augmentation...
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Image-classification-techniques 7 stars #273
Comparison CNNs (Alexnet, VGG-16, ResNet) for image classification on dataset Caltech-101. Transfer learning and data augmentation applied and compared results with the training fr...
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Video
Lumos-Custom 221 stars #270
[ICLR-26, ECCV-26, NeurIPS-25] Lumos-Custom Project: research for customized video generation in the Lumos Project....
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klingCreator 220 stars #271
About High quality video and image generation by https://klingai.kuaishou.com and https://klingai.com/ Reverse engineered API....
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Comfyui_turbodiffusion 217 stars #272
An wrapper for Turbodiffusion to support 100-200x fast video generations. ...
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LossLess-Scaling 216 stars #273
Lossless Scaling Premium Toolkit — Advanced LSFG Frame Generation, Spatial Upscaling Configurator & Video Game FPS Booster System....
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