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How to Crack IIT JAM Mathematics in First Attempt

Choose the Right Study Material: Select appropriate books and resources, including online materials and video lectures.
Create a Study Plan: Design a well-structured schedule to cover all topics effectively.
Solve Previous Year Papers and Take Mock Tests: Practice papers and mock tests to understand the exam pattern and improve speed and accuracy.
Focus on Conceptual Clarity and Problem-Solving: Emphasize understanding concepts, rather than memorizing formulas, and solve problems from different topics.

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Medium

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From Python to Go: How I Reduced API Latency by 70% in My Microservice

Microservices power most of today’s modern applications, but as systems scale, performance becomes a bottleneck.
Migrating a critical microservice from Python to Go resulted in a 70% reduction in API latency, significantly improving system efficiency.
The switch was driven by Python's inability to handle the performance demands of a high-throughput microservice handling thousands of concurrent requests.
This article provides a step-by-step guide on migrating a Python microservice to Go and showcases real-world performance improvements after the migration.

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Tech Radar

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Microsoft adds Copilot AI features to Windows 11's Photos app - and I actually don't hate them

Microsoft has added new AI-powered features to the Windows Photos app, including Copilot support.
The new features include Enhanced Optical Character Recognition (OCR) with Web Search Integration and a 'Search in Web' button.
The update also introduces a quick-access drop-down menu for more advanced editing options and shortcuts in File Explorer.
The new features are being released gradually to Windows Insider users and are expected to roll out in the coming weeks.

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Medium

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Generative AI in SaaS Development: Powering Next-Generation Enterprise Applications

Generative AI is revolutionizing SaaS development by shifting traditional models to intelligent, self-optimizing systems that enhance automation and personalization.
SaaS has transitioned from on-premise to cloud-based solutions, offering scalability, continuous updates, and cost-effectiveness, with generative AI now critical for competitive advantage.
Generative AI in SaaS applications automates tasks, boosts personalization, and aids real-time decision-making, with a projected high adoption rate by 2025.
Improved operational efficiency and user experiences are seen when firms integrate generative AI into SaaS, optimizing code generation and testing processes.
By leveraging AI-driven SaaS platforms, businesses witness enhanced user experiences, dynamic content generation, improved customer satisfaction, and reduced operational risks.
Generative AI integration in SaaS boosts predictive analytics, facilitates compliance with regulations, enhances cybersecurity, and drives personalized marketing campaigns.
The integration of generative AI empowers businesses to scale operations seamlessly, adapt to dynamic user demands, and drive innovation in a competitive market landscape.
AI-powered SaaS platforms revolutionize customer support, marketing, finance operations, and healthcare delivery, leading to enhanced efficiency and improved outcomes.
Challenges in generative AI integration include data privacy, legacy system compatibility, and ethical considerations, necessitating strategic partnerships and workforce upskilling.
The future of SaaS development is user-centric, emphasizing personalization, customization, and seamless integration of AI technologies across ecosystems.

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Knowridge

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Scientists create shape-shifting smartphone screen that also speaks

South Korean scientists from POSTECH have developed the world's first OLED panel that can change its shape and work as a speaker.
The technology uses a thin, flexible material called a piezoelectric polymer actuator to enable the screen to bend into various shapes and produce sound.
Unlike current flexible screens, this innovation eliminates the need for additional hardware like hinges or motors, making devices lighter and more versatile.
This breakthrough could lead to the development of smartphones, wearables, and soft robots with shape-shifting screens and built-in sound capabilities.

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Tech Radar

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Windows 11’s Game Bar gets a fresh coat of paint, plus a tweak to work better on handhelds – and I like the direction Microsoft’s heading in here

Microsoft updates Game Bar on Windows 11 with new design and controller improvements.
The Game Bar has been given a graphical makeover and multiple widgets have new designs.
Improved navigation with a controller in the Game Bar Widget Store provides a better experience in Compact Mode.
These updates aim to enhance the appearance and functionality of the Game Bar, aligning with Microsoft's efforts for gaming handhelds on Windows 11.

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Dev

176

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The Technical Architecture Powering RandomChat

RandomChat's technical architecture facilitates thousands of 1v1 video and text chat sessions worldwide with a focus on scalability and security.
Built on WebRTC, RandomChat enables direct peer-to-peer communication for high-quality, low-latency video streaming without external software requirements.
The platform uses STUN and TURN servers for NAT traversal, ensuring connectivity across various network configurations.
WebSockets manage signaling and messaging efficiently, enabling real-time communication during chat sessions with minimal latency.
RandomChat employs SFUs for media routing and scaling, while also utilizing Docker and Kubernetes for automatic horizontal scaling.
End-to-end encryption ensures the security of communication, and data is not stored on servers, enhancing privacy protection.
The frontend design prioritizes performance and cross-platform compatibility, adapting seamlessly to different devices without the need for a native app.
Session management algorithms and load balancing optimize matchmaking and connection speeds for users on RandomChat.
DevOps tools like Prometheus and Grafana monitor server health and performance in real time, ensuring reliability and quick issue resolution.
RandomChat's technical ecosystem supports a global, real-time chat experience, emphasizing low latency, privacy, and seamless connectivity.

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Dev

339

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My Journey from Web2 Data Analytics to Web3 On-Chain Analysis

A data analyst with experience in web2 analytics shares their journey transitioning to web3 on-chain analysis.
The switch to on-chain analysis is driven by the recognition of real opportunities in the web3 space.
The decentralization and unpredictability of blockchain data present new challenges and learning curves for the analyst.
The focus now is on landing a web3 job and exploring different blockchain projects.

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Scand

326

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How to Build an Enterprise-Ready AI Model: A Step-by-Step Guide

Many businesses fail within the first few years due to various challenges like inflation, taxes, poor sales, labor costs, high competition, and government regulations.
Even large corporations face similar challenges and are turning to artificial intelligence (AI) to streamline operations and stay competitive.
AI technologies market is projected to grow significantly from $244 billion in 2025 to over $800 billion by 2030.
Benefits of AI in enterprises include revenue improvement, task automation, better decision-making, customer service enhancement, fraud detection, and more.
Building a custom AI model allows for tailored solutions, data control, compliance, uniqueness, and competitive advantage.
Key steps to build a high-performance AI model for enterprises include clarifying the problem, gathering and cleaning data, partnering with an AI development company, deploying the model, and monitoring for improvements.
Challenges in building AI models for enterprises include talent shortage, data security, privacy concerns, and integration with existing systems.
Embedding AI models in enterprise systems requires expandable infrastructure, regular monitoring, collaboration between business and IT teams, and a continuous improvement process.
Partnering with experienced AI development teams can accelerate the process, reduce costs, and enhance model accuracy while ensuring data security and compliance with regulations.
SCAND offers locally run AI models like LLama, StarCoder, and DeepSeek-R1 to maintain data privacy and security for customers using AI.

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Beyondkey

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All You Need to Know About Automated Data Capture

Automated data capture involves turning information from documents into structured data for computer use, offering faster and more accurate processing than manual methods.
Manual data capture requires human entry, which is prone to errors and time-consuming, while automated data capture uses tools like OCR for efficient data extraction.
Benefits of automated data capture include speed, accuracy, cloud storage, and compatibility with other tools like Databricks for data analysis.
OCR data capture technology scans documents, images, and PDFs to extract editable text, aiding various industries in automating data extraction.
Automated OCR enhances efficiency, accuracy, compliance, cost savings, and employee satisfaction, catering to sectors like insurance, banking, HR, and accounting.
Considerations for selecting data capture solutions include user-friendliness, accuracy, automatic data validation, cost-effectiveness, and compliance with data security regulations.
Automated data capture aids in data security by using encryption and access controls to prevent breaches, while ensuring data accuracy through regular quality checks.
OCR services convert scanned documents, PDFs, and images into editable data, eliminating manual processes and streamlining data access.
OCR technology automates data processing, improving workflow efficiency and enabling better decision-making by extracting and structuring data from documents and forms.
Tools like Azure Form Recognizer and AWS Textract leverage AI and machine learning to enhance data extraction speed and accuracy, benefiting businesses across various sectors.

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Codecondo

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Does Health Insurance Cover Cataract Surgery?

Many health plans include cataract surgery as part of their coverage.
The waiting period for cataract surgery under health insurance is generally 2 years.
Cataract surgery types in India include Phacoemulsification, ECCE, Intracapsular Cataract Surgery, and FLACS.
Opting for health insurance for cataract surgery can help protect against high medical expenses.

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Educba

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APIs in Web and Mobile Development

APIs play a crucial role in ensuring seamless integration between web and mobile applications, allowing for efficient data exchange and collaboration.
There are various types of APIs in web and mobile development, including Web APIs (REST and SOAP), Public APIs, Private APIs, Partner APIs, and GraphQL APIs.
APIs enrich application features, enhance development productivity, enable cross-platform compatibility, improve user experience, and facilitate microservices architecture.
Benefits of using APIs include improved scalability, enhanced security, seamless third-party integrations, faster development and deployment, and reduced maintenance work.
Best practices in API development include following RESTful design principles, ensuring security measures, optimizing performance, providing comprehensive documentation, versioning APIs, and proper error handling.
Future trends in API development include API-First Development, GraphQL adoption, AI-Powered APIs, and Serverless APIs.
APIs continue to shape the future of software development, enabling integration, scalability, and enhanced user experiences in modern applications.
By implementing best practices and exploring new API technologies, developers can create efficient, secure, and high-performance applications that meet evolving user expectations.
APIs will remain essential for innovation and digital transformation across various sectors as technology advances.
In conclusion, APIs are crucial for modern web and mobile development, empowering developers to build cutting-edge applications that cater to the evolving needs of users.
Recommended articles on API integration and development include Geocode API Integration, API Fax Services, and Payment System With FastAPI.

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Swiggy

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Enhancing Brand Visibility and Trust with On device ML models: A Journey at Swiggy

At Swiggy, trust is crucial for customer loyalty and brand success, focusing on creating seamless experiences from order to delivery.
Enhancing brand visibility through branded gear for delivery partners was a key strategy to reinforce trust and professionalism.
Using on-device machine learning (ML) models, Swiggy tackled the challenge of detecting Swiggy-branded gear on delivery executives in real-time.
Server-side solutions posed challenges like high latency and real-time constraints, leading Swiggy to explore on-device solutions for faster feedback.
Initially, a color detector approach was taken, but later, leveraging TensorFlow Lite Model Maker proved to be a more scalable and efficient solution.
Training a MobileNet model and optimizing it for edge devices helped in achieving real-time gear detection with high accuracy and low latency.
The on-device model had a latency of around 150ms, seamless integration with Vision Camera library, and optimizations for battery and CPU efficiency.
The production rollout included system implementations for compliance checks and data gathering, leading to widespread adoption and positive impacts on latency and stability.
Key takeaways included the power of edge ML for real-time solutions, the importance of optimization for performance enhancements, and the potential of on-device models for various use cases.
Overall, integrating on-device ML models enhanced brand visibility, professionalism, and trust at Swiggy, ensuring a smoother experience for delivery partners and customers.

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TheNewsCrypto

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DeXe DAO Studio Unveils Major Update, Enhancing Global DAO Management

DeXe DAO Studio, based on DeXe Protocol, has released a new version to improve DAO creation and management.
DeXe Protocol is becoming a key part of DAO infrastructure with a TVL of over $1.5 billion and new strategic alliances forming.
The updated DeXe DAO Studio offers a unified and streamlined experience for planning, fundraising, and expanding DAOs.
Notable enhancements include a simplified interface, real-time analytics dashboard, multi-chain compatibility, and integrated governance staking.

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Medium

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