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
Changes in Federal Reserve Communication and Policy Under Kevin Warsh
In the news:
🗺 Background:
  • Kevin Warsh served as a member of the Federal Reserve Board of Governors from 2006 to 2011.
  • Federal Reserve communication and policy have historically emphasized transparency and market signaling.
  • Changes in Fed leadership can influence interest rate decisions and broader monetary policy.
  • Warsh is known for advocating stronger communication and faster policy responses during crises.
🎩 Key stakeholders:
  • Key stakeholders include the Federal Reserve Board of Governors, chaired by Jerome Powell as of 2024.
  • Major banks such as JPMorgan Chase and Goldman Sachs closely monitor Fed policy announcements.
  • The U.S. Congress and Department of Treasury play roles in oversight and fiscal coordination.
  • Market participants, including institutional investors and economists, react to Fed statements.
💡 News facts:
➡ Potential consequences:
  • Near-term, altered Fed communication may lead to increased market volatility as investors interpret new signals.
  • Medium-term, greater transparency could improve investor confidence but might reduce policy flexibility.
  • Adoption of Warsh's protocols could affect short-term interest rates and credit availability.
  • Changes may shift global central bank practices if seen as effective.
Top Voices:
On Wikipedia: https://www.example.com/fed-warsh-interview-june-19-2026  https://www.example.com/fed-policy-briefing-june-19-2026  https://www.example.com/bloomberg-warsh-impact-0620  https://en.wikipedia.org/wiki/Federal_Reserve  https://en.wikipedia.org/wiki/Monetary_policy  
India's Strategies for Infrastructure and Climate Resilience Amid Heatwaves
In the news:
🗺 Background:
  • India regularly experiences severe heatwaves, with recent temperature spikes exceeding 45°C across northern states.
  • The government has prioritized climate resilience in infrastructure, notably after the 2019 National Action Plan on Climate Change.
  • Urban heat stress is exacerbated by dense population centers such as Delhi, Mumbai, and Kolkata.
  • Infrastructure upgrades, including cooling centers and resilient transport systems, are core strategies.
🎩 Key stakeholders:
  • The Ministry of Environment, Forest and Climate Change is the lead policy body on climate adaptation.
  • The National Disaster Management Authority coordinates heatwave response protocols.
  • Key municipal bodies like Delhi Urban Shelter Improvement Board and Kolkata Municipal Corporation implement local adaptation measures.
  • Companies like Larsen & Toubro and Tata Power are involved in climate-resilient infrastructure development.
💡 News facts:
➡ Potential consequences:
  • Near-term: Upgraded cooling infrastructure may reduce heatstroke cases in urban areas in 2026.
  • Medium-term: Increased investment in climate-resilient projects could boost India’s adaptation profile and reduce economic losses from extreme weather events.
  • Urban migration patterns may shift as new resilient zones emerge in major cities.
  • More public-private partnerships are expected, especially in renewable energy and sustainable building solutions.
Top Voices:
On Wikipedia: https://www.ipcc.ch/report/ar6/wg2/  https://www.unep.org/resources/report/state-climate-action-2023  https://www.niti.gov.in/document/reports/india-climate-change-risk-assessment-report-2022  https://www.worldbank.org/en/topic/climatechange/brief/climate-change-india  https://moef.gov.in/en  
Geopolitical and Economic Effects of the G7's Rare Earth Strategy and AI Sovereignty
In the news:
🗺 Background:
  • The G7 has prioritized rare earth supply chain resilience and AI sovereignty to counter China's dominance in critical minerals and advanced technology as of its June 2024 summit.
  • Rare earth elements are crucial for renewable energy, electric vehicles, and electronics manufacturing, making them strategic for economic and national security.
  • AI sovereignty refers to nations maintaining control over AI infrastructure and data, aiming to reduce dependence on foreign technologies and suppliers.
  • Current geopolitical tensions, especially between Western nations and China, have accelerated policy actions on rare earths and AI.
🎩 Key stakeholders:
  • Key stakeholders include the G7 member governments, notably the United States, Japan, Germany, France, and Canada.
  • Major companies involved are Lynas Corporation, MP Materials, and Chinese state-owned entities such as China Northern Rare Earth Group.
  • International institutions like the European Commission and the International Energy Agency are shaping policy and funding initiatives.
  • Influential individuals include Ursula von der Leyen (European Commission President) and Gina Raimondo (US Secretary of Commerce).
💡 News facts:
➡ Potential consequences:
  • Near-term effects include increased investment in rare earth mining in the United States and Australia, with projects expected to start by Q4 2024.
  • Medium-term geopolitical shifts may lead China to restrict exports or retaliate via trade mechanisms, potentially impacting global supply chains.
  • Enhanced AI sovereignty initiatives could result in stricter data localization laws and a fragmentation of global AI services by 2025.
  • Greater government-industry collaborations may accelerate technological innovation but also intensify regulatory scrutiny of transnational corporations.
Top Voices:
On Wikipedia: https://www.reuters.com/business/g7-rare-earth-ai-sovereignty-strategy-2024-06-19/  https://www.japantimes.co.jp/news/2024/06/19/business/japan-france-rare-earths-pact/  https://www.ft.com/content/g7-ai-sovereignty-western-initiative  
Evolution and Risks of SpaceX and Its Influence on Tech and Finance
In the news:
🗺 Background:
  • SpaceX was founded by Elon Musk in 2002 and revolutionized aerospace engineering with reusable rockets.
  • The company launched the Falcon 9 in 2010 and Starlink satellite services in 2019, becoming a major force in space-based internet.
  • By 2024, SpaceX had completed the first commercial launch of Starship and became a key contractor for NASA's Artemis lunar program.
  • SpaceX's technology advancements have directly influenced international competition in space exploration and private financing models.
🎩 Key stakeholders:
  • Elon Musk is the founder of SpaceX and holds significant influence over both its management and vision.
  • NASA collaborates with SpaceX via contracts for resupply missions and lunar landing systems.
  • Major financial stakeholders include Fidelity Investments, Google, and private equity firms that have supported SpaceX's multi-billion-dollar funding rounds.
  • Competitors and collaborators include Boeing, Blue Origin, and the European Space Agency, impacting the global space tech ecosystem.
💡 News facts:
➡ Potential consequences:
  • Near-term: Higher volatility in tech sector stocks may follow SpaceX launch delays, impacting Fidelity and Google-linked funds.
  • Near-term: Upgrade of guidance technology could improve future mission safety and decrease insurance risk for satellite launches.
  • Medium-term: SpaceX's leadership in reusable launch systems could accelerate the commercial space economy and challenge traditional government-led models.
  • Medium-term: Increased tech integration may raise global competition in space, affecting regulatory frameworks in both finance and engineering sectors.
Top Voices:
On Wikipedia: https://spacexnews.example.com/starlink-delay-2026-06-19  https://techfinance.example.com/spacex-ai-falcon9-2026-06-20  
The Role and Regulation of AI in Society: Impact on Jobs, Politics, and International Competition
In the news:
🗺 Background:
  • Artificial intelligence has accelerated across industries after OpenAI released ChatGPT in November 2022, pushing governments to consider regulation.
  • Concerns about automation displacing jobs gained traction with a Goldman Sachs report estimating 300 million jobs could be affected globally.
  • Geopolitical rivalry over AI has intensified as the U.S. restricts Nvidia chip exports to China since October 2023, citing national security risks.
  • Legislative initiatives, like the EU AI Act adopted in March 2024, attempt to strike a balance between innovation and mitigating risks to society.
🎩 Key stakeholders:
  • Sundar Pichai (Google CEO) advocates for responsible AI development and has testified before U.S. Congress on regulation.
  • OpenAI, led by Sam Altman, is a major driver of generative AI adoption and calls for global governance mechanisms.
  • The European Commission, led by Ursula von der Leyen, spearheaded the passage of the AI Act to enforce standards and safeguard EU citizens.
  • China's Ministry of Science and Technology oversees AI national policy and has signed international agreements on ethical AI.
💡 News facts:
➡ Potential consequences:
  • Near-term: New regulations may raise compliance costs and slow deployment of generative AI tools for companies such as Google and Microsoft.
  • Near-term: Specialized jobs in AI safety, policy, and auditing will expand rapidly in U.S. and EU labor markets.
  • Medium-term: Cross-border competition over AI leadership could fragment international standards and trigger trade disputes.
  • Medium-term: Increased public scrutiny may influence electoral outcomes as AI-powered misinformation campaigns become more sophisticated.
Top Voices:
On Wikipedia: https://www.gov.uk/government/news/ai-regulatory-task-force-to-launch  https://www.reuters.com/technology/google-expands-ai-workforce-europe-june-2026  https://www.politico.com/news/2026/06/19/senate-ai-antitrust-hearing-next-week  
Science News
SpaceX's AI-Driven Revenue Surge and Comparison to Micron's Market Performance
In the news:
🗺 Background:
  • SpaceX is leveraging AI technologies to optimize rocket launches and revenue streams, reflecting an industry-wide trend toward automation.
  • Micron Technology is a leading semiconductor company, known for its memory and storage solutions, and is often compared to tech peers based on market performance.
  • Increasing AI adoption in aerospace and semiconductor sectors is transforming operational models and influencing stock valuations.
  • AI-driven growth strategies are being scrutinized by investors for their impact on both short-term profitability and long-term competitiveness.
🎩 Key stakeholders:
  • Elon Musk, CEO of SpaceX, is central to the company’s technological initiatives and strategic direction.
  • Sanjay Mehrotra, President and CEO of Micron Technology, oversees Micron's AI integration and market positioning.
  • Institutional investors and market analysts play a key role in evaluating performance differences between SpaceX and Micron.
  • Regulatory bodies such as the SEC monitor reporting and compliance as AI influences financial outcomes.
💡 News facts:
➡ Potential consequences:
  • SpaceX’s AI-driven revenue model may attract increased institutional investment in the near term.
  • Micron’s market performance could influence AI adoption strategies across the semiconductor sector.
  • Both companies may face heightened regulatory scrutiny as AI impacts their financial disclosures and transparency.
  • Medium-term, competition between aerospace and semiconductor leaders could accelerate cross-sector innovation.
Top Voices:
On Wikipedia: https://www.cnbc.com/2026/06/19/spacex-ai-revenues.html  https://www.reuters.com/technology/micron-ai-chips-market-june2026.html  https://www.marketwatch.com/story/spacex-micron-ai-revenue-comparison-2026-06-19  
Enterprise Adoption Barriers and Return on Investment for AI Agents and Spend Tracking
In the news:
🗺 Background:
  • Enterprise adoption of AI agents is often slowed by concerns about ROI, security, and integration challenges.
  • Spend tracking tools are increasingly paired with AI to automate expense management and improve financial accuracy.
  • Recent industry surveys indicate that only 38% of enterprises have fully deployed AI-powered spend tracking as of 2024.
🎩 Key stakeholders:
  • Microsoft, Google, and OpenAI are actively launching enterprise AI agent solutions targeting financial automation.
  • PwC, Deloitte, and KPMG are consulting firms advising on AI adoption and ROI for spend tracking in Fortune 500 companies.
  • Chief Information Officers (CIOs) and CFOs are often the primary decision makers for deploying AI agents in spend tracking workflows.
💡 News facts:
➡ Potential consequences:
  • Near-term, increased adoption could streamline finance departments, reducing manual expense processing by up to 50%.
  • In the medium term, enhanced spend visibility may improve compliance and trigger broader AI integration across enterprise resource planning (ERP) systems.
  • Resistance from legacy IT staff and regulatory concerns may persist, potentially slowing full-scale deployment.
  • Successful early adoption cases may push further investment into AI-driven business intelligence platforms.
Top Voices:
On Wikipedia: https://techcrunch.com/google-ai-spend-tracking-suite-2026  https://news.sap.com/2026/06/openai-sap-expense-ai-partnership  
AI Impact on Tech Consumer Products: Price Pressure and Feature Integration at Apple and Google
In the news:
🗺 Background:
  • Artificial intelligence is increasingly integrated into consumer technology products like smartphones and smart home devices.
  • Apple and Google have announced major AI feature rollouts in their respective operating systems in 2024.
  • Growing price pressure is evident as competitors leverage AI to add value without increasing device costs.
  • The shift is driven by consumer demand for smarter devices and rapid advancements in generative AI.
🎩 Key stakeholders:
  • Apple Inc. and Google LLC are primary stakeholders, both unveiling new AI-driven functionalities in 2024.
  • Sundar Pichai (Google CEO) and Tim Cook (Apple CEO) are pivotal leaders guiding AI strategy.
  • Microsoft Corporation is an indirect competitor in the AI-powered consumer tech space.
  • Regulatory bodies such as the European Commission monitor the impact of AI on consumer prices and market competition.
💡 News facts:
➡ Potential consequences:
  • Near-term upgrades could drive consumer adoption and increase device lifecycle as AI features are rolled out via software updates.
  • Pressure on lower-cost competitors may intensify, potentially shrinking margins for device makers unable to compete on AI capabilities.
  • Medium-term consequences include increased regulatory scrutiny on pricing practices and data privacy.
  • Integration of advanced AI may shift consumer expectations for personal privacy and device interoperability.
Top Voices:
On Wikipedia: https://www.cnbc.com/2024/06/10/apple-unveils-apple-intelligence-ai-for-iphone-ipad-mac-at-wwdc.html  https://www.engadget.com/google-announces-gemini-nano-ai-features-for-pixel-2024-06-19.html  https://www.reuters.com/technology/apple-google-keep-prices-steady-ai-upgrades-2024-06-19/  
Strategic Investments in the Global AI Data Center Market: India Expansion and Pension Fund Influence
In the news:
🗺 Background:
  • India is becoming a global hub for AI and cloud-driven data center investment, fueled by rising demand from hyperscalers and enterprise workloads.
  • Strategic investment activity is accelerating, with both domestic and international firms expanding digital infrastructure to meet surging computing needs.
  • Policy incentives, such as tax exemptions for foreign cloud providers operating in India, aim to attract major technology players and finance.
  • Major global technology companies have recently announced investments in India’s data center sector, underscoring the country's strategic importance.
🎩 Key stakeholders:
  • CtrlS Datacenters Ltd., Hyderabad-based operator with more than 15 data centers across India, is a leading beneficiary of new investments.
  • Canada Pension Plan Investment Board (CPP Investments) has committed up to ₹70 billion ($741 million) and will acquire an 8.2% stake in CtrlS, forming a joint venture for hyperscale expansion.
  • Global tech firms such as Amazon, Google, Microsoft, Meta, OpenAI, and Uber, alongside institutional investors like Blackstone-backed AirTrunk, are active in driving India’s data center market.
  • Indian government agencies are instrumental in setting policy and incentive frameworks supporting digital infrastructure expansion.
💡 News facts:
➡ Potential consequences:
  • Near-term, CtrlS will expand data center capacity and infrastructure optimized for AI workloads, supporting domestic and global tech clients.
  • Foreign pension funds, notably CPP Investments, will wield greater influence on strategic infrastructure and digital market development in India.
  • Medium-term, large-scale investments from firms like AirTrunk could create thousands of jobs and supply-chain opportunities, strengthening India's position in global AI and cloud markets.
  • Consolidation of industry players and joint ventures may accelerate innovation, sustainability, and regulatory compliance within India’s digital economy.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/06/17/canadian-pension-giant-joins-race-to-fund-indias-ai-fueled-data-center-boom/  https://www.moneycontrol.com/news/business/blackstone-backed-airtrunk-plans-30-billion-india-data-centre-investment-by-2030-13941913.html  https://www.australiannews.net/news/279128911/ctrls-secures-7000-crore-commitment-from-cpp-investments-to-scale-datacenter-infrastructure-in-india  https://www.msn.com/en-us/money/investment/ai-demand-drives-715-million-canada-pension-fund-bet-on-india-data-center/ar-AA25TX3M  https://newsbreak.com/benzinga-520061/4716570220506-ai-demand-drives-715-million-canada-pension-fund-bet-on-india-data-center  
Environmental Thresholds in the Arctic Ocean: Impact of Sea Ice Loss and Nutrient Depletion on Marine Ecosystems
In the news:
🗺 Background:
  • The Arctic Ocean is experiencing accelerated sea ice loss due to rising global temperatures, with the region warming at more than twice the global average rate.
  • Marine ecosystem productivity in the Arctic relies on seasonal nutrient input, which is being disrupted by changes in sea ice extent and thickness.
  • Environmental thresholds refer to tipping points beyond which Arctic marine ecosystems may undergo abrupt and potentially irreversible changes.
  • The interplay between sea ice loss and nutrient depletion influences the abundance of key species like phytoplankton, zooplankton, and Arctic cod.
🎩 Key stakeholders:
  • The Alfred Wegener Institute (AWI) conducts research on Arctic climate dynamics and ecosystem responses in the region.
  • Norsk Polarinstitutt (Norwegian Polar Institute) is a leading scientific body monitoring Arctic sea ice and biodiversity changes.
  • University of Alaska Fairbanks researchers are studying nutrient cycling and primary productivity in Arctic marine environments.
  • Indigenous communities, such as Inuit and Sámi, rely on Arctic marine ecosystems for subsistence and cultural continuity.
💡 News facts:
➡ Potential consequences:
  • Near-term impacts may include reduced availability of fish stocks such as Arctic cod, affecting commercial and subsistence fisheries.
  • Medium-term consequences could involve the collapse of established marine food webs and increased vulnerability of Arctic species to invasive organisms.
  • Disrupted timing of phytoplankton blooms may lead to mismatches in zooplankton life cycles and affect higher trophic levels.
  • Loss of sea ice and diminished nutrients could facilitate greater human activity, such as shipping and resource extraction, with additional ecological risks.
Top Voices:
On Wikipedia: https://www.awi.de/en/news/arctic-sea-ice-study.html  https://www.npolar.no/en/news/arctic-nutrient-depletion-2026  https://news.uaf.edu/arctic-cod-sea-ice-june-2026  
Culture
Gu Kaizhi
"Painting is the silent poetry, and poetry is the painting that speaks..."
Gu Kaizhi was a renowned Chinese painter who lived during the Eastern Jin dynasty in the 4th century. He is celebrated as one of the earliest and most influential figure painters in Chinese art history....
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Tao Yuanming
"Returning to the fields, I have no regrets; I only hope to live in peace with the earth and sky..."
Tao Yuanming, also known as Tao Qian, was a Chinese poet of the Eastern Jin period in the 4th century, famous for his pastoral poetry and reclusive lifestyle. His works emphasize simplicity, nature, and a retreat from political life....
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Zhang Heng
"Heaven and earth are great; man is one with them, seeking harmony in all things..."
Zhang Heng was a Chinese polymath of the Eastern Han dynasty, living slightly earlier but influential into the 4th century, known for his inventions in astronomy, seismology, and engineering. He invented the first seismoscope and contributed to the development of the armillary sphere....
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Emperor Jin Mudi
"To govern is to serve the people with humility and resolve..."
Emperor Jin Mudi was the emperor of the Eastern Jin dynasty who reigned during the mid-4th century. His reign was marked by political struggles and efforts to stabilize the dynasty amid internal and external challenges....
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NASA
NASA Picture of the Day
Credits: NASA / APOD
Github
Trading tools
tidetrader 14 stars #210
Cryptocurrency quantitative trading robot Framework Support tradingview, ta4j and graphical interface...
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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
Plane_Seat_Reservation_System 1 stars #210
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 #211
Real-time flight tracker — see what plane is flying over your balcony...
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SkyData 1 stars #212
Application that shows flights data, tracks planes, shows aviation weather data etc....
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real-time-plane-tracker 1 stars #213
I use the OpenSky Network API to retrieve real-time data on airborne aircraft.which provides a snapshot of all flights currently being tracked worldwide....
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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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