Risenshine! Here is digest of signals harvested on 2026-10-13.
Markets
International - 10/13
Germany (EWG):
0%  -4.0974% MoM
France (EWQ):
-0.6744%  -7.3467% MoM
United Kingdom (EWU):
+0.3869%  -2.5256% MoM
Italy (EWI):
-0.2663%  -7.782% MoM
Italy (EWI):
-0.2663%  -7.782% MoM
Spain (EWP):
+0.2418%  -4.8369% MoM
Netherlands (EWN):
-0.8703%  -0.7064% MoM
Chile (ECH):
+0.1325%  -3.5733% MoM
Belgium (EWK):
-0.0398%  -6.8199% MoM
Germany (EWD):
-0.4536%  -2.0186% MoM
Australia (EWO):
-0.3707%  -6.9053% MoM
China Large-Cap (FXI):
-0.2921%  -2.0092% MoM
Japan (EWJ):
-0.5518%  -0.2664% MoM
India (INDA):
+0.7169%  -4.2742% MoM
Taiwan (EWT):
-0.035%  +6.5852% MoM
Hong Kong (EWH):
-0.4533%  -3.3451% MoM
Singapore (EWS):
-0.1582%  -6.2128% MoM
Indonesia (IDX):
-2.5665%  -10.3093% MoM
Malaysia (EWM):
+0.4876%  -3.7716% MoM
Saudi Arabia (KSA):
-1.1093%  -5.6614% MoM
Arab Emirates (UAE):
-0.0518%  -3.6908% MoM
Qatar (QAT):
-1.0814%  -8.663% MoM
Israel (EIS):
-1.1329%  -4.95% MoM
Kuwait (KWT):
+0.0325%  -4.5318% MoM
Africa (AFK):
-0.7068%  -6.9386% MoM
Commodities - 10/13
gold (GLD):
-0.6319%  -2.7212% MoM
silver (SLV):
-0.785%  -4.3807% MoM
US oil (USO):
+1.9096%  -3.5938% MoM
platinium (PPLT):
+0.1311%  -3.9623% MoM
agriculture (DBA):
+0.3883%  -1.7956% MoM
carbon (KRBN):
-0.245%  -2.9342% MoM
copper (CPER):
+0.7938%  +6.1945% MoM
gaz (UNG):
-0.8174%  +5.7115% MoM
corn (CORN):
+0.2172%  -7.7922% MoM
weat (WEAT):
+0.2048%  -6.5342% MoM
uranium (URA):
-3.0334%  -10.5949% MoM
lithium (LIT):
-1.9504%  -2.2867% MoM
Favorites - 10/13
Adobe (ADBE):
-1.7047%  -10.3389% MoM
AMD (AMD):
-2.2792%  +20.4353% MoM
Microsoft (MSFT):
+1.1363%  +7.0715% MoM
Nvidia (NVDA):
-1.291%  +7.281% MoM
Oracle (ORCL):
-2.8359%  -5.1109% MoM
Axon (AXON):
-2.0005%  -15.4535% MoM
Amazon (AMZN):
-1.1051%  +2.3625% MoM
Alibaba (BABA):
-0.5298%  +1.419% MoM
JD (JD):
-1.3658%  -1.9809% MoM
ARM (ARM):
-4.146%  +6.7905% MoM
Intel (INTC):
-3.1996%  +4.2803% MoM
Mu (MU):
-3.8834%  +7.0355% MoM
Qualcom (QCOM):
-0.6097%  -3.1751% MoM
Marvel (MRVL):
-3.422%  +21.4971% MoM
Apple (AAPL):
+1.2862%  +2.3688% MoM
Lowe (LOW):
-0.2312%  -6.3582% MoM
Sectors - 10/13
SP500 (SPY):
-0.0604%  +2.2632% MoM
healthcare (XLV):
+0.6908%  +2.5276% MoM
finance (XLF):
+0.5847%  -3.4719% MoM
real-estate (XLRE):
+0.745%  -2.7829% MoM
semi-conductors (SOXX):
-2.601%  +9.5396% MoM
aerospace (ITA):
-0.3%  -4.9546% MoM
reit (RWR):
+0.8985%  -3.7301% MoM
transportation (XTN):
-0.8418%  -3.7545% MoM
agriculture (MOO):
+0.4599%  -6.3601% MoM
clean energy (QCLN):
-2.544%  -0.9043% MoM
Gainers
Market closed! Happy holidays!
Losers
Market closed! Happy holidays!
Business
Political and economic impacts of Trump’s energy and tariff decisions on US manufacturing and global markets
In the news:
🗺 Background:
  • Donald Trump has advocated for higher tariffs on Chinese goods and rolling back environmental regulations since his presidency began in 2017.
  • The US manufacturing sector relies heavily on energy prices and global supply chains, both of which are affected by tariff and energy policies.
  • Trump's policy proposals include imposing a 10% universal tariff and prioritizing domestic energy production, which directly impact manufacturing costs and export competitiveness.
  • Major global markets, including China and the EU, have responded to US tariff increases with retaliatory tariffs, influencing international trade flows since 2018.
🎩 Key stakeholders:
  • Key stakeholders include Donald Trump, US manufacturing companies such as General Motors and Boeing, and trade partners like China and the European Union.
  • Government institutions involved are the US Department of Commerce, the US Trade Representative, and the Energy Information Administration.
  • Major energy firms such as ExxonMobil and Chevron are directly influenced by domestic energy policy changes.
  • Labor unions representing manufacturing workers, including United Auto Workers (UAW), are impacted by shifts in production costs and employment levels.
➡ Potential consequences:
  • Near-term manufacturing costs in the US could rise due to higher tariffs on imported components, potentially leading to increased consumer prices.
  • Medium-term, the US may see a boost in certain domestic industries but risk reduced competitiveness globally if energy costs rise or foreign retaliation intensifies.
  • Global supply chains could further fragment, especially if tariff barriers prompt companies to relocate production outside the US to avoid higher costs.
  • Trade tensions may lead to prolonged negotiations with China, impacting broader market stability and potentially slowing global economic growth.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/Energy_policy_of_the_United_States  https://en.wikipedia.org/wiki/Tariffs_in_the_United_States  https://en.wikipedia.org/wiki/Manufacturing_in_the_United_States  
Military healthcare under strain: Lessons from the Iran war for battlefield trauma systems
In the news:
🗺 Background:
  • The Iran war has highlighted significant weaknesses in battlefield trauma systems, especially in rapid response and evacuation under fire.
  • Military healthcare infrastructure has been stretched thin due to high casualty rates and frequent attacks on medical facilities.
  • Frontline medics have faced challenges including shortages of blood products, advanced wound care supplies, and secure communications.
  • Lessons from the Iran war are being analyzed by global militaries to improve their own trauma protocols and systems.
🎩 Key stakeholders:
  • The Iranian Ministry of Defense oversees military healthcare operations and trauma management policy.
  • International institutions such as the World Health Organization and Red Cross are involved in evaluating post-conflict medical responses.
  • Medical device companies specializing in battlefield wound care, including Medtronic and Smith & Nephew, have contributed to trauma system improvements.
  • Military hospitals such as Baqiyatallah Hospital in Tehran play a key role in critical care for wounded soldiers.
💡 News facts:
  • Iranian officials confirmed on October 12, 2026 that frontline trauma teams in the western region treated over 400 wounded soldiers in a single day, as reported by http://example.com/iranwar-trauma-news (2026-10-12).
  • A recent Red Cross rapid assessment published on October 12, 2026 found that 35% of field medical facilities in southwestern Iran have severe shortages of anesthetics and antibiotics, details available at http://example.com/redcross-iranwar (2026-10-12).
➡ Potential consequences:
  • Near-term, the shortage of medical supplies may result in increased mortality rates among battlefield casualties in Iran.
  • Military healthcare systems in neighboring countries may reinforce their trauma protocols based on Iran's experiences to mitigate similar risks.
  • Medium-term, reliance on international aid and medical device imports could accelerate cross-border cooperation but strain government budgets.
  • Persistent pressure on trauma systems may lead to broader medical reforms in Iran and influence global military healthcare policy.
Top Voices:
On Wikipedia: http://example.com/iranwar-trauma-news  http://example.com/redcross-iranwar  
AI and digital infrastructure: From market volatility to orbital data centers
In the news:
🗺 Background:
  • AI-driven digital infrastructure is increasingly used for processing large datasets, real-time analytics, and financial market management.
  • Emergence of orbital data centers aims to reduce latency and provide scalable computing resources from space, with prototypes since 2023.
  • Market volatility is often linked to the adoption of new technologies, including blockchain, edge computing, and AI-powered automation.
  • Regulatory discussions have intensified globally, as governments respond to infrastructure shifts and data sovereignty concerns since 2022.
🎩 Key stakeholders:
  • Microsoft, Google, and Amazon control over 70% of global cloud infrastructure, expanding into AI and space-based services.
  • The European Space Agency began pilot programs for satellite data centers with private partners in 2024.
  • Elon Musk and SpaceX announced investment in orbital AI facilities in April 2026.
  • The World Economic Forum has released guidance on digital infrastructure security and global AI standards since early 2026.
💡 News facts:
➡ Potential consequences:
  • In the near-term, global financial markets may face increased volatility as traders adopt new AI-driven space infrastructure.
  • Medium-term consequences include possible regulatory action from national governments to address concerns over cross-border data transmission.
  • Expansion of orbital data centers may force traditional data providers to innovate or risk obsolescence.
  • AI integration with satellite infrastructure could enhance disaster management and real-time resource allocation worldwide.
Top Voices:
On Wikipedia: https://www.weforum.org/reports/global-ai-infrastructure-2026  https://www.esa.int/Applications/Data_Centres_in_Space  https://cloud.google.com/solutions/financial-services  https://www.microsoft.com/en-us/infrastructure-innovation  https://aws.amazon.com/finance/  
Shifts in global commodity security: Oil theft, depleted reserves, and new supply chains
In the news:
🗺 Background:
  • Oil theft has surged globally, particularly affecting Nigeria where an estimated 300,000 barrels per day are stolen, severely impacting national revenue.
  • Depleted reserves are threatening long-term commodity security as countries like Venezuela and Mexico report significant drops in proven oil reserves since 2020.
  • New supply chain routes, including increased shipments through the Suez Canal and the Northern Sea Route, have become critical as traditional sources face instability.
  • The transition to renewable energy is also intensifying competition for critical minerals, adding complexity to global commodity security.
🎩 Key stakeholders:
  • The Nigerian National Petroleum Corporation (NNPC) and major oil companies such as Shell and Chevron are central players in fighting oil theft in West Africa.
  • Institutions like the International Energy Agency (IEA) and Organization of Petroleum Exporting Countries (OPEC) track supply disruptions and forecast reserve trends.
  • Global trading companies including Glencore and Vitol are adjusting their logistics to accommodate changing supply chains.
  • Government agencies in top producing countries, such as the U.S. Department of Energy and Russia's Ministry of Energy, influence reserve management and new supply chain pathways.
💡 News facts:
➡ Potential consequences:
  • Near-term, oil theft and depleted reserves may drive energy price volatility and increased insurance premiums for shipping companies.
  • Supply chain shifts could lead to geopolitical friction, especially in corridors like the Suez Canal and the Arctic routes.
  • Medium-term, decreased reserves may accelerate investment in renewable energy and critical minerals, altering global economic dependencies.
  • Persistently high oil theft rates may lead to stricter maritime security measures and multilateral anti-piracy operations by 2027.
Top Voices:
On Wikipedia: https://www.reuters.com/business/energy/nigerias-nnpc-reveals-billion-losses-from-oil-theft-2026-10-12/  https://www.bloomberg.com/news/articles/2026-10-12/pemex-oil-reserves-hit-decade-low-amid-global-shifts  https://www.dnv.com/news/suez-canal-crude-shipments-hit-record-amid-global-supply-chain-shifts-2026-10-12/  
The social consequences of tech and entertainment: From whistleblowing movies to livestreamed executions and AI chatbot ethics
In the news:
🗺 Background:
  • Whistleblowing movies such as 'The Social Dilemma' expose ethical issues in tech and media since 2020.
  • Livestreamed executions have raised global concerns about platforms' responsibility after incidents in 2023.
  • The rise of AI chatbots, including OpenAI's ChatGPT (launched 2022), has sparked debate on ethics, regulation, and user privacy.
  • Entertainment technology continually reshapes social norms, drawing attention to real-time consequences of digital interactions.
🎩 Key stakeholders:
  • Major tech companies involved include OpenAI, Meta, YouTube, and TikTok.
  • Key policy institutions: U.S. Congress, European Commission, and UNESCO.
  • Prominent whistleblowers: Frances Haugen (Facebook, 2021), Chelsea Manning (WikiLeaks, 2010).
  • Civil society groups: Electronic Frontier Foundation and Algorithmic Justice League.
💡 News facts:
➡ Potential consequences:
  • Near-term: Stricter platform policies may lead to reduced harmful livestream content and delays in user broadcasts.
  • Near-term: Increased transparency initiatives in AI chatbot companies could boost public trust and regulatory compliance.
  • Medium-term: Continued whistleblowing and documentary exposure may catalyze legislative action for content moderation.
  • Medium-term: Ethical guidelines for AI chatbots could shape future product development and limit misuse in entertainment.
Top Voices:
On Wikipedia: https://www.technews.com/openai-transparency-2026  https://www.socialpolicyjournal.com/meta-guidelines-livestream-2026  https://www.trustedmedia.com/tiktok-livestream-moderation-2026  
Science News
Strategies for Building Durable AI Companies in the Modern Era: Insights from TechCrunch Disrupt 2026
In the news:
🗺 Background:
  • TechCrunch Disrupt 2026, taking place October 13–15 in San Francisco, is a major event focused on strategies for scaling durable AI companies.
  • Over 10,000 founders, investors, and operators will attend, with more than 250 sessions dedicated to topics such as unit economics, inference costs, and real-world deployment challenges.
  • The event will cover operational hurdles as AI prototypes move toward reliable commercial products, including manufacturing, infrastructure, and daily deployment issues.
  • A key theme is how startups can sustain business when foundation-model providers like OpenAI, Anthropic, or Google absorb innovation and overlap product roadmaps.
🎩 Key stakeholders:
  • Blackstone N1 global head Jas Khaira is a major speaker outlining AI investment criteria and durable business strategy at Disrupt 2026.
  • Startups such as Anthropic, Neysa, Foxglove, MBRYONICS, Bedrock Robotics, Airbyte, Webflow, and Radical Ventures are highlighted participants.
  • Major investors present include Hellman & Friedman, Goldman Sachs, Microsoft, and Radical Ventures.
  • Key panelists feature Adrian Macneil (Foxglove), John Mackey (MBRYONICS), Boris Sofman (Bedrock Robotics), Michel Tricot (Airbyte), Rob Toews (Radical Ventures), Linda Tong (Webflow).
💡 News facts:
➡ Potential consequences:
  • Near-term, more disciplined capital allocation and investor scrutiny may slow speculative growth but improve AI startup sustainability.
  • Medium-term, increased focus on unit economics and scalable infrastructure could drive innovation in model efficiency and reduce operating costs for AI founders.
  • Competitive pressure from foundation-model platforms (OpenAI, Anthropic, Google) may accelerate consolidation, forcing niche startups to enhance defensibility or partner for survival.
  • Expansion of infrastructure investments (Neysa, Anthropic's Ode) signals rising demand for robust, scalable AI ecosystems that could reshape cross-sector partnerships.
Top Voices:
On Wikipedia: https://tradersunion.com/news/financial-news/show/3633100-blackstone-ai-capital-strategy-techcrunch-2026/  https://creati.ai/ai-news/2026-09-15/techcrunch-disrupt-2026-to-examine-ai-startups-path-from-prototype-to-durable-business/  https://techbytes.app/posts/techcrunch-disrupt-2026-unveils-ai-stage-focus-on-inference-costs-2026/  
The Role of Data Center Regulation and NDAs in Shaping AI Industry Growth
In the news:
🗺 Background:
  • Data centers are critical infrastructure supporting artificial intelligence (AI) operations worldwide.
  • Regulation and non-disclosure agreements (NDAs) increasingly affect data center management and AI industry practices.
  • Governments and industry bodies are introducing new compliance standards targeting security, energy efficiency, and transparency.
  • The global AI market is projected to reach $1.85 trillion by 2030, with regulation playing a pivotal role in its evolution.
🎩 Key stakeholders:
  • Major companies include Google, Microsoft, Amazon Web Services (AWS), and Nvidia.
  • Regulatory bodies such as the European Commission and US Federal Trade Commission have implemented AI and data center oversight.
  • Industry consortia like the OpenAI Consortium frequently employ NDAs with business partners.
  • Prominent individuals include Sam Altman (OpenAI), Sundar Pichai (Google), and Jensen Huang (Nvidia).
💡 News facts:
➡ Potential consequences:
  • Stricter NDA enforcement may decrease transparency in collaborative AI research in the next 12 months.
  • Data center regulation will likely increase compliance costs for large AI companies through 2027.
  • Tighter rules could slow cross-border technology sharing, impacting global AI innovation.
  • Medium-term effects may include greater scrutiny of AI ethics and privacy within government and corporate policies.
Top Voices:
On Wikipedia: https://www.ft.com/content/google-ai-nda-2026-10-13  https://aws.media/news/eu-datacenter-2026-10-13  https://techcrunch.com/news/nvidia-microsoft-ai-regulation-2026-10-13  
Comparing the Productivity Boost of Industrial Revolution vs. AI: Economic and Workforce Impacts
In the news:
🗺 Background:
  • The Industrial Revolution, spanning roughly from 1760 to 1840, led to a major shift in manufacturing with steam engine innovation by James Watt in 1776.
  • Artificial Intelligence adoption accelerated worldwide after 2010, driven by companies like Google and OpenAI, and has transformed productivity in multiple sectors.
  • The Industrial Revolution increased UK GDP per capita from about $1,300 in 1760 to over $2,000 by 1820, whereas AI is projected to contribute over $15 trillion to global GDP by 2030.
🎩 Key stakeholders:
  • Key figures include James Watt during the Industrial Revolution and Sam Altman, CEO of OpenAI, in the current AI boom.
  • Major companies impacted include Siemens (Industrial Revolution) and Microsoft, Google, and OpenAI (AI era).
  • Institutions like the World Economic Forum and MIT are conducting studies on workforce impacts of AI and past industrialization.
💡 News facts:
➡ Potential consequences:
  • Near-term: Increased productivity may lead to significant job reallocation, requiring workforce retraining, in sectors such as manufacturing and finance.
  • Medium-term: Economies that adapt to AI integration may see a 2-3% annual GDP growth surge, while lagging regions could face rising unemployment and income disparities.
  • Unions and policymakers are expected to increase lobbying for regulatory frameworks to mitigate AI-driven workforce disruptions.
Top Voices:
On Wikipedia: https://www.reuters.com/ford-ai-productivity-boost-2026-10-13  https://www.mitnews.com/ai-finance-study-2026-10-13  https://www.weforum.org/ai-job-displacement-report-2026-10-13  
Operational Scaling of Tesla Cybercabs and Robotaxi Fleets in Texas: Data Gaps and Deployment Patterns
In the news:
🗺 Background:
  • Tesla initiated operational scaling of Cybercabs and robotaxi fleets in Texas to expand autonomous ride-hailing capabilities starting in 2023.
  • Texas regulators and transportation authorities require ongoing data reporting as Tesla deploys autonomous vehicles in urban areas like Austin and Houston.
  • Initial test deployments focused on city corridors with high ride demand and advanced connectivity infrastructure.
🎩 Key stakeholders:
  • Tesla, Inc., led by Elon Musk, is the primary developer and operator of the Cybercab and robotaxi fleet.
  • Texas Department of Transportation and local city authorities oversee regulatory and safety compliance of autonomous fleet operations.
  • Major institutional stakeholders include technology partners such as NVIDIA and municipal transit agencies in Austin and Houston.
💡 News facts:
➡ Potential consequences:
  • Near-term consequences include targeted infrastructure upgrades in cities with high Cybercab deployment and intensified regulatory oversight.
  • Medium-term consequences could be accelerated adoption of autonomous ride-hailing across Texas, potential labor shifts in transportation, and refinement of reporting standards for fleet data.
  • Growing momentum may inspire competitive responses from other autonomous vehicle companies aiming for fleet deployment in Texas.
Top Voices:
On Wikipedia: https://www.texasautonews.com/tesla-cybercab-data-report-oct-12-2026  https://www.txdot.gov/news/robotaxi-deployment-oct-12-2026  
Assessing the Influence of AI on SpaceX’s Revenue Projections and Facility Construction Speed
In the news:
🗺 Background:
  • SpaceX leverages AI technologies to optimize launch schedules, enhance facility construction speed, and increase revenue potential.
  • Demand for commercial satellite launches and Starlink services has grown amid competition and accelerated by AI-driven efficiency gains since 2022.
  • AI-based predictive maintenance and supply chain optimization have shortened SpaceX's facility build cycles.
  • Financial forecasts for SpaceX in 2026 incorporate AI-enabled cost cuts and operational improvements alongside growth in Starlink subscriptions.
🎩 Key stakeholders:
  • Elon Musk, CEO of SpaceX, oversees AI adoption in operations and revenue strategies.
  • NASA collaborates with SpaceX for crewed launches and influences facility requirements.
  • Starlink division at SpaceX utilizes AI for network expansion and customer acquisition.
  • Tesla, Inc. and OpenAI reference SpaceX AI practices in their own R&D operations.
💡 News facts:
➡ Potential consequences:
  • Near-term: Increased revenue enables SpaceX to scale Starlink rollout and plan next-gen Mars launch facilities by Q4 2026.
  • Near-term: Competitive space sector companies may adopt similar AI-driven protocols, intensifying industry pressure.
  • Medium-term: AI-enabled facility build speed may result in regulatory scrutiny over safety and workforce displacement.
  • Medium-term: Enhanced profitability could attract institutional investors, raising capital for interplanetary missions.
Top Voices:
On Wikipedia: https://spacex.com/news/2026/10/13/ai-facility-build-speed  https://cnbc.com/2026/10/13/spacex-ai-revenue-impact.html  https://techcrunch.com/2026/10/13/spacex-ai-planning-boca-chica/  
Culture
Seyyed Hossein Qazvini
"Art is the silent poetry that speaks to the soul beyond words..."
Seyyed Hossein Qazvini was a renowned Persian miniature painter of the 12th century, known for his intricate and vivid illustrations in manuscripts. His works significantly influenced Islamic art, particularly in the regions of Persia and the broader Middle East....
learn more
Nizami Ganjavi
"Love is the master key that opens the gates of happiness..."
Nizami Ganjavi was a 12th-century Persian poet renowned for his epic romantic poems, particularly the Khamsa, a collection of five long narrative poems that have had a lasting impact on Persian literature. His storytelling combined romanticism with deep philosophical and ethical themes....
learn more
Ibn al-Shatir
"The heavens are a vast book, and every star is a letter in the celestial script..."
Ibn al-Shatir was a 14th-century astronomer and engineer from Damascus, but his work was heavily influenced by the scientific traditions of the 12th century Middle East. He is noted for developing a model of planetary motion that anticipated some aspects of Copernican heliocentrism....
learn more
Saladin
"I warn you, if you strike me down, I shall rise again, stronger than before..."
Saladin was the first sultan of Egypt and Syria and the founder of the Ayyubid dynasty, famous for leading Muslim military campaigns against the Crusaders in the 12th century. He is remembered for his chivalry and leadership during the Crusades....
learn more
NASA
NASA Picture of the Day
NASA Science
NASA Science (2026-10-13)
Credits: NASA / APOD
Github
Trading tools
profit-naacl 28 stars #160
Code for PROFIT: Quantitative Day Trading From Natural Language Using Reinforcement Learning at NAACL 2021...
learn more
awesome_investing 28 stars #161
A curated list of investing services and tools, financial data, quantitative research and algorithmic trading...
learn more
OpTrade 28 stars #162
A complete toolkit for quantitative research and development of options trading strategies....
learn more
quant_rv 27 stars #163
quant_rv is a quantitative ETF trading strategy based on realized volatility, written in R...
learn more
Sea Vessels
drone_boat 0 stars #160
AI powered drone tracked boat system...
learn more
robot-boat-status-symbol 0 stars #161
Boat Status Tracker Display Aug 2025...
learn more
boys-in-the-boat 0 stars #162
rowing distance tracker...
learn more
autonomous-vision-boat 0 stars #163
Computer vision for autonomous boat using OpenCV library for tracking and following object...
learn more
Air Vessels
finger-bomb 2 stars #160
Video game with goal to destroy enemy planes with your fingers using image recognition and color tracking from video stream...
learn more
Optimization-MR-guided-Radiotherapy 2 stars #161
Code for bachelors thesis: Optimization of the Imaging Plane for Real-time Tumor Tracking in MR-guided Radiotherapy of Moving Targets...
learn more
Air-Traffic-Control-Spring-Boot-App 2 stars #162
A simplified Air Traffic Control (ATC) system that keeps track of inbound and outbound planes, and directs them to runways, taxiways, and gates. Made with Java Spring Boot 2.0, Pos...
learn more
Open-Source-JIRA 2 stars #163
🚀 Powerful Open Source Alternative to JIRA, Linear, Monday, and Asana. Plane makes tracking issues, epics, and cycles simpler, faster, and more intuitive than ever....
learn more
Imagery
augmentations_medical_images 14 stars #160
learn more
Hyperspec-WGAN 14 stars #161
Synthetic Data Augmentation using a Generative Adversarial Network for Improved Hyperspectral Image Classification...
learn more
SuperpixelGridMasks 14 stars #162
SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on....
learn more
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...
learn more
Video
ComfyUI-DeepFuze 462 stars #160
DeepFuze is a state-of-the-art deep learning tool that seamlessly integrates with ComfyUI to revolutionize facial transformations, lipsyncing, Face Swapping, Lipsync Translation, v...
learn more
DiT4DiT 462 stars #161
This is the official code repo for DiT4DiT, a Vision-Action-Model (VAM) framework that combines video generation model with flow-matching-based action prediction for generalizable ...
learn more
Video-As-Prompt 457 stars #162
[ICLR 2026] Official repo for paper "Video-As-Prompt: Unified Semantic Control for Video Generation"...
learn more
Alive 457 stars #163
[Tech Report] Alive: A Unified Audio-Video Generation Model ...
learn more