Risenshine! Here is digest of signals harvested on 2026-08-27.
Markets
International - 08/27
Germany (EWG):
+0.5866%  +6.3454% MoM
France (EWQ):
-1.5368%  +0.9851% MoM
United Kingdom (EWU):
-0.4707%  +1.6939% MoM
Italy (EWI):
-1.2232%  +2.8278% MoM
Italy (EWI):
-1.2232%  +2.8278% MoM
Spain (EWP):
-0.7475%  +3.2082% MoM
Netherlands (EWN):
-0.1304%  +5.867% MoM
Chile (ECH):
+0.1211%  +5.8086% MoM
Belgium (EWK):
+0.009%  +3.1396% MoM
Germany (EWD):
-0.0927%  +4.9445% MoM
Australia (EWO):
-0.735%  +7.1946% MoM
China Large-Cap (FXI):
-0.872%  -1.1501% MoM
Japan (EWJ):
+0.4296%  +6.6904% MoM
India (INDA):
-0.4422%  +0.3038% MoM
Taiwan (EWT):
+2.1055%  +15.6253% MoM
Hong Kong (EWH):
+0.0872%  +0.0436% MoM
Singapore (EWS):
-0.556%  +5.8897% MoM
Indonesia (IDX):
+1.4886%  +8.4191% MoM
Malaysia (EWM):
-0.5862%  +2.9643% MoM
Saudi Arabia (KSA):
-0.4559%  +6.5041% MoM
Arab Emirates (UAE):
+0.1793%  +2.7048% MoM
Qatar (QAT):
+0.4628%  -1.196% MoM
Israel (EIS):
+1.1543%  +5.3722% MoM
Kuwait (KWT):
+0.1083%  +2.8414% MoM
Africa (AFK):
-0.5042%  +15.7027% MoM
Commodities - 08/27
gold (GLD):
+0.3038%  +14.411% MoM
silver (SLV):
+1.9159%  +21.412% MoM
US oil (USO):
+2.0887%  +7.9011% MoM
platinium (PPLT):
+0.9031%  +15.2682% MoM
agriculture (DBA):
+0.8045%  +3.5201% MoM
carbon (KRBN):
-0.2897%  +2.8076% MoM
copper (CPER):
-0.1997%  +4.3047% MoM
gaz (UNG):
+0.1921%  +6.4286% MoM
corn (CORN):
-1.1483%  +9.5133% MoM
weat (WEAT):
+0.8522%  +10.5605% MoM
uranium (URA):
+0.666%  +24.1849% MoM
lithium (LIT):
+1.5938%  +15.1882% MoM
Favorites - 08/27
Adobe (ADBE):
+5.7337%  +16.0406% MoM
AMD (AMD):
-0.8858%  +4.8502% MoM
Microsoft (MSFT):
+1.7507%  +28.3996% MoM
Nvidia (NVDA):
+8.738%  +15.72% MoM
Oracle (ORCL):
+2.0622%  +26.6589% MoM
Axon (AXON):
+0.6124%  +11.6041% MoM
Amazon (AMZN):
-1.5445%  +11.0023% MoM
Alibaba (BABA):
-2.9375%  +0.9723% MoM
JD (JD):
-0.9732%  -10.3806% MoM
ARM (ARM):
+1.653%  +4.278% MoM
Intel (INTC):
+4.3631%  +6.7092% MoM
Mu (MU):
-0.3208%  +13.9983% MoM
Qualcom (QCOM):
+0.6474%  +1.1665% MoM
Marvel (MRVL):
-1.4932%  +38.3906% MoM
Apple (AAPL):
+0.3605%  -7.4982% MoM
Lowe (LOW):
-1.7209%  -5.2694% MoM
Sectors - 08/27
SP500 (SPY):
+0.6553%  +4.0817% MoM
healthcare (XLV):
-1.1294%  +2.5828% MoM
finance (XLF):
-0.6522%  +0.4861% MoM
real-estate (XLRE):
-0.9536%  -2.9341% MoM
semi-conductors (SOXX):
+1.9461%  +6.9121% MoM
aerospace (ITA):
-0.8969%  -4.3759% MoM
reit (RWR):
-1.0295%  -4.4877% MoM
transportation (XTN):
-0.7605%  -5.3009% MoM
agriculture (MOO):
-0.9404%  +0.4649% MoM
clean energy (QCLN):
+1.3229%  +5.0499% MoM
Gainers
Losers
SMJ International Holdings Inc. -87.4%
SMJ International Holdings Inc specializes in the sale and distribution of a wide range of flooring products such as carpet tiles, polypropylene tiles, broadloom carpets, and vinyl...
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Guardforce AI Co., Limited Warrant -86.8%
Guardforce AI Co Ltd is an integrated solution provider, specializing in security solutions, and also focuses on implementing AI and robotics solutions to improve business operatio...
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Business
Impact of New US Tariffs on China and Canada: Trade Relationships, Consumer Prices, and Boycotts
In the news:
🗺 Background:
  • On August 26, 2026, the US implemented new tariffs on imports from China and Canada, targeting key product categories including electronics and steel.
  • Previous rounds of tariffs began in 2018-2019 under the Trump administration, affecting billions in bilateral trade with both countries.
  • China and Canada are among the US's largest trading partners, accounting for over 20% of total US trade volume in 2025.
🎩 Key stakeholders:
  • Janet Yellen, US Treasury Secretary, is overseeing tariff policy and trade negotiations.
  • Apple Inc., General Motors, and Walmart are affected by supply chain disruptions from new US tariffs.
  • Chinese Ministry of Commerce and Canada’s Department of Finance responded to US tariffs with official statements and the threat of reciprocal action.
💡 News facts:
➡ Potential consequences:
  • Near-term, retail prices for electronics and household goods are expected to rise by 5-10% in the US due to increased tariffs.
  • Medium-term, prolonged tariffs may lead to supply chain reorientation, with US companies seeking alternative sourcing in Southeast Asia.
  • Consumer boycotts of affected brands and products have emerged, particularly against Chinese electronics and Canadian steel.
  • Trade tensions could escalate, resulting in China and Canada imposing retaliatory tariffs on US goods.
Top Voices:
On Wikipedia: https://www.reuters.com/world/us/us-tariffs-china-canada-impact-2026-08-27/  https://www.bloomberg.com/news/articles/2026-08-27/us-canada-tariff-trade-impact  https://www.wsj.com/articles/walmart-us-china-tariffs-consumer-prices-2026-08-27  
Technological Innovation in Defense: Analysis of Long-Range Missiles and Urban Warfare Training
In the news:
🗺 Background:
  • Long-range missile systems such as the HIMARS and Tomahawk have become pivotal in modern defense strategies since the 2010s.
  • Urban warfare training programs have increasingly utilized VR and AI simulation platforms, notably adopted in NATO exercises after 2018.
  • The US Department of Defense allocated over $7 billion in FY2025 for research and development of advanced missile technologies.
  • Recent conflicts, including Ukraine (2022–2024), have accelerated investment in precision-guided and urban warfare-supporting systems.
🎩 Key stakeholders:
  • Lockheed Martin, Raytheon Technologies, and Israel Aerospace Industries are leading missile manufacturers.
  • NATO and the US Department of Defense oversee urban warfare training and long-range missile deployment.
  • Key individuals include Lloyd Austin (US Secretary of Defense), Jens Stoltenberg (NATO Secretary General), and Rafael Grossi (IAEA Director General).
  • Collaboration includes DARPA and multiple European defense ministries for joint R&D initiatives.
➡ Potential consequences:
  • Near-term: Increased missile accuracy and enhanced urban warfare capabilities may shift military tactics and reduce collateral damage.
  • Near-term: Faster adoption of AI-powered training could improve soldier preparedness for complex urban environments.
  • Medium-term: Further integration of missile and urban warfare technologies may prompt new international arms control negotiations.
  • Medium-term: Expanded exports of advanced systems could impact regional military balances and provoke new security alliances.
Top Voices:
The Influence of Financial Leverage and Bond Buybacks on US Economic Stability
In the news:
🗺 Background:
  • Financial leverage refers to the use of borrowed funds to amplify returns, which can increase both gains and losses for companies and the broader economy.
  • Bond buybacks occur when issuers repurchase their own debt, often to manage interest expenses or restructure capital; this impacts liquidity and investor confidence.
  • In recent years, US companies have used high leverage and large-scale bond buybacks to navigate rising interest rates and macroeconomic instability.
  • Changes in leverage and buyback behavior are closely watched by the Federal Reserve and other financial regulators as potential indicators of systemic risk.
🎩 Key stakeholders:
  • Key stakeholders include large US corporations such as Apple Inc., JPMorgan Chase, and ExxonMobil, which actively engage in debt issuance and buyback strategies.
  • US government institutions like the Federal Reserve and Treasury Department monitor corporate debt levels and bond buybacks for signs of market stress.
  • Major investment banks including Goldman Sachs and Morgan Stanley advise companies on leverage and buyback tactics, impacting market dynamics.
  • Credit rating agencies like Moody’s and S&P Global assess the risks associated with corporate leverage and bond repurchase activities.
💡 News facts:
➡ Potential consequences:
  • In the near-term, aggressive bond buybacks may boost stock prices and shareholder value but reduce corporate liquidity and financial flexibility.
  • Medium-term risks include elevated debt burdens making companies more vulnerable to interest rate hikes or economic downturns.
  • High leverage combined with large buybacks may force rating agencies to downgrade issuers, leading to higher borrowing costs across markets.
  • If systemic leverage remains unchecked, the Federal Reserve may implement new regulations or stress tests to mitigate broader economic risks.
Top Voices:
On Wikipedia: https://www.reuters.com/business/finance/jpmorgan-announces-5-billion-bond-buyback-2026-08-27  https://www.wsj.com/articles/federal-reserve-statement-financial-leverage-instability-2026-08-27  https://www.spglobal.com/exxonmobil-credit-downgrade-leverage-2026-08-27  
Climate Change Risk Assessment: The Reality of Extreme Weather Events
In the news:
🗺 Background:
  • Climate change is increasing the frequency and severity of extreme weather events globally, with scientific consensus led by organizations like the IPCC.
  • The economic damages from extreme weather events are projected to exceed $100 billion annually, as observed in recent hurricane and wildfire seasons.
  • Major cities including New York, Mumbai, and Sydney have implemented risk assessments to address vulnerabilities to floods, heatwaves, and cyclones.
  • Since 2015, international agreements such as the Paris Climate Accord have led to heightened focus on climate risk management strategies.
🎩 Key stakeholders:
  • The Intergovernmental Panel on Climate Change (IPCC) and World Meteorological Organization (WMO) are primary institutions monitoring extreme weather risk.
  • Major insurance companies like Munich Re and Swiss Re are developing new climate risk models to respond to growing claims.
  • National governments, including the US, China, and EU, are implementing adaptation and mitigation policies influenced by scientific findings.
  • Academic experts, including Michael E. Mann and Katharine Hayhoe, regularly advise policymakers on interpreting climate risk assessments.
💡 News facts:
➡ Potential consequences:
  • Near-term: Public health systems in heatwave-prone regions may face severe strain from increased hospitalizations and mortality rates.
  • Medium-term: Insurance premiums for climate-exposed homes and businesses will rise, potentially affecting economic stability in vulnerable areas.
  • Near-term: Crop yields in Southeast Asia could decline by up to 20% due to recurrent extreme weather, impacting food security.
  • Medium-term: Displacement of populations from flood-affected urban areas may spur rapid changes in infrastructure planning and urban policy.
Top Voices:
On Wikipedia: https://public.wmo.int/en/news/heatwave-risk-report-2026  https://www.munichre.com/en/newsroom/europe-flood-losses-2026.html  https://www.ipcc.ch/news/climate-risk-hotspots-se-asia-update  
The Role of AI and Robotics in Meeting Labor Shortages in the US Energy Sector
In the news:
🗺 Background:
  • US energy sector faces critical labor shortages, especially in skilled roles, with nearly 1 million job openings projected by 2030.
  • Growth in renewable energy and infrastructure upgrades has intensified demand for automation and advanced robotics.
  • AI and robotics are increasingly deployed to maintain and expand energy operations amid workforce gaps.
  • Recent government incentives encourage digital innovation to sustain US energy independence.
🎩 Key stakeholders:
  • Key stakeholders include energy firms like ExxonMobil, Chevron, and NextEra Energy.
  • Technology giants such as Siemens, ABB, and GE Digital actively develop AI and robotics solutions for energy.
  • Federal agencies like the US Department of Energy and National Renewable Energy Laboratory guide sectoral automation efforts.
  • Industry workforce unions and training institutes monitor robot and AI impact on job displacement and retraining.
💡 News facts:
➡ Potential consequences:
  • In the near term, automation may accelerate operational efficiency and reduce workplace injuries.
  • Medium-term consequences include possible job displacement, necessitating rapid retraining programs and adaptive workforce policies.
  • Greater reliance on AI could heighten cybersecurity risks and require robust regulatory frameworks.
  • Increased automation may stimulate further investment in STEM education and robotics R&D.
Top Voices:
On Wikipedia: https://energyindustrytoday.com/chevron-ai-maintenance-2026-update  https://energynewsdaily.com/siemens-robotics-solar-plant-launch-2026  https://usenergyupdates.org/doe-ai-guidelines-release-2026  
Science News
Technical Analysis of the IVO Quantum Drive's Orbital Test Results and Implications for Quantised Inertia Theory
In the news:
🗺 Background:
  • The IVO Quantum Drive is an experimental propulsion system based on Quantised Inertia theory, first introduced by Dr. Mike McCulloch in 2007.
  • Quantised Inertia theory proposes an alternative explanation for inertia and may enable propellantless propulsion for spacecraft.
  • IVO Ltd. launched its Quantum Drive for orbital testing on June 23, 2026, aboard a CubeSat mission.
  • The main goal was to evaluate thrust performance and determine compatibility with existing satellite hardware.
🎩 Key stakeholders:
  • IVO Ltd., founded by Richard Mansell, was responsible for developing and launching the Quantum Drive.
  • Dr. Mike McCulloch, the originator of Quantised Inertia theory, serves as the lead scientific advisor for the project.
  • The orbital tests were conducted in partnership with the European Space Agency (ESA) and several private space technology firms.
  • Engineers at the University of Plymouth are collaborating on data analysis for the Quantum Drive's performance metrics.
💡 News facts:
➡ Potential consequences:
  • Near-term, successful orbit tests may attract new funding for propellantless propulsion research and satellite integration projects.
  • Medium-term, validated Quantum Drive technology could disrupt traditional propulsion markets and lower satellite launch costs.
  • Further positive results could accelerate adoption of Quantised Inertia-based systems for deep space exploration within the next five years.
  • Full-scale spacecraft demonstrations are likely if additional test phases confirm sustained thrust and reliable performance.
Top Voices:
On Wikipedia: https://ivo.space/quantum-drive-test-results  https://esa.int/news/quantum-drive-orbital-test  https://plymouth.ac.uk/news/quantised-inertia-interview-mcculloch  
Anthropic's Internal Model Strategy: Why Are Top AI Models like Mythos 2 Not Publicly Released?
In the news:
🗺 Background:
  • Anthropic disclosed the existence of an internal AI model named Model 2 (also referenced as Mythos 2) in its August 2026 Risk Report.
  • Model 2 outperforms the company's flagship public model, Mythos 5, scoring 62.8% on Anthropic's CoBench, compared to Mythos 5's 50.3%.
  • The model is not being publicly released due to incomplete safety and predeployment evaluations as cited explicitly by Anthropic.
  • Previous launches such as Claude Opus 4.6 and Mythos Preview involved external evaluations and public disclosures, unlike the current Model 2.
🎩 Key stakeholders:
  • Anthropic, the primary developer, is led by its executive and technical teams responsible for model development, risk management, and deployment strategy.
  • Key competitors include OpenAI, which is mentioned as withholding release of its own Astra model for similar risk reasons.
  • Institutions like UK AISI and vetted critical infrastructure operators participate in testing and evaluations of advanced AI models prior to public launch.
  • Relevant stakeholders further include industry partners, internal engineering teams, and regulatory bodies concerned with AI safety.
💡 News facts:
➡ Potential consequences:
  • Near-term, Anthropic's retention of Model 2 will maintain a technological edge for internal tasks such as coding, data generation, and agentic engineering.
  • Other labs and partners may increase demand for stricter safety and risk assessment frameworks as the industry observes Anthropic's cautious model release approach.
  • Medium-term, delayed public deployment could slow broad access to enhanced AI capabilities, while raising industry standards for responsible scaling and ethical AI release.
  • Potential exists for regulatory escalation if withheld models become a norm amid rising concerns over AI misalignment and cybersecurity.
Top Voices:
On Wikipedia: https://www.explainx.ai/blog/anthropic-model-2-unreleased-risk-report-august-2026  https://www.geeky-gadgets.com/anthropic-model-2-details/  https://www.axios.com/2026/08/14/anthropic-model-2-ai-risk  https://www.nextbigfuture.com/2026/08/unreleased-anthropic-mythos-2-and-mythos-3-and-openai-astra.html  https://atoms.dev/blog/anthropic-model-2-mythos-2-unreleased-recursive-self-improvement  
Regulatory Risks and SEC Oversight in AI-Powered Hedge Funds: The Case of Situational Awareness
In the news:
🗺 Background:
  • AI-powered hedge funds use machine learning algorithms to analyze financial markets and execute trades autonomously.
  • The SEC, as the primary regulator, oversees hedge fund activities and enforces compliance with U.S. securities laws.
  • Situational awareness in the context of hedge funds refers to real-time risk assessment and decision-making enabled by AI.
🎩 Key stakeholders:
  • The Securities and Exchange Commission (SEC) is responsible for regulating U.S. hedge funds including those using AI.
  • Prominent AI hedge funds include Bridgewater Associates and Renaissance Technologies.
  • Key individuals include SEC Chair Gary Gensler, known for his focus on AI and emerging technology risks.
  • Technology vendors such as Palantir and Bloomberg offer situational awareness platforms to financial institutions.
💡 News facts:
➡ Potential consequences:
  • Near-term consequence may include increased reporting requirements for hedge funds leveraging AI situational awareness technologies.
  • Medium-term effects could be stricter oversight and potential sanctions for funds failing to provide transparency into AI decision-making.
  • Heightened SEC activity may lead to adoption of third-party audit tools to validate compliance and reduce regulatory risk.
  • Increased regulatory intervention may discourage smaller funds from innovating with advanced AI systems due to compliance costs.
Top Voices:
On Wikipedia: https://financeindustrynews.com/sec-risk-alert-ai-hedge-funds-2026-08-27  https://hedgefundnews.com/bridgewater-sec-algo-oversight-2026-08-27  
Energy Economics: How AI Data Centers Can Subsidize Local Electricity Rates and Impact Host Cities
In the news:
🗺 Background:
  • AI data centers are increasingly being built in urban areas to support machine learning workloads and large-scale cloud computing.
  • These facilities require significant electricity—often hundreds of megawatts per site—making them major local power consumers.
  • Energy economics considers how such demand can affect local utility strategies and regional electricity pricing.
  • Cities hosting AI data centers may negotiate rate structures, subsidies, or infrastructure investment as part of hosting agreements.
🎩 Key stakeholders:
  • Major AI infrastructure companies include Google, Microsoft, and Amazon Web Services.
  • Key municipal governments and public utility districts, such as the City of Quincy, Washington and New York Power Authority, often participate.
  • Regulatory bodies like the U.S. Federal Energy Regulatory Commission and regional ISOs oversee market impacts.
  • Local citizens and advocacy groups influence policy and track community impacts from large data center builds.
💡 News facts:
➡ Potential consequences:
  • Near-term: Residents in host cities like Quincy may see tangible reductions in electricity bills within 12 months.
  • Near-term: Local power grids will benefit from infrastructure upgrades backed by AI firms' investments.
  • Medium-term: Increased AI data center activity may drive new regional electricity markets and innovative rate frameworks.
  • Medium-term: Municipal partnerships with tech companies may set precedents for utility negotiation nationwide.
Top Voices:
On Wikipedia: https://energytechnews.com/microsoft-quincy-ai-electricity-subsidy-2026  https://nybusinessdaily.com/aws-ny-datacenter-power-grid-investment  https://localadvocate.org/quincy-energy-bill-savings-2026  
Space-Based AI Compute Expansion: Cost, Design, and Scale of the Vera Rubin NVL72 Project by SpaceX and Nvidia
In the news:
🗺 Background:
  • The Vera Rubin NVL72 Project involves deploying Nvidia NVL72 AI supercomputing modules in SpaceX operated orbital platforms.
  • The initiative aims to harness space-based compute for large-scale scientific data processing, including astronomical survey data.
  • NVL72 is Nvidia's latest cluster design with up to 72 GPUs interconnected for high-throughput AI workloads, launched in 2024.
  • SpaceX brings launch and satellite capabilities to enable compute clusters in orbit, targeting resilient, low-latency AI services.
🎩 Key stakeholders:
  • Key stakeholders include SpaceX, led by CEO Elon Musk, and Nvidia, with CEO Jensen Huang overseeing the NVL72 hardware project.
  • Collaborations involve the Vera Rubin Observatory, which supplies scientific and astronomical data sets for processing.
  • Additional institutional stakeholders are NASA and the US National Science Foundation, supporting space infrastructure and research.
  • Technical teams from Nvidia and SpaceX are directly responsible for module integration and deployment.
💡 News facts:
➡ Potential consequences:
  • Near-term, scientific compute in space will enable real-time analysis of transient astronomical events, accelerating discoveries.
  • Medium-term, cost savings and scalability from orbital deployment may disrupt terrestrial AI cloud providers' business models.
  • The project could attract new research funding from agencies impressed by rapid compute and autonomous AI capabilities.
  • Space-based AI modules may set standards for future edge computing networks with global coverage.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/08/27/spacex-nvidia-nvl72-vera-rubin-ai-orbit/  https://spectrum.ieee.org/spacex-nvidia-vera-rubin-ai  https://en.wikipedia.org/wiki/Vera_Rubin_Observatory  https://en.wikipedia.org/wiki/Nvidia  https://en.wikipedia.org/wiki/SpaceX  
Culture
Yan Liben
"Art is the reflection of the soul's journey through time and space..."
Yan Liben was a Chinese painter and architect during the Sui and Tang dynasties, credited with significant contributions to early Chinese figure painting. Although his most famous works date slightly after the 1st century, his artistic lineage and style were rooted in early Chinese traditions from t...
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Ban Zhao
"A woman who is truly learned is both gentle and strong; her wisdom guides the household and enlightens the world..."
Ban Zhao was a Chinese historian and scholar who lived during the Eastern Han dynasty, notable for completing the historical text 'Hanshu' (Book of Han) after her brother's death. She was one of the earliest known female historians and significantly influenced Chinese historiography....
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Zhang Heng
"Heaven and earth move; the mind must also move in harmony with them..."
Zhang Heng was a Chinese polymath of the Eastern Han dynasty, renowned for his inventions, including the seismoscope, and contributions to astronomy and mathematics. His work laid foundational principles for later developments in Chinese science and technology....
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Emperor Guangwu of Han
"To govern is to rectify; if you lead the people with correctness, who will dare not to be correct?..."
Emperor Guangwu, also known as Liu Xiu, was the founder of the Eastern Han dynasty, restoring the Han rule after the collapse of the Xin dynasty. His reign marked a period of consolidation and revival for China in the 1st century....
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NASA
NASA Picture of the Day
Colorful Aurora over Icelandic Waterfall
Colorful Aurora over Icelandic Waterfall (2026-08-27)
Credits: Victor Lima Text: Cecilia Chirenti (NASA GSFC, UMCP, CRESST II)
Github
Trading tools
moxt-cpp 9 stars #290
moxt-cpp is a core part of the moxt quantitative trading library, serving as its foundational C++ implementation for the Mojo-based trading system....
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greenrock 9 stars #291
AI-powered quantitative trading platform in Rust + Python: real-time strategies, risk, and research with Binance, Polars, PostgreSQL, and LLM workflows....
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toraniko-rs 9 stars #292
A Rust Port of the Toraniko Equity Risk Model for Quantitative Trading....
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Quant-Strategy-Tokenizer 9 stars #293
Agent-oriented modules for decomposing quantitative trading strategies into reusable strategy tokens....
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Sea Vessels
PID-Controller-PACT 0 stars #290
Two-dimensional proportional–integral–derivative controller for a boat, tracking both its angle and speed. Includes a GUI simulator. Part of the PACT Project in Télécom Paris....
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BENEATH-THE-RIPPLE 0 stars #291
An interactive light-sensitive experience built with p5.js. Guide your boat through the abyssal waters using real-world light tracking, while balancing between movement and stealth...
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running-at-sea 0 stars #292
Running on a Cruise has its problems. For example: Deriving the relative motion around a track, while the boat is moving....
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Rowy 0 stars #293
Rowy tracks rowing performances, and to allow the trainer to see live data from up to 7 boats at the time....
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Air Vessels
agent-observability-platform 1 stars #290
Agent Genome is an enterprise observability platform and control plane designed to monitor, manage, and secure fleets of autonomous AI agents. It provides real-time telemetry, cost...
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fluxion-core 1 stars #291
Keyboard-first, AI-native project tracker. A control plane that links products to code through issues built ▎ as explicit agent contracts — MCP tool surface for autonomous opera...
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open-governor 1 stars #292
The control plane for AI agents. Route all your LLM traffic through a single proxy that enforces policies, tracks costs, and audits every request -- so your agents can't overspend,...
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usageplane 1 stars #293
One control plane for all your AI usage — local-first tracker for AI coding usage, subscription limits, and relay account assets | 跨设备 AI 用量与多中转站资产控制台...
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Imagery
Data-Augmentation-in-RSICC 6 stars #290
Implementation of "Data Augmentation in Remote Sensing Image Change Captioning" paper...
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nsvision 6 stars #291
nsvision is the image data pre and post processing and data augmentation library. It provides utilities for working with image data....
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albu-mcp 6 stars #292
MCP server for AlbumentationsX image augmentation workflows...
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AISynthDataAug 6 stars #293
AI-Driven Image Synthesis for Data Augmentation...
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Video
doubao2api 185 stars #290
Reverse-engineered Doubao (豆包) API → OpenAI-compatible REST service. Free multimodal chat, image/video/music generation, and file hosting for AI agents....
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Awesome-Video-Generation-Post-Training 184 stars #291
[TMLR] Video Generation Models: A Survey of Post-Training and Alignment | 🔥 A continuously updated collection of papers, datasets, and benchmarks on post-training and alignment fo...
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360DVD 184 stars #292
[CVPR2024] 360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model...
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SCoPE 184 stars #293
SCoPE: Sightline-Coordinate Positional Encoding for 3D-Aware Video Generation...
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