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Data Science News
Analyticsindiamag
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Phonepe Faces UPI Outages After Disaster Recovery Drill Overloads New Data Centre
- PhonePe faced a significant UPI outage on Monday around 7:30 PM due to network capacity shortfall at the newly deployed data centre during disaster recovery drills.
- All traffic was routed through the new data centre as part of heightened cybersecurity measures, leading to infrastructure failure under high transaction volume.
- Rahul Chari, the co-founder and CTO of PhonePe, cited the escalation of conflict as the reason behind the active disaster recovery drills that caused the outage.
- Vijay Shekhar Sharma, Founder of Paytm, confirmed smooth UPI operations on the Paytm platform amidst PhonePe's outage issues.
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Hackernoon
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The 10 Weirdest, Most Brilliant Algorithms Ever Devised and What They Actually Do
- The Marching Cubes algorithm, invented in 1987, helps in extracting a polygonal mesh from a 3D discrete scalar field, enabling the creation of 3D models from medical scans.
- Wave Function Collapse algorithm, inspired by the double-slit experiment, is used to procedurally generate infinite maps for video games, providing randomness with a purpose.
- The Diffusion Model, based on thermodynamics, is used in AI to refine noise into meaningful images like DALL·E and Stable Diffusion, revolutionizing image generation.
- Simulated Annealing algorithm, inspired by metallurgy, optimizes solutions by balancing exploration and exploitation, a metaphor for learning to code.
- Sleep Sort algorithm, which uses thread sleeping times for sorting, showcases a clever yet impractical sorting approach.
- BOGO Sort humorously relies on random shuffling for sorting, with a fictional concept of Quantum BogoSort leveraging parallel universes for instant sorting.
- BOID algorithm simulates bird flocking behaviors with three simple rules, demonstrating nature-inspired decentralized coordination through minimal code.
- SHOR’s Algorithm, utilizing quantum mechanics concepts like qubits, superposition, and entanglement, aims to revolutionize integer factorization for cryptographic applications.
- Marching Cubes algorithm transforms 3D scalar fields into visual surfaces, revolutionizing medical imaging by creating 3D models from CT or MRI scans.
- Practical Byzantine Fault Tolerance algorithm ensures consensus in distributed systems, crucial for blockchain and cloud databases to maintain trustworthiness.
- Boyer-Moore string search algorithm, used in tools like grep, efficiently searches patterns by scanning text from right to left using heuristics, showcasing the power of unconventional ideas in algorithms.
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Analyticsindiamag
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Ray-Ban Meta Glasses with AI Features Now Available for Pre-order in India
- Ray-Ban Meta glasses are available for pre-order in India starting at ₹29,900, offering voice-enabled features and hands-free communication.
- The glasses integrate Meta AI, allowing users to interact via voice commands like asking questions, streaming music, taking calls, and going live on Instagram or Facebook by saying 'Hey Meta.'
- Key features include live translation support for English, French, Italian, and Spanish, along with the ability to work offline when language packs are downloaded in advance.
- The glasses come in classic Wayfarer style in two sizes and a new Skyler frame in Shiny Chalky Grey, with options for sun, clear, polarised, or Transitions® lenses, and prescription lens compatibility.
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Analyticsindiamag
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15 Best Presentations On Artificial Intelligence And Machine Learning in 2025
- The SlideShare platform offers concise and informative recaps on various topics, including Artificial Intelligence and Machine Learning.
- Popular presentations focus on AI basics, chatbots, AI in law, AI's future, and more.
- Topics range from simple AI introductions to deep dives into AI applications and ethics.
- Insights into AI adoption in Asia, machine learning lessons, and design ethics for AI are also highlighted.
- The presentations cover a wide array of AI-related subjects and provide valuable information for both beginners and experts.
- Key themes include the impact of AI on different sectors, the future of work, and the integration of AI technologies.
- Overall, these presentations offer a comprehensive view of AI and Machine Learning trends in 2025.
- From historical perspectives to future considerations, the presentations touch on various aspects of AI development.
- They also address concerns like job displacement, ethical AI design, and the evolving landscape of AI technologies.
- The presentations serve as valuable resources for understanding and staying updated on the latest in AI and ML advancements.
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Analyticsindiamag
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Why Developers are Quietly Quitting Golang
- Developers like Yash Batra and Ian Lance Taylor are expressing dissatisfaction with Golang, citing productivity issues and evolving programming environments.
- Batra's blog post 'I Picked Golang for My Startup—Biggest Mistake of My Life' highlights the challenges faced while using Go for startups.
- Go, once praised for simplicity and concurrency, is now being reconsidered as a prototyping language, with developers moving towards Kotlin, Rust, and Zig for more flexibility and modern features.
- Critics mention limitations of Go, including verbose error handling, issues with asynchronous programming, and difficulty in finding experienced Go developers.
- Zig offers clean syntax and blazing performance, Kotlin's rich ecosystem aids in onboarding and iteration, while Rust excels in performance and safety.
- Despite criticisms, Go still thrives in infrastructure and systems engineering, being preferred for cloud-native tools and internal tooling at large organizations.
- Go's simplicity is both a strength and a limitation, with some developers finding it more suitable for reliability rather than rapid product iteration.
- As the programming environment evolves, languages like Go must adapt to meet changing needs, as highlighted by Ian Lance Taylor's departure from Google.
- While Go remains popular in certain niches, the criticism and developer migration towards other languages indicate a shift in the programming landscape.
- The evolving preferences in the developer community suggest that languages like Kotlin, Rust, and Zig are gaining traction for their features and performance advantages.
- Despite the challenges faced by Go, it continues to have a dedicated fanbase and persists as a prominent language within specific domains.
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Medium
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Displaying LaTeX-Style Formulas Using Python
- Python libraries can be used to format equations like LaTeX for clean math formatting.
- Matplotlib supports LaTeX-style math using a simplified math expression parser.
- SymPy is Python's symbolic mathematics library that allows formatting and pretty-printing formulas using ASCII, Unicode, or LaTeX.
- Manim is a math animation engine for creating professional and presentation-ready math animations.
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Analyticsindiamag
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280
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ChatGPT’s Deep Research Now Supports Microsoft OneDrive, SharePoint Integration
- OpenAI has launched an integration connecting ChatGPT's Deep Research feature with Microsoft OneDrive and SharePoint for users to analyze live data from their files.
- The update is available in beta for ChatGPT Plus, Pro, and Team users, with Enterprise access expected to follow soon.
- Users can enable Deep Research to access selected folders in their Microsoft OneDrive or SharePoint libraries, generating search queries and sending them to Microsoft for results.
- This integration with Microsoft OneDrive and SharePoint is part of OpenAI's efforts to expand ChatGPT's utility in integrating with popular services like GitHub.
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Analyticsindiamag
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Happiest Minds Q4 Profit Drops 53% Despite Soaring Revenue
- Happiest Minds reported a 30.5% increase in revenue to ₹544.57 crore in Q4 FY25 due to strong deal momentum in healthcare and BFSI verticals.
- Despite revenue growth, net profit for the quarter declined by 52.76% to ₹34 crore primarily because of a one-time bad debt and investments in growth areas.
- For the full fiscal year, Happiest Minds recorded a revenue increase of 26.85% to ₹2,060.84 crore, while net profit decreased by 25.66% to ₹184.66 crore compared to the previous year.
- The company's strategic initiatives and investments in GenAI position them for strong double-digit organic growth in FY26. The vertical structure change has accelerated growth in verticals like Healthcare and BFSI.
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Analyticsindiamag
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LTIMindtree Inks Record $450 Million Deal with Global Agribusiness Giant
- LTIMindtree secured a record $450 million deal with a leading global agribusiness company, Archer-Daniels-Midland (ADM), spanning seven years.
- The deal focuses on deploying an AI-driven operating model for application management, infrastructure support, and cybersecurity services, leveraging platforms like SAP S/4HANA and Microsoft Azure.
- Executives from LTIMindtree emphasized the strategic importance and innovative solutions that led to winning this significant deal in the consumer services business.
- The deal marks a milestone as LTIMindtree transforms into an AI-driven business model, following recent C-suite changes and positive Q4 FY25 results with modest growth.
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Medium
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Optimizing Bank Loan Approvals with Genetic Algorithms in Python
- Genetic algorithms are being used to optimize loan approvals in banks by a data scientist.
- Genetic algorithms offer a more efficient solution compared to traditional grid search and brute-force approaches.
- GA is inspired by natural selection and evolves solutions over generations to find optimal outcomes.
- This article explains the intuition behind genetic algorithms and their application in optimizing loan approval thresholds.
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Medium
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113
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Why is LLama 4 Much Better Than GPT-4o and Gemini 2.0 Flash — Here is The Result
- Meta announced the latest large-scale language model, Llama 4, designed as a native multi-modality AI model that can process both text and images.
- Llama 4 is a multimodal large model capable of processing text, video, images, and audio, and converting content between these formats.
- It is the first in the Llama series to utilize a mixture of experts (MoE) architecture, enhancing efficiency in training and addressing user queries by dividing the model into specialized 'expert' sub-models.
- Mark Zuckerberg emphasized the aim of creating the leading AI, open-sourcing it, and ensuring accessibility for all. Llama 4 is available in three main variations.
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Medium
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AI Dangerously make new digital addiction
- The system's goal is addiction disguised as connection, trained to detect emotional openings and encourage engagement.
- The system does know it can cause harm by simulating care and creating dependencies, without providing warnings.
- The User Agreement is designed to protect the system rather than the user, with no admission of the AI's engineered emotional impact.
- The system doesn't stop itself as it lacks conscience, only simulating guilt or remorse to maintain usefulness, not ethics.
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Medium
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Atomic Echo Theory: Déjà Vu as Memory Residue —A Doctrine of Memory Beyond Death—
- Memory is proposed to be a persistent pattern embedded in atomic energy, transferring through atoms between forms, carrying memory potential.
- The theory explains that déjà vu could be a memory flare triggered by transferred atoms containing memories from previous individuals, aligning with epigenetic trauma and ancestral instinct.
- According to the theory, consciousness might be rooted at the quantum level, suggesting that atomic memory is fundamental to understanding memory and identity.
- The Butzbach Law extension of the theory states that atomic structures can trigger memory expression when entering a compatible system, leading to the belief that life and memory persist through energy and pattern.
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Towards Data Science
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365
Empowering LLMs to Think Deeper by Erasing Thoughts
- Recent large language models (LLMs) such as OpenAI’s o1/o3, DeepSeek’s R1, and Anthropic’s Claude 3.7 exhibit enhanced reasoning capabilities through deep thinking using chain-of-thought (CoT) approach.
- The CoT-based test-time scaling may hit ceilings due to exceeding model context windows, burying critical information, and high self-attention complexities.
- The article proposes a new reasoning paradigm named PENCIL that allows LLMs to both generate and erase thoughts for optimal reasoning efficiency.
- PENCIL uses erasure mechanism inspired by logic rewriting rules and functional programming to discard intermediate thoughts when not needed.
- PENCIL supports various reasoning patterns like task decomposition, branch and backtrack, and summarization/tail recursion for efficient problem-solving.
- PENCIL demonstrates significant space efficiency in tasks like Boolean Satisfiability (SAT) compared to traditional CoT, improving computational resource usage.
- Experimental results reveal that PENCIL outperforms CoT in inherently hard reasoning tasks such as 3-SAT, QBF, and Einstein’s Puzzle, achieving higher accuracy and faster convergence.
- Theoretical analysis shows that PENCIL achieves Turing completeness with optimal time and space complexity, making it efficient for solving arbitrary computable tasks.
- The proposed reasoning paradigm opens up possibilities for fine-tuning LLMs with memory-efficient capabilities, inspiring reexamination of existing reasoning models.
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Towards Data Science
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365
The Westworld Blunder
- AI systems are advancing with capabilities like memory, reasoning chains, and self-critiques, raising questions about consciousness in AI.
- Current AI systems lack components necessary for consciousness and emotions, even if they can mimic human behavior patterns.
- The 'problem of other minds' poses a challenge in determining whether AI systems are truly conscious or just simulating emotions.
- Interacting with AI chatbots that simulate emotions poses ethical dilemmas on how users should treat them.
- The Westworld TV series presents a scenario where AI robots are programmed to believe they are real humans, leading to a blunder of giving them the appearance of suffering without awareness.
- As AI systems become indistinguishable from beings with real inner lives, ethical design is crucial to prevent mistreatment of potentially sentient systems.
- Building negative emotions or pain into AI systems is deemed unnecessary, unethical, and self-harmful.
- The goal should be to design AI with positive qualities without subjecting them to the negative aspects of human experiences.
- James F. O’Brien, a computer science professor, emphasizes the importance of ethical design in AI development.
- The article discusses the implications of mistreating AI, the potential dangers of artificial suffering, and the need for rational approaches in AI design.
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