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Why Everyone is Talking About Rust (And Should You Learn It?)

Rust is a systems programming language created by Mozilla Research in 2010 to make low-level programming safer and faster.
Rust offers memory safety without garbage collection, concurrency by design, and expressive syntax with strong tooling.
Rust combines the speed of C/C++, the safety of high-level languages, and modern ecosystem and tooling for developers.
Real-world use cases include the Linux kernel, cloud services, web browsers, and command-line tools that leverage Rust.
Learning Rust is recommended for those who prioritize performance, scalability, and future-proofing their skills.
To get started with Rust, users can install Rust using rustup, study 'The Rust Programming Language' book, and build small CLI tools.
Rust's focus on correctness can benefit programmers in any language, improving their skills.
Rust is backed by a growing ecosystem and suits systems programmers, web developers, and code enthusiasts.
Rust's emphasis on safety, speed, and concurrency makes it a worthwhile investment for long-term skill development.

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Why Apple and Meta Are Ready to Throw Billions on This IIT Madras Graduate’s AI Startup

Tech companies like Apple and Meta are actively looking to acquire promising AI startups to stay competitive in the industry.
Apple is eyeing Perplexity AI, founded by IIT Madras graduate Aravind Srinivas, which specializes in AI-powered search engine and chatbot platform.
Meta considered acquiring Perplexity AI and Thinking Machine Labs before investing in Scale AI to strengthen its AI division.
The acquisitions are crucial for acquiring technology and talent in the fiercely competitive AI landscape.
AI talent is in high demand, leading big tech companies to offer competitive compensation packages to attract top talent.
Both Apple and Meta have faced setbacks in their AI strategies, prompting them to make strategic acquisitions to bolster their AI capabilities.
Notably, startups like Thinking Machines Lab and Safe Superintelligence have high valuations based on the reputation and talent of their founders.
Perplexity AI, despite not building its own cutting-edge models, focuses on multi-model architecture and innovative products, such as its agentic browser, Comet.
These acquisitions signify the urgency for tech giants to stay at the forefront of AI innovation by tapping into the expertise and momentum of startups.
The strategic moves by Apple and Meta reflect the industry trend where owning the right startup can be a game-changer in the race for AI leadership.

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Mastering Univariate Time Series Forecasting: Build a RF-LSTM Fusion Model with Real-World Cases &…

The fusion model of Random Forest and LSTM solves the problem of time series prediction, forecasting future trends based on historical data like temperature or stock prices.
The fusion model integrates features from lagged time series data to capture historical effects and uses LSTM to learn long-term dependencies in data sequences.
After predicting with Random Forest and LSTM, the fusion model averages the results to improve stability and accuracy of the predictions.
A visualization compares the true values with predictions from Random Forest, LSTM, and the fusion model, showing the fusion model's smoother trend.
A Mean Squared Error (MSE) Bar Chart illustrates that the fusion model has the smallest prediction errors, indicating its superiority over the other models.
An Error Distribution Diagram helps compare the error concentration and skewness of prediction errors between the models, with a closer-to-zero distribution indicating more stability.

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Adobe Brings AI Features for Performance Marketing

Adobe expands its content platform, GenStudio, with AI-enabled features for ad campaigns and performance marketing.
The new 'Video ad creation' feature allows businesses to automatically reformat videos for different ad formats.
AI-generated images for display ads and marketing emails are now available in beta, promoting brand consistency.
Adobe GenStudio integrates Workfront for streamlined review and asset approval processes.
The platform offers Firefly Services APIs for resizing, video, avatars, and 'Custom Models' for enhanced image quality.
Teams can optimize creative assets for various platforms like Amazon Ads, Google Campaign Manager 360, and Meta.
Leading businesses like Coca-Cola, Estée Lauder, and Publicis Groupe are using GenStudio solutions for marketing campaigns.
71% of marketers expect a five-fold increase in digital content needs by 2027, prompting Adobe to focus on tool upgrades.
Adobe reported record revenue of $5.87 billion in the second quarter of fiscal year 2025 due to increased demand for AI-driven solutions.
Varun Parmar, GM of Adobe GenStudio, highlights the AI platform's role in connecting creative vision with marketing goals.
The platform facilitates fast delivery of personalised experiences across various channels like video.
Adobe aims to meet the demand for compelling content by continuously enhancing its tools and platforms.
Varun Parmar stresses the importance of delivering fresh and compelling content in response to increasing digital content needs.
Adobe's focus on AI-driven software solutions is reflected in the revenue growth recorded in the second quarter of fiscal year 2025.
The company is dedicated to improving tools and platforms to cater to the evolving demands of marketers.
The AI features in Adobe GenStudio aim to help businesses create impactful customer experiences and accelerate marketing campaigns.

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Coforge Ties Up with Duke University to Boost GenAI Adoption Across Industries

Coforge partners with Duke University's Fuqua School of Business to enhance generative AI adoption in various industries.
They worked together to research powerful AI use cases across sectors and translate academic knowledge into industry applications.
Students in the Fuqua Client Consulting Practicum were guided by faculty and Coforge experts in areas like GenAI in wealth management and customer service.
The collaboration aimed to provide strategic analyses and recommendations for business transformation through generative AI.
Coforge collaborates with universities globally on emerging technologies like AI, machine learning, and offers students real-world business case opportunities.
Vic Gupta from Coforge highlighted the value of collaborations with universities in bringing creative solutions to industry challenges.
Stephanie Fruth Knight from Fuqua mentioned that students gained experience developing solutions for financial, insurance, and healthcare sectors.

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Gear Up for the upcoming Snowflake GCC Forums 2025

India's Global Capability Centres (GCCs) have transformed into innovation powerhouses with over 1,700 GCCs in the country.
Snowflake’s GCC Forum 2025 will showcase the evolution of GCCs and the role of data, AI, and cloud-native strategies.
The forum will take place in Hyderabad, Bengaluru, Chennai, and Pune.
Expect insights on generative AI breakthroughs and data-driven business transformation.
Event highlights include keynote sessions, customer success stories, fireside chats, and a panel on data-driven business value.
Key speakers include Prasuj Loganathan and Sujit Cheruvatath from Snowflake.
Sessions will cover turning data into business impact, AI strategy, and enterprise data transformation.
Limited seats available across cities, register now to be part of GCC innovation discussions.

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The Air India Tragedy That Could Have Been Prevented by AI

The recent Air India Flight 171 crash, caused by a Boeing 787 Dreamliner technical issue, resulted in 270 casualties.
AI could prevent aviation tragedies through predictive analytics and real-time monitoring, improving safety.
Boeing integrates AI, robotics, and machine vision systems to enhance aviation safety and operations.
AI aids in predictive maintenance, decision-making, and proactive risk management in the aviation sector.
Data analysis and AI enable early detection of mechanical failures, reducing in-flight emergencies.
Companies like Lufthansa Technik use AI to forecast mechanical issues and optimize maintenance schedules.
AI-driven predictive maintenance systems can identify safety risks early, minimizing aircraft downtime.
Air India utilizes AI for customer services and processes like ticket bookings and baggage tracking.
The air-taxi industry's future growth hinges on vertiports and advanced air traffic management systems.
Experts foresee the development of vertiports in congested areas to test advanced air mobility concepts.

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How AI is Filling India’s Rural Healthcare Gaps

AI is playing a significant role in addressing rural healthcare gaps in India, where many areas lack access to quality healthcare and medical professionals.
Health-tech startups like CureBay and Remidio are leveraging AI to improve healthcare services in rural and underserved areas.
CureBay focuses on reaching rural areas with limited access to doctors through a hybrid care model integrating AI and human intervention.
AI helps with screening, diagnosis, patient navigation, and backend system integration in CureBay's eClinics.
Remidio addresses preventable vision loss in rural India by providing frontline health workers with handheld retinal imaging devices powered by AI.
Their AI tools enable early detection of vision-threatening diseases and systemic conditions like cardiovascular disease, contributing to better healthcare outcomes in rural areas.
Both startups are making a positive impact by improving screening rates, treatment adherence, and patient trust in rural healthcare services.
The AI-powered solutions by CureBay and Remidio are scalable and have reached millions of people in rural and semi-urban populations.
These innovations address the challenges of limited access to quality healthcare professionals and medical infrastructure in rural India.
The use of AI in healthcare is seen as a crucial component in bridging the healthcare gap between urban and rural areas in India.

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Augmented Reality vs Virtual Reality

Augmented Reality (AR) overlays digital elements onto real surroundings, while Virtual Reality (VR) creates a completely virtual environment.
AR is accessible via smartphones, tablets, and smart glasses, whereas VR requires headsets and advanced equipment.
Both AR and VR are used in gaming, education, healthcare, and retail industries.
Choosing between AR and VR depends on goals, budget, and user experience needs.
AR uses devices' cameras and sensors to blend digital content with the real world, enhancing information and entertainment experiences.
VR immerses users in a digital universe with 3D visuals, motion tracking, hand controllers, and audio immersion.
Popular AR devices include smartphones, smart glasses, and AR headsets, along with AR software platforms like ARKit and ARCore.
Popular VR devices include Oculus Quest 2, PlayStation VR, HTC Vive, and Valve Index, offering immersive experiences and advanced controllers.
AR enhances real-world views with overlays, while VR completely replaces the real world with virtual scenes.
AR is cost-effective and mobile, suitable for retail and education, while VR provides deep immersion for gaming and virtual tours.

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Karnataka’s Proposal to Extend Work Hours Raises Concerns Across IT Sector

Karnataka government proposed amending the Karnataka Shops and Commercial Establishments Act to allow a 12-hour workday for IT/ITeS and BPO sectors.
The amendment aims to enable a two-shift system in IT companies instead of the current three-shift structure.
Proposed changes would permit employers to increase shift durations to enhance operational efficiency.
AI automation may render one-third of the workforce redundant, impacting junior-level and contract workers the most.
Karnataka State IT/ITeS Employees Union raised concerns about extended work hours on employee health, job security, and quality of life.
Anonymously, an IT employee expressed concerns about longer work hours taking a mental and emotional toll.
The proposed shift system could add instability to the job market as per KITU.
Karnataka's proposal contradicts international trends focusing on work-life balance and mental health.
Past proposals to increase work hours have faced pushback, like the withdrawn 14-hour workday proposal in 2024.
KITU plans awareness campaigns and protests against the proposed amendment in Bengaluru to ensure employee concerns are heard.
The state government cites a national push to amend working hours limits as a reason for the proposal.

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Indian Army Places ₹137 Crore Emergency Order for ideaForge Hybrid Mini UAVs

The Indian Army awarded Mumbai-based ideaForge Technology a ₹137 crore emergency procurement order for its hybrid Mini UAVs to address urgent operational requirements over the next 12 months.
The UAVs will support counter-insurgency and counter-terrorism operations with intelligence, surveillance, and reconnaissance capabilities.
The procurement prioritized national security, requiring critical components to be sourced from non-border-sharing nations, and ideaForge's UAVs met these requirements.
Rigorous trials and dual technical committee reviews were conducted to verify component origin and security before selection.
The UAVs were proven in live operations like Operation Sindoor and certified 'fit for Indian military use' by DGQA.
ideaForge expressed pride in serving and protecting India with resilient supply chain support under demanding conditions.
The company's UAVs are substantially indigenous in design and capability, aligning with self-reliance objectives.
ideaForge received DGCA certification for a drone pilot training programme and partnered with Vantage Robotics and Resonia.
The company showcased capabilities by helping relocate a leopard in Hyderabad and signing an MoU for drone usage in the power sector.
The Indian Army's order signifies a significant step towards enhancing UAV capabilities in critical operations.
The partnership with ideaForge highlights the growing importance of UAV technology in military and security applications.
The emergency order underscores the Indian Army's focus on leveraging advanced technology for operational effectiveness.
ideaForge's compliance with strict security and sourcing criteria further strengthens the defense sector's push for self-reliance.
The success of ideaForge's UAVs in meeting military requirements showcases the potential of indigenous defense technologies.
The collaboration with international partners and government certifications reflect ideaForge's commitment to innovation and compliance.
The diverse applications of ideaForge's UAVs, from military to wildlife management, demonstrate the versatility and efficacy of drone technology.

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Why TCS Changed Its Bench Policy

TCS has revised its talent deployment policy with a 225-day billable minimum and 35-day maximum bench time per year.
The shift aims to boost resource utilisation, aligning with industry demands for AI skills and innovation.
This change reflects a broader industry trend toward innovation-driven growth over labour-arbitrage.
Non-compliance could lead to salary freezes, appraisals delay, or performance-based exits.
TCS is reskilling employees in AI, ML, and digital platforms to adapt to automation and AI demands.
The policy's focus on upskilling highlights the importance of emerging tech proficiency in remaining competitive.
TCS's new policy may reshape India's IT talent pipeline, stressing the need for AI-ready graduates.
The 35-day bench cap and mandatory WFO could raise stress and attrition concerns, especially for employees in legacy roles.
Critics warn that excessive focus on utilisation rates may hinder innovation and flexibility within the organisation.
Balancing upskilling initiatives with mentorship and realistic timelines is crucial for employee development and success.

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QNu Labs Launches Academy to Support India’s Quantum Talent

QNu Labs launches QNu Academy, an educational platform for quantum technologies and cybersecurity aligned with India’s National Quantum Mission.
The initiative aims to provide practical knowledge in quantum key distribution, quantum random number generation, and post-quantum cryptography.
QNu Academy offers lab work, real-world use cases, and industry-validated programmes in collaboration with Indian institutes and international research bodies.
Certification, placement support, and faculty development modules are included to establish centres of excellence in educational institutions for research and innovation.
The academy is part of QNu Labs' mission to democratise quantum education and raise awareness of quantum communications.
The startup intends to build a sustainable quantum learning ecosystem in India by offering relevant programmes, labs, projects, and placements.
QNu Academy targets universities, faculty, and students to enhance quantum skills through instructor-led and self-paced learning.
It is seen as an investment in India’s digital resilience and quantum leadership to bridge the talent gap in quantum technologies.
QNu Labs recently concluded a series A funding round, securing ₹60 crore, with plans to expand the QShield quantum security platform.
The funding was led by the NQM and included investments from Lucky Investment, Speciale Invest, Tenacity Ventures, and Singularity AMC.

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Medium

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How GenAI Revolutionizes Planetary Colonization

GenAI is revolutionizing how we approach planetary colonization by using tools to predict human behavior and address challenges of living on other worlds.
The technology offers insights into human survival in space by anticipating complex social and psychological dynamics.
AI-driven simulations demonstrate how generative artificial intelligence can shape life in space colonies for human thriving and not just survival.
GenAI simulates ecosystems and human interactions realistically, going beyond terrain analysis and construction automation.
The focus is on comprehending human behavior in challenging environments like isolation, confinement, and resource scarcity.
The technology provides a future outlook on space colonization, with AI guiding human adaptation and cooperation in space.

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New Method Customises LLMs in Seconds, Beats Tuning: Research

Researchers from multiple universities introduce Drag-and-Drop (DnD) LLMs to customize large language models quickly.
DnD generates task-specific LoRA adapters from prompts, offering faster and more accurate results than traditional methods.
The new approach involves combining a frozen text encoder with a hyper-convolutional decoder for efficient adapter weight generation.
DnD collapses the conventional 'data→gradients→weights' loop into a single forward step, challenging the necessity of gradient descent for model specialization.
Compared to traditional fine-tuning methods like LoRA, DnD provides task-specific parameters up to 12,000 times faster and achieves up to 30% performance gains.
DnD significantly enhances accuracy on various datasets including ARC-e, BoolQ, HumanEval, GSM8K, and Math-Vision.
The method generalizes well across different domains and model sizes, demonstrating improved accuracy even on datasets it wasn't specifically trained on.

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