By Olamide Akintunde Bitget, a global Universal Exchange (UEX) has announced an update to its peer-to-peer (P2P) fee structure for the Naira Fiat Pair. The adjustment is designed to enhanceThe post Firm rolls out zero-fee for P2P in Naira markets appeared first on The Nation Newspaper.
A poor start to the domestic equity markets further pressured the local unit, but FII inflows provided support, preventing a sharp fall, forex traders said
Saudi Riyal to Pakistani Rupee Rate Today– Feb. 24, 2026
BitcoinWorldEUR/JPY Forecast: Bullish Momentum Holds Above Nine-Day EMA Near 182.50LONDON, March 2025 – The EUR/JPY currency pair demonstrates remarkable resilience, maintaining its position above the critical nine-day exponential moving average near the 182.50 level. This technical development signals continued bullish momentum in the Euro-Yen cross, capturing the attention of forex traders and institutional analysts worldwide. Market participants now scrutinize this key technical level as [...]This post EUR/JPY Forecast: Bullish Momentum Holds Above Nine-Day EMA Near 182.50 first appeared on BitcoinWorld.
BitcoinWorldNew Zealand Dollar Soars: Resilient NZD/USD Breaks 0.5950 Barrier Amidst Global Trade TurmoilWELLINGTON, New Zealand – April 2025: The New Zealand Dollar demonstrates remarkable resilience, pushing decisively above the 0.5950 threshold against the US Dollar. This significant movement occurs against a complex backdrop of escalating global trade tensions and shifting monetary policy expectations. Consequently, currency traders worldwide are scrutinizing the Kiwi’s performance for clues about broader market [...]This post New Zealand Dollar Soars: Resilient NZD/USD Breaks 0.5950 Barrier Amidst Global Trade Turmoil first appeared on BitcoinWorld.
A sharp drop in XRP has rattled short-term holders, but some onlookers warn the sell-off may be setting a base for a much larger rebound. Reports say the token slid hard after peaking last year, and a mix of on-chain metrics and chart patterns has traders weighing whether this is panic or opportunity. Related Reading: Bitcoin Buying Spree Nears Century Mark, Saylor Hints Deep Losses And A Familiar Pattern According to price data, XRP fell from a high near $3.65 to roughly $1.38, a move that wiped out a large chunk of recent gains and produced a 60% pullback from the July peak. Traders watched as realized losses spiked, with roughly $1.90 billion recorded over one week — a level that matches past capitulation events. When big losses pile up in a short span, selling pressure can be exhausted and the market is often left with fewer weak hands. Reports note that the token is approaching a higher-time-frame demand area between $0.85 and $0.65, a zone that acted as resistance before the rally in late 2024. In prior cycles, that same area turned into a multi-year accumulation range where long-term buyers stepped in. $XRP Crashed 69% And Everyone Is Panicking: Last Time This Happened It Pumped 835%#XRP Is Trading Around $1.39 After Breaking Down From $2 Support Zone. Currently Retesting The HTF Demand Level Which Previously Acted As Multi-Year Accumulation Zone Upper Boundary. Already... pic.twitter.com/ZVKY1nwLD4 — Crypto Patel (@CryptoPatel) February 22, 2026 From Panic To Jubilation Analyst Crypto Patel has highlighted those historical signals on social feeds, arguing the setup looks familiar and may not be permanent panic. He warned that XRP has dropped 69% and panic is spreading, but the last time it fell this much, it surged 835%. Bitcoin Moves Provide Context Across the broader market, Bitcoin’s swings have been a backdrop to altcoin pain. Recent sessions saw BTC shift from the high $66,000s down toward the mid-$60,000s, and that kind of volatility tends to drag other coins along. When BTC retreats, altcoins often fall harder, and XRP was no exception. The interplay between Bitcoin’s price action and altcoin flows is a practical reminder that macro moves still matter even when token-specific stories dominate headlines. Reports have recorded quick selling from short-term holders after price broke below $2, a psychological level many treated as support. That drop accelerated the move to near $1.11 in early February, which represented close to 70% drawdown from the cycle top. Related Reading: XRP Flashes Rare On-Chain Signal That Once Preceded 114% Gains What Traders Are Watching Next A slice of the market exited positions in frustration. Those exits show up cleanly on-chain as realized losses, which can mark the final wave of sellers before stability returns. From a technical view, staying above the lower bound of the $0.65 to $0.85 band on longer timeframes would be taken as constructive by many. If that holds, a phased recovery could bring prior resistance levels back into play — around $2, then $3, and beyond. Featured image from Gemini, chart from TradingView
India’s ambition to emerge as a global digital power increasingly depends on its ability to build indigenous artificial intelligence systems that reflect national priorities and social realities. Artificial intelligence is transforming governance, healthcare, education, finance and industry and as these technologies expand into everyday life, the importance of technological sovereignty has become more pronounced. For decades, India’s digital transformation has relied significantly on foreign-developed technological platforms, including artificial intelligence systems created primarily in Western countries. While these systems enabled rapid digital adoption, they often lacked the linguistic depth and cultural understanding necessary for a country as diverse as India. Most global AI models have traditionally been trained on English-language datasets and Western contexts, making them less effective in addressing India’s multilingual and socio-cultural complexity. It is in this context that Sarvam AI has emerged as a significant player attempting to build a fully indigenous artificial intelligence ecosystem designed specifically for Indian users. The initiative aligns closely with India’s broader vision of a digitally empowered society and a knowledge-driven economy. India’s artificial intelligence strategy is increasingly focused on inclusivity and accessibility, ensuring that technological innovation reaches citizens across linguistic and socio-economic backgrounds. Indigenous AI development is now viewed not only as a technological objective but also as a strategic necessity for economic resilience and national security. Building domestic AI capabilities also reduces dependence on foreign technology providers, while simultaneously strengthening India’s innovation ecosystem involving startups, academic institutions and research organisations. The IndiaAI Mission Sarvam AI has received major institutional support under the government’s national artificial intelligence programme, the IndiaAI Mission, which seeks to establish India as a global leader in responsible and inclusive AI development. Under the Innovation Centre pillar of the programme, Sarvam AI is among a select group of organisations tasked with building foundational AI models for India. The initiative includes financial and computing support worth Rs 246.72 crore, reflecting the government’s long-term commitment to indigenous artificial intelligence infrastructure. This support shows the importance policymakers attach to building AI systems rooted in Indian languages and datasets. Officials believe that developing foundational AI models domestically will ensure that future technological progress remains aligned with India’s social and economic priorities. Indigenous AI models are expected to play a transformative role in governance, improving the efficiency of public services, reducing bureaucratic delays and making government programmes more accessible to citizens. Vision of a Sovereign AI Ecosystem Sarvam AI was established with the explicit goal of building artificial intelligence systems designed specifically for India’s requirements. Unlike many technology companies that focus primarily on applications, Sarvam AI is developing a comprehensive technological ecosystem, spanning infrastructure, foundational models and end-user solutions. The company describes its approach as a sovereign AI ecosystem, meaning that development, deployment and governance of the technology remain entirely within India. This model addresses several longstanding challenges in India’s digital landscape, including linguistic diversity, accessibility barriers and dependence on foreign technological infrastructure. India is home to hundreds of languages and dialects, making multilingual communication one of the most complex technological challenges in the world. Sarvam AI’s systems aim to bridge this gap by enabling seamless interaction across multiple Indian languages. The organisation is building enterprise-grade platforms capable of operating at population scale, handling millions of interactions while maintaining reliability, speed and security. Such capabilities are essential in a country where digital public infrastructure increasingly serves hundreds of millions of users. AI Models Designed for India A major part of Sarvam AI’s work involves developing foundational artificial intelligence models capable of understanding Indian languages and contexts. Artificial intelligence models function like digital brains trained on vast quantities of data, allowing them to identify patterns, generate responses and make predictions. Sarvam AI has developed several core technologies, each designed to address specific challenges in India’s digital ecosystem. One of its major innovations is Bulbul a text-to-speech system that converts written content into natural-sounding speech. The technology currently supports multiple Indian languages and dozens of voice profiles, enabling voice-based digital services that can be used even by people with limited literacy. Voice interfaces are increasingly recognised as essential for inclusive digital governance, allowing citizens to access services without needing advanced technological skills. Another key system developed by the company is Saaras, a speech-to-text platform capable of converting spoken language into written text across multiple Indian languages. The system supports telephony audio and code-mixed speech, a particularly important feature in India where people frequently switch between languages during everyday conversations. This capability allows AI systems to function more naturally in real-life environments, making digital interactions more intuitive for users. Sarvam AI has also developed document-understanding models capable of reading and processing complex documents across multiple languages. These systems can interpret mixed scripts and even handwritten text, making them particularly useful for government departments that still rely heavily on paper-based records. Automated document processing can significantly reduce administrative workloads, while improving accuracy and efficiency. A full-stack AI platform Sarvam AI has built what it describes as a full-stack artificial intelligence ecosystem, integrating computing infrastructure, software frameworks and deployment systems into a unified platform. An AI stack refers to the complete set of tools required to build and operate artificial intelligence applications, ranging from foundational models to user-facing services. Sarvam AI’s ecosystem includes conversational platforms designed for enterprise and government use, enabling human-like voice interactions across multiple Indian languages. These systems are capable of handling millions of user interactions with minimal delay, making them suitable for large-scale public service platforms. The company has also developed enterprise-focused AI tools that help organisations adopt artificial intelligence more effectively. These systems support application development, debugging and optimisation, allowing institutions to customise AI solutions according to their specific needs. Sarvam AI’s content tools enable multilingual communication across media formats, including video dubbing, voice cloning and document translation. These technologies preserve document structure and formatting, making them suitable for official and administrative use. Such tools can help government agencies communicate with citizens in multiple languages more efficiently, improving transparency and accessibility. The company is also investing in edge artificial intelligence systems designed to [...]
Chittoor: Students of Vemu Institute of Technology secured first place at the three-day national-level hackathon ‘Code Snagaram’ held at Alliance University, Bengaluru.The team comprising Reddivari...
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FRANKFURT, Germany — Frustrated European officials pushed Monday for clarification on how U.S. President Donald Trump's declaration of a 15% global tax on imports would affect the trade deal they struck with Trump this summer as EU legislators hit pause on the deal's ratification until they get clarity.The European Parliament’s trade committee postponed a committee vote on ratification after Trump said he would impose the new tariff, after the U.S. Supreme Court struck down his use of an emergency powers law to set new import taxes. Trump then turned to another section of trade law to justify his imposition of the 15% global rate, which take effect Tuesday.The EU position is expressed in five words: “A deal is a deal,” said commission spokesman Olof Gill. “So now we are simply saying to the US, it is up to you to clearly show to us what path you are taking to honor the agreement.”The US-EU deal called for a 15% cap on tariffs on most European goods imports, while tariffs on US industrial goods would be lowered to zero. While the deal burdened consumers and businesses with a tariff increase from the previous average of 4.8%, it also gave businesses certainty so they could plan - a factor credited with helping Europe avoid a recession last year.Since the new 15% rate announced Saturday would be applied on top of the previous tariffs, it would break the agreed ceiling on tariffs, said Bernd Lange, chair of the parliament’s trade committee. Legislators postponed a committee vote on the agreement scheduled for Tuesday.Questions surrounded other trade deals done with individual countries including Brazil, India and Britain. For instance, Britain agreed a 10% maximum tariff with the US, while India settled on 18% and Vietnam accepted 20%. Although the Supreme Court decision did not directly affect bilateral deals, they were negotiated using threats of imposing the now-invalidated tariffs as leverage. However re-opening those deals could backfire because Trump has made clear he will pursue tariffs under other laws than the one the Supreme Court said he could not apply.US Trade Representative Jamison Greer said Sunday on US network CBS' “Face the Nation” program that the administration had made clear to negotiating partners that Trump was intent on tariffs whether the Supreme Court ruled against him or not, that “whether we won or lost, there were going to be tariffs.”He said that the bilateral deals “are good deals, we expect to stand by them, we expect our partners to stand by them.”Moving from country-specific tariffs to the flat 15% global tariff "will have considerable implications elsewhere,” said Atakan Bakiskan, US economist at Berenberg bank. The new tariff means a reduced rate for some countries, for example Brazil, which faces a reduction of nearly 15 percentage points and China, which sees a reduction of nearly 10 percentage points.Under the law Trump relied on, these latest tariffs are in effect for only 150 days unless Congress votes to extend them. Trump could use that time to search for other legal provisions that would support his actions.While uncertainty hits European companies, it puts pressure on the U.S. economy as well, where consumers and companies pay the tariffs on goods purchased from abroad. “Uncertainty around trade policy appears here to stay - putting continued pressure on the US economy,” Bakiskan said.
Get latest articles and stories on World at LatestLY. The rollout is expected to significantly strengthen secure 4G and 5G connectivity across Palau, improving network resilience while expanding access to advanced telecommunications services. Open RAN technology allows operators to diversify suppliers and avoid reliance on single-vendor systems, enhancing both security and supply chain flexibility. Officials say the move will help safeguard critical communications infrastructure while creating new commercial opportunities for American technology firms.