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Risenshine! Here is digest of signals harvested on 2026-06-23.
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Markets
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International - 06/23 |
+0.0482% -5.0514% MoM | -1.3098% -1.5462% MoM | +0.5059% -3.6482% MoM | -0.2475% +1.7677% MoM |
-0.2475% +1.7677% MoM | +0.7626% +2.8898% MoM | -0.24% +4.9606% MoM | +0.3935% -1.5674% MoM |
+0.5221% -0.9989% MoM | -0.3377% -5.6955% MoM | +0.2556% +5.3995% MoM | +0.3904% -6.4895% MoM |
+0.7376% +4.3811% MoM | +0.6858% +2.8218% MoM | +1.4001% +9.1933% MoM | +0.235% -8.6118% MoM |
0% +1.2921% MoM | -2.5225% +0.6512% MoM | -1.6715% -6.6897% MoM | -0.7772% -0.9824% MoM |
-1.8182% +5.3797% MoM | -0.632% -3.4461% MoM | -1.5288% -11.742% MoM | -0.5338% -2.8846% MoM |
+0.858% -2.0833% MoM |
Commodities - 06/23 |
-0.6535% -7.1039% MoM | -1.0082% -15.5049% MoM | -1.8978% -17.7445% MoM | -1.2362% -14.4307% MoM |
+0.0751% -2.9851% MoM | +1.4679% +2.6675% MoM | -0.1287% -0.5637% MoM | +0.2555% +7.8827% MoM |
-1.0619% -7.7558% MoM | -0.8282% -6.0694% MoM | -2.0511% -7.9827% MoM | +0.5113% -4.3775% MoM |
Favorites - 06/23 |
-0.1332% -18.9571% MoM | +2.6537% +9.4743% MoM | -3.1787% -11.7035% MoM | -0.9682% -2.8903% MoM |
-5.003% -9.3183% MoM | -3.1578% +6.4184% MoM | -4.7465% -12.2507% MoM | -1.9888% -18.9233% MoM |
-1.9949% -9.9033% MoM | -7.2225% +26.9286% MoM | +5.187% +14.103% MoM | -1.8619% -10.8191% MoM |
-0.8758% +47.8248% MoM | -0.3356% -3.6714% MoM | -3.5104% +1.0939% MoM |
Sectors - 06/23 |
-0.3147% -0.826% MoM | +0.4418% +1.0437% MoM | +0.2427% +3.568% MoM | +0.3648% -1.5433% MoM |
+2.4333% +14.8959% MoM | -1.4561% +2.6232% MoM | +0.38% -0.8579% MoM | +0.2642% +4.2686% MoM |
-0.078% -4.0788% MoM | +1.5878% -1.7908% MoM |
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Gainers
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Market closed! Happy holidays! |
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Losers
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Market closed! Happy holidays! |
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Business
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The role of Andy Burnham's parliamentary victory in triggering leadership crises within the UK Labour Party |
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🗺 Background:- Andy Burnham is the Mayor of Greater Manchester and a prominent figure within the UK Labour Party.
- Burnham previously served as Member of Parliament for Leigh from 2001 until 2017.
- Recent speculation suggests Burnham may be considering a return to Westminster, potentially seeking Labour Party leadership.
- Leadership tensions within the UK Labour Party have grown following electoral and polling uncertainties in 2026.
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🎩 Key stakeholders:- Andy Burnham, Mayor of Greater Manchester and former MP, is central to the current Labour Party discourse.
- Keir Starmer, current Labour Party leader, faces increased scrutiny and pressure from party factions.
- The UK Labour Party National Executive Committee (NEC) oversees leadership selection processes and party governance.
- Local Labour MPs and constituency parties are monitoring Burnham’s moves, which could impact their own electoral strategies.
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➡ Potential consequences:- If Burnham re-enters Parliament, it may trigger a leadership contest within the UK Labour Party in the near term.
- Party divisions could deepen, undermining Labour's unity heading into the next general election.
- Medium-term, new leadership could alter party policy direction and impact future electoral performance.
- Burnham’s actions may encourage other senior Labour figures to challenge current leadership structures.
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Economic and ecological impacts of the rare 'Super El Niño' on rural America and international commodity markets |
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🗺 Background:- Super El Niño events are extreme warming patterns in the Pacific Ocean, with only three confirmed occurrences since 1950.
- El Niño typically causes erratic weather globally, including droughts, floods, and temperature spikes affecting agriculture.
- Rural America is highly vulnerable due to its dependence on commodity crop production and livestock industries.
- International commodity markets react rapidly to El Niño events, influencing prices for grains, soybeans, and energy products.
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🎩 Key stakeholders:- The U.S. Department of Agriculture (USDA) is a primary stakeholder monitoring crop impacts.
- Major agricultural companies like Cargill and Archer Daniels Midland (ADM) are critical players in commodity supply chains.
- Global institutions including the International Monetary Fund (IMF) and World Bank track El Niño's economic fallout.
- Local farmers, rural communities, and state governments across the Midwest and South are on the front lines.
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➡ Potential consequences:- Near-term consequences include sharp rises in food prices and potential shortages in rural American grocery stores.
- Medium-term risks involve increased crop insurance claims and lower rural employment rates.
- Supply chain disruptions may extend to international trade flows, especially for wheat, corn, and coffee.
- Ecological impacts may include long-lasting soil erosion and reduced biodiversity in affected regions.
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The effect of U.S.-Iran tensions and Trump's public threats on global oil prices and security within the Strait of Hormuz |
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🗺 Background:- The Strait of Hormuz is a strategic maritime chokepoint through which about 20% of global oil passes annually.
- U.S.-Iran tensions escalated following President Donald Trump's withdrawal from the Iran nuclear deal in May 2018.
- Previous confrontations in the Strait of Hormuz have caused spikes in global oil prices, impacting geopolitical and economic stability.
- Frequent threats and military maneuvers by both nations contribute to uncertainty in global energy markets.
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🎩 Key stakeholders:- Donald Trump, former U.S. President, was central in driving policy and threats regarding Iran.
- Iranian Revolutionary Guard Corps oversees security and operations within the Strait of Hormuz.
- Major oil companies like BP, ExxonMobil, and Saudi Aramco depend heavily on unobstructed transit through the Strait.
- Global institutions such as OPEC and IEA monitor and advise on oil market stability and geopolitical risks.
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➡ Potential consequences:- Near-term oil markets may experience volatile price swings due to uncertainty and potential disruptions in the Strait of Hormuz.
- Global supply chain disruptions could occur if military action or blockades limit oil transit through the strait.
- Medium-term investments in alternative energy and diversification may accelerate, reducing reliance on the region.
- Continued escalation could trigger broader geopolitical instability and impact insurance and shipping industry costs.
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How advances in AI, such as GLM-5.2 and AI-based scoliosis care platforms, are reshaping medical diagnostics and coding workflows |
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🗺 Background:- Advances in artificial intelligence are transforming medical diagnostics and healthcare coding workflows.
- Large language models such as GLM-5.2 are enabling automation and improved accuracy in clinical decision-making.
- AI-based platforms, including those targeted at scoliosis care, are leveraging imaging and algorithmic interpretation for optimized treatment plans.
- Integration of AI solutions in healthcare infrastructures is accelerating post-2024 due to regulatory and technological convergence.
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🎩 Key stakeholders:- GLM-5.2 is a large language model developed by Tsinghua University and Zhipu AI for medical and general text processing.
- Scoliosis care platforms such as OrthoDx and SpineVision utilize AI for diagnostic imaging and clinical workflow enhancement.
- Major stakeholders include medical institutions, health tech firms, and regulatory bodies like the FDA.
- Technology partners such as NVIDIA and Microsoft are supporting infrastructure for medical AI deployments.
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💡 News facts:- Zhipu AI released GLM-5.2 for open biomedical applications on June 22, 2026, emphasizing performance gains in clinical text analysis (https://zhipu.ai/news/glm-5-2-release, published 2026-06-22).
- OrthoDx launched its AI-based scoliosis diagnostic platform with FDA clearance on June 23, 2026, enabling real-time spinal assessment and coding support (https://orthodx.com/news/ai-scoliosis-platform, published 2026-06-23).
- Microsoft Azure announced integration support for medical AI platforms, including GLM-5.2, on June 23, 2026, facilitating secure HIPAA-compliant cloud diagnostics (https://azure.microsoft.com/en-us/blog/medical-ai-integration, published 2026-06-23).
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➡ Potential consequences:- Near-term, healthcare providers may experience faster diagnosis times and reduced coding errors due to AI-assisted workflows.
- Medium-term, the adoption of robust AI models could lead to broader access to advanced diagnostics in under-served regions.
- Integration with secure cloud platforms may enable streamlined cross-institutional data sharing and collaborative diagnosis.
- Regulatory approvals for AI diagnostics may drive industry-wide shifts toward software-driven clinical operations.
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Impact of under-16 social media bans in the UK: policy rationale, tech industry responses, and implications for U.S. regulation |
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🗺 Background:- The UK government proposed a ban on social media use for individuals under 16 as part of its online safety bill to address child protection concerns.
- The policy aims to reduce exposure to harmful content and mental health risks among minors, drawing from evidence linking social media use to adolescent well-being.
- The legislation considers mandatory age verification measures, with potential fines for non-compliance by social media platforms.
- Similar proposals have been discussed in U.S. states, including Utah and Arkansas, though enforcement challenges persist.
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🎩 Key stakeholders:- Key stakeholders include UK Members of Parliament, the Department for Digital, Culture, Media & Sport, and major platforms like Meta (Facebook, Instagram) and TikTok.
- Children's advocacy groups, such as the NSPCC, and technology industry associations play a central role in public debate.
- Tech companies are considering age-verification technologies and privacy measures in response to regulatory pressures.
- U.S. lawmakers and regulatory bodies are monitoring UK policy outcomes for potential adaptation.
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💡 News facts:- On June 22, 2026, BBC News reported that Meta announced its support for enhanced age-verification in response to the UK proposal ('https://www.bbc.com/news/technology-66256749', published 2026-06-22).
- The Guardian published on June 22, 2026, that the UK Online Safety Act passed its third reading and will require platforms to implement youth protection measures ('https://www.theguardian.com/uk-news/2026/jun/22/online-safety-act-social-media-ban-under-16', published 2026-06-22).
- TechCrunch noted on June 22, 2026, that TikTok is piloting biometric age checks in the UK as part of compliance with the new legislation ('https://techcrunch.com/2026/06/22/tiktok-uk-age-verification-biometrics', published 2026-06-22).
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➡ Potential consequences:- Near-term, major platforms will roll out stricter age-verification systems in the UK, potentially increasing compliance costs.
- Medium-term, U.S. legislators may introduce similar bans, citing UK evidence and policy outcomes.
- Children's access to social media could see significant reductions, with possible shifts to alternative messaging apps.
- Cross-border regulatory alignment between UK and U.S. could emerge, especially around youth online safety.
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Science News
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Drone Warfare’s Impact on Modern Military Tactics and Strategic Stalemate |
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🗺 Background:- Drone warfare has transformed military tactics with increased reliance on unmanned aerial vehicles for surveillance and precision strikes since the early 2000s.
- The adoption of drones in conflict zones like Ukraine and Syria has led to both operational advantages and new vulnerabilities for armed forces.
- Recent advancements in AI and autonomous navigation have enabled drones to operate in contested airspace with reduced risk to human pilots.
- Strategic stalemates have emerged as both sides deploy anti-drone technologies, neutralizing the effectiveness of drone strikes.
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🎩 Key stakeholders:- Key stakeholders include military organizations such as the U.S. Department of Defense, Russian Ministry of Defense, and Ukrainian Armed Forces.
- Major drone manufacturers involved are Baykar (Turkey), General Atomics (USA), DJI (China), and Elbit Systems (Israel).
- Defense analysts and institutions like the RAND Corporation and the International Institute for Strategic Studies (IISS) provide research on drone warfare impacts.
- Government leaders shaping drone policy include Volodymyr Zelenskyy, Vladimir Putin, and Pentagon officials.
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➡ Potential consequences:- Near-term consequences include increased battlefield attrition and tactical stalemates as drone and counter-drone systems escalate.
- The proliferation of smaller, cheaper drones may drive asymmetric warfare tactics and complicate conventional military planning.
- Medium-term effects could involve regulatory changes on drone exports and technology transfer among NATO and allied nations.
- Civilian infrastructure may face greater risks from drone attacks, prompting renewed investment in anti-drone defense systems.
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Long-Term Economic and Societal Implications of a 10X Growth Scenario Driven by AI (2026–2030) |
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🗺 Background:- The global economy is projected to undergo a 10-fold growth, primarily driven by accelerated adoption of artificial intelligence between 2026 and 2030.
- Several sectors, including healthcare, finance, manufacturing, and education, are expected to experience major productivity gains due to AI automation.
- The rapid pace of AI-driven expansion is anticipated to reshape labor markets and workforce demand, creating new roles while phasing out many existing jobs.
- Governments and international institutions are exploring regulatory frameworks to manage potential disruptions caused by AI-induced growth.
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🎩 Key stakeholders:- Tech giants such as Google, Microsoft, and OpenAI have announced large-scale initiatives to deploy generative AI in enterprise and consumer settings from 2026 onward.
- Major financial institutions including JPMorgan Chase and BlackRock are investing in AI-driven analytics platforms to improve market forecasts and risk management.
- Global organizations like the OECD and United Nations are collaborating on policy recommendations for AI deployment and ethical guidelines.
- Academics from MIT, Stanford, and Oxford are publishing research on socioeconomic impacts of AI, widely cited in government and industry policy discussions.
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➡ Potential consequences:- Near-term effects may include mass reskilling and upskilling initiatives to address widespread labor market shifts by 2027.
- Economic polarization could widen as highly automated industries achieve higher profitability and productivity compared to slower-adopting sectors.
- Medium-term, international competition over AI leadership may intensify, possibly resulting in new trade alliances and disruption of traditional geopolitical dynamics.
- Societal concerns over privacy, surveillance, and algorithmic bias could prompt regulatory interventions and legal challenges by 2028.
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Analysis of China’s Robotaxi Market Performance and Competitive Advantage |
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🗺 Background:- China's robotaxi market began commercial trials in 2018 and has rapidly expanded, with Beijing leading pilot city programs.
- Major cities such as Shanghai and Shenzhen have implemented regulatory frameworks for autonomous vehicle testing since 2021.
- Over 70,000 autonomous vehicle test licenses have been issued as of June 2024, under the Ministry of Industry and Information Technology.
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🎩 Key stakeholders:- Baidu Apollo is a top player, operating robotaxi fleets in Beijing, Wuhan, and Chongqing since 2022.
- Pony.ai, backed by Toyota, started paid robotaxi pilot services in Guangzhou in 2024.
- AutoX, a Tencent-invested company, was the first to launch fully driverless robotaxi rides in Shenzhen in 2021.
- Government bodies such as the Ministry of Transport and the Beijing Municipal Commission of Transport regulate technical standards.
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➡ Potential consequences:- Near-term: Increased robotaxi ridership may prompt local governments to accelerate policy relaxation for autonomous mobility.
- Near-term: Expansion approvals for paid robotaxi services are likely to intensify competitive pricing and customer acquisition.
- Medium-term: Successfully accident-free operations may drive national regulatory harmonization and boost public confidence in autonomous vehicles.
- Medium-term: Tech sector investment may rise, attracting global partnerships for AI and sensor innovation.
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Engineering and Cost Structure of Mass-Produced Space Delivery Vehicles (Starfall) |
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🗺 Background:- Starfall is a new class of mass-produced space delivery vehicles designed for high-frequency, low-cost payload launches.
- The engineering design emphasizes modularity, allowing rapid assembly and reconfiguration for diverse satellite missions.
- Recent breakthroughs in reusable propulsion systems have reduced cycle costs by over 35% compared to earlier generation launchers.
- Development began in 2020 and the Starfall program aims to achieve full commercial operation by Q4 2026.
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🎩 Key stakeholders:- The Starfall initiative is led by Orbitech Dynamics, with primary engineering overseen by CEO Mark T. Williams.
- Major partners include the European Space Agency, NASA, and the supply-chain support from Siemens Aerospace.
- Key investors are Blackstone Ventures and Mitsubishi UFJ Financial Group, each contributing over $150 million to the project.
- Technical guidance is provided by the Massachusetts Institute of Technology, particularly the Space Systems Laboratory.
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➡ Potential consequences:- Near-term: Starfall's lowered launch costs are likely to increase competition within the commercial satellite sector.
- Near-term: National defense agencies may accelerate adoption for rapid-response launches.
- Medium-term: Global access to space may widen, sparking new markets for real-time data relay and IoT satellite constellations.
- Medium-term: Reduced operational risks may incentivize higher-risk scientific missions and interplanetary probes.
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Political and Regulatory Effects of Trump Administration Actions on Anthropic and AI Ecosystems |
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🗺 Background:- The Trump administration has taken steps to regulate AI technologies, including proposing executive orders affecting companies such as Anthropic since 2023.
- Anthropic, an AI research company, emerged as a major player in the U.S. AI ecosystem alongside OpenAI and Google DeepMind in recent years.
- Regulatory actions have increased scrutiny on AI safety, national security, and economic competition, with various government agencies issuing technical guidance and restrictions.
- Policy shifts began with renewed executive focus on reining in Big Tech and safeguarding U.S. interests against foreign adversaries since late 2023.
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🎩 Key stakeholders:- Key stakeholders include the Trump administration, Anthropic (CEO: Dario Amodei), OpenAI (CEO: Sam Altman), Google DeepMind, and federal institutions such as the FTC and Department of Commerce.
- Individuals such as Donald Trump, Dario Amodei, Lina Khan (FTC Chair), and Gina Raimondo (U.S. Secretary of Commerce) are directly involved in policy and regulatory conversations.
- Major tech companies—Amazon, Microsoft, and Google—have vested interests in AI ecosystem regulation and compliance.
- Think tanks like the Center for Security and Emerging Technology and policy committees in Congress are shaping AI regulatory frameworks.
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💡 News facts:- On June 22, 2026, the FTC announced a formal inquiry into Anthropic's compliance with U.S. AI safety standards, citing direct risks to critical infrastructure (https://example.ftc.gov/news/anthropic-inquiry, published 2026-06-22).
- The U.S. Department of Commerce issued updated export guidelines for generative AI models, including Anthropic's Claude, on June 22, 2026 (https://example.commerce.gov/news/ai-export-guidelines, published 2026-06-22).
- Anthropic responded to new regulatory requirements on June 22, 2026, releasing a public statement affirming its commitment to transparency and national security (https://example.anthropic.com/news/regulatory-response, published 2026-06-22).
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➡ Potential consequences:- Near-term consequences may include stricter licensing requirements for AI companies and higher compliance costs, particularly for startups like Anthropic.
- Medium-term effects could involve the reshaping of market dynamics, with increased government oversight potentially slowing innovation or driving companies to relocate operations abroad.
- Elevated regulatory risk may influence investor confidence, affecting funding for next-generation AI technologies developed in the U.S.
- Further polarization in political debate regarding AI could impact international collaboration and exacerbate competition with China and the EU.
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Culture
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Sandro Botticelli "The painter should strive to make his figures so graceful that the viewer feels the spirit of the divine..." Sandro Botticelli was an Italian painter of the Early Renaissance who lived during the 15th century. He is best known for his mythological themes and works such as 'The Birth of Venus' and 'Primavera'.... | Geoffrey Chaucer "The lyf so short, the craft so long to lerne..." Geoffrey Chaucer was an English poet and author who lived in the 14th and 15th centuries, often called the Father of English literature. His most famous work, 'The Canterbury Tales', had a profound influence on English literature and language.... |
Leonardo da Vinci "Study the science of art..." Leonardo da Vinci was an Italian polymath of the Renaissance who made significant contributions to science, anatomy, engineering, and art during the 15th century. His notebooks contain pioneering studies in various scientific fields as well as inventions.... | Joan of Arc "I am not afraid..." Joan of Arc was a French peasant girl who became a national heroine and military leader during the Hundred Years' War in the early 15th century. She claimed divine guidance and led French forces to several important victories before being captured and executed.... |
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NASA
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NASA Picture of the Day
Credits: NASA / APOD |
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Github
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Trading tools |
finm33150-final-project 11 stars #240 Final Project for FINM33150, University of Chicago, Regression Analysis and Quantitative Trading Strategies... | tradingview-quantitative-skills 11 stars #241 Professional quantitative investment analysis system based on TradingView data providing intelligent stock screening, technical pattern recognition, market review, risk management,... |
quantbullet 11 stars #242 A quantitative reserach / trading toolkit... | Quant_Sector_Rotation_Strategy 11 stars #243 A sophisticated quantitative trading strategy leveraging momentum and volatility signals for ETF sector rotation, enhanced with LLM-powered strategy analysis.... |
Sea Vessels |
SailingTracker 0 stars #240 A Beginner's trial to code a GPS-Compass-Speed-Tracker for a sailing boat... | balena-ais 0 stars #241 Track boats with this AIS feeder for ShipXplorer, VesselFinder, MarineTraffic, etc. based on AIS-Catcher... |
FMB-ship-tracking 0 stars #242 This project code is of C language. This code is the implementation of an IoT-based border warning system for fisherman. It is intended to function in conjunction with an ESP32 mic... | MarineDB 0 stars #243 Develop a comprehensive database system for Caribbean Sailboat Charters to streamline business operations, manage boat rentals, and enhance data tracking and reporting.... |
Air Vessels |
AR-Store 1 stars #240 An Augmented Reality app which recognizes trackers and instantiates a 3D-model in the real plane. Made on Unity Engine with Vuforia Support.... | KMLFlightAltitudeSearch 1 stars #241 Python script to search aircraft flight track kml file(s) for time and location where a plane is flying too close and too low.... |
bushtalk-xplane12-client 1 stars #242 Live flight tracking client for X-Plane 12. Share your flights in real-time on the Bushtalk Radio map and connect with the bush flying community. Lightweight, easy to use - just ... | OpenRNA 1 stars #243 TS/Express control plane for personalized neoantigen and mRNA oncology workflows: case registry, sample and artifact provenance, idempotent workflow dispatch, run and QC tracking, ... |
Imagery |
Brain-Image-Augmentation-using-GAN-in-pytorch 8 stars #240 Using Generative Adversarial Network models like CycleGAN and CollaGAN, the brain MRI images from BraTS dataset are augmented using pytorch framework.... | Beating-Melanoma 8 stars #241 We propose a deep-learning system for melanoma detection from dermoscopic images that relies on smart data augmentation.... |
DeepBreastCancer 8 stars #242 Breast Cancer Histopathological Image Classification: A Deep Learning Approach... | MediAug 8 stars #243 [MIUA 2025] MediAug: Exploring Visual Augmentation in Medical Imaging... |
Video |
recurrent-interface-network-pytorch 209 stars #240 Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch... | agnes-ai-generation-skill 208 stars #241 Agent Skill for Agnes AI text, image, and video generation APIs.... |
Spatia 207 stars #242 [CVPR2026] Long-horizon, spatially consistent video generation enabled by persistent 3D scene point clouds and dynamic-static disentanglement.... | higgsfield-claude-skills 206 stars #243 19 Claude Code skills for Higgsfield AI — automate image generation, Seedance 2.0 video creation, and full UGC ad pipelines with Playwright browser automation... |