RENO, Nev., Sept. 02, 2025 (GLOBE NEWSWIRE) -- GreetEat Corporation (OTC: GEAT), a forward-thinking technology company dedicated to building next-generation platforms, today announced the official re-launch of its subsidiary Wall Street Stats (WallStreetStats.io) applications on both iOS and Android. The updated apps deliver a powerful suite of new tools designed to empower investors with deeper insights, smarter analytics, and a cutting-edge user experience. The new release introduces an upgraded platform ...

Company Overview - One Stop Systems, Inc. (OSS) is a leader in AI-enabled solutions for edge computing, providing rugged, enterprise-class compute and storage products [2][4] - The company designs and manufactures products that support AI, sensor fusion, and autonomous capabilities in challenging environments [2][4] Product Offerings - OSS products include ruggedized servers, compute accelerators, flash storage arrays, and storage acceleration software, utilized across various industries such as autonomous trucking, farming, and defense [3][4] - The solutions address the entire AI workflow, from data acquisition to deep learning and large-scale inference, delivering high performance in demanding conditions [4] Market Position - OSS operates in the rapidly growing segment of the multi-billion-dollar edge computing market, focusing on AI-enabled solutions that require high performance [4] - The company has achieved many industry firsts for industrial OEM and government customers, highlighting its innovative capabilities [4] Upcoming Events - OSS will participate in the H.C. Wainwright 27th Annual Global Investment Conference from September 8-10, 2025, at the Lotte New York Palace Hotel, and the Lake Street Capital Markets 9th Annual Best Ideas Growth BIG9 Conference on September 11, 2025, at The Yale Club [6]

CAPITAL MARKETS DAY LONDON | SEPTEMBER 2, 2025 TODAY'S SPEAKERS Jalin Ketter CEO Dr. Peter Czurratis Vice President Metrology Dr. Jan Pfeiffer Vice President Research & Development 2 Carl Markus Groß CFO Dr. Udo Broich Vice President Material Solutions 12.45-14.00 | GET TOGETHER & LUNCH 09.00-09.15 | INTRODUCTION & OVERVIEW 09.15-10.00 | Strategy 11.30-12.00 | FINANCIALS 12.00-12.45 | Q&A 10.00-10.30 | COFFEE BREAK 10.30-11.30 | MARKETS AGENDA 3 COMPANY OVERVIEW 4 INTRODUCING: PVA TODAY A GLOBAL PROVIDER OF ...

Market Overview - Wall Street continues its upward trend, with major stock indexes like the Dow, S&P 500, and Nasdaq Composite trading near all-time highs [1] - The technology sector, particularly driven by the adoption of generative AI, has been a significant contributor to this rally [2] Company Highlights: Amphenol Corp. (APH) - Amphenol provides AI and machine learning-based connectivity solutions, including high-density connectors and cables [6] - The company holds a 33% market share in AI/data center interconnects, benefiting from strong demand in hyperscale data centers and 5G deployments [7] - Amphenol's revenue for 2025 is estimated at $21.54 billion, reflecting a 41.5% year-over-year increase, with earnings per share projected at $3.02, a 59.8% increase [11] - For 2026, revenues are expected to reach $23.49 billion, a 9% year-over-year growth, with earnings per share of $3.38, indicating an 11.7% increase [12] Company Highlights: AppLovin Corp. (APP) - AppLovin operates a software platform for mobile app developers, enhancing marketing and monetization efforts [13] - The company's AI engine, Axon 2.0, has significantly improved ad performance, leading to a quadrupling of advertising spend on its platform [14] - AppLovin's revenue for 2025 is projected at $5.5 billion, a 16.7% year-over-year increase, with earnings per share expected to be $8.95, a 97.6% increase [18] - For 2026, revenues are estimated at $6.9 billion, a 26.2% year-over-year growth, with earnings per share of $13.50, indicating a 50.9% increase [19]

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):3 expert ways to use GROUP BY in SQL, clearly explained (with code): ...

RT Avi Chawla (@_avichawla)You can watch this ML course with your grandma.Making Friends with ML is the best non-technical intros to ML I’ve ever seen.A 6.5-hour course that covers:- Intro to ML- ML in practice- The 12 steps of AI- Intro to ML algorithmsRequires zero technical background. https://t.co/x6hF9E9Hlj ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):You can watch this ML course with your grandma.Making Friends with ML is the best non-technical intros to ML I’ve ever seen.A 6.5-hour course that covers:- Intro to ML- ML in practice- The 12 steps of AI- Intro to ML algorithmsRequires zero technical background. https://t.co/x6hF9E9Hlj ...

You can watch this ML course with your grandma.Making Friends with ML is the best non-technical intros to ML I’ve ever seen.A 6.5-hour course that covers:- Intro to ML- ML in practice- The 12 steps of AI- Intro to ML algorithmsRequires zero technical background. https://t.co/x6hF9E9Hlj ...

[Music] Hello everyone. What if I told you your life already has a superpower. For me, the superpower had a name.It was my grandma. How many of you believe that our grandparents had a superpower. A power to know about everything. A power to predict anything.My grandmother could believe. My grandmother could remember everything from birthdays to marriage anniversaries. Not only that, but also everyone's favorite recipe.She was a walking encyclopedia in our family. If anyone has any questions, the answer come ...

Project Overview - The project focuses on using deep learning and open AI to aid in archaeological site discovery, specifically in the Amazon rainforest [2][4][10] - The team developed a scalable system (AKOS) integrating open AI to enhance the system's intelligence [1] - The approach involves training classifiers on satellite images and lighter data to classify segments of the Amazon forest, dividing the region into 3x3 km tiles [2] - The team created an interactive website where users can explore potential sites in detail [3] Technical Approach - Deep learning is considered a valuable tool for discovering archaeological sites, especially in the Amazon [10] - GPT models are used as collaborators, assisting in decision-making by providing multiple solutions and discussing their strengths and weaknesses [12] - The team used GPT for summarization, providing detailed descriptions of potential spots to help archaeologists understand why the model chose them [16] Results and Findings - The model successfully identified potential discovery sites, which were confirmed through manual analysis based on archaeological knowledge [3][14] - The deep learning approach is scalable enough to scan the entire Amazon rainforest in a reasonable time [4] - Configuration changes improved the visibility of features, leading to the identification of over 100 potential sites [3] Future Plans - The team intends to make their work public to gather feedback and inspire further research [18] - They plan to improve their approach and share it with a broader community, potentially inspiring applications in other fields [18]