New Delhi: Nearly 70 to 80 per cent of India’s mobile data traffic is consumed indoors, yet significant coverage gaps remain in many premises, TRAI Chairperson Anil Kumar Lahoti said on Monday.With the adoption of advanced technologies like 5G, indoor connectivity requires careful planning of Digital Connectivity Infrastructure (DCI), including fibre entry, ducting, cable trays, rooftop access, Wi-Fi readiness, and resilience, as part of core infrastructure planning—similar to electricity and water supply—he said, addressing an online interactive session on the Framework for Rating of Properties on Digital Connectivity, jointly organised with The Forum of Indian Regulators (FoIR). TRAI Chairperson further informed participants that TRAI had notified the Regulations, 2024, introducing a voluntary star-rating system for properties and had released the Manual for Assessment of Digital Connectivity on August 13, 2025, to guide evaluations. He added that TRAI has already registered eight Digital Connectivity Rating Agencies (DCRAs) to operationalise this framework, with more applications under review. The session was attended by FoIR members along with senior representatives from the Insolvency and Bankruptcy Board of India (IBBI), Central Electricity Regulatory Commission (CERC), Petroleum and Natural Gas Regulatory Board (PNGRB), Competition Commission of India (CCI), State Electricity Regulatory Commissions (SERCs), and Airports Economic Regulatory Authority of India (AERA). Add Zee News as a Preferred Source The session provided a platform to share knowledge and exchange perspectives on mainstreaming digital connectivity infrastructure in real estate and infrastructure planning across different sectors in the country. More than 80 senior officers from FoIR and other organisations participated in the online session. Ravi Mital, Honorary Chairperson of FoIR and Chairman of IBBI, emphasised that robust digital connectivity is now a foundational requirement across all sectors—finance, education, transport, housing, healthcare, and beyond. He commended TRAI for introducing the Rating of Properties for Digital Connectivity Regulations, 2024, and underlined the importance of cross-sectoral collaboration among regulators to embed digital connectivity readiness into planning and governance frameworks. This engagement is part of TRAI’s ongoing outreach with stakeholders to raise awareness and promote adoption of its digital connectivity rating framework, in line with national priorities such as Digital India and the Smart Cities Mission.
Building a Transformer Model for Language Translation
This post is divided into six parts; they are: • Why Transformer is Better than Seq2Seq • Data Preparation and Tokenization • Design of a Transformer Model • Building the Transformer Model • Causal Mask and Padding Mask • Training and Evaluation Traditional seq2seq models with recurrent neural networks have two main limitations: • Sequential processing prevents parallelization • Limited ability to capture long-term dependencies since hidden states are overwritten whenever an element is processed The Transformer architecture, introduced in the 2017 paper “Attention is All You Need”, overcomes these limitations.
Tech Showdown: Google Pixel 10 Pro Vs iPhone 16 Pro; Camera, Battery, Price, Display And AI Features Compared | Technology News
Google Pixel 10 Pro Vs iPhone 16 Pro: The Google Pixel 10 Pro and iPhone 16 Pro are premium smartphones creating buzz in the market. Both rank among the hottest flagships of 2025, each bringing something exciting to the table. Google is going all in on AI, equipping its phone with smarter features, stunning photography upgrades, and a bright Super Actua Display. On the other hand, Apple sticks to its winning formula—sleek design, the powerful A18 Pro chip, and the smooth iOS experience that iPhone fans love. Whether you care more about cameras, battery, or overall performance, both phones make a strong case. This comparison aims to simplify the decision-making process and help users determine which phone best suits their needs and preferences. Google Pixel 10 Pro Vs iPhone 16 Pro: Camera Add Zee News as a Preferred Source The Google Pixel 10 Pro comes with a powerful triple rear camera setup that includes a 50MP wide lens, a 48MP ultrawide sensor, and a 48MP telephoto lens offering 5x optical zoom and Pro Res Zoom up to 100x. It also packs a 42MP front camera with autofocus, designed for high-quality selfies. (Also Read: iPhone, iPad, Mac At Risk? Apple Releases Urgent Update Ahead Of iPhone 17 Series India Launch; What You Need To Do To Stay Safe) On the other hand, the iPhone 16 Pro features a 48MP main camera, a 48MP ultrawide, and a 12MP periscope telephoto lens. For selfies, it uses a 12MP TrueDepth front camera with OIS and Face ID integration. While the Pixel leads in zoom and megapixel count, the iPhone stands out with excellent low-light performance and professional-grade video recording at 4K 120fps. Google Pixel 10 Pro Vs iPhone 16 Pro: Battery The Pixel 10 Pro houses a larger 4,870mAh battery with support for 30W fast charging and up to 15W Qi2-certified wireless charging. Meanwhile, the iPhone 16 Pro is powered by a 3,582mAh battery that supports 25W wired charging, along with 25W MagSafe wireless charging and Qi2 compatibility. The Pixel offers a bigger battery for longer backup, while the iPhone provides faster wireless charging through MagSafe, which also supports accessories. Google Pixel 10 Pro Vs iPhone 16 Pro: Design The Pixel 10 Pro uses Gorilla Glass Victus 2 for durability and has an IP68 rating for dust and water resistance. It carries Google’s signature camera bar design that makes it instantly recognizable but slightly bulkier. On the other hand, the iPhone 16 Pro uses Ceramic Shield for protection, along with a titanium or stainless steel frame, also with IP68 resistance. It has a sleeker, more premium feel and integrates seamlessly with MagSafe accessories. Google Pixel 10 Pro Vs iPhone 16 Pro: Display The Google Pixel 10 Pro sports a 6.3-inch Super Actua LTPO OLED display with a 1280 × 2856 resolution, 495ppi, 20:9 aspect ratio, and up to 3,300 nits peak brightness. It supports a refresh rate ranging from 1Hz to 120Hz and is protected by Gorilla Glass Victus 2. Meanwhile, the iPhone 16 Pro features a 6.3-inch LTPO Super Retina XDR OLED panel with a 120Hz refresh rate and Ceramic Shield protection. The Pixel stands out with higher peak brightness, while the iPhone’s display is fine-tuned for color accuracy and HDR performance. (Also Read: TECNO Likely To Launch World’s Slimmest 5G Curved Smartphone In India; Check Expected Specs, Price) Google Pixel 10 Pro Vs iPhone 16 Pro: Price Google Pixel 10 Pro price in India starts at Rs 1,09,999 for the base model with 256GB storage. Meanwhile, the iPhone 16 Pro is already available in India at a starting price of Rs 1,19,900 for the base 128GB variant. This means Google’s offering will likely attract price-conscious buyers, while Apple will continue to appeal to those who prefer premium build quality and brand value. Google Pixel 10 Pro Vs iPhone 16 Pro: AI Features Google’s Pixel 10 Pro is packed with AI-first features such as Gemini Live, Circle to Search, Call Assist, Live Translate, Magic Cue, Pixel Screenshots, Camera Coach, and Frequent Faces. It also supports Pro controls, High-Res 50MP mode, and Pro Res Zoom up to 100x. On the other hand, the iPhone 16 Pro introduces Apple Intelligence, which enhances Siri with advanced capabilities, offers Genmoji creation, Image Playground, improved photo editing tools, and upgraded video capture at 4K 120fps. Pixel excels in AI tools for productivity and photography, while iPhone integrates AI deeply into iOS for a smooth user experience. Google Pixel 10 Pro Vs iPhone 16 Pro: Processor And Performance The Pixel 10 Pro is powered by the Google Tensor G5 SoC paired with the Titan M2 security chip, 16GB of RAM, and 256GB of storage. It is designed with a focus on AI-driven tasks and long-term software support with 7 years of updates. The iPhone 16 Pro, on the other hand, uses the A18 Pro Bionic chip with 8GB RAM and up to 1TB storage. Apple’s chip delivers raw performance and efficiency, making it one of the fastest processors in the smartphone market, especially for gaming and high-end tasks. Disclaimer: This comparison helps people choose smartphones wisely. It doesn’t favour any brand or model, just gives facts to help consumers understand their options better.
Time-Series Transformation Toolkit: Feature Engineering for Predictive Analytics
In time series analysis and forecasting , transforming data is often necessary to uncover underlying patterns, stabilize properties like variance, and improve the performance of predictive models.
ChatGPT Maker OpenAI Confirms Plans To Open 1st India Office | Technology News
New Delhi: ChatGPT maker OpenAI on Friday confirmed plans to open its first India office in New Delhi later this year, alongside new data highlighting the rapid adoption of its tools in the country. Opening an office in India reflects OpenAI’s support for the government’s IndiaAI mission and commitment to partnering with the government to build AI for India, with India, the company said in a statement. It will also allow OpenAI to better serve its users in India, including the millions of students, educators, professionals, and developers who use OpenAI’s tools to learn, be more creative, and solve problems for themselves and others. “The level of excitement and opportunity for AI in India is incredible. India has all the ingredients to become a global AI leader—amazing tech talent, a world-class developer ecosystem, and strong government support through the IndiaAI Mission. Opening our first office and building a local team is an important first step in our commitment to make advanced AI more accessible across the country and to build AI for India, and with India,” said Sam Altman, CEO of OpenAI. Add Zee News as a Preferred Source This expansion underscores India’s global leadership in AI, its thriving AI ecosystem, and the growing demand for OpenAI’s advanced AI tools among people, developers, and businesses across the country. India is ChatGPT’s second-largest market by users, after the US, and one of its fastest-growing. Weekly active users of ChatGPT in India increased by more than 4 times in just the past year. “OpenAI’s decision to establish a presence in India reflects the country’s growing leadership in digital innovation and AI adoption. With strong investments in digital public infrastructure, AI talent, and enterprise-scale solutions, India is uniquely positioned to drive the next wave of AI-led transformation,” said Union Minister Ashwini Vaishnaw. “As part of the IndiaAI Mission, we are building the ecosystem for trusted and inclusive AI, and we welcome OpenAI’s partnership in advancing this vision to ensure the benefits of AI reach every citizen,” the minister noted. The country also ranks among the top 5 developer markets globally on the OpenAI platform. India has the largest population of students on ChatGPT worldwide. While details on the office’s exact location in New Delhi are yet to be confirmed, OpenAI has officially established an entity in India and has begun hiring a dedicated local team. This team will also focus on strengthening relationships with local partners, governments, businesses, developers, and academic institutions. Through this local presence, OpenAI is committed to listening closely to users, customers, and partners across India, and to building features and tools specifically for India — designed to make advanced AI more affordable and accessible to people throughout the entire country. Local businesses and institutions across India are already using OpenAI’s tools to tackle critical challenges, such as AI-powered agricultural services, streamlined recruitment, and effective governance tools. Looking ahead, OpenAI will host its first Education Summit in India this month. Later this year, OpenAI will host its first Developer Day in India, bringing together the country’s vibrant community of developers, startups, and enterprises shaping the future of AI. OpenAI said it is actively hiring for roles in India. Further details about the new office and planned activities will be announced in the coming months.
How to Interpret Your XGBoost Model: A Practical Guide to Feature Importance
One of the most widespread machine learning techniques is XGBoost (Extreme Gradient Boosting).
India Surpassed China In Smartphone Exports To US | Technology News
New Delhi: India has overtaken China in smartphone exports to the United States, marking a major milestone in the country’s manufacturing journey, according to a social media post by PIB citing research firm Canalys. As per the post, schemes such as Make in India and the Production Linked Incentive (PLI) have played a key role in reshaping the electronics sector. It said, “As a result of schemes like Make in India and PLI, India is now moving at a new pace in those industrial sectors in which it was never even considered a key manufacturer before. According to a report by research firm Canalys, in the second quarter of this calendar year, i.e., April-June, India has also overtaken China in terms of smartphones exported to the US.” The post states that the share of Made in India smartphones in US imports climbed to 44 per cent during April-June 2025, a sharp rise from 13 per cent in the same quarter of 2024. At the same time, China’s share dropped from 61 per cent a year earlier to just 25 per cent in the same period. Add Zee News as a Preferred Source This uptick in smartphone exports is supported by a decade-long transformation of India’s electronics industry. In the previous month, the Ministry of Electronics & IT detailed the growth trajectory in a release, showcasing that between 2014-15 and 2024-25, India’s electronics and mobile manufacturing sector has witnessed a notable transformation. Exports too saw a dramatic jump, rising from Rs. 38,000 crore to Rs. 3.27 lakh crore in the same period. Production of mobile phones itself shot up from Rs. 18,000 crore to Rs. 5.45 lakh crore, while exports grew from Rs. 1,500 crore to Rs. 2 lakh crore, recording a 127-fold surge. The production of electronic goods surged from Rs. 1.9 lakh crore in 2014-15 to Rs. 11.3 lakh crore in 2024-25, marking a sixfold increase. The ministry further revealed that the mobile manufacturing ecosystem grew exponentially, with the number of production units expanding from just two in 2014-15 to 300 by 2024-25, a 150-fold rise. As per the release, another crucial aspect of this transformation is India’s reduced reliance on imports. In 2014-15, imported phones accounted for 75 per cent of total demand. By 2024-25, this dependency had nearly vanished, standing at just 0.02 per cent.
Making Sense of Text with Decision Trees
In this article, you will learn: • Build a decision tree classifier for spam email detection that analyzes text data.
India’s Workforce Goes AI-First As Frontier Firms Lead Transformation: Report | Technology News
New Delhi: India’s most forward-looking organisations (called frontier firms) are leading the charge in reimagining work as these companies are not only adopting AI but also redesigning operations around human-agent collaboration — with 59 per cent of leaders already using AI agents to automate workstreams or business processes across entire teams, a report said on Wednesday. According to Microsoft’s ‘2025 Work Trend Index’, the Indian leaders are moving with confidence and urgency to integrate AI across their organisations, with 93 per cent intending to use AI agents to extend workforce capabilities in the next 12-18 months. This transformation is enabling organisations to scale with agility, speed, and purpose. “India is firmly in its AI-first era, with AI agility accelerating at an unprecedented pace. We’re seeing a workforce that’s not just adopting AI, but embedding it into the fabric of everyday work—leveraging its speed, precision, and 24/7 availability to drive meaningful transformation,” said Puneet Chandok, President, Microsoft India and South Asia. Leaders are scaling operations with AI emerging as a true thought partner — fuelling creativity, fast-tracking decisions, and redefining collaboration, Chandok added. Indian business leaders are making bold moves in response to AI’s acceleration. “An overwhelming 90 per cent say this is a pivotal year to rethink core strategies and operations — the highest globally. With 64 per cent prioritising productivity gains and 93 per cent confident they’ll use digital agents to expand workforce capacity in the next 12–18 months,” the Microsoft report stated. Organisations are getting ready for a new generation of jobs as AI becomes more integrated into everyday processes. The organisational chart is being revised to include software operators, agent bosses, and AI workflow designers. “92 per cent of leaders say their company is considering adding AI-specific roles, and 57 per cent expect teams to build multi-agent systems to automate complex tasks,” the report said. This represents a shift toward dynamic, AI-enabled teams in which each worker takes on the role of change architect. Organisations are stepping up their skilling efforts to support this evolution. “51 per cent of leaders cite upskilling as their top priority over the next 12–18 months, with 63 per cent of managers expecting AI training to become a core team responsibility within five years,” Microsoft said. The results highlight India’s preparedness to take the lead in the AI-powered future. With 66 per cent of employees and 80 per cent of leaders already familiar with AI agents, and a workforce eager to treat AI as both a thought partner and a productivity tool, the foundation is strong, according to the report. “Today, we’re not just leading businesses — we’re leading them with AI. This isn’t a simple tech upgrade; it’s a cultural transformation rooted in continuous learning, application, refinement, and scale,” said Himani Agrawal, Chief Operating Officer, Microsoft India and South Asia.
Building a Decoder-Only Transformer Model for Text Generation
This post is divided into five parts; they are: • From a Full Transformer to a Decoder-Only Model • Building a Decoder-Only Model • Data Preparation for Self-Supervised Learning • Training the Model • Extensions The transformer model originated as a sequence-to-sequence (seq2seq) model that converts an input sequence into a context vector, which is then used to generate a new sequence.