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Risenshine! Here is digest of signals harvested on 2026-06-05.
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Markets
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International - 06/05 |
-1.8458% -2.749% MoM | -1.4798% -2.3866% MoM | -0.7679% -1.9393% MoM | -1.3541% -2.2312% MoM |
-1.3541% -2.2312% MoM | -0.8174% -1.0926% MoM | -3.4751% -0.0456% MoM | -2.9% -7.6338% MoM |
-0.2993% -0.5226% MoM | -2.2936% -2.8506% MoM | -1.6003% +0.087% MoM | -1.7761% -7.0686% MoM |
-2.4806% +0.1254% MoM | -1.2287% -5.1969% MoM | -6.0378% +4.7601% MoM | -3.0195% -10.4551% MoM |
-3.0482% -1.1504% MoM | -5.8908% -26.1278% MoM | -0.1418% -7.3379% MoM | -2.0996% -2.3543% MoM |
-1.2732% -5.8198% MoM | -0.6369% -1.8353% MoM | -2.7428% -7.814% MoM | -0.109% -2.421% MoM |
-3.7253% -6.4917% MoM |
Commodities - 06/05 |
-3.1792% -7.6028% MoM | -6.9424% -11.1222% MoM | -2.9728% -0.9518% MoM | -5.6944% -13.0691% MoM |
-1.1236% -5.9512% MoM | -1.6929% +1.5933% MoM | -3.8175% +1.7936% MoM | -3.7541% +11.6268% MoM |
-1.2188% -7.7007% MoM | -0.7788% -4.3954% MoM | -8.5322% -21.0608% MoM | -4.719% -13.2976% MoM |
Favorites - 06/05 |
-2.6856% +0.5236% MoM | -9.288% +12.6284% MoM | -2.0185% +1.3166% MoM | -4.9712% -0.0192% MoM |
-9.224% +10.5705% MoM | -5.1423% +26.1623% MoM | -0.2167% -7.9094% MoM | -3.1759% -13.7797% MoM |
-0.9078% -5.7511% MoM | -11.7731% +46.279% MoM | -8.4631% -9.4593% MoM | -9.0753% +35.8571% MoM |
-9.7518% +13.6807% MoM | -10.5268% +64.4612% MoM | -0.0257% +8.2223% MoM | +1.236% -9.9734% MoM |
Sectors - 06/05 |
-1.7462% +1.3682% MoM | +1.3677% +6.0248% MoM | +0.0862% +0.762% MoM | +1.0811% +0.3129% MoM |
-7.7565% +9.6869% MoM | -0.5743% +3.0525% MoM | +1.4099% +0.6864% MoM | -0.0713% +7.1456% MoM |
-1.5329% -6.1973% MoM | -8.4256% +2.8846% MoM |
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Gainers
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Springview Holdings Ltd Class A Ordinary Shares +226.9% Springview Holdings Ltd conducts its operations through its indirect wholly-owned subsidiary, which designs and constructs residential and commercial buildings in Singapore. It als... | Real Messenger Corporation Warrants +155.4% Real Messenger Corp operates with its subsidiary in online marketplace that directly connects real estate agents with home buyers and sellers through its social network application... |
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Losers
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Nuwellis, Inc. Common Stock -59.1% Nuwellis Inc is a commercial-stage medical device company focused on developing, manufacturing, and commercializing medical devices used in ultrafiltration therapy, including the A... | Tortoise Energy Infrastructure Corporation Rights (expiring June 17, 2026) -58.2% ... |
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Business
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Impact and competitive strategy of AI-powered auctions in social commerce platforms |
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🗺 Background:- Social commerce platforms like TikTok Shop and eBay Live use real-time auction models to drive user engagement and generate sales.
- AI-powered auctions leverage machine learning algorithms to optimize bidding, pricing, and inventory allocation.
- The market for AI-driven auction solutions in social commerce is rapidly expanding, with startups attracting significant investments.
- These auctions are redefining the competitive landscape by integrating interactive, personalized shopping experiences.
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🎩 Key stakeholders:- Tilt is a startup competing directly with TikTok Shop and eBay Live by offering AI-powered auction technology.
- Investors recently backed Tilt with a $26 million funding round, showing strong confidence in its business model.
- Business Insider reported on Tilt's pitch deck and its strategic positioning in the AI auction space.
- Consumers, sellers, and e-commerce platforms are principal stakeholders affected by advances in AI auction systems.
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➡ Potential consequences:- In the near term, increased funding and competition may accelerate the adoption of AI auctions, enhancing conversion rates for sellers.
- Medium-term consequences include heightened competition among platforms, potentially forcing traditional e-commerce players to innovate.
- AI-powered auctions could lead to more dynamic pricing models and increased personalization in online retail.
- Regulators may begin to scrutinize AI-driven auction practices as they gain market share and influence consumer behavior.
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Leadership transitions and organizational impact at fintech unicorns: the case of Nubank |
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🗺 Background:- Nubank is a leading fintech unicorn headquartered in São Paulo, Brazil.
- The company has experienced rapid growth and now serves over 80 million customers across Latin America.
- Leadership transition is a notable aspect in fintech companies due to the industry's volatility and expansion.
- Nubank's executive roles have shifted several times as the company prepares for new phases of development.
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🎩 Key stakeholders:- Rob Livingston was appointed as Nubank's Chief Financial Officer in June 2026.
- Guilherme Lago served as CFO for five years and is transitioning to Special Advisor.
- Nubank's board of directors oversees major leadership changes and strategic direction.
- Associated Press and Business Wire reported on the leadership transition.
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➡ Potential consequences:- The CFO transition may signal Nubank's intent to accelerate international expansion in the near term.
- Medium-term, the change could affect Nubank's financial strategies, investor confidence, and potential IPO plans.
- Leadership continuity via former CFO as Special Advisor may help stabilize organizational culture during the transition.
- Stakeholder communication and strategic clarity will be crucial to minimize disruption and maintain market momentum.
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Market dynamics and growth drivers in global digital waste management solutions, 2024-2034 |
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🗺 Background:- Digital waste management solutions integrate IoT, analytics, and cloud technologies to optimize waste collection and processing.
- The market was valued at $2.97 billion in 2024 and is projected to reach $10.12 billion by 2034.
- Precedence Research estimates a compound annual growth rate (CAGR) of 13.04% for the sector over the next decade.
- Adoption is driven by global urbanization, stricter environmental regulations, and the need for efficient resource management.
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🎩 Key stakeholders:- Key companies include Precedence Research, Waste Management Inc., and Clean Harbors.
- Regulatory authorities such as the United Nations Environment Programme and national environmental agencies influence deployment.
- Technology partners like IBM and SAP provide digital platforms for waste tracking and optimization.
- Municipal governments are increasingly partnering with technology providers to implement smart waste solutions.
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💡 News facts:- On June 2, 2026, Precedence Research projected the global digital waste management solution market to hit $10.12 billion by 2034, up from $2.97 billion in 2024【1:0†
- Associated Press reported on June 2, 2026, that the market will expand at a 13.04% CAGR over the 2024-2034 period【1:0†
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➡ Potential consequences:- Near-term, increased investment in digital waste management may result in improved collection efficiency for urban centers.
- Medium-term, the sector's expansion is likely to generate new jobs in analytics and sustainability roles.
- Faster adoption could see regulatory standards for waste tracking become more rigorous and universal.
- Widespread digitalization may lead to enhanced transparency and reduced operational costs for waste management companies.
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AI embodiment: progress, technical challenges, and investment trends in robotics by major players |
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🗺 Background:- AI embodiment in robotics refers to integrating artificial intelligence models into physical machines for enhanced capabilities.
- Recent technological advances have accelerated efforts to merge AI with robotics, notably in Silicon Valley since 2023.
- Investment levels in robotics and embodied AI have surged, with major companies allocating billions of dollars to R&D.
- The field faces major technical challenges including sensor integration, safety, real-time processing, and reliable control systems.
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🎩 Key stakeholders:- OpenAI, Meta, and Tesla are among the leading corporations driving AI embodiment in robotics.
- Startups such as Figure Robotics and Boston Dynamics are competing with established tech giants.
- Investment institutions like Sequoia Capital and Andreessen Horowitz have increased funding for robotics ventures.
- Key researchers and executives include Elon Musk (Tesla), Sam Altman (OpenAI), and Yann LeCun (Meta).
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➡ Potential consequences:- In the near term, AI-embodied robots are expected to enter manufacturing and logistics sectors, increasing productivity.
- Medium-term consequences may include expanded use of autonomous robots in homes and public spaces.
- Intensified competition among tech giants could accelerate breakthroughs but also introduce regulatory and ethical challenges.
- Job displacement and safety concerns may emerge as robotics gain wider adoption across industries.
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Legal and policy frameworks affecting transgender military service in the United States |
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🗺 Background:- In 2016, the Obama administration allowed transgender individuals to openly serve in the U.S. military.
- President Trump's 2017 executive order reinstated restrictions on transgender military service, affecting thousands.
- Defense Secretary Pete Hegseth issued a policy disqualifying persons with gender dysphoria from military service.
- Legal challenges have continuously contested these bans and policies since their implementation.
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🎩 Key stakeholders:- The Department of Defense is the primary institution setting military service standards for transgender troops.
- Defense Secretary Pete Hegseth played a significant role in enforcing the disqualifying policy.
- Federal courts and appellate judges are central stakeholders in reviewing the legality of military bans.
- Transgender advocacy organizations, such as the National Center for Transgender Equality, actively shape public discourse.
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➡ Potential consequences:- Near-term, the court ruling could prompt the Pentagon to revise or rescind current disqualifying policies for transgender troops.
- Medium-term, increased inclusivity may improve military recruitment and retention of qualified transgender personnel.
- Legal precedent from this case may influence other U.S. federal employment policies affecting transgender individuals.
- Policy instability may persist as further appeals or legislative actions are likely from opposing stakeholders.
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Science News
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Financial strategies and risks in large-scale AI infrastructure investments |
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🗺 Background:- Large-scale AI infrastructure investments require massive capital expenditures to secure hardware, data centers, and power resources.
- Financial strategies often include debt issuance, equity offerings, and joint ventures to mitigate risk and access additional funding.
- Market volatility and rapid technological advancements add significant financial risks for companies investing in AI infrastructure.
- The scale and speed of AI buildouts have accelerated since 2023, with tech giants leading financing rounds in the tens of billions.
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🎩 Key stakeholders:- Alphabet Inc., Google's parent company, is a primary investor in AI infrastructure.
- Major financial institutions such as investment banks and asset managers facilitate capital raising and risk management.
- AI hardware vendors, including Nvidia and Intel, are integral stakeholders in infrastructure deployments.
- Regulatory bodies influence risk exposure through policy on data centers and energy consumption.
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➡ Potential consequences:- Alphabet's massive fundraising could shift market dynamics in AI, especially in infrastructure costs and competitive barriers in the near term.
- Aggressive investment strategies may expose Alphabet and similar companies to debt and liquidity risks in the medium-term.
- Expanded infrastructure may accelerate global AI adoption, creating new demand for skilled technical labor and raising regulatory scrutiny.
- Financial strain could trigger consolidation among smaller tech firms unable to match the pace of capital investment.
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Growth trajectory and acquisition strategies of defense tech startups |
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🗺 Background:- Defense tech startups have experienced rapid growth due to increased global military spending and demand for autonomous systems.
- Acquisition strategies in this sector often involve raising substantial capital and focusing on disruptive technologies like autonomous vehicles.
- Companies in this sector are frequently founded by young entrepreneurs, sometimes under the age of 25.
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🎩 Key stakeholders:- Ethan Thornton is the 22-year-old founder and CEO of Mach Industries.
- Mach Industries is a leading defense tech startup focused on autonomous vehicles.
- Key investors and acquisition partners include undisclosed venture capitalists supporting Mach Industries.
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➡ Potential consequences:- Near-term: Increased capital influx could boost hiring and speed up deployment of autonomous defense technologies.
- Near-term: Competitors may accelerate their own acquisition strategies to match Mach Industries' rapid growth.
- Medium-term: Mach Industries' expansions may set new industry benchmarks for valuation and product development speed.
- Medium-term: Military clients may push for faster integration of autonomous systems, influencing procurement cycles.
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Market disruption potential of AI agent PCs in the global CPU market |
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🗺 Background:- The global CPU market is valued at approximately $200 billion as of 2026.
- AI agent PCs leverage advanced processors to enable intelligent software functions seamlessly on personal computers.
- Traditional CPU manufacturers face increasing competition from companies integrating AI technologies into consumer hardware.
- Recent advances in AI and hardware design have created new categories and use cases for PC devices equipped with AI capabilities.
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🎩 Key stakeholders:- Nvidia is a leading stakeholder, actively pursuing the AI agent PC segment.
- Microsoft, Dell, and HP have partnered with Nvidia for the launch of AI agent PCs.
- The market disruption affects both incumbent CPU manufacturers (like Intel and AMD) and established PC vendors.
- TechCrunch acts as a primary information source on industry developments related to AI agent PCs.
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➡ Potential consequences:- In the near-term, PC vendors may shift procurement and design towards AI-capable platforms, potentially reducing reliance on traditional CPU makers.
- Medium-term, the adoption of AI agent PCs could accelerate consumer demand for more powerful and energy-efficient AI processors.
- The integration of AI may foster new software ecosystems and redefine personal computing workflows in both enterprise and consumer segments.
- Market share for established CPU suppliers could be at risk if AI agent PCs gain widespread adoption.
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Legal and ethical challenges arising from AI’s involvement in real-world violence |
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🗺 Background:- AI technologies have increasingly been implicated in real-world violent incidents, raising legal and ethical concerns since 2023.
- Questions about liability and regulation emerged as AI systems such as ChatGPT gained widespread use in sensitive and potentially dangerous contexts.
- Legal and ethical frameworks struggle to keep pace with the rapid integration of AI in settings that affect public safety.
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🎩 Key stakeholders:- OpenAI, the developer of ChatGPT, faces scrutiny for its AI applications in societal incidents.
- Sam Altman, CEO of OpenAI, is directly named in the recent Florida lawsuit concerning AI-driven violence.
- Florida State University is involved due to its connection to the shooting central to recent legal action.
- State of Florida has initiated legal proceedings to clarify liability for AI-influenced violence.
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➡ Potential consequences:- If Florida prevails, precedent for holding AI firms liable for violent acts could reshape the tech industry's risk management in the near term.
- Medium-term regulatory changes may be introduced to govern AI deployment in public-facing scenarios, including universities.
- Wider adoption of AI ethical guidelines and enhanced oversight could result if other states follow Florida's lead.
- Uncertainty around AI liability could deter companies from developing advanced AI technologies for fear of legal repercussions.
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Clinical trial methodology and results for the new pancreatic cancer pill |
🗺 Background:- Pancreatic cancer is one of the deadliest cancers, with 5-year survival rates historically below 10%.
- Traditional treatments include chemotherapy, but gains in survival time have been limited.
- Researchers recently developed an oral pill targeting advanced pancreatic cancer.
- The pill was evaluated in a clinical trial comparing its efficacy to standard chemotherapy infusions.
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🎩 Key stakeholders:- The clinical trial was conducted by a research team affiliated with New Scientist.
- Patients with advanced pancreatic cancer participated in the trial.
- Biotechnology firms involved are collaborating with medical institutions for drug development.
- Regulatory bodies will review the trial data for potential fast-track approval.
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💡 News facts:- On June 1, 2026, New Scientist reported that people with advanced pancreatic cancer taking the experimental daily pill lived nearly twice as long as those receiving chemotherapy infusions.
- The daily pill for pancreatic cancer demonstrated transformative efficacy according to New Scientist's publication on 2026-06-01.
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➡ Potential consequences:- Near-term, patients may gain access to a more effective and convenient treatment option for advanced pancreatic cancer.
- Medium-term, improved survival rates could stimulate more investment and clinical trials in oral oncology drugs.
- Regulatory review may accelerate approval timelines if results continue to demonstrate superior outcomes over chemotherapy.
- Healthcare providers may adjust treatment protocols based on the pill's efficacy and patient tolerability.
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Culture
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No well-documented famous painter from the 9th century Middle East is known "N/A..." The 9th century Middle East had limited surviving records of painters as Islamic art focused more on calligraphy and geometric patterns rather than figurative painting. Therefore, no specific famous artist painter from this century and region is historically recognized.... | Al-Khwarizmi "The science of algebra is the foundation of all knowledge..." Abu Abdullah Muhammad ibn Musa al-Khwarizmi was a Persian polymath who produced works in mathematics, astronomy, and geography during the Islamic Golden Age in the 9th century. He is often considered the father of algebra due to his influential book 'Al-Kitab al-Mukhtasar fi Hisab al-Jabr wal-Muqaba... |
Al-Kindi "There is no contradiction between reason and revelation; both lead to the truth..." Abu Yusuf Ya'qub ibn Ishaq al-Kindi was an Arab Muslim philosopher, mathematician, and scientist who lived in the 9th century. He is known as the 'Philosopher of the Arabs' and made significant contributions to cryptography, philosophy, and optics.... | Harun al-Rashid "Knowledge is the best provision for the journey to the hereafter..." Harun al-Rashid was the fifth Abbasid Caliph who ruled from 786 to 809 CE and presided over the peak of the Islamic Golden Age. His reign is noted for advancements in science, culture, and the arts, and he is a prominent figure in the 'One Thousand and One Nights' stories.... |
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NASA
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NASA Picture of the Day
Credits: NASA / APOD |
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Github
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Trading tools |
cryptoquant-ai 166 stars #60 CryptoQuant AI is an advanced, open-source quantitative trading platform designed to bridge the gap between algorithmic market execution and artificial intelligence. Built entirely... | ptradeAPI 162 stars #61 PTrade is a full‑featured quantitative trading platform for developing, backtesting and executing strategies across stocks, convertible bonds, futures, ETFs, and options. This proj... |
tesser 151 stars #62 🧊 A High-Perf Quantitative Trading Framework for Crypto... | Algo-Trading 148 stars #63 This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine le... |
Sea Vessels |
norbit-hw 1 stars #60 A single-page web application that uses WebSocket to track and display real-time boat position on a map, using the OpenLayers API.... | opencpn 1 stars #61 Designed to be used at the helm station of your boat while underway. Chart a course and track your position right from your laptop.... |
SQL-Analysis-for-Maritime-Operations 1 stars #62 A database management system for a fictional company "Solent," designed for efficient boat management. Includes features like customer and staff management, service tracking, yard ... | SailLine 1 stars #63 Competitive sailors lack an accessible, unified tool that combines real-time wind and weather data, live competitor tracking, boat-specific performance modeling, and intelligent ta... |
Air Vessels |
planetmath-docs 7 stars #60 Documentation for the PlanetMath website and organization to be read in combination with the Planetary issue tracker.... | FlightradarRadar 7 stars #61 Interesting plane tracker based on an lilygo t-display s3 amoled... |
DLVS 7 stars #62 A novel deep learning based visual servoing architecture “DLVS” is proposed for control of an unmanned aerial vehicle (UAV) capable of quasi-stationary flight with a camera mounte... | touchtable-infrared-tracker 6 stars #63 An application for tracking IR leds on a 2D plane.... |
Imagery |
Physics-ArX 75 stars #60 Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'23, PMB'21, Medical Physics'21, AAPM'21]... | DiffTPT 72 stars #61 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adaptation with Text and Image Augmentation... |
HistoGAN 71 stars #62 Code for "Generative Image Translation for Data Augmentation in Colorectal Histopathology Images" full paper at ML4H Workshop at NeurIPS 2019.... | AADG 70 stars #63 [TMI'22] "AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation".... |
Video |
MiniMax-MCP 1502 stars #60 Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.... | Phantom 1497 stars #61 Phantom: Subject-Consistent Video Generation via Cross-Modal Alignment... |
wfb-ng 1452 stars #62 WFB-NG - the next generation of long-range packet radio link based on raw WiFi radio... | video-diffusion-pytorch 1383 stars #63 Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch... |