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Data Science News
Medium
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Beyond Basic Bots: A Guide to Streamlit, LangGraph & Tavily on Hugging Face
- The article discusses the use of Streamlit, LangGraph, and Tavily on Hugging Face for building advanced chatbots.
- The components, including UI configuration and graph-based workflow, are designed to be flexible and easily extendable.
- Tavily Search is introduced as a smart search engine for AI programs and chatbots, providing real-time and reliable internet searches.
- The article also mentions the use of agentic retrieval-augmented generation (RAG) to make chatbots smarter by accessing real-time information.
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Medium
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346
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Vibe Coding | When the Code Writes Itself, What’s Left for Us?
- Vibe coding, popularized by Andrej Karpathy, refers to a new way of software development where AI models generate code based on natural language.
- Code is generated through natural language descriptions instead of manual typing, marking a shift in the software development landscape.
- Developers are now tasked with understanding systems and troubleshooting, moving beyond simply writing code.
- The value of a developer has shifted from typing solutions to shaping systems and thinking critically.
- AI's ability to generate solutions increases the importance of developers understanding how the solutions integrate into real systems.
- AI's evolution, as seen in examples like AlphaGo Zero, shows its capability to think and learn in ways independent of human review.
- Engineers are now required to focus on judgment, discernment, and product thinking rather than basic technical tasks.
- The future of engineering lies in understanding purpose, reducing friction in users' lives, and applying taste and judgment to software creation.
- Developers now need to cultivate taste, experience, and intuition to ensure software not only works but is elegantly crafted and user-friendly.
- In the age of AI, developers play a crucial role as sense-makers, filtering noise, shaping vision, and finding meaning in software creation.
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Medium
2w
125
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Support Vector Machine (SVM) In SHORT
- Support Vectors: These are the points that are closest to the hyperplane. A separating line will be defined with the help of these data points.
- Margin: It is the distance between the hyperplane and the observations closest to the hyperplane (support vectors). In SVM large margin is considered a good margin. There are two types of margins: hard margin and soft margin.
- Hyperplanes are decision boundaries that help classify the data points. Data points falling on either side of the hyperplane can be attributed to different classes. Also, the dimension of the hyperplane depends upon the number of features.
- If the number of input features is 2, then the hyperplane is just a line. If the number of input features is 3, then the hyperplane becomes a two-dimensional plane. It becomes difficult to imagine when the number of features exceeds 3.
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Analyticsindiamag
2w
295
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2025 Could Be the Year Humanoid Robots Enter Your Home
- The next wave of AI involves physical AI- intelligent machines interacting with the real world, as per NVIDIA's GTC 2025.
- NVIDIA is heavily involved in physical AI and robotics, introducing Isaac GR00T N1 for humanoid robots and open-source innovations like Newton and more.
- Boston Dynamics, through partnerships, demonstrated advancements in agility and dexterity for humanoid robots like Atlas using reinforcement learning.
- Apptronik showcased Apollo, a general-purpose humanoid robot, with collaborations aiding industrial and space applications.
- Figure AI's humanoid robot, Figure 02, learned to balance and walk naturally, while introducing Helix for complex tasks using natural language.
- Agility Robotics' Digit, designed for warehouse automation, showcased new RL-based controllers and expanded partnership with NVIDIA.
- China is also making strides in physical AI, with UBTECH Robotics and Unitree Robotics leading in humanoid platforms and multi-robot collaborations.
- Unitree Robotics' G1 robot has excelled in mobility, dexterity, dynamic tasks like running, jumping, and even dancing, driven by imitation and reinforcement learning.
- Companies like 1X Technologies and Figure AI are pushing the boundaries with humanoid robots for home assistance and industrial applications.
- AI-powered humanoid robots are expected to integrate into everyday life with advancements in agility, dexterity, and natural language processing.
- The future of humanoid robots in 2025 looks promising, with innovations in robotics, automation, and AI reshaping industries and societal norms.
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Analyticsindiamag
2w
415
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Taiwan’s Chipmaker UMC Denies Reports of Merger with GlobalFoundries
- Taiwan's second-largest chipmaker, UMC, denies reports of a potential merger with US-based contract semiconductor manufacturer, GlobalFoundries.
- The merger aimed to strengthen America's semiconductor supply chain and secure access to mature chips.
- A merged entity could have become an alternative to leading chipmaker TSMC and prioritize research and development investments in the US.
- Any potential deal would likely face regulatory scrutiny from Taiwan and China.
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Analyticsindiamag
2w
203
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Google Slides Now Adds Image Generation Capabilities With Imagen 3
- Google Workspace has announced that Google Slides will now use Imagen 3 for text-to-image generation.
- With Imagen 3, users can generate highly detailed, realistic images in Google Slides, Gmail, Docs, Sheets, and more.
- Google Slides introduces new features like 'building blocks' for adding pre-formatted structures and new templates.
- Updates also include the ability to embed video feeds, record presentations, and access a wider selection of media.
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Analyticsindiamag
2w
333
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Is India Truly Ready for Autonomous Vehicles?
- The autonomous vehicle market in India is growing steadily with contributions from established companies like Mahindra and Tata Motors, along with startups like Minus Zero, Swaayatt Robots, and Flux Auto.
- India is focusing on boosting startups and domestic inventions to reduce reliance on foreign technology amidst increasing US tariffs.
- Challenges hindering India's progress in AVs include cybersecurity threats, infrastructure deficiencies, and regulatory uncertainties.
- India faces obstacles like poor road maintenance, lack of intelligent traffic systems, and erratic internet connectivity impacting AV readiness.
- Traffic laws designed for conventional vehicles are not suitable for autonomous systems, lacking structured testing and liability guidelines.
- Startups like Minus Zero are concentrating on vision-based AV systems tailored for India's unpredictable roads with challenges like pedestrians and lack of lane discipline.
- Giant companies like Mahindra and Tata are also entering the AV market, developing their own models and focusing on autonomous and electric vehicles.
- Significant regulatory and infrastructure barriers stand in the way of India's driverless vehicle aspirations, including the need for updated traffic regulations and better road conditions.
- India needs to address cybersecurity concerns, improve road infrastructure, and update its traffic regulations for successful adoption of AV technology.
- While India faces challenges, global AV leaders are making progress, urging India to keep up to compete effectively in the autonomous vehicles market.
- The development of autonomous vehicles by Indian companies poses a challenge for foreign players wanting to enter the Indian market due to high import taxes and India's drive for independence.
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Analyticsindiamag
2w
308
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AMD Acquires AI Infrastructure Firm ZT Systems for $4.9 Billion
- AMD has completed the acquisition of ZT Systems for $4.9 billion.
- The acquisition will accelerate the design and deployment of AMD-powered AI infrastructure at scale.
- ZT Systems is a key partner to major firms like Microsoft and Meta.
- AMD's data centre segment revenue grew by 69% year-over-year to $3.9 billion.
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Medium
2w
99
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Best Data Science with Generative Ai Course Hyderabad
- Data Science with Generative AI Course in Hyderabad integrates the evolving field of Data Science with advanced capabilities of Generative AI.
- The course covers fundamentals of Data Science, programming languages, deep learning, neural networks, NLP, cloud computing, ethical AI, and creative problem-solving.
- Professionals gain skills in statistical analysis, machine learning, big data processing, synthetic data generation, model automation, and problem-solving through the course.
- The course prepares individuals to harness the power of Generative AI and apply it to real-world challenges in technology and business.
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Analyticsindiamag
2w
168
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California Chip Startup Retym Raises $75M to Build Chips for AI Data Centres
- California chip startup Retym has raised $75 million in a Series D funding round led by Spark Capital.
- Retym plans to develop programmable coherent digital signal processing (DSP) chips for AI and cloud infrastructure.
- The company's first chip is expected to be launched later this year, challenging Marvell Technology's dominance in the DSP market.
- Retym's technology is crucial for AI data centres, where the efficient handling of large AI models is a requirement.
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Analyticsindiamag
2w
177
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Andhra Pradesh Prepares to Set up ‘Quantum Valley’ Project in Amaravati
- Andhra Pradesh is setting up a Quantum Valley project in Amaravati.
- The initiative aims to advance quantum computing and deep tech.
- The project aims to attract top researchers and global investments in the field of quantum computing.
- Key partners for the project include IIT Madras, TCS, and IBM.
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Medium
2w
269
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Understanding Image Annotation Formats for Object Detection
- Different image annotation formats are crucial for computer vision projects.
- Understanding the formats saves time and improves workflow.
- Formats like .txt, .xml, .json, and .csv are commonly used.
- YOLO uses a simple .txt format for annotations.
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Medium
2w
354
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Bridging the Gap Between Data Science and Project Management: Leveraging Analytics for Smarter…
- Data science can serve as a powerful tool for project managers to predict bottlenecks, resource needs, and solutions before issues arise.
- The article explores the importance of bridging the gap between data science and project management for enhanced project success.
- Data analytics can help project managers in various ways, such as flagging bottlenecks in timelines and optimizing resource utilization.
- Organizations incorporating data and analytics into decision-making processes are more likely to outperform competitors in project delivery.
- Implementing analytics tools can lead to faster feature rollouts and increased customer satisfaction, as seen in the case of BMW.
- Collaboration between data teams and project managers is essential to turn raw data into actionable insights.
- Barriers like misaligned priorities, communication issues, and working in silos hinder effective collaboration between data teams and project managers.
- The knowledge gap between project managers and data teams can be bridged through cross-training and improved understanding of business priorities.
- Project managers play a crucial role in unlocking the power of analytics for smarter decision-making and project execution.
- By fostering collaboration and building trust between business and data teams, project managers can drive better outcomes by translating between data and delivery.
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Medium
2w
372
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How I Decided to Figure Out Which Technologies Are Popular Today, and Ended Up Creating GitHub…
- The author decides to compare the popularity of technologies and creates a tool for analyzing trends on GitHub.
- Using Google Trends and other sources, the author finds limitations in assessing technology popularity.
- The author conducts manual analysis of cross-platform RPC frameworks on GitHub to compare their popularity.
- The author introduces the concept of Hirsch index to measure the popularity of technologies and frameworks on GitHub.
- The author proposes Star H-Index and Fork H-Index to assess visibility and community participation of projects.
- A web application called GitHub Trend Analyzer is created by the author to automate the analysis process.
- The analysis using the tool shows gRPC as the leader in popularity among RPC technologies on GitHub.
- The tool also reveals trends in the popularity of technologies over time, with gRPC showing rapid growth.
- SOAP's stability in popularity might be attributed to its usage in educational projects on GitHub.
- The GitHub Trend Analyzer allows for trend analysis of various technologies and frameworks on GitHub.
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Medium
2w
272
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SQL for Fraud Detection: Spotting Suspicious Patterns Like a Pro! ️♂️
- This query will return any transactions that exceed $10,000.
- This query will help you find users who made more than 5 transactions in a single day.
- This query helps identify transactions made in locations the user hasn’t visited in the last 30 days.
- This query helps identify cases where different users made the same transaction amount within 1 day of each other.
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