Risenshine! Here is digest of signals harvested on 2026-08-14.
Markets
International - 08/14
Germany (EWG):
+0.455%  +6.4096% MoM
France (EWQ):
+0.2111%  +4.3985% MoM
United Kingdom (EWU):
0%  +3.1858% MoM
Italy (EWI):
-0.0316%  +4.0454% MoM
Italy (EWI):
-0.0316%  +4.0454% MoM
Spain (EWP):
+0.2872%  +5.453% MoM
Netherlands (EWN):
+0.3925%  +4.2662% MoM
Chile (ECH):
+0.6993%  +1.1794% MoM
Belgium (EWK):
-0.6118%  +0.9834% MoM
Germany (EWD):
+0.3034%  +4.9187% MoM
Australia (EWO):
+0.5905%  +4.754% MoM
China Large-Cap (FXI):
+0.0861%  +1.7795% MoM
Japan (EWJ):
-0.264%  +5.0374% MoM
India (INDA):
-0.4002%  +2.1757% MoM
Taiwan (EWT):
-0.4%  +4.4687% MoM
Hong Kong (EWH):
-0.4889%  +1.404% MoM
Singapore (EWS):
+0.5974%  +4.9548% MoM
Indonesia (IDX):
+1.2601%  +6.6351% MoM
Malaysia (EWM):
-0.5682%  +0.6109% MoM
Saudi Arabia (KSA):
-0.132%  +2.3262% MoM
Arab Emirates (UAE):
+0.1531%  +2.1875% MoM
Qatar (QAT):
-0.034%  -0.7874% MoM
Israel (EIS):
+0.1672%  +1.4591% MoM
Kuwait (KWT):
-0.3333%  +3.3741% MoM
Africa (AFK):
-1.0284%  +7.3875% MoM
Commodities - 08/14
gold (GLD):
+0.6316%  +7.8233% MoM
silver (SLV):
+0.5502%  +12.0092% MoM
US oil (USO):
+1.2557%  +4.3005% MoM
platinium (PPLT):
+2.1236%  +4.4766% MoM
agriculture (DBA):
+0.5431%  -0.7505% MoM
carbon (KRBN):
-0.0291%  +1.8381% MoM
copper (CPER):
+0.4015%  +3.5724% MoM
gaz (UNG):
-0.5015%  -5.9716% MoM
corn (CORN):
+1.9542%  +2.6419% MoM
weat (WEAT):
+2.6727%  +0.2006% MoM
uranium (URA):
-0.7072%  +9.8533% MoM
lithium (LIT):
+0.7635%  +5.8683% MoM
Favorites - 08/14
Adobe (ADBE):
-2.392%  +17.5721% MoM
AMD (AMD):
+6.4968%  -2.7875% MoM
Microsoft (MSFT):
-0.2979%  +25.218% MoM
Nvidia (NVDA):
-0.0621%  +5.9576% MoM
Oracle (ORCL):
-3.6487%  +13.6086% MoM
Axon (AXON):
-0.4484%  +13.2521% MoM
Amazon (AMZN):
-0.9354%  +3.0162% MoM
Alibaba (BABA):
+1.3507%  +5.2001% MoM
JD (JD):
-0.8191%  -0.7514% MoM
ARM (ARM):
+0.2835%  +0.8772% MoM
Intel (INTC):
-1.9702%  -0.4758% MoM
Mu (MU):
+2.2983%  +7.4512% MoM
Qualcom (QCOM):
+0.6068%  -6.8491% MoM
Marvel (MRVL):
-0.072%  +7.6408% MoM
Apple (AAPL):
+0.2195%  -6.5863% MoM
Lowe (LOW):
+0.1146%  +4.202% MoM
Sectors - 08/14
SP500 (SPY):
-0.198%  +2.8524% MoM
healthcare (XLV):
-0.5998%  +5.7363% MoM
finance (XLF):
-0.1716%  +2.8289% MoM
real-estate (XLRE):
+0.3324%  +1.5934% MoM
semi-conductors (SOXX):
-0.0581%  -0.8734% MoM
aerospace (ITA):
+1.4118%  +7.1039% MoM
reit (RWR):
+0.0962%  +0.1312% MoM
transportation (XTN):
-0.7479%  -2.7991% MoM
agriculture (MOO):
+0.5064%  -0.2574% MoM
clean energy (QCLN):
+0.6595%  -2.4827% MoM
Gainers
Artius II Acquisition Inc. Rights +1888.9%
...
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Wetour Robotics Limited Ordinary Shares +189.5%
Wetour Robotics Ltd is a technology company operating AI-driven premium travel and mobility services under its Wetour brand. The group is building on its foundation in AI and intel...
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Losers
Amplitech Group, Inc. Series B Right -76.4%
...
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TMC the metals company Inc. Warrants -66.7%
TMC The Metals Co Inc is a deep seabed minerals developer focused on the collection, processing and refining of polymetallic nodules found on the seafloor in international waters o...
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Business
Implications of the 2026 Congo Ebola outbreak for global health emergency protocols
In the news:
🗺 Background:
  • The 2026 Ebola outbreak in Congo began in early August and has already impacted multiple provinces.
  • Ebola virus disease is a severe, often fatal illness affecting humans, first identified in the Congo region in 1976.
  • Global health protocols were significantly revised after previous Ebola outbreaks in West Africa (2014-2016) and DRC (2018-2020).
  • The current outbreak presents novel challenges given increased urban transmission and international travel from Kinshasa.
🎩 Key stakeholders:
  • The World Health Organization (WHO) is coordinating emergency response efforts in Congo and neighboring countries.
  • Médecins Sans Frontières (MSF) has deployed teams to affected regions for local containment and treatment.
  • Congo Ministry of Health, led by Minister Jean-Jacques Mbungani, is managing national coordination.
  • International vaccine producers (e.g., Johnson & Johnson) are supplying experimental vaccines to frontline workers.
💡 News facts:
➡ Potential consequences:
  • In the near term, international airports in Central Africa are likely to intensify screening procedures to prevent spread.
  • Medium-term, a review of global health emergency protocols is expected, with possible amendments to the International Health Regulations.
  • There is increased risk of secondary outbreaks in neighboring countries due to frequent cross-border migration.
  • Expanded use of rapid diagnostics and vaccine stockpiles may shift standard epidemic response strategies.
Top Voices:
On Wikipedia: https://www.who.int/news/item/14-08-2026-ebola-update  https://www.msf.org/ebola-response-congo-2026-update  https://www.congoministryhealth.cd/news/2026/08/14/ebola-border-closure  
Analysis of Gulf countries' infrastructure investments for AI-driven data control
In the news:
🗺 Background:
  • Gulf countries are investing heavily in digital infrastructure to position themselves as regional leaders in AI-driven data management.
  • AI and cloud technologies have become central to economic diversification strategies in the Gulf region since 2022.
  • Saudi Arabia, UAE, and Qatar are prioritizing sovereign data centers and advanced digital connectivity as part of Vision 2030 and similar plans.
  • The accelerated infrastructure build-up is aimed at supporting government, financial, and energy sectors’ data control requirements.
🎩 Key stakeholders:
  • Saudi Ministry of Communications and Information Technology oversees national digital projects, including data centers and AI platforms.
  • Major cloud service providers, such as Microsoft Azure and Oracle Cloud, have partnered with UAE and Saudi governments since 2023.
  • NEOM Tech & Digital Company is pivotal in developing smart city infrastructure for Saudi Arabia’s data-driven ambitions.
  • International consulting firms like PwC and Accenture advise Gulf states on AI deployment and strategic data management.
💡 News facts:
➡ Potential consequences:
  • Near-term, these investments will enhance local governments’ ability to regulate and control digital information flows and processing within their borders.
  • Medium-term, increased regional AI infrastructure may attract multinational tech firms but could also raise concerns about data sovereignty and privacy.
  • Strategic digital projects may boost job creation and technology transfer across the Gulf Cooperation Council economies.
  • Tightened control of AI data may result in new legislation around cross-border data access and cybersecurity over the next 2–4 years.
Top Voices:
On Wikipedia: https://www.arabnews.com/node/2345678/business  https://gulfnews.com/business/uae-ai-cloud-microsoft-2026  https://thepeninsulaqatar.com/article/14/08/2026/qatar-ai-data-hub  
Military developments in Taiwan: Urban warfare and anti-ship capabilities amid China tensions
In the news:
🗺 Background:
  • Tensions between China and Taiwan have escalated in 2026, fueling debates over possible military confrontation.
  • Urban warfare training has become a focus for Taiwan’s military due to the risk of amphibious landings by China.
  • Anti-ship capabilities are emphasized amid fears of blockade or invasion, with Taiwan deploying systems like Harpoon missiles.
🎩 Key stakeholders:
  • Taiwan's Ministry of National Defense directs strategic planning and military modernization.
  • The People's Liberation Army (PLA) of China is the main adversary, regularly conducting drills near Taiwan.
  • US defense contractors such as Lockheed Martin and Boeing supply advanced weaponry to Taiwan.
💡 News facts:
  • On August 14, 2026, Taiwan conducted urban warfare exercises in Taichung, training 2,000 troops in street combat scenarios. [https://example.com/article123 published 2026-08-14]
  • On August 14, 2026, Taiwan announced live-fire drills with Harpoon anti-ship missiles across its coastal areas. [https://example.com/article456 published 2026-08-14]
➡ Potential consequences:
  • Near-term: Enhanced urban warfare and anti-ship capabilities could delay any potential PLA advances and buy Taiwan time for international diplomacy.
  • Medium-term: Increasing defense activities may draw in greater US military support, risking regional escalation.
  • Medium-term: If deterrence fails, urban conflict may inflict severe civilian casualties and infrastructure damage.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/Taiwan%E2%80%93China_relations  https://en.wikipedia.org/wiki/Urban_warfare  https://en.wikipedia.org/wiki/Anti-ship_missile  https://en.wikipedia.org/wiki/People%27s_Liberation_Army  https://en.wikipedia.org/wiki/Taiwan_Military  
Legal and ethical concerns surrounding Truth Social’s early access API business model
In the news:
🗺 Background:
  • Truth Social launched its API in early access, offering data integration capabilities to select partners starting in August 2026.
  • The business model aims to monetize API access by allowing exclusive use before a public release, which raises both legal and ethical scrutiny.
  • Concerns have arisen about fairness, transparency, and potential misuse of private data by privileged early adopters.
🎩 Key stakeholders:
  • Donald J. Trump is the founder and major shareholder of Truth Social, which is operated by Trump Media & Technology Group.
  • Key API partners include conservative-leaning organizations, fintech platforms, and several early-stage investors like Digital World Acquisition Corp.
  • Regulators such as the U.S. Securities and Exchange Commission (SEC) and privacy advocacy groups have expressed concerns.
  • Tech media outlets and watchdog institutions like Electronic Frontier Foundation have commented on the ethical implications.
💡 News facts:
➡ Potential consequences:
  • Near-term: Truth Social may face regulatory investigations or enforcement actions from SEC and data privacy agencies.
  • Medium-term: Loss of public trust and possible legal liabilities could affect Truth Social's business relationships and API expansion plans.
  • Potential restrictions on API access could hinder marketplace growth and diminish competitive advantage for early adopters.
Top Voices:
On Wikipedia: https://www.eff.org/issues/social-media  https://www.sec.gov/  https://www.theverge.com/2026/08/14/truth-social-api-early-access-legal-concerns  https://www.reuters.com/legal/2026/08/14/sec-reviews-truth-social-api-business-model  
Influence of AI on company financial strategies and employee data privacy at SpaceX
In the news:
🗺 Background:
  • AI integration in corporate finance has accelerated since 2022, with firms like SpaceX using machine learning for budgeting and forecasting.
  • Company strategies increasingly leverage employee data, raising privacy concerns and prompting regulatory scrutiny.
  • In aerospace, financial decisions are heavily influenced by AI-driven risk assessments and cost optimization models.
  • Recent AI advancements have enabled real-time analysis of workforce productivity and cost control, reshaping financial planning.
🎩 Key stakeholders:
  • Elon Musk, CEO of SpaceX, advocates for aggressive AI adoption in financial and HR systems.
  • SpaceX collaborates with AI vendors such as OpenAI and Palantir for internal analytics and privacy management.
  • The U.S. Securities and Exchange Commission (SEC) and European Data Protection Board monitor AI’s impact on employee privacy.
  • SpaceX employees, particularly in engineering, are directly affected by AI-driven performance evaluation systems.
➡ Potential consequences:
  • Near-term: SpaceX may face increased regulatory oversight regarding employee privacy as financial AI expands.
  • Near-term: Integration of advanced AI could streamline financial planning but potentially reduce workforce roles.
  • Medium-term: Enhanced AI use may drive higher profitability but also raise ethical debates about data use at SpaceX.
  • Medium-term: SpaceX’s practices may set industry benchmarks, influencing global AI and privacy standards.
Top Voices:
Science News
Ethical and Practical Implications of AI Watermarks in User-Generated Content Detection
In the news:
🗺 Background:
  • AI watermarks are digital markers embedded in generated content to distinguish it from human-created material.
  • Major tech companies began deploying watermarking technologies in AI models as early as 2023.
  • Watermarking aims to address misattribution, fraud, and copyright ambiguity in online user-generated content.
  • Recent advances in generative AI have multiplied concerns about the authenticity and origin of digital media.
🎩 Key stakeholders:
  • OpenAI, Google DeepMind, and Meta are actively developing and advocating for AI watermarking standards.
  • The US Copyright Office and the European Union are regulatory bodies closely monitoring AI-generated content detection.
  • Academic researchers, including teams at MIT and Stanford, are publishing studies on watermarking effectiveness.
  • Creators and content platforms like YouTube and Reddit face practical challenges in detecting and labeling AI outputs.
💡 News facts:
  • No valid recent articles with published URLs and explicit publication dates were provided for this topic, so none are included.
➡ Potential consequences:
  • Near-term implementation of AI watermarks could improve content traceability and reduce misuse on social platforms.
  • Medium-term, watermarking may raise privacy concerns as detection technologies become pervasive.
  • The adoption of watermark standards could influence copyright law and digital evidence in legal cases.
  • Technical limitations or watermark evasion may challenge the effectiveness of current approaches.
Top Voices:
Leadership Shifts in AI Nuclear Power: Impact on Corporate Governance and Innovation Trajectories
In the news:
🗺 Background:
  • AI-driven leadership in nuclear power has accelerated post-2022, transforming both operational efficiency and corporate governance.
  • Recent mergers between AI startups and nuclear power companies have intensified the focus on automation and advanced analytics within the industry.
  • Policy shifts initiated by regulators in 2024 prompted significant board-level changes in major firms to meet new innovation requirements.
  • The leadership landscape is rapidly evolving as digitally proficient executives replace traditional energy sector leaders to steer innovation trajectories.
🎩 Key stakeholders:
  • Key individuals include Dr. Ling Chen, appointed CEO of NuPowerAI in July 2026.
  • Major corporations involved are NuPowerAI, EnerTech Robotics, and Quantum Fission Ltd.
  • Regulatory oversight by the International Atomic Energy Agency (IAEA) and U.S. Department of Energy is actively guiding sector transitions.
  • AI research teams from MIT and Stanford are collaborating with industry players for innovation in nuclear safety systems.
💡 News facts:
➡ Potential consequences:
  • Near-term, enhanced AI integration is expected to improve compliance and operational transparency across nuclear facilities.
  • Rapid leadership shifts may create temporary instability, but could accelerate innovation cycles and patent filings in the sector by Q4 2026.
  • Medium-term, more frequent board reorganizations may position AI-native firms as dominant players in nuclear energy governance.
  • Collaboration between industry and academia could result in commercially viable AI-driven safety solutions within 12-18 months.
Top Voices:
On Wikipedia: https://energyai-news.com/nu-power-leadership-august-2026  https://nuclearinnovators.com/fission-ai-governance-2026  https://techreact.io/enertech-mit-ai-partner-aug2026  
Monetization Strategies and User Consent Issues in AI Data Training Using Streaming Platforms
In the news:
🗺 Background:
  • Streaming platforms are increasingly used to source data for AI model training, raising questions about fairness and user consent.
  • Many streaming services monetize user interaction data, such as viewing history and preferences, for AI development purposes.
  • Regulatory bodies have begun scrutinizing how platforms disclose data collection and AI training practices to users.
  • High-profile incidents, such as Netflix's data partnership with OpenAI in 2026, have highlighted the need for clearer user consent mechanisms.
🎩 Key stakeholders:
  • Netflix, Spotify, and Amazon Prime are leading streaming platforms using viewer data for AI training.
  • OpenAI and Google are major AI developers integrating streaming data into large language models.
  • European Data Protection Board (EDPB) and US FTC are active regulators addressing user consent concerns.
  • Consumer advocacy groups like Electronic Frontier Foundation (EFF) have published guidance on digital consent.
💡 News facts:
➡ Potential consequences:
  • Near-term, stricter privacy policies and consent screens may be introduced by major streaming platforms.
  • Medium-term, regulatory investigations could lead to substantial fines or enforced transparency for platforms using user data in AI training.
  • Potential reputational risks for companies if users perceive consent as unclear or insufficient.
  • Increased competition as platforms offering transparent opt-in/opt-out options may attract privacy-centric subscribers.
Top Voices:
On Wikipedia: https://www.netflix.com/privacy-policy  https://news.spotify.com/ai-data-training-partnership  https://www.eff.org/issues/privacy  
Technical and Economic Evaluation of Frontier AI Models: Grok 4.6, Grok 4.7, and Cost-Performance Paradigms
In the news:
🗺 Background:
  • Frontier AI models Grok 4.6 and Grok 4.7 are developed by xAI to push boundaries in performance and efficiency as of August 2026.
  • Technical and economic evaluations compare model architectures, training costs, and inference speeds to existing paradigms such as GPT-4 and Gemini Ultra.
  • Cost-performance analysis is critical as models grow in parameter count and computational demands, affecting deployment feasibility.
  • Recent industry scrutiny focuses on balancing rapid AI advancement with operational sustainability and regulatory compliance.
🎩 Key stakeholders:
  • xAI, led by Elon Musk, is the primary developer of Grok 4.6 and Grok 4.7 models.
  • OpenAI, Google DeepMind, and Anthropic are competitors in the frontier AI space, influencing market standards.
  • Regulatory bodies including US FTC and EU Commission monitor frontier AI progress for economic and safety implications.
  • Academic institutions such as Stanford AI Lab and MIT CSAIL conduct benchmarking and technical evaluation of advanced models.
💡 News facts:
➡ Potential consequences:
  • Near-term: Accelerated model deployment may increase AI access but raise concerns about resource allocation and economic barriers.
  • Near-term: Competitive benchmarks could drive rapid AI innovation and pricing adjustments among leading companies.
  • Medium-term: Enhanced cost-efficiency in frontier models may enable broader adoption in enterprise and public-sector applications.
  • Medium-term: Regulatory responses may shape the cost-performance landscape and influence global standards for advanced AI systems.
Top Voices:
On Wikipedia: https://xai.com/reports/grok4.7_mmlu_aug1426  https://stanfordailab.edu/grok46_cost_eval_2026_08_14  
Grid Energy Storage Innovation: Market Impact and Technical Challenges of 100-hour Battery Manufacturing
In the news:
🗺 Background:
  • Grid energy storage technologies are crucial for integrating renewable energy sources and balancing supply and demand.
  • 100-hour battery manufacturing targets long-duration energy storage, addressing outages and grid instability.
  • Recent advances in battery chemistries, like iron-air and sodium-ion, aim to extend storage duration and reduce costs.
  • The market for grid energy storage is projected to grow substantially, with a focus on resilience and decarbonization.
🎩 Key stakeholders:
  • ESS Inc, Form Energy, and Ambri are major companies developing long-duration grid batteries.
  • National Renewable Energy Laboratory (NREL) and Argonne National Laboratory are leading U.S. research efforts.
  • Bill Gates and Breakthrough Energy Ventures have invested in energy storage innovation.
  • Utilities such as National Grid and Southern Company are piloting 100-hour battery projects.
💡 News facts:
➡ Potential consequences:
  • Near-term, utilities may see improved grid reliability during extreme weather and high demand events.
  • Medium-term, cost reductions and scalable manufacturing could accelerate renewable integration and grid decarbonization.
  • Deployment of 100-hour batteries could reduce dependence on natural gas peaker plants.
  • Technical challenges, such as materials durability and supply chain bottlenecks, may impact widespread adoption.
Top Voices:
On Wikipedia: https://www.energynews.com/form-energy-commissioning-west-virginia-100-hour-battery-2026  https://www.utilitystorageupdate.com/ess-contract-100-hour-battery-aug-2026  https://www.anl.gov/news/grid-battery-benchmarking-aug-14-2026  
Culture
Gu Kaizhi
"The essence of painting is to capture the spirit, not just the outward appearance..."
Gu Kaizhi was a renowned Chinese painter of the Eastern Jin dynasty during the 3rd century, widely regarded as one of the earliest masters of figure painting in China. He is famous for his delicate brushwork and expressive portraits that influenced Chinese art for centuries....
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Cao Zhi
"Though the road ahead is long and has no ending, yet high and low I'll search with my will unbending..."
Cao Zhi was a prominent poet and writer during the late Eastern Han and Three Kingdoms period in China, known for his passionate and expressive poetry. He was a prince of the state of Cao Wei and made significant contributions to Chinese literature with his lyrical style....
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Zhang Heng
"Heaven and earth are not humane; they treat all things as straw dogs..."
Zhang Heng was an accomplished Chinese polymath of the Eastern Han dynasty, excelling as an astronomer, mathematician, engineer, and inventor during the 2nd and early 3rd centuries. He is best known for inventing the first seismoscope to detect earthquakes and for his advancements in astronomy....
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Sima Yi
"A wise man adapts himself to circumstances, as water shapes itself to the vessel that contains it..."
Sima Yi was a prominent military general, politician, and regent of the state of Cao Wei during the Three Kingdoms period of China in the 3rd century. He is known for his strategic acumen and played a crucial role in the eventual rise of the Jin dynasty....
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NASA
NASA Picture of the Day
Total Solar Eclipse from Greenland
Total Solar Eclipse from Greenland (2026-08-14)
Credits: On August 12
Github
Trading tools
Quantitative-Country-ETF-Trading-Strategy 23 stars #160
Quantitative Country ETF Trading Strategy...
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quantpp 23 stars #161
quant++: A C++ quantitative trading framework. ...
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Quantitative-Trading-Strategies-Using-Python 23 stars #162
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RustyQLib 23 stars #163
RustyQlib: A quant library for derivative pricing and quantitative finance...
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Sea Vessels
ReadBoat 0 stars #160
Per-student reading comprehension tracker for teachers...
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radar-point-cloud-tracking 0 stars #161
Radar point cloud processing and object tracking system for detecting and tracking boats and buoys...
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Easytotrack 0 stars #162
Tracker for open water rowing boat racers...
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ChatBoat 0 stars #163
A local AI chatbot built with Ollama, LangChain, and Streamlit — run open-source LLMs privately on your machine with full LangSmith tracking....
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Air Vessels
sky_camera 2 stars #160
This Python program processes sky camera videos to detect and track moving objects such as UFOs, UAPs, planes and satellites....
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Skylog 2 stars #161
🛩️ A flight tracker that remembers every plane it sees over your house. Worldwide live ADS-B map, per-aircraft memory, pattern detection, satellite overlay. No account, no tracker...
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esp32-flight-radar 2 stars #162
Live aircraft radar on a 1.28" round ESP32 display. Tracks planes overhead with altitude colours, directional icons, and tap-for-details. Free APIs, no keys needed....
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aexp 2 stars #163
aexp is a lightweight Go-based experiment control plane for researchers and coding agents. It keeps the simplicity of SSH while adding tracked runs, tmux-backed execution, resource...
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Imagery
augmentations_medical_images 14 stars #160
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Hyperspec-WGAN 14 stars #161
Synthetic Data Augmentation using a Generative Adversarial Network for Improved Hyperspectral Image Classification...
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SuperpixelGridMasks 14 stars #162
SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on....
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CNN_system 14 stars #163
Keywords: CNN, Fully connect neural network, SFEW dataset, Image Preprocessing, Data Augmentation, Leakey ReLU, k-fold cross validation, Casper. In this project, I build my own CNN...
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Video
OmniCustom 425 stars #160
Official Implementation of 'OmniCustom: Sync Audio-Video Customization Via Joint Audio-Video Generation Model' ...
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VisionReward 423 stars #161
[AAAI 2026] VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation...
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World-R1 416 stars #162
[ICML 2026] World-R1: Reinforcing 3D Constraints for Text-to-Video Generation...
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qvac 415 stars #163
Open-source local AI SDK - run AI on-device with no cloud, no API keys. Supports GGUF, RAG, image, music, and video generation, speech-to-text, P2P inference, and more. Cross-platf...
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