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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]

QuantGate Systems Inc. Announces Board Changes and Appointment of a New Independent DirectorAugust 28, 2025 9:07 AM EDT | Source: QuantGate Systems Inc.Toronto, Ontario and New York, New York--(Newsfile Corp. - August 28, 2025) - QuantGate Systems Inc. (OTCQB: QGSI) (the "QuantGate" or "Company"), an Artificial Intelligence ("AI"), Machine Learning ("ML") SaaS-based Fintech solutions company, is pleased to announce today the appointment of Mr. Christophe Kabeya as an Independent Director of th ...

LLM Insights - Tutorials and insights on DS (Data Science), ML (Machine Learning), LLMs (Large Language Models), and RAGs (Retrieval-Augmented Generation) are shared daily [1] - Temperature in LLMs is clearly explained with code [1] Engagement - The author encourages readers to reshare the content if they found it insightful [1]

Join us for an X Space hosted by @asteraixyz to discuss Web3 intelligence today at 11:30 UTC 👇https://t.co/GQva6cPlZMAster AI 🔶 (@asteraixyz):Aster AI AMA Alert: On-Chain Brains: How AI and ML are Reshaping Web3 IntelligenceTime: August 28 | 11:30AM UTCHost: Sophia – Head of BD at Aster AIGuest Speakers:1. Oliver - Co-Founder at @Gata_xyz2. Mia - BD Manager at @four_meme_3. Walter - Business https://t.co/y5uIAADggI ...

Summary of Motorola Solutions (MSI) 2025 Conference Company Overview - **Company**: Motorola Solutions (MSI) is a leader in public safety and security, having separated from Motorola Mobility in 2011. The company has expanded its portfolio through acquisitions, including Avigilon in 2018, and is now a top player in public safety communications and video security globally, excluding China [4][5]. Key Points and Arguments Technology Roadmap - **APX NEXT Adoption**: The adoption of the APX NEXT portable radio has been strong, with 90% of customers subscribing to the app suite. The company is focused on integrating LMR with LTE and 4G to enhance data-driven applications [6][7]. - **5G Demand**: There is currently no significant demand from customers for 5G integration, as existing solutions are meeting their needs for bandwidth and resilience [8]. - **Satellite Connectivity**: Satellite technology is seen as a complementary solution rather than a standalone option due to bandwidth limitations and the need for clear line-of-sight for effective communication [9][10]. Recent Acquisition - **Silvis Acquisition**: The $4 billion acquisition of Silvis enhances MSI's capabilities in mobile ad hoc networking (MANET) for secure communications, particularly in defense applications. Silvis has proven technology in harsh environments, including drone communications [11][12][13][14][15][16]. Cloud Migration and AI Integration - **Cloud Architecture Risks**: Customers are hesitant about migrating to cloud-based architectures due to concerns over availability. MSI is addressing this by ensuring cloud solutions can serve as failover mechanisms for on-premises systems [17][18]. - **AI and Machine Learning**: AI is being leveraged to enhance network performance, improve audio clarity in noisy environments, and monitor network health. The company processes approximately 1 billion cyber incidents daily, with 99% triaged by AI [20][21][22]. Product Innovations - **SVX Body Worn Assistant**: The SVX combines a remote speaker mic and body-worn camera into one device, enhancing evidentiary capabilities and reducing the weight officers carry. The product has seen strong adoption since its launch [26][27][28][29]. - **AI in Video Security**: Over 80% of MSI's cameras have AI capabilities, and the company has integrated advanced AI analytics into both on-premises and cloud solutions [30][31][32][34]. Market Position and Strategy - **Recurring Revenue Growth**: MSI is experiencing strong growth in recurring revenue and SaaS, with SaaS revenue in the command center portfolio growing at over 2x the overall revenue [48][49]. - **IP Protection**: The company has strengthened its IP protection processes and has exited the Chinese market to safeguard its technology [47]. Future Outlook - **Investment in R&D**: MSI is focusing on deep domain knowledge in areas like RF capabilities and AI to address customer needs effectively. The company is exploring the use of off-the-shelf silicon rather than custom solutions for AI applications [44][45][51]. Other Important Content - **Public Safety Workflow**: The consolidation of roles in public safety incident workflows presents an opportunity for MSI to leverage AI to optimize operations [37]. - **Natural Language Processing (NLP)**: MSI has developed NLP capabilities to enhance emergency response, including transcription and translation services for 911 calls [39][40][41][43]. This summary encapsulates the key insights and developments discussed during the Motorola Solutions conference, highlighting the company's strategic direction, technological advancements, and market positioning.

Social Media Impact - Social media platforms, while seemingly engaging, can lead to feelings of depression and frustration [1] - The algorithms of AI and machine learning on social media are so sophisticated that users can become addicted negatively without realizing it [1] - American Surgeon General advises keeping children away from social media due to addiction and mental sickness [2] - Social media platforms can cause "Fear of Missing Out (FOMO)" and other conditions that may lead to suicidal tendencies [2] Data Privacy and Usage - User data is highly valuable, and companies collect it through surveys and feedback forms, which can be used for cyber fraud [2] - Facebook's parent company, Meta, has faced fines for selling user data acquired through WhatsApp, despite promises of end-to-end encryption [3] - Cambridge Analytica used data from social media to influence elections, highlighting the potential for manipulation [3] AI and Content Generation - AI-generated content on platforms like TikTok may be entertaining but can have negative consequences [3] - Social media platforms in China promote content that encourages children to become scientists and doctors, while in the US, the same platform encourages them to become social media influencers [1]

Core Insights - Aether Holdings, Inc. has expanded its Alpha Edge Media division by launching six new branded newsletters that cover various investment areas including equities, IPOs, small-cap stocks, and digital assets [1][2][3] - The expansion aims to grow a subscriber base, both free and paid, while integrating a structured data infrastructure to support AI-driven investor tools [2][3][4] Group 1: Strategic Development - The new newsletters are part of Aether's strategy to develop engaging online content that attracts readers and generates proprietary data [2][6] - Aether's media ecosystem is designed to feed data into its subsidiary Aether Labs, enhancing predictive analytics and investor tools [3][4] Group 2: Business Model and Revenue Generation - Aether is creating a multi-revenue ecosystem that includes media subscriptions, data licensing, and live community events, aiming to diversify its business model [5][6] - The initiative is expected to create a self-reinforcing growth loop where new newsletters attract more readers, generating more data that improves Aether's models and monetization potential [6] Group 3: Technology Integration - Aether's flagship platform, SentimenTrader, utilizes machine learning and AI to provide advanced sentiment analysis, integrating over 20 years of sentiment data [8] - The company is focused on building an ecosystem that combines advanced technologies with the expertise of its trading veterans to empower investors [9]

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):There's a new way to build production-grade MCP servers.- It takes less than a minute.- You don't have to write any code.- You can integrate from 100k+ tools.Here's a step-by-step breakdown (100% local): ...