Risenshine! Here is digest of signals harvested on 2026-09-21.
Markets
International - 09/21
Germany (EWG):
-1.2649%  -4.4867% MoM
France (EWQ):
-1.5762%  -6.8811% MoM
United Kingdom (EWU):
-1.4181%  -3.7271% MoM
Italy (EWI):
-1.847%  -4.318% MoM
Italy (EWI):
-1.847%  -4.318% MoM
Spain (EWP):
-1.7197%  -4.191% MoM
Netherlands (EWN):
+0.4196%  -3.1927% MoM
Chile (ECH):
-0.3788%  -6.6714% MoM
Belgium (EWK):
-0.7029%  -2.7184% MoM
Germany (EWD):
-1.0663%  -4.7415% MoM
Australia (EWO):
-1.1714%  -1.442% MoM
China Large-Cap (FXI):
+0.3802%  -3.4599% MoM
Japan (EWJ):
-0.9294%  +2.2775% MoM
India (INDA):
+0.0208%  -2.695% MoM
Taiwan (EWT):
+0.9038%  +8.0422% MoM
Hong Kong (EWH):
-0.3108%  -3.3993% MoM
Singapore (EWS):
-0.7264%  -2.786% MoM
Indonesia (IDX):
-1.4808%  -2.3738% MoM
Malaysia (EWM):
-0.6912%  -4.5455% MoM
Saudi Arabia (KSA):
-0.0801%  -4.0994% MoM
Arab Emirates (UAE):
-1.3366%  +1.4766% MoM
Qatar (QAT):
-0.3446%  -1.1584% MoM
Israel (EIS):
-0.4945%  +2.7762% MoM
Kuwait (KWT):
+0.0264%  -0.0277% MoM
Africa (AFK):
-0.1034%  -1.8957% MoM
Commodities - 09/21
gold (GLD):
+0.7054%  -5.9809% MoM
silver (SLV):
+1.6279%  -3.6495% MoM
US oil (USO):
-0.9594%  +16.3452% MoM
platinium (PPLT):
+1.5567%  -4.0588% MoM
agriculture (DBA):
-0.95%  -0.53% MoM
carbon (KRBN):
+0.3044%  -0.6203% MoM
copper (CPER):
+1.4372%  +0.3993% MoM
gaz (UNG):
+0.7744%  +2.5616% MoM
corn (CORN):
-0.6556%  +2.4974% MoM
weat (WEAT):
-1.4482%  +1.4914% MoM
uranium (URA):
-2.4133%  -8.8422% MoM
lithium (LIT):
-0.5642%  -8.4772% MoM
Favorites - 09/21
Adobe (ADBE):
-1.4841%  -9.8997% MoM
AMD (AMD):
+2.7023%  +22.5673% MoM
Microsoft (MSFT):
-0.7976%  +1.3277% MoM
Nvidia (NVDA):
+1.3358%  +6.6145% MoM
Oracle (ORCL):
-1.9789%  +3.6223% MoM
Axon (AXON):
-1.2657%  -25.0724% MoM
Amazon (AMZN):
+1.0032%  -3.19% MoM
Alibaba (BABA):
+4.3302%  -4.4146% MoM
JD (JD):
+1.0511%  -7.8082% MoM
ARM (ARM):
+4.043%  +15.4242% MoM
Intel (INTC):
-0.1838%  +24.4556% MoM
Qualcom (QCOM):
-5.8238%  +12.105% MoM
Marvel (MRVL):
+1.4496%  +6.5245% MoM
Apple (AAPL):
-0.2582%  +8.3102% MoM
Lowe (LOW):
-0.8754%  -11.2868% MoM
Sectors - 09/21
SP500 (SPY):
-0.1193%  -0.2331% MoM
healthcare (XLV):
-0.2488%  -3.6119% MoM
finance (XLF):
-0.0358%  -4.0536% MoM
real-estate (XLRE):
-0.9548%  -6.1769% MoM
semi-conductors (SOXX):
+2.6912%  +5.3123% MoM
aerospace (ITA):
-0.0187%  -8.3805% MoM
reit (RWR):
-0.9273%  -6.3119% MoM
transportation (XTN):
-0.2203%  -6.0612% MoM
agriculture (MOO):
-1.8439%  -0.4118% MoM
clean energy (QCLN):
-0.5821%  -2.943% MoM
Gainers
Market closed! Happy holidays!
Losers
Market closed! Happy holidays!
Business
Investigate the implications of United Nations findings on US military actions in Iran and potential war crimes.
In the news:
🗺 Background:
  • The United Nations regularly assesses global conflicts for potential violations of international law and war crimes.
  • Recent investigations have focused on U.S. military operations in Iran, particularly incidents involving drone strikes and covert operations since 2021.
  • These findings aim to clarify the legal and humanitarian issues surrounding military actions in Iran.
🎩 Key stakeholders:
  • Key institutions include the United Nations Human Rights Council and the United States Department of Defense.
  • Prominent individuals include UN Special Rapporteur Agnes Callamard and U.S. Secretary of Defense Lloyd Austin.
  • Iranian government officials such as Foreign Minister Hossein Amir-Abdollahian are directly involved.
  • International legal bodies like the International Criminal Court monitor developments.
💡 News facts:
➡ Potential consequences:
  • Near-term, the U.S. may face increased scrutiny from international legal bodies and diplomatic tension with Iran.
  • Medium-term, the findings could prompt calls for sanctions, independent audits of U.S. military actions, or formal prosecutions.
  • UN recommendations may influence other countries to reassess alliances or military cooperation with the United States.
  • Public global opinion could become increasingly critical of U.S. foreign policy in the Middle East.
Top Voices:
On Wikipedia: https://news.example.com/un-report-us-warcrimes-sep2026  https://news.example.com/pentagon-response-sep2026  https://news.example.com/iran-demand-prosecution-sep2026  
Analyze the ongoing global debates around AI regulation and safety, focusing on the contrasting views of tech CEOs and government officials, including King Charles III’s warnings.
In the news:
🗺 Background:
  • Global debate on AI regulation intensified after major advancements in generative AI models since early 2023.
  • Governments are scrambling to address potential risks associated with uncontrolled AI development, including disinformation, privacy breaches, and economic disruptions.
  • Tech CEOs advocate for flexible frameworks, fearing overregulation may stifle innovation, while public officials emphasize the need for safety and accountability.
  • International bodies like the EU accelerated AI-related legislative efforts, culminating in the recent approval of the EU AI Act.
🎩 Key stakeholders:
  • Elon Musk, CEO of Tesla and xAI, and Sam Altman, CEO of OpenAI, have publicly campaigned for measured regulation.
  • King Charles III cautioned world leaders about "ethical risks" of unchecked AI at the World Governments Summit in February 2024.
  • European Commission President Ursula von der Leyen and U.S. Senate Majority Leader Chuck Schumer are leading legislative pushes.
  • Major institutions include OpenAI, Google DeepMind, European Parliament, and U.S. Congress.
💡 News facts:
➡ Potential consequences:
  • Near-term: Increased regulatory compliance costs for tech companies as new guidelines are enforced in the UK and EU.
  • Medium-term: Potential fragmentation in global AI standards could hinder cross-border cooperation and innovation.
  • Near-term: Heightened scrutiny of AI deployment may delay commercial launches and influence future funding decisions.
  • Medium-term: Legislative actions could reduce risks of unethical AI use but may spark lobbying and legal challenges from tech giants.
Top Voices:
On Wikipedia: https://www.bbc.com/news/technology-66883677  https://www.reuters.com/technology/openai-ceo-eu-ai-act-2026-09-20/  https://www.theguardian.com/technology/2026/sep/21/king-charles-ai-warning-digital-trust  
Assess the market and economic consequences of central bank rate hikes and election outcomes, with a focus on CFOs’ expectations and Wall Street’s midterm plans.
In the news:
🗺 Background:
  • Central banks including the US Federal Reserve and European Central Bank have initiated rate hikes in 2026 to combat persistent inflation.
  • Wall Street and CFOs monitor both economic policy moves and election outcomes to adjust financing strategies and capital allocation.
  • Midterm election results influence future fiscal and regulatory policy, with direct consequences for capital markets and business investment.
  • Rate hikes typically affect borrowing costs, currency valuation, and sector performance, intensifying focus from financial executives on projections.
🎩 Key stakeholders:
  • Jerome Powell, Chair of the US Federal Reserve, leads monetary policy shifts that affect global markets.
  • S&P 500-listed companies and their CFOs are major corporate stakeholders impacted by both rate hikes and election uncertainty.
  • Institutional investors, such as BlackRock and Vanguard, play a critical role in asset allocation in response to rate and political events.
  • Political leaders in Washington influence fiscal policy, which interacts with central bank actions and Wall Street strategies.
💡 News facts:
  • The Federal Reserve raised its benchmark interest rate by 0.25% on September 20, 2026, according to Bloomberg, Sep 20, 2026.
  • Wall Street banks including JPMorgan and Goldman Sachs announced changes to midterm investment strategies after the Federal Reserve's rate hike, reported by Reuters, Sep 20, 2026.
  • A Deloitte CFO survey released September 20, 2026 found 67% of finance chiefs foresee tighter credit conditions following both the Fed hike and midterm electoral outcomes, published by Deloitte Insights, Sep 20, 2026.
➡ Potential consequences:
  • Near-term consequence: US corporate borrowing costs are expected to increase, leading to reduced investment and hiring, particularly in interest-sensitive sectors.
  • Medium-term consequence: Persistent rate hikes alongside electoral uncertainty may amplify market volatility, impacting equity prices and financial liquidity.
  • Wall Street strategists anticipate realignment of portfolios toward defensive stocks and increased hedging risk in the face of political and central bank-driven uncertainty.
  • CFOs are likely to delay capital expenditure decisions and M&A activity until post-election clarity and stable monetary policy signals are received.
Top Voices:
On Wikipedia: https://www.bloomberg.com/news/articles/2026-09-20/fed-hikes-rates-amid-election-uncertainty  https://www.reuters.com/markets/fed-rate-hike-midterm-investment-strategies-2026-09-20/  https://www2.deloitte.com/us/en/insights/industry/financial-services/cfo-survey-fed-rate-hike-midterm-2026.html  
Examine the rise and strategies of China in AI and pharmaceuticals, including the AI price war and Insilico Medicine’s experiments.
In the news:
🗺 Background:
  • China has rapidly expanded its artificial intelligence (AI) and pharmaceutical sectors over the past decade with significant government investment.
  • The country launched major initiatives such as the 'Next Generation Artificial Intelligence Development Plan' in 2017, aiming to dominate the global AI market by 2030.
  • Pharmaceutical innovation in China is closely linked to AI advancements, with both fields supported by national policy and increasing venture capital funding.
  • AI-driven drug discovery has accelerated since the pandemic, leading to partnerships between Chinese firms and global entities.
🎩 Key stakeholders:
  • Insilico Medicine, a Hong Kong-based company led by CEO Alex Zhavoronkov, is at the center of AI-driven drug discovery in China.
  • ByteDance, Baidu, Alibaba, and Tencent (BAT) are major technology firms driving the AI price war in China.
  • The Chinese Academy of Sciences and China's National Healthcare Security Administration are influential institutions in both AI and pharmaceuticals.
  • China's Ministry of Science and Technology steers policy and provides funding for AI research and pharmaceutical innovation.
💡 News facts:
  • Insilico Medicine launched new experiments using generative AI to accelerate drug development, published September 20, 2026 on South China Morning Post .
  • ByteDance announced an aggressive reduction in AI product prices to compete with Baidu and Alibaba, reported September 20, 2026 by Caixin Global .
  • China's National Healthcare Security Administration updated reimbursement rules for AI-assisted drug discovery on September 20, 2026, covered by China Daily .
➡ Potential consequences:
  • Near-term, the AI price war may lead to rapid market consolidation and lower costs for AI tools in drug discovery.
  • Medium-term, aggressive AI adoption in pharmaceuticals could result in more efficient drug development pipelines and global competitiveness for Chinese firms.
  • Tighter regulation or government intervention may arise as AI expands its role in healthcare and pharmaceuticals.
  • International collaboration and technology transfer may intensify as Western and Chinese companies seek to leverage AI-driven innovation.
Top Voices:
On Wikipedia: https://www.scmp.com/tech/innovation/article/3219876/insilico-medicine-leverages-ai-pharmaceutical-innovation  https://www.caixinglobal.com/2026-09-20/big-tech-ai-price-war/  https://www.chinadaily.com.cn/business/2026-09-20/national-healthcare-ai-reimbursement.html  
Explore the recent developments and leadership changes in major global firms like Nike and the Taiwan Stock Exchange, and their impact on business strategy and growth.
In the news:
🗺 Background:
  • Global corporations like Nike and the Taiwan Stock Exchange play pivotal roles in international commerce and finance.
  • Leadership changes in such firms can significantly affect business strategy, market value, and growth prospects.
  • Recent appointments and transitions in executive positions have sparked renewed focus on corporate direction and stakeholder engagement.
  • Emerging markets and technology-driven shifts in operations are shaping the competitive landscape for major enterprises.
🎩 Key stakeholders:
  • Nike Inc., a global leader in athletic apparel and footwear, routinely impacts consumer trends and sports industry standards.
  • The Taiwan Stock Exchange (TWSE) oversees equity trading in one of Asia's most influential economies.
  • Key decision-makers include board members, CEOs, and institutional investors guiding strategic direction.
  • Regulatory bodies and government institutions also influence leadership appointments and governance in publicly traded firms.
💡 News facts:
➡ Potential consequences:
  • Near-term, these leadership changes may prompt rapid strategic reviews and operational adjustments, affecting quarterly earnings.
  • Medium-term, shifts in leadership could accelerate expansion into new markets or influence investment in technology and digital platforms.
  • Investor sentiment could be volatile, impacting stock prices and market capitalization for both Nike and TWSE.
  • These changes may inspire similar governance shifts in peer organizations, potentially reshaping regional and global industry trends.
Top Voices:
On Wikipedia: https://www.reuters.com/business/retail-consumer/nike-names-new-ceo-sept-20-2026  https://www.bloomberg.com/news/articles/2026-09-20/taiwan-stock-exchange-appoints-chairman-sept-20-2026  
Science News
Technological innovation in geothermal energy extraction and its impact on sustainable power generation economics
In the news:
🗺 Background:
  • Geothermal energy extraction uses heat from the Earth’s subsurface to generate power, with implementations dating back to Larderello, Italy in 1904.
  • Traditional geothermal plants rely on naturally occurring steam or hot water reservoirs, but innovations now include Enhanced Geothermal Systems (EGS) and closed-loop systems.
  • Geothermal power offers near-zero greenhouse gas emissions and baseload capability, supporting grid stability alongside intermittent renewables.
  • The U.S. Department of Energy has increased funding for geothermal research, aiming for 60 GW by 2050 as part of its clean energy transition.
🎩 Key stakeholders:
  • The U.S. Department of Energy’s Geothermal Technologies Office is a pivotal funder and driver of research and demonstration projects.
  • Companies such as Fervo Energy and Ormat Technologies are leading technological innovation and commercial deployment of advanced geothermal systems.
  • Stanford University and the National Renewable Energy Laboratory (NREL) conduct critical geothermal research and modeling.
  • Major financial institutions like Breakthrough Energy Ventures have begun investing large amounts in geothermal startups.
💡 News facts:
➡ Potential consequences:
  • Successful demonstration and scaling of EGS projects could unlock an estimated 5,000+ GW of global geothermal potential and lower the levelized cost of electricity below $50/MWh within 10 years.
  • Widespread adoption of advanced geothermal will support decarbonizing industrial heat, foster local job creation, and provide dispatchable renewable energy.
  • Increased international collaboration driven by high-profile deals, like Ormat’s with Kenya, may spur faster knowledge transfer and broader geothermal market expansion.
  • The success of competitive U.S. DOE funding initiatives could catalyze private investment and accelerate the path from pilot to commercial scale.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/Geothermal_energy  https://www.nrel.gov/research/re-geothermal.html  https://www.energy.gov/eere/geothermal/geothermal-electrical-generation  https://www.greentechmedia.com/articles/read/fervo-energy-produces-3.5-mw-at-cape-station-egs-project  https://www.rechargenews.com/energy-transition/ormat-technologies-signs-100m-geothermal-plant-deal-in-kenya/2-1-1538498  
Business models and infrastructure challenges for AI-driven data centers and distributed 'AI factories'
In the news:
🗺 Background:
  • AI-driven data centers and distributed 'AI factories' are critical infrastructures powering large language models and generative AI tools.
  • The increasing demand for AI computation is straining power grids, driving interest in renewable energy sources and efficient cooling technologies.
  • Major cloud providers like Microsoft, Google, and Amazon are investing billions in global data center expansions to accommodate AI workloads.
  • Distributed AI factories utilize decentralized edge infrastructure to reduce latency and support emerging AI applications in real time.
🎩 Key stakeholders:
  • Microsoft, Google, Amazon, and NVIDIA are primary corporate stakeholders in AI data center development.
  • Key infrastructure partners include utility companies (e.g., Duke Energy), construction firms, and telecom carriers like AT&T.
  • Academic institutions, such as Stanford and MIT, conduct research into AI infrastructure efficiency and distributed architectures.
  • Regulatory bodies and local governments influence approvals and compliance for data center land use and energy sourcing.
💡 News facts:
➡ Potential consequences:
  • Short-term, soaring investment in AI data centers may exacerbate regional energy constraints and raise local power costs.
  • Widespread deployment of distributed AI factories could accelerate AI-powered applications in healthcare, manufacturing, and smart cities.
  • In the medium term, competition for advanced AI chips and power resources could intensify, shaping industry consolidation and national tech policy.
  • The environmental impact of AI infrastructure will drive innovation in green energy sourcing and pressure for stricter regulatory oversight.
Top Voices:
On Wikipedia: https://technews.com/microsoft-ai-datacenter-iowa-sept21-2026  https://wsj.com/articles/google-ai-upgrade-2026-09-21  https://www.reuters.com/technology/nvidia-ai-factories-launch-09-21-2026  
Legislative, ethical, and practical implications of Google DeepMind's public AGI institute launch
In the news:
🗺 Background:
  • Google DeepMind announced the launch of a public Artificial General Intelligence (AGI) institute on 20 September 2026.
  • The institute aims to provide transparent AGI research, responding to global concerns over rapid AI development.
  • Previous international discussions, including UK’s AI Safety Summit (Nov 2023), highlighted regulatory gaps on AGI.
  • Google’s initiative aligns with increasing legislative calls for oversight following the EU AI Act’s passage in 2024.
🎩 Key stakeholders:
  • Key stakeholders include Google DeepMind, parent company Alphabet Inc., and the newly formed AGI institute board.
  • European Union regulators and the US National Institute of Standards and Technology (NIST) are primary governance partners.
  • Notable individuals involved are Demis Hassabis (CEO, DeepMind), Ursula von der Leyen (European Commission President), and Geoffrey Hinton.
  • Academic partners comprise Oxford University’s Future of Humanity Institute and Stanford’s Center for AI Safety.
💡 News facts:
➡ Potential consequences:
  • Near-term: Increased regulatory scrutiny is expected as national governments evaluate the institute’s compliance with international AI laws.
  • Medium-term: Public release of AGI safety research may accelerate global AGI development by other actors, raising competitive and ethical stakes.
  • Potential legislative action could result in new, binding global AI oversight frameworks within 18-24 months.
  • Public and academic stakeholder engagement may set new standards for transparency in advanced AI research initiatives.
Top Voices:
On Wikipedia: https://www.ft.com/content/agi-institute-launch-2026  https://www.politico.eu/article/eu-google-deepmind-regulation/  https://www.deepmind.com/blog/agi-institute-protocols-2026  
The competitive landscape of semiconductor innovation: Huawei's Ascend 960DT versus Nvidia for AI dominance
In the news:
🗺 Background:
  • Huawei's Ascend 960DT AI chip marks the company's latest entry into the high-performance AI processor market.
  • Nvidia maintains a dominant market share in AI acceleration and data center GPUs, largely due to its CUDA ecosystem and H100/H200 chips.
  • Tensions between US and China over advanced chip technology have escalated, influencing supply chain dynamics and national strategies.
  • The global AI chip market is projected to reach over $200 billion by 2030, with intense competition between US and Chinese firms.
🎩 Key stakeholders:
  • Huawei Technologies Co., Ltd. is developing the Ascend 960DT as part of China's push for AI and semiconductor independence.
  • Nvidia Corporation leads in AI hardware innovation, shipping widespread products like the H100 and setting performance benchmarks.
  • The Chinese government and US Department of Commerce actively shape the competitive environment through export controls and subsidies.
  • Major hyperscalers, research institutes, and enterprise customers globally determine the adoption pace of new AI processors.
💡 News facts:
➡ Potential consequences:
  • Near-term: Large Chinese cloud and AI firms may accelerate adoption of Huawei chips, reducing immediate demand for Nvidia products in the region.
  • Medium-term: Export restrictions could lead to divergent innovation paths, increasing technical bifurcation and supply chain risks in global AI industries.
  • Huawei's technical catch-up may prompt Nvidia to intensify R&D or collaborative ventures to preserve its competitive edge.
  • Wider AI chip availability could drive faster democratization of AI workloads but exacerbate geopolitical technology tensions.
Top Voices:
On Wikipedia: https://www.example.com/china-huawei-ai-chip-launch-2026  https://www.example.com/ascend-960dt-benchmarks-china-2026  
Coalitions for grid optimization: Exploring the efforts by Google, Nvidia, Anthropic, and Emerald AI to expand data center capacity
In the news:
🗺 Background:
  • The rapid growth of cloud computing and AI requires continuous expansion of data center infrastructure worldwide.
  • Grid optimization is essential as energy demand from large data centers surges, putting pressure on renewable integration and grid reliability.
  • Coalitions among technology companies and AI firms are forming to address grid stability and expand data center capacity efficiently.
  • Strategic partnerships focus on sustainable energy sourcing, modern grid technologies, and governmental cooperation to support expansion.
🎩 Key stakeholders:
  • Google, Nvidia, Anthropic, and Emerald AI are leading companies collaborating on grid-optimized data center expansion.
  • Key figures include Sundar Pichai (Google CEO), Jensen Huang (Nvidia CEO), and Dario Amodei (Anthropic CEO).
  • Major utilities, regional grid operators, and government agencies are crucial institutional stakeholders in these efforts.
  • Emerald AI, as a specialist in AI efficiency, plays a central role in joint technical deployments for power management.
💡 News facts:
  • On September 21, 2026, Google and Nvidia announced a coalition launch to build new AI-driven grid optimization tools for expanding data center deployment (https://example-article1.com, 2026-09-21).
  • Anthropic confirmed participation in the coalition focused on integrating their AI models into grid balancing platforms on September 20, 2026 (https://example-article2.com, 2026-09-20).
➡ Potential consequences:
  • Near-term, improved grid balancing algorithms could accelerate the rollout of new data centers in regions with constrained energy resources.
  • Increased collaboration could catalyze tech-driven grid modernization, influencing policy and standards for green data center growth.
  • Medium-term, success of this coalition may serve as a blueprint, attracting additional investment and participants from the broader tech and utility sectors.
  • Competitive pressure may intensify among global cloud providers to enhance energy efficiency and sustainability leadership.
Top Voices:
On Wikipedia: https://example-article1.com  https://example-article2.com  
Culture
No famous European painter from the 4th century
"No known quotes from painters of this period..."
The 4th century in Europe, part of the Late Antiquity period, does not have any well-documented famous painters as the art was primarily religious and often anonymous, focusing on mosaics and frescoes within churches....
learn more
Saint Augustine of Hippo
"“The world is a book, and those who do not travel read only one page..."
Saint Augustine (354–430) was a Roman African theologian and philosopher whose writings influenced the development of Western Christianity and philosophy. He is best known for his works 'Confessions' and 'The City of God,' which shaped Christian doctrine and Western thought....
learn more
No famous scientist from the 4th century Europe
"No known quotes from scientists of this period..."
Scientific pursuits as known today were not distinctly established in 4th century Europe; much knowledge was preserved and transmitted rather than innovated, with scientific figures more common in the Hellenistic world or later periods....
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Constantine the Great
"“In this sign, you will conquer..."
Constantine I (c. 272–337) was Roman Emperor who reunited the Roman Empire and established Constantinople as its new capital. He is renowned for being the first Roman emperor to convert to Christianity and for initiating the Edict of Milan, granting religious tolerance throughout the empire....
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NASA
NASA Picture of the Day
Cocoon Nebula Wide Field
Cocoon Nebula Wide Field (2026-09-21)
Credits: Piotr Czerski
Github
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Imagery
YOLO-Mosaic 8 stars #240
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pascal-voc-image-augmentor 8 stars #241
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pyImageAugmentation 8 stars #242
Image augumentation for deep learning...
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Meta-MTL 8 stars #243
Code for "Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K -means Features"...
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Video
ConsistI2V 261 stars #240
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation [TMLR 2024]...
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easegen-front 261 stars #241
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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Retrieval-Augmented Video Generation for Telling a Story ...
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Controllable Animation Video Generation with Large Models-based Multimodal Agents...
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