
Dhatu platform to make Math learning easy
'Unlike conventional MCQs (multiple choice questions), Dhatu not only identifies the wrong answers but also analyses why a student chose a particular option, helping them understand where they went wrong,' said Vallish Herur, managing trustee of Prayoga Institute. 'Our core idea is to focus on conceptual understanding and problem solving which are often ignored in the learning process.'
It uses the Root Question Method to guide students through a logical progression of thought. Each question builds on a central 'root' idea, providing choice explanation and feedback, helping learners connect the dots and understand the 'why' behind the concepts. Dhatu involves three levels which involves the introduction of concepts, the intervention and interconnectivity of concepts, and finally how these concepts can be applied in the real world scenario.
Offered free of cost, the programme will pilot in the academic year 2025-26 and will be fully rolled out by 2027, with a focus on reaching socially and economically disadvantaged schools and supporting quality math education across diverse communities. The platform was unveiled by Abhay Karandikar, secretary, Department of Science & Technology, Government of India.
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Time of India
24 minutes ago
- Time of India
Turkey unveils world's first sea-skimming combat drone, a stealthy, production-ready WIG craft unlike anything US, Russia or China has
In the 1960s, the Soviet Union stunned Western intelligence with the Caspian Sea Monster, a massive, winged ship that skimmed just above the water's surface, hidden from radar. Now, Turkey has revived and modernized that concept with TALAY, the world's first sea-skimming multipurpose unmanned aerial vehicle . Ankara-based defense innovator Solid Aero's webpage states that this cutting-edge craft is production-ready and the first of its kind. It blends the stealth of a low-flying drone with the aerodynamic efficiency of a Wing-in-Ground (WIG) effect vehicle, creating a new category of maritime strike and reconnaissance platforms. Productivity Tool Zero to Hero in Microsoft Excel: Complete Excel guide By Metla Sudha Sekhar View Program Finance Introduction to Technical Analysis & Candlestick Theory By Dinesh Nagpal View Program Finance Financial Literacy i e Lets Crack the Billionaire Code By CA Rahul Gupta View Program Digital Marketing Digital Marketing Masterclass by Neil Patel By Neil Patel View Program Finance Technical Analysis Demystified- A Complete Guide to Trading By Kunal Patel View Program Productivity Tool Excel Essentials to Expert: Your Complete Guide By Study at home View Program Artificial Intelligence AI For Business Professionals Batch 2 By Ansh Mehra View Program Unlike traditional UAVs that operate high above the surface, TALAY can skim the sea from 30 cm to 100 m, staying beneath typical radar horizons. This low profile enables it to infiltrate contested zones without detection, making it ideal for harbor attacks, reconnaissance, and rapid-response maritime operations. As per the manufacturer its foldable wings allow for quick deployment, and its low radar cross-section paired with a lightweight stealth-focused design keeps it virtually invisible until it's too late for an adversary to react. Live Events Power, payload, and precision Despite its compact 9.84-foot wingspan and 9.19-foot length, TALAY can carry up to 66 pounds (30 kg) of payload, whether advanced sensors or munitions comparable to smaller conventional anti-ship missiles. Powered by an electric engine and Li-Po battery, TALAY reaches 200 km/h (124 mph) and operates for up to three hours with a 200 km (124-mile) range. Its operational versatility covers: Normal Attack, Top Attack, Harbor Attack, Patrol and Reconnaissance Missions, Cargo Transport. Advanced AI-assisted flight control ensures both autonomous and operator-guided missions remain accurate and adaptable, even in sea state three conditions. The 'Caspian Sea Monster' connection While TALAY is groundbreaking for drones, it isn't the first craft to harness the Wing-in-Ground effect . The Cold War's Soviet Union's massive KM ekranoplan , nicknamed the Caspian Sea Monster, dominated military headlines in the Cold War era. That behemoth, however, was a crewed vehicle weighing hundreds of tons and designed for troop and missile transport. By contrast, TALAY miniaturizes the concept into a nimble, stealth-oriented UAV, offering precision strikes and reconnaissance without risking crew lives, a leap in both survivability and cost efficiency. Small size Although its payload is modest compared to large naval missiles, the potential for swarm tactics makes TALAY a serious maritime threat. Multiple drones could overwhelm a warship's defenses, targeting corvettes, inshore patrol craft, or even larger vessels. With production-ready models already showcased at the International Defense Industry Fair (IDEF 2025) in Istanbul, TALAY signals a new era in low-altitude maritime warfare. According to the Greek Reporter, serial production of TALAY will begin in October 2026, with the first production units to be delivered to the Turkish Navy in early 2027. Other powers The United States is developing the Liberty Lifter for rapid resupply in the Pacific theater, while China has floated speculative concepts for low-altitude maritime drones. Russia has hinted at modern patrol and missile-launch adaptations, but no production-ready model exists. Iran has teased smaller coastal-defense WIG craft. In Europe, Germany and the UK have researched WIG transport concepts, mostly for civilian or search-and-rescue roles, while Australia has trialed small-scale prototypes for island-hopping logistics. In a geopolitical moment where contested coastlines define the future of warfare, these platforms are gaining renewed relevance. But what sets Turkey's TALAY apart from its American, Russian, Chinese, European, Australian, and Iranian counterparts is simple: it's ready. Specs at a Glance: Maximum Speed: 200 km/h (124 mph) Operational Ceiling: 30 cm – 100 m above sea level Payload Capacity: 30 kg (66 lbs) Maximum Take-Off Weight: 60 kg (132 lbs) Endurance: 3 hours Range: 200 km (124 miles) Propulsion: Electric engine + Li-Po battery Flight Modes: Day/Night Economic Times WhatsApp channel )


Indian Express
an hour ago
- Indian Express
Are you in a mid-career to senior job? Don't fear AI – you could have this important advantage
Have you ever sat in a meeting where someone half your age casually mentions 'prompting ChatGPT' or 'running this through AI', and felt a familiar knot in your stomach? You're not alone. There's a growing narrative that artificial intelligence (AI) is inherently ageist, that older workers will be disproportionately hit by job displacement and are more reluctant to adopt AI tools. But such assumptions – especially that youth is a built-in advantage when it comes to AI – might not actually hold. While ageism in hiring is a real concern, if you have decades of work experience, your skills, knowledge and judgement could be exactly what's needed to harness AI's power – without falling into its traps. The research on who benefits most from AI at work is surprisingly murky, partly because it's still early days for systematic studies on AI and work. Some research suggests lower-skilled workers might have more to gain than high-skilled workers on certain straightforward tasks. The picture becomes much less clear under real-world conditions, especially for complex work that relies heavily on judgement and experience. Through our Skills Horizon research project, where we've been talking to Australian and global senior leaders across different industries, we're hearing a more nuanced story. Many older workers do experience AI as deeply unsettling. As one US-based CEO of a large multinational corporation told us: 'AI can be a form of existential challenge, not only to what you're doing, but how you view yourself.' But leaders are also observing an important and unexpected distinction: experienced workers are often much better at judging the quality of AI outputs. This might become one of the most important skills, given that AI occasionally hallucinates or gets things wrong. The CEO of a South American creative agency put it bluntly: 'Senior colleagues are using multiple AIs. If they don't have the right solution, they re-prompt, iterate, but the juniors are satisfied with the first answer, they copy, paste and think they're finished. They don't yet know what they are looking for, and the danger is that they will not learn what to look for if they keep working that way.' Experienced workers have a crucial advantage when it comes to prompting AI: they understand context and usually know how to express it clearly. While a junior advertising creative might ask an AI to 'Write copy for a sustainability campaign', a seasoned account director knows to specify 'Write conversational social media copy for a sustainable fashion brand targeting eco-conscious millennials, emphasising our client's zero-waste manufacturing process and keeping the tone authentic but not preachy'. This skill mirrors what experienced professionals do when briefing junior colleagues or freelancers: providing detailed instructions, accounting for audience, objectives, and constraints. It's a competency developed through years of managing teams and projects. Younger workers, despite their comfort with technology, may actually be at a disadvantage here. There's a crucial difference between using technology frequently and using it well. Many young people may become too accustomed to AI assistance. A survey of US teens this year found 72 per cent had used an AI companion app. Some children and teens are turning to chatbots for everyday decisions. Without the professional experience to recognise when something doesn't quite fit, younger workers risk accepting AI responses that feel right – effectively 'vibing' their work – rather than developing the analytical skills to evaluate AI usefulness. First, everyone benefits from learning more about AI. In our time educating everyone from students to senior leaders and CEOs, we find that misunderstandings about how AI works have little to do with age. A good place to start is reading up on what AI is and what it can do for you: What is AI? Where does AI come from? How does AI learn? What can AI do? What makes a good AI prompt? If you're not even sure which AI platform to try, we would recommend testing the most prominent ones, OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini. If you're an experienced worker feeling threatened by AI, lean into your strengths. Your decades of experience with delegation, context-setting, and critical evaluation are exactly what AI tools need. Start small. Pick one regular work task and experiment with AI assistance, using your judgement to evaluate and refine outputs. Practice prompting like you're briefing a junior colleague: be specific about context, constraints, and desired outcomes, and repeat the process as needed. Most importantly, don't feel threatened. In a workplace increasingly filled with AI-generated content, your ability to spot what doesn't quite fit, and to know what questions to ask, has never been more valuable.

Mint
4 hours ago
- Mint
Prosus bets on India's next startup wave—everyday AI
Dutch investing giant Prosus NV's venture capital arm is training its sights in India on a specific kind of artificial intelligence startup—those developing user-facing AI tools and services. In its latest annual report, Prosus said the next wave of value from AI would come from the application layer, 'where AI is embedded into business workflows". In other words: AI-first startups. Prosus recently invested in two Indian AI startups geared towards the application layer: Arivihan, an AI-driven learning platform, and CodeKarma, a productivity tool for software developers. 'I think the Indian market is very large. There are over 200 million annual shoppers and 500 million people have access to the internet. A playground at that scale isn't available anywhere else in the world," Dhruv Gupta, investor at Prosus, told Mint in an interview. Prosus led Arivihan's $4.2 million pre-Series A fundraising round alongside Accel and GSF Ventures in July—its first edtech investment in India since it wrote off its $530 million investment in Byju's in June last year. The Indore-based Arivihan's AI-driven learning platform offers coaching for school students through a mobile app, focusing on tier-2 cities and beyond. Last week, the Dutch firm, alongside Accel and Xeed Ventures, co-led Bengaluru-based CodeKarma's $2.5 million pre-seed fundraise, with AI-focused SenseAI Ventures and Stargazer Ventures participating. Prosus, which had over $152 billion of assets in 2024, previously invested in US-headquartered Ema Unlimited, an 'universal AI' employee startup founded by Surojit Chatterjee, who sits on ecommerce firm Meesho's board of directors and was a senior vice president and head of product at Flipkart. The venture capital firm has also invested in Bengaluru-based SpotDraft, which automates the contract lifecycle management system. Prosus's other AI application investments globally include which provides AI-powered software solutions to e-commerce businesses, and Nexad, which is building an AI-native advertising system. Accel, Lightspeed India, and PeakXV Partners, too, have been evaluating more application-layer AI startups this year. 'The sheer diversity that India sees in terms of languages (and) cultural context, offers stress testing to models in the market. In that sense, the application layer offers a much richer set of opportunities for founders to keep building in," said Gupta. Prosus has also invested in companies operating in the middleware layer of AI, which acts as a bridge between AI applications and models or services. In May, the VC firm invested an undisclosed sum in Deccan AI, a Palo Alto-based startup founded by a graduate of the Indian Institute of Technology, Bombay. The starup creates high-quality datasets for AI model training and evaluation. While Deccan AI's top executives are in the US, a majority of its workforce is in India, according to the startup's LinkedIn page. CodeKarma too straddles the middleware layer of AI. 'The company lies somewhere in the middle, and that highlights how you can't exactly put companies into buckets right now," Gupta said. 'The potential for AI applications in India is immense, given the digital transformation journey many enterprises have undertaken, though we don't have a specific figure for the India market," said Anushree Verma, senior director analyst at technology consulting firm Gartner. Sharper focus, uniquely Indian At the core of Prosus's decision to invest in Indian AI startups is that the founders of these companies are building products unique to the country. 'Some of the business models coming out of (India), you won't find them in the West. If there is a problem which is deeply Indian, is there a founder who can take a shot at solving the problem? That is where our investment thesis tries to hone in on," Gupta said. Prosus will continue with its focus on lifestyle and consumer startups in India, particularly companies that are working on personalising edtech, content generation, and commerce. 'We feel that there could be a horizontal layer on top of everyday commercial applications, which can… become your go-to for all your daily commercial activities," said Gupta. Prosus's India portfolio includes e-commerce platform Meesho, ride-hailing company Rapido, and food-delivery and quick-commerce provider Swiggy. In 2024-25, Prosus deployed $400 million in capital across 40 investments globally. Of the capital deployed, $88 million went towards AI-related investments. In this fiscal year as well, the firm remains 'focused on early-stage opportunities and supported existing portfolio companies across all regions", it said in its annual report. In fact, Prosus is quite bullish on agentic AI—self-learning systems that can learn and operate on their own with little-to-no human interference. In a report co-authored with a startup data intelligence provider, Prosus highlighted that agentic AI startups attracted $2.8 billion in VC funding globally. The technology is expected to account for 10% of all AI funding in 2025, hitting an estimated $6.7 billion by the end of the year, it said. Indian VCs, too, have tapped into the trend. SiftHub, and CoRover raised money for their agentic AI efforts last year. This year, Atomicwork raised $25 million in a Series A fundraising round, roping in influential US investor Khosla Ventures to its capitalisation table. Gartner predicts that by 2030, up to 50% of enterprise application software offerings will include some agentic AI features, up from less than 5% in 2025.