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Analyticsindiamag
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How Cognite is Building its ‘ChatGPT for Industrial AI’ from Bengaluru
- Cognite is expanding its global capability centre (GCC) in Bengaluru, India to attract top AI and ML talent for its chatGPT for industrial AI.
- Cognite specializes in providing data and AI solutions for asset-heavy industries like manufacturing, oil and gas, and energy.
- The company aims to make the India Centre the R&D hub for scaling its agentic AI framework, Atlas AI, which enables seamless access to diverse data sources.
- Cognite's decision to establish the GCC in Bengaluru is due to the city's abundant talent pool and deep expertise in AI and data engineering.
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Medium
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Planning the Perfect Vacation: A Journey to Remember
- Step 1: Choosing the Destination - Consider your interests, weather, travel restrictions, and budget to choose the perfect destination.
- Step 2: Setting a Budget - Plan your expenses in advance to avoid overspending. Use budgeting apps or spreadsheets to track your costs.
- Step 3: Booking Flights and Accommodations - Book early to secure the best deals. Read reviews and sign up for price alerts to save money.
- Step 4: Creating an Itinerary - Research attractions, events, and hidden gems. Prioritize must-do activities and leave room for flexibility.
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VentureBeat
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2025 has already brought us the most performant AI ever: What can we do with these supercharged capabilities (and what’s next)?
- The latest AI large language model (LLM) releases are performing at PhD levels and are seen as a significant advancement in the AI field.
- Claude 3.7 from Anthropic and Grok 3 from xAI are examples of highly capable AI models with advanced reasoning abilities.
- These newer AI models have been trained using significantly more computing power, leading to a noticeable jump in capabilities.
- AI's increasing ability to tackle complex problem-solving and the rapid expansion of compute power are supercharging AI abilities.
- OpenAI's deep research AI agent and Google DeepMind's AI co-scientist are examples of tools designed to accelerate research and hypothesis generation.
- Advances in AI models like Claude 3.7, OpenAI deep research, and Google AI co-scientist are moving towards realizing artificial general intelligence (AGI) and transforming scientific progress.
- The potential of AI is not without challenges and setbacks, as seen with the downfall of projects like Humane AI Pin and difficulties faced by startups like Sensei Ag.
- AI's growing capabilities in scientific discovery, reasoning, and decision-making offer promise but also pose risks of disruption and instability, impacting the workforce and societal structures.
- Investment in governance, education, and workforce adaptation is crucial for successful navigation of the challenges posed by AI's transformative impact.
- While economic disruptions and social unrest may accompany AI advancements, societies can adapt by building ethical frameworks, enforcing transparency standards, and mitigating risks for a responsible integration of AI technology.
- Collaboration among scientists, policymakers, and business leaders is essential to ensure the equitable distribution of AI's benefits and address the risks associated with AI advancements.
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Medium
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450
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Bazaar: An Ending for a Start.
- The author reflects on various aspects in the 16th edition of their bazaar, highlighting their journey in understanding a symbiotic system through particle physics.
- Despite taking 8 months to create a simple article on symbiosis, the author values imperfections in nature and aims for authenticity over perfection.
- Each article in the bazaar series contributes to a larger system, symbolized by '1: Bazaar,' emphasizing interconnectedness and symbiosis.
- The author shares personal insights on emotions, choices, and the importance of gratitude and giving without expectations.
- They discuss the value of learning from others, communication, and the acceleration of understanding based on interaction with a diverse range of individuals.
- The utilization of AI plays a significant role in the author's journey, leading to reflections on personal growth, learning, and the law of attraction.
- The concept of end and beginning is explored, with an emphasis on recycling, fear of the unknown, and the role of consciousness in blocking limiting thoughts.
- The article marks a new starting point for the author, hinting at future topics to be covered, such as commerce, HR, and temperature principles.
- Overall, the piece delves into personal development, philosophical thoughts, and the interconnectedness of experiences and knowledge.
- The author's journey from reluctance towards AI to embracing its potential showcases a transformative mindset towards learning and adaptation.
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Medium
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272
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Stop Using Generic Indicators! How to Create Your Own in Pine Script
- Stop Using Generic Indicators! How to Create Your Own in Pine Script
- The author shares their experience of using generic trading indicators and highlights the limitations of such tools.
- They explain how they started coding their own indicators to better suit their trading style and strategy.
- By incorporating both price and volume factors, the author created a custom indicator that adapted to market conditions and provided stronger signals.
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Hackernoon
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Unveiling GitHub's Secret Blueprint—How to Handle Millions of Transactions Daily
- GitHub is a highly scalable distributed system that processes millions of transactions daily, relying on robust algorithms and architecture.
- Challenges faced by large-scale version control systems include processing millions of daily transactions and efficiently computing file differences.
- GitHub uses diff algorithms like Myers’ Algorithm to track file changes efficiently.
- Myers’ Algorithm finds the shortest edit sequence needed to transform one file version into another.
- A JavaScript implementation of Myers’ Algorithm involves computing the minimum edit distance between two arrays.
- GitHub employs a multi-layered architecture to handle transactions, including API reception, queueing, microservices processing, and database updates.
- JavaScript code simulates GitHub-like transaction processing using Promises for asynchronous parallel processing.
- Key takeaways include asynchronous processing, step-by-step simulation of transactions, and scalability principles.
- GitHub's scalable approach combines optimized diff algorithms, distributed architecture, and parallel transaction processing.
- These techniques are not unique to GitHub and are used in other version control platforms and large-scale data processing systems.
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Medium
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Top AI Trends Shaping the Real Estate Industry in 2025
- AI is revolutionizing the real estate industry by automating processes, analyzing data, and enhancing customer experiences.
- Advancements in AI include machine learning models for pattern recognition and predictions in real-time decision-making.
- AI-driven solutions streamline tasks like property search, virtual tours, and automated valuation models for faster, smarter processes.
- Automation in real estate reduces human workload, minimizes errors, and allows professionals to focus on high-value tasks.
- AI enhances cost-efficiency, optimizes pricing strategies, and improves resource allocation for more profitable transactions.
- Personalized property recommendations, virtual tours, and AI chatbots improve user experiences and efficiency throughout the real estate lifecycle.
- AI contributes to higher ROI by making transactions faster, reducing overhead costs, and improving lead conversion rates.
- AI trends shaping real estate in 2025 include advanced image processing for appealing and compliant property listings.
- AI-powered immersive technologies like virtual and augmented reality enhance property exploration and lead to quicker, more informed purchases.
- Predictive analytics, automated pricing models, and hyper-personalization through AI refine marketing strategies, boost conversion rates, and maximize revenue.
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Medium
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Dynamic Programming with Bitmasks: CSES “Elevator Rides”
- The CSES problem set, created by Antti Laaksonen and other developers, is a valuable resource for programming practice.
- The problem 'Elevator Rides' involves finding the optimal number of rides and weight of the last trip in a permutation.
- A dynamic programming approach can be used to solve the problem by defining a state with parameters related to the optimal permutation.
- The time complexity of the solution depends on the iteration over subsets of the set, similar to knapsack problems.
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Medium
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Video Editing & Content Creation:
- Understand the basics of video editing including cutting & trimming, pacing & timing, color grading, and sound design.
- Focus on storytelling and consider the message, emotions, and structure of the video.
- Create short and engaging content to cater to shrinking attention spans, using strong visuals and trending music.
- Experiment, learn from other creators, and continuously improve your video editing skills.
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UX Design
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450
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The business challenge for AI-native applications
- The business challenge for AI-native applications
- AI-native applications have AI integrated into the core of their products.
- Some companies, such as OpenAI and Google DeepMind, develop and offer access to their AI models.
- The challenges include evaluating AI systems, UX design, and building a business case.
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27 Likes
Medium
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ArcheanVision: A Secure and Compliant Platform for Data Scientists, Blockchain Technologists, and…
- ArcheanVision, an AI-driven financial market analytics platform, has undergone a compliance audit conducted by Coinpliance.
- The audit focused on user data and API key management, highlighting ArcheanVision's strict prohibition on withdrawals to prevent unauthorized asset transfers.
- Coinpliance specializes in regulatory audits for blockchain-based platforms and digital asset firms, ensuring compliance with AML regulations and data protection frameworks.
- The successful audit confirms ArcheanVision's reputation as a secure and regulatory-compliant solution for data scientists, traders, and financial institutions.
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10 Likes
Medium
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368
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How Subqueries Work in SQL for PostgreSQL
- Subqueries are essential for performing complex operations and extracting data from one table based on conditions applied to another table in PostgreSQL.
- A subquery, also known as an inner or nested query, is a query within another query.
- PostgreSQL supports subqueries in SELECT, INSERT, UPDATE, and DELETE operations.
- This article provides a deep dive into understanding how subqueries work in PostgreSQL, including syntax, types, use cases, best practices, and performance considerations.
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22 Likes
Medium
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Intro — Probability in Python: Coupon Collector’s Problem: A New Take
- A company sells boxed products, where each box contains 1 coupon randomly selected from a set of 50 distinct types.
- The expected number of boxes needed to collect all 36 special coupons out of 50 types is approximately 209.
- A simulation method verifies the theoretical value, with an average of 208.55 boxes required.
- The problem can be generalized to calculate the expected number of draws for any partial collection size.
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Dev
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Sorting Algorithms Explained – With Fun & Real-Life Examples!
- Sorting algorithms are everywhere in real life! Let’s understand them with fun and relatable scenarios.
- Bubble Sort: Slow and repetitive method, swapping two elements at a time if they’re in the wrong order.
- Selection Sort: Scanning the whole list to find the smallest element and moving it to the front.
- Insertion Sort: Placing one element at a time in the correct order while keeping the rest sorted.
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12 Likes
Medium
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45
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How I Improved My Pine Script Trading Strategy by 40% (and How You Can Too)
- A trader shares how they improved their Pine Script trading strategy by 40% and offers insights on how others can do the same.
- The initial script showed promising results in historical testing, but failed when switched to live trading due to early/late entries, false signals, and random stop-loss placement.
- The trader fixed the issues by adding a long-term moving average filter, implementing a confirmation rule, and testing a dynamic profit target.
- These changes significantly reduced bad trades, increased the average winning trade size, and improved overall strategy returns by 40%.
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