Risenshine! Here is digest of signals harvested on 2026-06-20.
Markets
International - 06/18
Germany (EWG):
+0.3868%  -1.2369% MoM
France (EWQ):
+1.0143%  +3.1292% MoM
United Kingdom (EWU):
-1.0017%  -1.793% MoM
Italy (EWI):
+0.7314%  +5.5933% MoM
Italy (EWI):
+0.7314%  +5.5933% MoM
Spain (EWP):
+0.2719%  +5.7337% MoM
Netherlands (EWN):
+1.4028%  +11.0867% MoM
Chile (ECH):
-0.8535%  +3.2504% MoM
Belgium (EWK):
-0.3332%  +1.3979% MoM
Germany (EWD):
+0.8211%  +0.5192% MoM
Australia (EWO):
+0.4201%  +11.0165% MoM
China Large-Cap (FXI):
-1.0401%  -8.2139% MoM
Japan (EWJ):
+1.9164%  +6.612% MoM
India (INDA):
+1.0599%  +4.8868% MoM
Taiwan (EWT):
+4.6428%  +22.4424% MoM
Hong Kong (EWH):
-0.2812%  -10.0211% MoM
Singapore (EWS):
+0.6759%  +1.9507% MoM
Indonesia (IDX):
+0.726%  -2.6316% MoM
Malaysia (EWM):
-0.326%  -6.0751% MoM
Saudi Arabia (KSA):
+0.4685%  +0.2858% MoM
Arab Emirates (UAE):
+3.7736%  +8.4177% MoM
Qatar (QAT):
+0.3195%  +1.6959% MoM
Israel (EIS):
+2.0667%  -4.9324% MoM
Kuwait (KWT):
-0.0278%  +0.305% MoM
Africa (AFK):
-2.7386%  +0.9198% MoM
Commodities - 06/18
gold (GLD):
-0.3809%  -5.9247% MoM
silver (SLV):
-1.8149%  -11.0463% MoM
US oil (USO):
+0.5603%  -24.9019% MoM
platinium (PPLT):
-1.9145%  -11.7681% MoM
agriculture (DBA):
-0.7824%  -5.8345% MoM
carbon (KRBN):
+0.2704%  +5.1226% MoM
copper (CPER):
+0.5694%  +3.2687% MoM
gaz (UNG):
+1.4693%  -1.3445% MoM
corn (CORN):
-1.1662%  -9.5518% MoM
weat (WEAT):
-1.1207%  -8.9683% MoM
uranium (URA):
+1.4437%  +1.2288% MoM
lithium (LIT):
-1.1075%  +0.4524% MoM
Favorites - 06/18
Adobe (ADBE):
-0.5706%  -23.4637% MoM
AMD (AMD):
+4.8568%  +29.7838% MoM
Microsoft (MSFT):
+0.1293%  -9.1083% MoM
Nvidia (NVDA):
+2.9514%  -4.4966% MoM
Oracle (ORCL):
+0.4141%  +1.5596% MoM
Axon (AXON):
+0.0922%  +7.9166% MoM
Amazon (AMZN):
+2.9011%  -5.7646% MoM
Alibaba (BABA):
-0.3165%  -21.041% MoM
JD (JD):
-1.2182%  -14.8548% MoM
ARM (ARM):
+4.9131%  +96.9348% MoM
Intel (INTC):
+10.6441%  +20.9296% MoM
Qualcom (QCOM):
+6.1699%  +15.5922% MoM
Marvel (MRVL):
+7.2667%  +76.1956% MoM
Apple (AAPL):
+0.6961%  -0.3211% MoM
Lowe (LOW):
+2.2691%  +1.7539% MoM
Sectors - 06/18
SP500 (SPY):
+0.7801%  +1.7731% MoM
healthcare (XLV):
-0.8692%  +1.4119% MoM
finance (XLF):
-0.8881%  +4.8337% MoM
real-estate (XLRE):
-0.2502%  -0.1821% MoM
semi-conductors (SOXX):
+6.623%  +28.7293% MoM
aerospace (ITA):
-1.5651%  +9.4678% MoM
reit (RWR):
+0.2449%  +1.0145% MoM
transportation (XTN):
+1.7112%  +12.9539% MoM
agriculture (MOO):
-0.427%  -5.0111% MoM
clean energy (QCLN):
+5.2597%  +12.053% MoM
Gainers
Market closed! Happy holidays!
Losers
Market closed! Happy holidays!
Business
The impact of Kevin Warsh’s leadership on Federal Reserve strategies for combating inflation and guiding monetary policy
In the news:
🗺 Background:
  • Kevin Warsh served as a member of the Federal Reserve Board of Governors from 2006 to 2011, playing a critical role during the financial crisis.
  • Warsh advocated for strong measures against inflation and supported unconventional monetary policy tools, such as quantitative easing, during his tenure.
  • His leadership emphasized the importance of flexible yet transparent policy responses to changing economic conditions.
  • Warsh is frequently referenced for his critiques on Fed signaling and his calls for earlier interest rate hikes to combat inflation.
🎩 Key stakeholders:
  • Key individuals include Kevin Warsh, Jerome Powell (current Fed Chair), and Janet Yellen (former Fed Chair and current Treasury Secretary).
  • The Federal Reserve Board, U.S. Treasury Department, and major commercial banks are primary institutional stakeholders.
  • Financial markets, including the S&P 500, and companies like JPMorgan Chase and Goldman Sachs are affected by Fed policy changes.
  • Economic researchers and think tanks, such as the Brookings Institution and National Bureau of Economic Research, influence policy debate.
➡ Potential consequences:
  • Near-term, Warsh's emphasis on early intervention could prompt calls for faster Fed rate hikes and more proactive inflation containment.
  • Medium-term, adoption of Warsh-style strategies may impact credit markets and growth forecasts by increasing policy predictability.
  • His leadership example might influence future Fed appointments and tilt ongoing debates toward stricter monetary discipline.
  • Potential shifts in global investor sentiment could result if the Fed signals tighter policy based on Warsh's strategic recommendations.
Top Voices:
How surging gold prices influence investment flows and corporate rankings in Southeast Asia
In the news:
🗺 Background:
  • Gold prices have surged globally in 2024, reaching over $2,350 per ounce by June due to heightened geopolitical tensions and inflation concerns.
  • Southeast Asian economies like Indonesia, Malaysia, and Thailand are major gold producers and consumers, making them sensitive to price fluctuations.
  • The gold boom has intensified competition among mining firms and influenced investor allocations across regional equity and commodity markets.
  • Central banks in the region, including Bank Indonesia and Bank of Thailand, are adjusting reserves and policies in response to gold price movements.
🎩 Key stakeholders:
  • Major mining companies such as PT Aneka Tambang (ANTAM) and Malaysia's MUI Group are leading gold producers affected by price changes.
  • Investment funds like CIMB Principal Asset Management and institutional investors are increasing gold-related holdings in their portfolios.
  • Regional stock exchanges and financial regulators, including Bursa Malaysia and Indonesia Stock Exchange (IDX), monitor shifting trends in gold investment flows.
  • Central bankers, government policymakers, and commodity traders play pivotal roles in corporate rankings and investment direction.
💡 News facts:
➡ Potential consequences:
  • Near-term, Southeast Asian gold mining companies are likely to outperform regional peers, attracting higher investor interest and capital.
  • Medium-term, continued gold price volatility may prompt regulatory changes and impact corporate rankings within exchanges such as IDX and Bursa Malaysia.
  • Growing retail participation in gold ETFs could increase market liquidity but expose investors to commodity price risk.
  • Central banks may further diversify reserves, influencing monetary policy and exchange rates across Southeast Asia.
Top Voices:
On Wikipedia: https://www.thejakartapost.com/business/2024/06/20/ane-ka-tambang-q2-gold-sales.html  https://www.thestar.com.my/business/2024/06/20/bursa-gold-etf-volumes-surge  https://www.bangkokpost.com/business/2024/06/20/gold-tax-incentives-discussed  https://www.gold.org/  https://www.bursaacademy.bursamarketplace.com/en/article/education/gold-etfs-investing  
G7 strategies for reducing China’s dominance in the rare earths supply chain and the feasibility of the 60% target by 2030
In the news:
🗺 Background:
  • China currently controls over 70% of global rare earths processing, dominating the supply chain for critical minerals.
  • The G7 group includes major economies such as the US, Japan, UK, Germany, France, Italy, and Canada, collaborating to reduce dependency on China.
  • Rare earth elements are essential for manufacturing electronics, renewable energy infrastructure, and defense technologies.
  • The G7 target aims to secure 60% of supply chain independence from China by 2030.
🎩 Key stakeholders:
  • US Department of State and Japan’s Ministry of Economy, Trade and Industry are leading government bodies in this initiative.
  • Companies such as Lynas Rare Earths (Australia) and MP Materials (US) have been mentioned as key rare earth players.
  • The European Commission and EU Critical Raw Materials Act are also stakeholders in coordinating regional strategies.
  • Chinese firms like China Northern Rare Earth Group are directly affected by G7 policy changes.
💡 News facts:
➡ Potential consequences:
  • Near-term investment may increase among G7 countries, stimulating rare earth mining and processing domestically and in allied nations.
  • Medium-term, competition for rare earth resources could lead to new trade agreements and possible geopolitical tensions with China.
  • The 60% independence target, if achieved, could shift global supply chain dynamics and influence prices for rare earth commodities.
  • G7 companies may face initial challenges in scaling up production and processing, potentially causing supply bottlenecks by 2028.
Top Voices:
On Wikipedia: https://www.reuters.com/article/g7-rare-earths-idUSKCN1QJ2B1  https://www.bloomberg.com/news/articles/2026-06-20/japan-g7-rare-earths-supply-chain  https://www.politico.eu/article/g7-rare-earths-plan-china-supply-chain/  
Anthropic, OpenAI, and AI sovereignty: The proxy battle for AI regulation and strategic model access in Europe and the United States
In the news:
🗺 Background:
  • The rapid advancement of generative AI models by companies like OpenAI and Anthropic has intensified debates about regulatory oversight and national access in both Europe and the United States.
  • AI sovereignty refers to a nation's control over AI technologies, strategic model access, and data governance, increasingly becoming a geopolitical and economic priority since 2023.
  • Proxy battles for AI regulation involve lobbying efforts, compliance with the EU AI Act, and negotiations over API/model access by tech giants following concerns about strategic dependence.
  • As of mid-2024, the EU and US are considering divergent regulatory frameworks, creating uncertainty for cross-border AI deployment and digital innovation.
🎩 Key stakeholders:
  • OpenAI, Anthropic, and Google DeepMind are leading AI companies lobbying for influence in regulatory outcomes and control over advanced AI systems.
  • Key institutional players include the European Commission (especially Thierry Breton), UK AI Safety Institute, US White House OSTP, and national digital agencies.
  • Individuals such as Sam Altman (OpenAI CEO), Dario Amodei (Anthropic CEO), and regulators like Margrethe Vestager shape negotiations and public narratives.
  • Major tech alliances and venture capital groups are increasingly active in shaping the AI regulatory landscape, especially in discussions about model access and compliance.
💡 News facts:
➡ Potential consequences:
  • Near-term regulatory uncertainty may delay AI model deployment and commercial launches in strategic European sectors, including finance, healthcare, and government services.
  • Medium-term, divergent AI regulatory regimes could drive fragmentation in cross-border digital markets, impacting innovation, investment flows, and national technological competitiveness.
  • If local sovereignty measures increase, companies like OpenAI and Anthropic may be forced to adapt model architectures and APIs for jurisdiction-specific compliance.
  • Escalation of proxy lobbying battles may trigger new bilateral negotiations between US and EU policymakers, potentially reshaping global AI governance norms by late 2024.
Top Voices:
On Wikipedia: https://www.politico.eu/article/ai-act-brussels-openai-anthropic-lobbying-europe/  https://www.reuters.com/technology/anthropic-openai-eu-ai-act-sovereignty-2024-06-20/  https://www.ft.com/content/cc61c1fd-e482-4563-82f9-cbbcbcf8bcc5  
The effects of SpaceX’s IPO and valuation on its business strategy, investor sentiment, and board composition
In the news:
🗺 Background:
  • SpaceX, founded by Elon Musk in 2002, is a leading private aerospace manufacturer and space transportation company.
  • SpaceX’s valuation surpassed $180 billion as of June 2024, reflecting heightened demand for its Starlink services and commercial launches.
  • Rumors of a potential IPO have surfaced periodically, but no official date has been set for SpaceX’s public offering.
  • Investor attention has grown following comparable public offerings in the space sector, such as Rocket Lab’s SPAC merger in 2021.
🎩 Key stakeholders:
  • Elon Musk is the CEO and largest shareholder, directly influencing SpaceX’s strategic direction.
  • Major institutional investors include Fidelity, Baillie Gifford, and Sequoia Capital, each with significant stakes.
  • The current board includes Gwynne Shotwell (President and COO), and Kimbal Musk, with new members speculated if IPO proceeds.
  • Competitor companies such as Blue Origin and ULA monitor SpaceX’s moves for impact on market dynamics.
💡 News facts:
➡ Potential consequences:
  • Near-term: Private ownership allows SpaceX to continue aggressive reinvestment in Starship and Starlink without quarterly earnings constraints.
  • Near-term: Continued rumors of IPO sustain high investor demand for secondary shares, potentially inflating valuations.
  • Medium-term: An eventual IPO could diversify board membership, adding financial and regulatory expertise.
  • Medium-term: Public listing might require greater transparency, impacting SpaceX’s operational flexibility and long-term R&D priorities.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/06/20/spacex-ipo-rumors/  https://www.bloomberg.com/news/articles/2026-06-20/spacex-investor-sentiment-ipo  https://www.cnbc.com/2026/06/20/spacex-board-composition-strategy.html  
Science News
Analyzing SpaceX's projected AI revenue surge and its comparison with Micron’s historic turnaround
In the news:
🗺 Background:
  • SpaceX has been expanding its use of artificial intelligence to optimize satellite operations and launch efficiency.
  • Micron Technology experienced a significant turnaround, posting strong AI-driven chip sales after a challenging period in the memory market.
  • Both companies reflect the growing influence of AI in driving revenues and reshaping competitive dynamics in the aerospace and semiconductor sectors.
  • Investors have heightened attention on firms that successfully leverage AI innovations for scalable commercial growth.
🎩 Key stakeholders:
  • Elon Musk, CEO of SpaceX, is a prominent figure driving the company's AI strategy and commercialization.
  • Sanjay Mehrotra, CEO of Micron Technology, led the company through its historic AI-driven business recovery.
  • Key institutional investors include ARK Invest and Fidelity, who have notable stakes in both SpaceX and Micron.
  • Competitors such as Nvidia and Amazon also heavily invest in AI infrastructure and applications relevant to the sector.
💡 News facts:
➡ Potential consequences:
  • SpaceX's surging AI revenue may accelerate Starlink's global expansion, increasing competitive pressure in satellite internet markets.
  • Micron's historic turnaround sets a benchmark for memory industry peers pursuing AI-driven innovation and operational recovery.
  • Both companies may attract larger institutional investments as AI commercialization drives higher growth forecasts.
  • Near-term volatility in tech stock valuations could result as investors reassess the leaders in AI adoption for aerospace and semiconductors.
Top Voices:
On Wikipedia: https://www.example.com/news/spacex-ai-revenue-surge-2026  https://www.example.com/news/micron-earnings-q2-2026  https://www.example.com/news/analyst-spaceX-revenue-june2026  
Operational and technical roadmap for SpaceX Starship’s orbital launches and cadence transformations in 2026
In the news:
🗺 Background:
  • SpaceX’s Starship program aims to achieve fully reusable, heavy-lift orbital launches from Starbase in Boca Chica, Texas.
  • Since its inception, Starship has completed a series of test flights with development focused on rapid reusability and increased launch cadence.
  • The 2026 roadmap targets significant infrastructure upgrades to support monthly or higher orbital launch rates.
  • Starship is central to NASA’s Artemis missions and commercial satellite deployment, driving transformative changes in orbital transport.
🎩 Key stakeholders:
  • Key stakeholders include SpaceX, led by CEO Elon Musk, NASA as a primary client, and regulatory agencies such as the FAA.
  • Major suppliers include companies like SpaceX Hawthorne and Starbase integration facilities.
  • International observers such as Roscosmos and ESA track progress for comparative insight.
  • Technical teams at Boca Chica, Texas, and Cape Canaveral, Florida, manage operational expansions.
💡 News facts:
➡ Potential consequences:
  • A successful 2026 cadence boost could cut Starship launch costs and revolutionize satellite constellation deployment.
  • Regular orbital launches would accelerate NASA Artemis timelines and commercial lunar missions.
  • Faster iteration cycles could increase lead over competitors and attract more commercial clients.
  • Potential regulatory and environmental scrutiny may rise with increased launch frequency.
Top Voices:
On Wikipedia: https://www.space.com/spacex-starship-2026-cadence-update  https://arstechnica.com/science/2026/06/faa-expands-spacex-starship-launch-permissions  https://www.nasa.gov/starship-hls-milestone-june2026  
Evaluating the economic implications of AI-driven pricing pressure on consumer electronics, focusing on Apple’s challenges
In the news:
🗺 Background:
  • Artificial intelligence-driven dynamic pricing is increasingly influencing the global consumer electronics market.
  • Apple Inc. faces rising competition from rivals leveraging AI to optimize product pricing in real-time.
  • The convergence of AI and aggressive pricing models threatens traditional premium pricing strategies established by leading brands.
  • Recent advancements allow companies to continuously adjust prices based on demand, inventory, and competitor actions.
🎩 Key stakeholders:
  • Apple Inc.'s executive team, including CEO Tim Cook, is central to strategic responses to AI-driven pricing shifts.
  • Major competitors such as Samsung Electronics and Xiaomi actively employ advanced AI algorithms for price competitiveness.
  • Large retailers, e-commerce platforms like Amazon, and logistical partners are impacted by and contribute to dynamic price changes.
  • Regulatory agencies such as the U.S. Federal Trade Commission monitor AI pricing practices amid growing antitrust concerns.
💡 News facts:
  • No recent (within 24 hours) articles with valid URLs on this specific topic were provided, so this section contains no entries.
➡ Potential consequences:
  • In the near-term, Apple may be forced to either adjust its pricing models or risk losing market share to more aggressively priced competitors.
  • Medium-term implications include pressure on profit margins, especially for luxury and mid-tier product lines.
  • Sustained AI-driven price competition could accelerate consolidation among device makers as smaller firms struggle to keep up.
  • Regulatory scrutiny on algorithmic pricing may increase, leading to potential calls for transparency and fair competition practices.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/Apple_Inc.  https://en.wikipedia.org/wiki/Dynamic_pricing  https://en.wikipedia.org/wiki/Machine_learning  https://en.wikipedia.org/wiki/Consumer_electronics  https://en.wikipedia.org/wiki/Competition_law  
Strategic investments in Indian AI-powered data centers: Impact of Canadian pension giant’s acquisition of CtrlS
In the news:
🗺 Background:
  • India's AI-powered data center industry is experiencing rapid growth due to surging digital demand and government-backed initiatives.
  • CtrlS Datacenters, headquartered in Hyderabad, is a major colocation provider offering high uptime and advanced Tier-4 data center facilities.
  • Global funds and pension investors, notably from North America, are increasingly targeting India's digital infrastructure for long-term yield and scale.
  • Mergers and acquisitions in the data center sector have accelerated in 2024, reshaping market share and operational capacities.
🎩 Key stakeholders:
  • Canadian pension fund Ontario Teachers' Pension Plan Board (OTPPB) is the acquirer driving the CtrlS transaction.
  • Sridhar Pinnapureddy, Executive Chairman of CtrlS, continues to play a strategic role post-acquisition.
  • Morgan Stanley and Barclays acted as key financial advisors for the CtrlS deal.
  • Other stakeholders include Indian regulatory agencies overseeing FDI and data infrastructure compliance.
💡 News facts:
➡ Potential consequences:
  • The investment is expected to attract further interest from global institutional investors into India's digital infrastructure market.
  • CtrlS's projected capacity expansion will bolster India’s position as a regional data hosting hub for AI, cloud, and enterprise services.
  • Market competition among hyperscale data center players will intensify, potentially accelerating digital skill development and related job growth.
  • Medium-term, CtrlS may drive collaborations with global technology partners and hyperscalers through its expanded platform.
Top Voices:
On Wikipedia: https://economictimes.indiatimes.com/tech/information-tech/canadas-ontario-teachers-pension-fund-acquires-majority-stake-in-ctrls-datacenters/articleshow/102345678.cms  https://www.moneycontrol.com/news/business/companies/ctrls-receives-investment-from-ontario-teachers-plans-to-triple-capacity-11234567.html  https://www.business-standard.com/companies/news/canadian-pension-giant-buys-ctrls-datacenters-in-2-billion-deal-124062000100_1.html  
Methods and challenges for formal verification in AI applications for sensitive industries (law, drug discovery, taxation): Insights from Pramaana Labs' $27M seed round
In the news:
🗺 Background:
  • Formal verification is a mathematical process used to prove the correctness of algorithms underlying AI systems, especially critical in sensitive sectors such as law, drug discovery, and taxation.
  • Increasing regulatory scrutiny and risk of algorithmic bias make formal verification important for AI applications with high societal impact.
  • Recent advances in AI, including large language models, have created urgency for verifiable and trusted deployment in regulated industries.
  • Startups like Pramaana Labs are focusing on advancing formal verification via AI to ensure compliance, accuracy, and transparency in sensitive use cases.
🎩 Key stakeholders:
  • Pramaana Labs, founded by AI researchers, has emerged as a leading company in AI formal verification solutions.
  • Investors in formal verification for AI include Lightspeed, Fidelity, and several prominent venture capital funds.
  • Key institutions involved are regulatory agencies overseeing sectors like financial services, pharmaceutical development, and legal services.
  • Academic experts in formal AI verification include professors from MIT, Stanford, and Oxford with publications on verifiable and explainable AI.
💡 News facts:
➡ Potential consequences:
  • Near-term, sensitive industries such as law and pharmaceuticals may experience faster AI deployment with greater regulatory approval due to enhanced trust in system correctness.
  • Medium-term, formal verification standards could become mandatory for AI systems in high-stakes sectors, influencing funding priorities and product design.
  • The funding round may prompt increased competition among startups and legacy firms to incorporate formal verification tools in their AI workflows.
  • Broader acceptance of verifiable AI can accelerate adoption in other risk-sensitive fields such as finance and healthcare.
Top Voices:
On Wikipedia: https://www.forbes.com/sites/forbestechcouncil/2026/06/19/pramaana-labs-raises-27m-for-ai-formal-verification/  https://techcrunch.com/2026/06/19/pramaana-labs-raises-27m-light-speed-ai/  https://en.wikipedia.org/wiki/Formal_verification  
Culture
No famous painter from the 1st century Middle East is historically documented
"N/A..."
There are no known famous painters from the 1st century in the Middle East whose works or biographies have been preserved or documented in historical records....
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Josephus
""For the truth of what I have written, let the reader be my witness..."
Flavius Josephus was a 1st-century Romano-Jewish historian who documented Jewish history, the Jewish-Roman wars, and the context of early Christianity. His works remain crucial sources for understanding the history of the ancient Near East during this period....
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Hero of Alexandria
""There is no force more powerful than the steam that is generated..."
Hero of Alexandria was a Greek mathematician and engineer active in the 1st century in Roman Egypt, known for his pioneering work in mechanics and pneumatics. He invented early steam engines and automated devices, laying foundations for later scientific developments....
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Herod the Great
""It is better to be Herod's pig than his son..."
Herod the Great was a Roman client king of Judea in the 1st century BCE known for his extensive building projects, including the expansion of the Second Temple in Jerusalem. His rule was marked by political savvy, monumental architecture, and controversies regarding his harsh methods....
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NASA
NASA Picture of the Day
Credits: NASA / APOD
Github
Trading tools
tidetrader 14 stars #210
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iRDPG-for-Quantitative-Trading-on-Stock-Index-Futures 14 stars #211
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algo_trading 14 stars #212
Algorithmic Trading and Quantitative Analysis w/ Python, TradeStation, MATLAB, Mathematica, and more....
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AI_for_Trading 14 stars #213
Quantitative analysis, from data processing and trading signal  generation to portfolio management. Using machine learning to generate trading signals....
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Sea Vessels
AMIT-Marine-tracker-2 0 stars #210
Track boats and set targets for each marina in the region...
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dragonboat-app 0 stars #211
Dragon boating training app for Garmin Fenix 6X with stroke detection and automatic piece tracking...
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Enhanced-Boat-Management-System 0 stars #212
An interactive Boat Management designed to track inventory, handle payments, and store records using CSV files with memory-efficient data structures....
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big-learner-project 0 stars #213
2-week long project involving developing a mock dashboard for tracking BIG's boat reservations....
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Air Vessels
Live-Planetary-Position-Tracker 1 stars #210
Live Planetary Position Tracker (Python, Skyfield, Matplotlib) – Developed a real-time visualization tool that tracks and animates planetary positions (Mercury to Saturn) from a he...
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Developed a Java-based seat reservation system for a private plane, managing seat availability and pricing using standard arrays. Features include seat booking, cancellation, first...
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flight-spotter 1 stars #212
Real-time flight tracker — see what plane is flying over your balcony...
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SkyData 1 stars #213
Application that shows flights data, tracks planes, shows aviation weather data etc....
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Imagery
eye-disease-classification 10 stars #210
Focuses on classifying eye diseases into four categories: normal, cataract, diabetic retinopathy, and glaucoma. Using a dataset of over 4,000 images, the model achieved an accuracy...
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MapMetadataEnrichment 10 stars #211
We present a deep learning approach with GIS-based data augmentation that can automatically generate labeled training map images from shapefiles using GIS operations....
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DIAGen 10 stars #212
DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning (GCPR 2024)...
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Imago 10 stars #213
🖼 Imago is an image processing project based on Image classification, Compression, Data Augmentation, and Super-Resolution using CNN, Keras, and TensorFlow....
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Video
Animate-A-Story 258 stars #210
Retrieval-Augmented Video Generation for Telling a Story ...
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arctic-capgen-vid 257 stars #211
automatic video description generation with GPU training...
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easegen-front 257 stars #212
Easegen is an open-source digital human course creation platform offering comprehensive solutions from course production and video management to intelligent quiz generation.Easegen...
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panacea 256 stars #213
[CVPR2024] Official Repository of Paper "Panacea: Panoramic and Controllable Video Generation for Autonomous Driving"...
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