News related to
power

LearningCrypto has emerged as a leading force in the intersection of cryptocurrency and artificial intelligence, capitalising on the growing interest in crypto education. As more individuals seek to understand the complexities of digital currencies, platforms like LearningCrypto are responding to an urgent demand for in-depth knowledge in the ever-evolving crypto space.

The expansion of AI-driven educational tools has significantly reshaped how cryptocurrency is taught. LearningCrypto, which has grown rapidly over the past year, leverages AI to personalise the learning experience for its users. The platform uses AI algorithms to track a learner’s progress, adapt content, and recommend courses based on individual learning preferences and gaps in knowledge. By tapping into AI, the platform aims to bridge the knowledge gap, enabling people of all levels—from beginners to seasoned investors—to enhance their understanding of crypto assets.

Market trends show an overwhelming shift toward digital learning, especially in niche fields like cryptocurrency. As blockchain technology continues to disrupt traditional industries, there is a growing need for professional development courses tailored to the crypto world. This demand is being fuelled by a surge in cryptocurrency adoption and institutional interest, coupled with an increase in regulatory scrutiny. Individuals and businesses alike are eager to stay ahead of the curve, making crypto education a crucial priority.

LearningCrypto’s rise highlights a broader trend in the education sector, where AI is being harnessed not only for customised learning experiences but also for its potential to simulate real-world trading scenarios. This feature appeals to both new investors looking to explore the market and seasoned professionals wanting to test their strategies without the risk of losing capital. The ability to create simulated trading environments has proven to be a game-changer, giving users a safe space to learn and practice their skills.

Several factors contribute to the rapid adoption of crypto education platforms, with accessibility being at the forefront. These platforms offer an array of resources, from video tutorials and webinars to live sessions with industry experts. The inclusion of AI-driven assistance allows users to receive real-time feedback, enhancing their ability to grasp intricate concepts at their own pace. With many courses offered online, learners have the flexibility to study on their terms, making education more accessible than ever before.

The integration of AI also addresses one of the key challenges in cryptocurrency education—keeping up with the pace of change in the crypto market. AI tools can quickly adapt content to reflect the latest developments, market trends, and regulatory updates. This ability to provide up-to-date information ensures that learners are not left behind as the landscape shifts. For example, new developments such as the rise of central bank digital currencies and the ongoing discussions around the regulation of stablecoins are integrated into course materials in real-time.

The success of LearningCrypto is also a testament to the broader trend of the digital transformation of education. As traditional educational models struggle to keep up with technological advancements, online learning platforms powered by AI are becoming the go-to option for learners. Cryptocurrency, once viewed as a niche market, has gone mainstream, and its educational demand reflects this shift. By leveraging AI, platforms like LearningCrypto are positioning themselves at the forefront of this digital revolution in finance education.

Key players in the crypto education space have also taken note of this trend, with many developing their own AI-powered features to enhance the learning experience. Some platforms offer AI chatbots that provide instant answers to users’ queries, while others employ predictive analytics to help learners anticipate and prepare for market trends. This evolving landscape has raised the bar for crypto education, pushing platforms to integrate cutting-edge technology to remain competitive.

Google has broadened the accessibility of its AI-powered search feature, now available in 35 additional languages and 40 more countries. This global expansion brings cutting-edge search capabilities to millions more users, further solidifying the tech giant’s position in the evolving digital landscape.

The search engine’s AI mode, which has already been integrated into several regions, is designed to enhance user experience by delivering more nuanced, contextually aware responses. It leverages advanced machine learning algorithms to provide users with relevant, personalised information based on their search queries. As a result, users now receive more accurate results and immediate answers, whether they’re looking for detailed technical data, news, or casual information.

The expansion into 35 new languages, including Bengali, Malay, and Persian, marks a significant milestone in Google’s ambition to create a more universally accessible search engine. The company’s efforts to make its AI-powered features more inclusive have resonated with a global audience, particularly in regions with high numbers of native speakers who had previously been underrepresented in AI-driven services.

This development is part of Google’s broader strategy to strengthen its competitive edge in the search market. With AI now becoming a central element in search functionality, the company aims to differentiate itself from other players, such as Microsoft’s Bing, which has also integrated AI technology into its search engine.

Google’s move aligns with its ongoing efforts to prioritise artificial intelligence across its platforms. AI’s role in search has evolved beyond simple query-based responses to complex problem-solving and semantic understanding. By deploying AI in this expanded format, the company is setting a new benchmark for how search engines should interact with users. The introduction of more languages ensures that users worldwide benefit from a more intuitive and responsive search experience.

The roll-out is also designed to capture the attention of non-English-speaking markets, where Google has faced competition from regional players. For example, in countries where local languages dominate, such as parts of Southeast Asia and the Middle East, the ability to use AI-driven search in native languages is a crucial step towards maintaining user loyalty. Google’s strategy appears to be not only about providing relevant information but also tailoring responses in ways that reflect cultural and linguistic contexts.

Industry analysts note that the deployment of AI in search is becoming increasingly vital for tech companies looking to stay ahead in the digital space. By bringing AI to more languages, Google is ensuring its search platform remains at the forefront of technological innovation, offering greater value to users around the globe. Furthermore, the technology promises to assist businesses in connecting with customers more effectively by improving discoverability and delivering content more suited to regional and linguistic preferences.

This step towards universal AI integration is also a response to the growing demand for more accessible, user-centric services. As artificial intelligence continues to mature, users expect it to provide not only immediate answers but also solutions that are tailored to their individual needs and linguistic background.

However, the move is not without its challenges. Ensuring that AI algorithms perform optimally in diverse languages, including those with complex grammatical structures and dialects, remains a significant hurdle. For instance, languages like Bengali or Malay pose unique challenges due to their rich vocabulary and varied sentence structures. Google’s AI team is likely to continue refining its models to handle these nuances, improving accuracy and overall user satisfaction.

The growing global reach of AI-powered search further emphasises the broader trend of AI’s role in shaping future technology. With machine learning increasingly being embedded into everyday tasks, from search engines to digital assistants, the evolution of AI represents both an opportunity and a responsibility for companies like Google. The company must balance rapid innovation with ethical considerations, ensuring that its AI systems are transparent, equitable, and accountable.

MetaMask has rolled out an integration with Hyperliquid that allows perpetual futures trading directly within its wallet, marking a major expansion beyond its core custodial functionality. The launch went live today in selected jurisdictions, enabling users to take leveraged positions without leaving the application’s interface.

This move transforms MetaMask from a simple wallet to a more comprehensive on-chain trading hub. By embedding Hyperliquid’s perpetuals engine natively, MetaMask removes several intermediate steps that historically deter adoption—such as requiring users to traverse to external exchanges, cross chains, or cover multiple transaction fees. According to MetaMask’s global product lead, Gal Eldar, the integration “offers a frictionless path for passive holders to become active traders.” The wallet’s new “one-tap” experience is optimised for mobile usage, lowering barriers to entry.

Hyperliquid, a decentralised derivatives platform built with its own Layer 1 infrastructure, claims to support gas-free settlement and performance at scale. The platform processes tens of billions in trading volume, placing it among the leading names in on-chain perpetual markets. Hyperliquid’s architecture, with reported throughput exceeding 200,000 orders per second, underpins the performance demands of integrating derivatives directly inside a wallet.

MetaMask’s entry into this domain arrives amid sharp growth in decentralized perpetuals. In September, the total trading volume across decentralised perpetual platforms exceeded $700 billion, spurred by trader demand for leverage, 24/7 markets, and non-custodial exposure. Hyperliquid is a consistent high performer, with some estimates attributing to it a majority share of decentralised perpetual activity.

The new feature supports USDC deposits from any Ethereum Virtual Machine-compatible chain, and trades can be initiated with a single tap. The integration includes slippage checks, fee previews, and confirmation flows meant to shield users from common UX pitfalls. MetaMask’s team emphasises that the wallet retains self-custody at all stages, with users retaining control over private keys.

Critics caution that embedding leverage within a wallet may amplify risks for inexperienced users. Rapid liquidation, sharp market swings, and elevated margin requirements could expose users to sudden losses. To mitigate this, MetaMask is integrating risk-control measures and permission checks, though the success of those mechanisms will be closely watched by the community.

MetaMask’s expansion aligns with its broader roadmap. Earlier in the year, it unveiled a Mastercard-powered card feature, enabling spending directly from self-custodial wallets. It has also signalled intent to launch its native token, MASK, and is refining a loyalty rewards engine tied to on-chain activity. Those ancillary products may dovetail with its perpetuals integration, potentially weaving them into loyalty tiers, discounts, or governance models.

The decision pits MetaMask more directly against both centralised and decentralised exchanges. Centralised venues such as Binance and Bybit continue to dominate derivatives in terms of volume; however, their users must trust custody and counterparty risk. MetaMask’s proposition is differentiated by offering derivatives inside a wallet, combining convenience with self-custody.

Kocha village in the Khunti district of Jharkhand has been wired into a 40 kW solar micro-grid with IoT-enabled smart management, marking the third Climate Smart Village established under Schneider Electric India Foundation in partnership with PRADAN. The grid now supports irrigation pumps, agro-processing units, households, street lighting, a primary health centre and an e-vehicle.

The pilot builds on earlier deployments in the Gumla district’s Sehal and Chatti villages, where solar arrays of 40 kW and 45 kW were integrated with load-balancing systems to power productive use in agriculture and local enterprises. That model delivered doubling of household incomes and emission reductions of around 60,000 kg of CO₂ annually for those communities.

Officials at the inauguration in Kocha included Jharkhand’s Rural Development and Panchayati Raj Minister Dipika Pandey Singh, Khunti MP Kali Charan Munda, Torpa MLA Sudeep Gudhiya, and Damini Chaudhari, Vice President for Strategy, M&A & CSR at Schneider Electric. Deepak Sharma, MD & CEO of Schneider Electric India, emphasised the initiative’s aim to fuse renewable energy with local entrepreneurship and digital systems to empower self-sufficient rural economies.

Before the grid installation, farmers in Kocha were restricted to a single rain-fed cropping cycle each year, lacking the electricity required to operate processing machinery or irrigation pumps. Many households lacked reliable power, and migration was common owing to the scarcity of local jobs. Under the new scheme, farmers are experimenting with multi-crop production and in-village processing. A women-led Farmer Producer Organisation, Torpa Mahila Krishi Bhagwani Saykari Swalambhi Samiti, is central to aggregating, processing and marketing produce locally.

The mini-grid design employs smart energy management software that monitors demand and allocates energy dynamically, aiming for close to full utilisation of the solar capacity throughout the day. The system aggregates essential loads—agricultural, domestic and community—so that surplus power is diverted to where demand is highest at any given time.

In the Gumla villages, the success of this load-diversion strategy allowed continuous operation of irrigation pumps, oil expellers, rice hullers and small mills, effectively removing dependence on diesel backups. The result was a consistent power supply, reduced fuel costs and increased productivity. That template is now being scaled to Kocha.

SEIF intends to use the Kocha rollout as a replicable blueprint for scaling further in Jharkhand and across other states with energy-poor rural communities. The target is to reach 100,000 farmer families by 2025 through distributed, decentralised energy systems that combine renewable generation, digital control and demand flexibility.

Ukraine’s 63rd Mechanised Brigade has released footage claiming that a 22-year-old Indian national, Majoti Sahil Mohamed Hussein from Morbi, Gujarat, surrendered to Ukrainian forces after fighting for Russia. The Indian Ministry of External Affairs stated it is investigating the matter, having not yet received formal confirmation from Ukrainian authorities.

In the video, Hussein says he travelled to Russia for university studies but was later convicted on drug charges and handed a seven-year prison sentence. He states that to avoid incarceration, he accepted a Russian military contract to fight in Ukraine. After only 16 days of training, he was deployed to the front lines on 1 October, and after three days of combat, asserted that a dispute with his commander prompted him to approach a Ukrainian trench position and surrender. “I immediately put down my rifle … I didn’t want to fight. I needed help,” he is heard saying in Russian. He further claims he never received promised financial compensation and that he would rather remain in custody in Ukraine than return to Russia.

Indian officials have neither confirmed his capture nor denied it. A spokeswoman from the MEA said New Delhi is “ascertaining the veracity of the report.” The Indian mission in Kyiv is reported to be seeking clarity from Ukrainian counterparts. The MEA noted it has not yet received an official notification.

If confirmed, this would mark the first verified case of an Indian national being held by Ukrainian forces after participating directly in combat on Russia’s side—although Indian nationals have previously been reported among Russian-aligned forces. In January, Indian authorities disclosed that 12 citizens had died fighting for Russia, while 16 others were listed as missing. New Delhi has repeatedly raised the issue with Moscow, urging the repatriation or discharge of Indians serving in the Russian military.

The broader phenomenon of third-country nationals entering the Russia-Ukraine war as combatants has drawn increasing scrutiny. Independent investigations estimate that more than 1,500 foreign fighters from over 48 nations have joined Russia’s military ranks. Some are believed to have been recruited under misleading promises, including job opportunities, visa benefits, or leniency in legal cases. In India’s case, accusations of coercion or trafficking have been made—families of slain Indian fighters have claimed their relatives were enticed with assurances but ultimately compelled into frontline service.

Analysts note that this case, if corroborated, underscores the murky legal and ethical terrain of foreign national participation in armed conflict. Under international humanitarian law, combatants captured in war zones may face prosecution, detainee protections, or diplomatic processes, depending on their status. The Indian government, maintaining a non-aligned posture regarding the Russia-Ukraine conflict, must balance protecting its citizens abroad with adherence to international norms and pressure from both Moscow and Kyiv.

Within India, this development is likely to intensify scrutiny over how students or migrants abroad might be exposed to recruitment schemes, particularly in countries engaged in conflict. Some previous admissions of Indians fighting for Russia suggested recruitment via third-party agents or recruitment drives run under the guise of employment for non-combat roles—later displaced into military duty. Families have, in past instances, sought intervention from Indian diplomatic missions, urging more robust preventive mechanisms.

Meanwhile, in Russia, foreign conscripts—or contracted soldiers from abroad—have been increasingly leveraged to supplement manpower. Ukrainian authorities have touted captures of foreign fighters in multiple instances, often publicising their nationality to highlight alleged exploitation or coercion. These reports frequently appear in social media or Telegram channels operated by Ukrainian units, although independent verification is sometimes challenging, given the fog of war and conflicting narratives.

By Sushil Kutty Rare minerals included lots of ores, this was something we were taught in school and we learned about stone age, copper age and iron age, the last of which remains to this day the most basic of minerals, out of which was born steel and the term steely strength, like in ‘Superman […]

The article Pakistan Is The Dearest To Trump In Asia As Islamabad Exports Rare Earth Minerals appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

Edgecore Networks will reveal its latest open infrastructure solutions at the OCP Global Summit in San Jose and GITEX Global in Dubai, with demonstrations of next-generation AI, networking, and compute platforms designed to ease deployment and boost performance.

The Taiwanese firm plans four flagship showcases: new Tomahawk 6–based data centre switches, a proof-of-concept for co-packaged optics, its Nexvec™ turnkey AI solution, and an upgraded Nous infrastructure controller offering composable compute management. The exhibitions will take place during the week of 13 October: at the OCP Summit from 13–16 October and at GITEX from 13–17 October.

Edgecore emphasises that the Tomahawk 6 switches can deliver more than 100 Tbps of bandwidth, supporting AI cluster demands with low latency and high density. The company adds that its CPO concept demonstrates integration of optical elements directly into switch silicon, reducing power and footprint. Its Nexvec™ offering is a pre-validated stack combining open networking with GPU compute, while Nous enables dynamic allocation of GPU, memory and compute resources.

Mingshou Liu, President of Edgecore, is quoted as saying that as AI workloads accelerate, simplifying deployment is crucial, and that the firm seeks to lead in the open infrastructure community with turnkey and scalable offerings.

Edgecore’s push comes at a time when hyperscale data centre operators are under pressure to manage burgeoning AI compute demands without ballooning costs or power draws. Industry trends point to co-packaged optics, disaggregated architectures, and composable resource frameworks as priorities for the next wave of infrastructure evolution. At the OCP Summit, the AI HW/SW co-design and open systems tracks will explore modular compute, memory architectures and photonic interconnects for AI clusters.

In parallel, GITEX Global has become a high-stakes stage for showcasing AI infrastructure, especially in the UAE’s drive to scale AI capabilities and attract global tech investment. With over 45 editions, the event draws global vendors and governments presenting AI, semiconductors, networking, and startup innovation. Edgecore’s presence signals its intention to engage key markets in the Middle East, where data centre growth, AI deployment, and regional cloud expansion are strong levers.

Edgecore is not alone in spotlighting AI infrastructure at these events. Major networking suppliers, chip vendors, and cloud players are expected to present competing solutions, particularly around optical integration, disaggregation, and hardware-software co-design. Observers will closely track how well Edgecore’s offerings stack up in power efficiency, interoperability, and ease of deployment.

Within its broader strategic frame, Edgecore continues to emphasise open, standards-based infrastructure. Its public messaging highlights disaggregated networking, composable compute, and software-defined manageability. The timing of product demonstrations at both OCP and GITEX gives the company a dual audience of deeply technical integrators and regional enterprise buyers.

At the OCP Summit, Edgecore’s participation also coincides with evolving community priorities—AI, sustainability, modular compute, and photonics interconnect are central tracks. During the event, Edgecore’s representative Tim Zhou will present on simplifying large-scale “agentic AI” deployments in a session scheduled for 16 October.][5])