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This Startup Launches GPU-Free Gen AI Platform to Democratise AI Adoption

  • Bud Ecosystem's GenAI research startup launches Bud Runtime, a GPU-free solution for generative AI deployment on CPU-based infrastructure.
  • Bud Runtime enables organisations to deploy AI models using existing hardware, bypassing expensive GPUs and supporting CPU inference alongside other hardware accelerators.
  • The platform offers heterogeneous cluster parallelism for deploying AI workloads across mixed hardware environments, addressing scalability and GPU supply constraints.
  • With Bud Runtime, companies can kickstart generative AI initiatives for as little as $200 per month, making it accessible for startups and research institutions.

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Now, Agentic AI-Powered TCS MasterCraft to Speed Up Legacy Modernisation

  • Tata Consultancy Services (TCS) has upgraded its flagship product, TCS MasterCraft, with generative AI (GenAI) and agentic AI to accelerate legacy system modernization.
  • The enhanced TCS MasterCraft aims to reduce modernization costs by over 70% and deliver results twice as fast compared to traditional methods by automating the process of updating legacy applications.
  • The AI-augmented TCS MasterCraft has already shown success, with a North American bank achieving 2x productivity gains and 3x faster delivery during mainframe modernization.
  • With GenAI and agentic AI capabilities, TCS MasterCraft features an intelligent automation engine and goal-oriented agents to address modernization challenges and ensure resilient systems for future technological shifts.

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IBM Unveils Hybrid AI Tools to Help Enterprises Scale with Speed

  • IBM unveiled a suite of hybrid AI technologies at its annual Think conference to help enterprises deploy generative AI agents quickly.
  • The tools allow companies to build agents in minutes, integrate them across over 80 applications, and scale operations on platforms capable of 450 billion daily inference operations.
  • IBM's offerings include pre-built domain agents for HR, sales, and procurement, custom agent building tools, integration with major enterprise systems, and enhancements in data management.
  • The company also introduced IBM LinuxONE Emperor 5, designed for AI at scale, with AI accelerators, quantum-safe encryption, and cost savings compared to x86 systems.

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Medium

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The power of ‘almost right’: Delivering a leader-ready MVP in under 12 hours

  • Testing 'good-enough' model for real value across three dimensions.
  • Consider deeper tuning when a faster, simpler model isn't always the best option.
  • Integration issue faced due to one-hot encoding heroes, requiring regeneration of JSON mapping for the model inputs.
  • An under 12-hour project, DraftDoom, demonstrates the power of delivering a leader-ready MVP quickly and refining it over time.

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Redis Doesn’t Want Developers to Hate it Anymore

  • Redis, the high-performance in-memory data store, has returned to open source under the AGPLv3 license after facing backlash for more restrictive licensing.
  • The release of Redis 8 coincides with this move, offering enhanced features for AI applications with better performance metrics compared to previous versions.
  • The licensing shift in 2024 led to the fragmentation of the Redis ecosystem, with multiple forks emerging due to community discontent over perceived corporate overreach.
  • Efforts to regain developer trust include Redis' return to open source, but skepticism remains prominent within the developer community despite recent developments.

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Medium

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TallyCalculus 2.0: Outsmarting Impersonators

  • TallyCalculus is an assessment platform by TEPL designed for Tally certification and exam preparation, featuring tools like Question Bank Management and on-screen calculators.
  • The platform includes proctoring tools to ensure exam integrity, monitoring candidates through webcam feeds, screen activity, and audio analysis.
  • Challenges like false positives due to environmental noise led to the implementation of smart thresholds and machine learning models in TallyCalculus.
  • Identity verification was improved with face comparison and liveliness detection to prevent impersonation risks during exams.
  • A progressive face comparison approach was introduced, capturing fresh images at the start of exams to reduce false positives.
  • Technologies like TensorFlow and OpenCV were utilized for face comparison and liveliness detection, optimizing the in-house proctoring service.
  • Privacy concerns were addressed by keeping all exam data within the infrastructure, avoiding external processing in cloud-based solutions.
  • TallyCalculus stands out for its cost efficiency, data privacy, and customization compared to cloud proctoring services.
  • While the system excels in identity verification, there are ongoing improvements needed for low light conditions and liveliness detection.
  • Overall, the new proctoring enhancements have made TallyCalculus more efficient and cost-effective while maintaining exam integrity.

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Dev

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Stop Over-Looping: A Practical Primer on the Two-Pointer Technique

  • The Two-Pointer technique helps in achieving linear-time speed-ups without complex data structures or extra memory.
  • It provides a fast and production-ready solution to optimizing code that currently relies on O(n²) loops.
  • By using Two Pointers approach, the time complexity can be reduced to O(n) after sorting (if required), without compromising on space efficiency (O(1)).
  • Implementing Two Pointers can significantly improve code efficiency, making it faster, cleaner, and more scalable.

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Analyticsindiamag

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‘Are Humans Writing Their Own Obituary by Building AI?’

  • The rise of AI has sparked excitement, fear, and predictions about software development, with discussions on the impact on coders and decision-making between machines and humans.
  • AI is viewed as augmenting human capabilities rather than replacing them, with the importance of human input emphasized during the Great International Developer Summit.
  • The concept of Life 1.0, 2.0, and 3.0 categorizes organisms based on their ability to adapt and evolve their software and hardware, with humans currently at Life 2.0 stage.
  • Experts like Perwez Khan and Mehul Gupta stress the evolving role of engineers in the age of AI, highlighting the need for human input in software development to navigate ethics, make critical decisions, and lead responsibly.

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Medium

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What Are Apps You Use Really Collecting About You? Is it Necessary?

  • Popular apps are silently collecting a lot of personal data beyond what users realize, including location, contact lists, microphone and camera access, clipboard snooping, app usage patterns, and device data.
  • Some popular Indian apps like Truecaller, ShareChat, Moj, MX Player, and finance apps have faced scrutiny over invasive data collection practices, triggering warnings and investigations.
  • Steps to stay safer include reviewing permissions regularly, turning off unnecessary background access, avoiding social logins when not necessary, and being cautious with apps lacking transparency or a privacy policy.

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Analyticsindiamag

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Pinterest Upgrades Visual Search With AI

  • Pinterest has launched new AI-powered visual search features for fashion content in the US, Canada, and the UK.
  • Users can now search, shop, and refine fashion content using images instead of keywords.
  • The new tools enable users to identify specific elements in images and shop for similar items.
  • The update, powered by generative AI, aims to provide a more personalized and intuitive discovery experience for users.

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Databricks in Talks to Acquire Database Startup Neon for $1 Billion

  • Databricks is in talks to acquire San Francisco-based database startup Neon for around $1 billion.
  • Neon's cloud database service is designed for AI agents and applications to handle multi-step tasks efficiently.
  • Neon offers cost-effective options for customers using AI agents in businesses, allowing payment for short database usage periods.
  • The potential acquisition of Neon by Databricks would enhance its infrastructure layer and provide a contemporary, AI-focused transactional database.

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Analyticsindiamag

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Why You Should Not Miss AWS Summit Bengaluru 2025

  • AWS Summit Bengaluru 2025 is a must-attend event for technologists and business leaders happening on May 7 & 8 at KTPO Exhibition Center, Whitefield.
  • The summit offers insights, hands-on experiences, and learning opportunities for startups, enterprises, and those interested in generative AI.
  • The event focuses on cloud, AI, and innovation, showcasing India's role in driving global digital transformation through AWS.
  • Speakers at the event will discuss responsible AI, fintech infrastructure, real-time payments, and building for developers in an API-first world.

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Towards Data Science

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Benchmarking Tabular Reinforcement Learning Algorithms

  • The article explores benchmarking tabular reinforcement learning algorithms based on the seminal book by Sutton and Barto, focusing on Dynamic Programming, Monte Carlo methods, Temporal Difference Learning, and Model-Based RL/Planning.
  • The benchmarking framework involves evaluating algorithms on increasingly larger Gridworld environments to compare their efficiency and effectiveness in solving tasks.
  • Key algorithms like Q-learning, value iteration, Sarsa, and Dyna-Q are discussed and benchmarked on Gridworlds up to size 50x50.
  • Results indicate that Value Iteration outperforms other methods, followed by On-policy MC, Dyna-Q, Q-learning, and Sarsa-n in the context of simple, fully-known, and deterministic environments.
  • Performance rankings show On-policy MC as the best model-free algorithm, while Dyna-Q blends model-based planning with model-free learning for improved results.
  • The article discusses the trade-off between efficiency and generality in reinforcement learning algorithms, with future plans to benchmark in more challenging environments and explore function approximation in Part II of Sutton's book.
  • The detailed experiments, rankings, and discussions offer insights into the performance of tabular RL algorithms, showcasing the strengths and limitations of each method.

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Remidio’s AI Tools for Glaucoma, AMD Get CDSCO Approval

  • Remidio Innovative Solutions has obtained CDSCO approval for its AI-based tools to detect glaucoma and AMD, following the success of their diabetic retinopathy tool.
  • The new glaucoma and AMD tools are designed to work offline, making them suitable for use in remote areas with limited access to eye care specialists.
  • Medios HI Glaucoma AI detects early signs of glaucoma using heat maps, addressing the issue of underdiagnosis in India where over 90% of glaucoma cases remain undetected.
  • The AI tools have been tested in real hospitals and integrated into Remidio's portable eye camera device, enabling quick and accurate detection of glaucoma, AMD, and diabetic retinopathy.

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Salesforce Targets 50% AI-Generated Code by End of 2025

  • Salesforce aims for 50% of code to be AI-generated by end of 2025, in line with tech giants like Microsoft and Google.
  • AI already creates about a third of Salesforce's code, leading to 30% productivity gains and faster bug detection.
  • Salesforce CEO Marc Benioff announced a freeze on software engineer hiring due to AI-driven automation.
  • AI usage spans development stages, from code writing to deployment monitoring and incident reporting.
  • Salesforce focuses on AI products and internal AI use, including Agentforce for autonomous agents and Data Cloud for data integration and unified customer profiles.
  • Salesforce's Data Cloud reached $900 million in annual recurring revenue and facilitates personalised responses based on structured and unstructured data.
  • Salesforce experiments with Model Context Protocol, Heroku, and Agent2Agent protocol with Google for customized API interactions.
  • Salesforce compares AI agents' impact to early cloud computing days, anticipating up to 10 times more productivity and job creation.

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