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Showing posts with the label Artificial Intelligence

How can biohydrogen boost agricultural income and create rural jobs

Biohydrogen has the potential to significantly boost agricultural income and create millions of rural jobs by transforming the way energy is produced and consumed in India. According to the sources, the following mechanisms drive this impact: 1. Monetizing Biomass through "New Farming" The core of KPIT’s biohydrogen strategy is producing hydrogen from biomass rather than through expensive electrolysis. Targeted Biomass Production: Research has been conducted into specific types of trees and crops that can be grown to produce the lowest-cost biomass. Income Diversification: By growing these specialized crops, farmers can create a new, steady stream of revenue, effectively turning agricultural waste or dedicated energy crops into a valuable industrial feedstock. 2. Creation of "Clean Industry" Rural Jobs As AI and mechanization displace traditional roles, Ravi Pandit identifies the hydrogen ecosystem as a source of "tremendous energy jobs" . ...

What clean industry jobs could mitigate the risks posed by AI

To mitigate the risks of job displacement and societal disruption posed by AI , Ravi Pandit identifies several "clean industry" sectors that have the potential to create millions of new jobs. He suggests that as AI takes over conventional roles in coding and management, human effort should be redirected into the following fields: Green Energy and Hydrogen: There are "tremendous energy jobs" expected to emerge, particularly in the development of a hydrogen ecosystem. Specifically, the production of biohydrogen from biomass could significantly boost agricultural income and create millions of jobs in rural and industrial sectors. Education : A shift in the educational framework is required to move from a potential "demographic disaster" to a "demographic dividend". Pandit notes that "a lot of education jobs" will be needed to prepare the workforce for an AI-driven world. Healthcare : This is identified as one of the "five si...

How does KPIT plan to lead in hydrogen and sodium batteries

KPIT’s strategy to lead in hydrogen and sodium batteries is driven by a commitment to sustainability , a desire for national energy independence , and a "mile deep" focus on specialized research and development. 1. Leading in Sodium Batteries KPIT began working on sodium battery technology approximately six years ago, anticipating that the world would eventually seek alternatives to lithium-ion batteries to avoid over-dependence on specific countries, notably China. Their plan includes: Technological Achievement: KPIT successfully built India's first sodium battery and developed the underlying technology in-house. Commercialisation through Licensing: Rather than manufacturing the batteries themselves, they have licensed the technology to a large Indian private company to bring these batteries to the market. Performance and Cost Targets: KPIT is targeting a performance level of 190 Wh/kg and a cost of less than $50 per kilowatt hour , which would make it a high...

Why did KPIT pivot to become 'a mile deep' in automotive software

  KPIT pivoted to become "a mile deep and inch wide" in automotive software because its leadership was committed to being a global leader rather than an "also-ran" in the general IT services market . The decision was driven by the following strategic factors: 1. Lack of Leadership in General IT When KPIT reached approximately $700 million in revenue with 14,000 employees, it was operating across multiple verticals, including banking, financial services, manufacturing, and logistics. Leadership realised that in most of these sectors, there were competitors whose single-sector revenues exceeded KPIT’s entire company revenue. They concluded they were not the leaders in those fields and were dissatisfied with being a generalist firm. 2. The Opportunity in Automotive Software At the time of the pivot, KPIT’s automotive work accounted for about $200 million of its revenue. Leadership recognised that the automotive industry was undergoing a fundamental transformat...

What are the three risk levels AI poses to humans

Ravi Pandit ( KPIT Founder ) identifies three levels of risk that AI poses to humanity, ranging from individual cognitive decline to broader societal and philosophical challenges: 1. Dumbing Down the Population The first level of risk is that AI may "dumb us down" by causing humans to offload essential cognitive tasks to machines. Pandit provides several examples of this: Memory Loss: People no longer remember telephone numbers because they have "delegated" that memory to computers. Loss of Basic Skills : Calculation abilities, such as knowing multiplication tables, are being lost as people rely on technology. Mechanised Thinking : As computers begin to understand broad instructions (talking to them "like an adult"), the fundamental skill of coding—which requires precise logic—may diminish among humans. 2. Disruption of Society The second level involves the disruption of social and economic structures . Key concerns include: Income Disparity : ...

India’s Landmark Era of Research, Innovation & Deep-Tech Growth

India’s research and development (R&D) ecosystem is undergoing a historic transformation. The country is shifting from a primarily public-funded research model to a private-sector-driven, innovation-led economy , backed by massive strategic investments. This transformation directly supports the national vision of Viksit Bharat @ 2047 , with Investment and Innovation identified as two of the four core growth engines in the 2025–26 Union Budget . The focus is clear: ➡ Build global innovation leadership ➡ Strengthen deep-tech infrastructure ➡ Attract private capital into strategic sectors ➡ Create a strong research-to-commercialisation pipeline 🧠 Strategic Institutional Foundations Anusandhan National Research Foundation (ANRF) Operational since 2024 Target: ₹50,000 crore mobilisation over 5 years Purpose: Bridge academia–industry collaboration Provide strategic national direction in science & technology Enable interdisciplinary research to solve complex societal challenges R...

The 175 Billion Parameter Question: 5 Surprising Lessons from GPT-3

The 175 Billion Parameter Question: 5 Surprising Lessons from GPT-3 Is scale alone enough to transform artificial intelligence? When GPT-3 launched with 175 billion parameters , it didn’t just break records — it reshaped how we think about intelligence itself. The End of Specialized AI: A Paradigm Shift For nearly a decade, artificial intelligence advanced through specialization. Engineers built narrow systems: one for translation, another for summarization, another for classification. Each required curated datasets and task-specific fine-tuning. This approach worked — but it was fragile. Unlike humans, who can understand new tasks from a single instruction, traditional AI systems required thousands of labeled examples. GPT-3 changed that equation. By scaling a single autoregressive model to 175 billion parameters, researchers demonstrated that size itself could unlock general-purpose adaptability. Instead of retraining for each task, GPT-3 adapts...

Beyond the Hype: 5 Surprising Realities of the Modern Tech Revolution

Beyond the Hype: 5 Surprising Realities of the Modern Tech Revolution AI fatigue is real. After years of hype, demos, and digital promises, the world is finally shifting from imagination to implementation. The modern tech revolution is no longer about vision decks—it is about execution, proof, and industrial-scale transformation. Introduction: From AI Hype to Real Economic Infrastructure The global professional ecosystem has been saturated with futuristic promises for over two years. Leaders have endured waves of demo-ware , vaporware , and speculative innovation narratives. But beneath the surface, something deeper is happening. The world’s largest IT powerhouses— Infosys , TCS , Wipro , HCLTech , Persistent, and Birlasoft —are not talking about the future anymore. They are industrializing it . The era of digital transformation as a one-time project is over. In its place, a new survival model has emerged: Perpetual Adaptation . In this new model, success is not defined by ...

How to Create Studio Ghibli-Style AI Images on ChatGPT for Free

How to Create Studio Ghibli-Style AI Images on ChatGPT for Free AI-generated art is making waves across the internet, captivating audiences with stunning, ethereal visuals inspired by the iconic animation style of Studio Ghibli . These AI-crafted images, from dreamy landscapes to expressive characters, reflect the timeless magic of Hayao Miyazaki ’s beloved films such as Spirited Away , My Neighbor Totoro , and Howl’s Moving Castle . Thanks to recent advancements in AI technology, particularly OpenAI ’s latest ChatGPT update, users can now create their own Studio Ghibli-inspired illustrations effortlessly by entering simple text prompts. This exciting feature is transforming digital art creation and making it accessible to both professionals and beginners. In this article, we’ll guide you through creating Ghibli-style AI images using ChatGPT and explore free alternatives for users who don’t yet have access to this feature. Ghibli AI generator free Step-by-Step Guide: How to Crea...