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The demand has gathered pace across student networks, parent groups and coaching circles after candidates reported unusually low marks, unchecked answers, blurred scanned copies, payment failures and difficulty accessing the board’s post-result services. Many students say the burden of paying for verification and re-evaluation should not fall on candidates if the discrepancies arose within the evaluation system.

The dispute is centred on the board’s On-Screen Marking system, introduced for Class 12 answer books in the 2026 main examinations. CBSE has described the system as a technology-led reform intended to improve standardisation, accuracy, confidentiality and speed in evaluation. Students and parents, however, argue that the transition has exposed gaps in implementation at a time when even small changes in marks can affect eligibility, merit lists, counselling and scholarship decisions.

By June 5, CBSE had received more than 60,000 applications for verification and re-evaluation from Class 12 students across the country. The volume of requests has underlined the scale of unease after the declaration of results, particularly among students applying for engineering, medicine, commerce programmes and overseas universities, where documentation deadlines can be tight.

CBSE reduced the cost of post-result services after concerns were raised over access and affordability. The fee for obtaining a scanned copy of an evaluated answer book was cut from ₹700 to ₹100. The verification fee was lowered from ₹500 to ₹100, while the re-evaluation charge was reduced from ₹100 to ₹25 per question. The board has also said the fee will be refunded if marks increase after re-evaluation.

Students seeking redress must first obtain their scanned answer sheets before applying for verification or re-evaluation in the relevant subject. Applications are being handled through the official post-result portal, with Aadhaar-based verification added for security. CBSE has said answer sheets are available in candidate accounts and may also be sent to registered email addresses.

The fee reduction has not ended the dispute. Students argue that a refund after marks increase does not address the wider issue of upfront cost, uncertainty and loss of admission time. Families applying in multiple subjects may still have to pay for several stages of the process, while those waiting for revised marks risk missing cut-off dates at universities and professional institutions.

Technical concerns have widened the controversy beyond marks alone. CBSE acknowledged vulnerabilities linked to a portal used for scanned answer sheets after claims that answer booklets and examination papers had been exposed through an unsecured cloud storage route. The board said cybersecurity professionals from government agencies and IITs were being deployed to strengthen digital assets and move systems to a safer infrastructure.

The episode has also triggered questions about the service provider handling the digital evaluation process. Coempt Edutek Private Limited, a Hyderabad-based company associated with the On-Screen Marking framework, has come under scrutiny as students, parents and political figures call for greater transparency in the tendering, scanning, storage and review process. CBSE has maintained that the digital system includes quality checks and is meant to make evaluation more consistent.

Admission-related pressure has sharpened the demand for swift relief. Engineering aspirants are especially concerned because Class 12 marks remain relevant for eligibility in several routes. IIT Roorkee, which is handling JEE Advanced admissions, has allowed candidates below the 75 per cent Class 12 threshold to participate in the seat allocation process, provided they submit a revised qualifying scorecard by July 15 if their marks change after re-evaluation.

Parents’ associations have sought a one-time package covering grace marks for affected students, fee waiver for post-result services and flexibility in admission documentation deadlines. Teachers and education consultants have urged CBSE to publish clearer data on how many answer sheets are revised after verification and re-evaluation, arguing that transparency would help restore confidence in the system.

The response came after the won slipped past psychologically important levels against the dollar, intensifying concern among policymakers over inflation, capital flows and financial stability. Finance Minister Koo Yun-cheol convened senior economic officials and signalled that Seoul would act quickly if market moves became excessive, while the Bank of Korea and financial regulators kept watch on trading patterns across currency, bond and equity markets.

The won traded around the 1,520 range against the dollar after touching levels not seen for years, reflecting a mix of domestic and external pressures. Higher energy import costs, a strong dollar, portfolio outflows and demand for overseas investments have combined to weaken the currency despite South Korea’s current account surplus and continued strength in key export sectors.

Authorities are seeking to draw a line between normal market adjustment and disorderly moves that could spill into inflation expectations or funding conditions. Their measures are focused on sharper surveillance of foreign exchange transactions, closer coordination among financial agencies and readiness to respond to speculative flows that amplify one-way bets against the currency.

Seoul has avoided announcing broad capital controls, mindful of its ambition to deepen market access and secure developed-market recognition from global index providers. Instead, officials are relying on targeted stabilisation tools, verbal intervention and coordination with major institutional investors to smooth dollar demand. The National Pension Service remains central to those efforts because of the scale of its overseas investment activity and its potential impact on dollar-won liquidity.

The currency’s slide has complicated the Bank of Korea’s policy choices. Inflation rose to 3.1 per cent in May, the highest level in more than two years, pushed up by petroleum products and international travel costs. A weaker won increases the local-currency cost of imported fuel, food and raw materials, raising the risk that price pressures remain above the central bank’s 2 per cent target for longer than expected.

Rate policy now sits at the intersection of slowing growth, currency stability and household debt risks. A rate increase could support the won and restrain inflation, but it would add pressure on consumers and businesses already facing tighter financing conditions. Holding rates steady could protect domestic demand, but might leave the currency exposed if dollar strength persists or foreign investors continue to rebalance away from won assets.

Market pressure has also been shaped by South Korea’s stock market boom and its role in global technology supply chains. The country’s chipmakers and artificial intelligence-linked companies drew heavy investor interest, but sharp gains have also encouraged profit-taking and portfolio reallocation. When offshore investors sell equities or hedge exposure, demand for dollars can rise, adding to currency volatility.

Exporters have not provided the same level of support to the won that authorities might have expected during previous cycles. Companies with large overseas revenues have been cautious about converting dollar earnings, partly because of expectations of further currency weakness and partly because global investment plans require foreign currency holdings. That has deepened the imbalance between dollar demand and supply.

South Korea’s external position remains stronger than the currency’s movement alone suggests. The economy continues to benefit from semiconductor exports, sizeable foreign reserves and a sophisticated financial system. Yet the won has become more sensitive to swings in global risk appetite, partly because households, pension funds and institutional investors have increased overseas securities purchases over the past several years.

The government’s challenge is to calm markets without appearing to defend a fixed exchange-rate level. Officials have framed their intervention as an effort to prevent excessive volatility rather than reverse market fundamentals. That distinction matters because heavy-handed action could invite criticism from trading partners and undermine Seoul’s commitment to market liberalisation.

The United States and South Korea have already discussed currency stability, with both sides describing excessive volatility in the won as undesirable. Those consultations add a diplomatic layer to Seoul’s response, especially as South Korea balances foreign exchange concerns with large investment commitments abroad and shifting trade policy under Washington’s current tariff regime.

The plan, worth about $4.3 billion, reflects a sharp turn by Gulf from its traditional base as a power producer into a broader infrastructure group linking electricity generation, telecommunications, cloud services and industrial logistics. The investment push comes as Thailand seeks to position itself as a regional data hub, helped by rising demand for cloud computing, artificial intelligence workloads and data-localisation capacity across Southeast Asia.

Gulf’s strategy is built around a simple commercial premise: AI facilities need vast, reliable and increasingly low-carbon electricity. Data centres are among the most power-intensive assets in the digital economy, and operators are under pressure to secure stable energy supply while meeting sustainability commitments from global technology clients. Gulf’s existing position in gas-fired power, renewable energy and utilities gives it an advantage that pure technology infrastructure firms may struggle to match.

Sarath, Gulf’s chief executive and controlling figure, has spent years reshaping the group from a conventional energy developer into a conglomerate with exposure to telecoms, satellites, digital platforms and cloud infrastructure. The merger of Gulf Energy Development and Intouch Holdings created a larger listed platform linked to Advanced Info Service, Thailand’s biggest mobile operator, and Thaicom, the satellite company. That structure gives Gulf access to telecom traffic, enterprise clients and digital distribution channels that can support its data-centre ambitions.

The investment programme is expected to support new data-centre capacity, related infrastructure and power projects needed to serve hyperscale and enterprise customers. Gulf has already moved into the sector through partnerships involving global technology names and regional operators, while its digital arm has explored cloud and AI services designed for corporate and government clients. The company’s first major data-centre project has become a reference point for its expansion into facilities that can host high-density computing workloads.

Thailand’s broader investment environment has also shifted in Gulf’s favour. Authorities have approved large-scale data infrastructure projects from global technology players, including server and data-processing investments across Bangkok, Samut Prakan and Chachoengsao. Google, Amazon Web Services, Microsoft and ByteDance-linked operations have all announced or pursued major commitments in the country, intensifying competition but also validating Thailand’s role in the regional digital economy.

For Gulf, the opportunity lies not only in renting data-centre capacity but also in selling bundled infrastructure: power, connectivity, cloud access and long-term operational reliability. That model could create recurring income and reduce dependence on regulated returns from power generation. It may also help Gulf deepen its relationship with large technology clients seeking local partners that understand land, energy approvals, grid constraints and domestic regulatory requirements.

The group’s financial position gives it room to move, though the scale of the programme will be closely watched by investors. Gulf reported strong first-quarter earnings for 2026, helped by its energy operations and profit contribution from Advanced Info Service. Revenue growth and core profit gains have strengthened confidence in its ability to finance new projects, but data centres require heavy upfront spending and returns can depend on utilisation rates, long-term contracts and energy costs.

The timing is also sensitive. Across Asia, governments are competing for data-centre investment while confronting pressure on power grids, water use and land availability. Singapore’s cautious approach to new data-centre capacity has encouraged developers to look at Malaysia, Thailand, Indonesia and Vietnam, but each market faces its own constraints. Thailand has industrial land, policy incentives and improving connectivity, yet grid readiness and clean-energy availability remain decisive issues for hyperscale clients.

Gulf’s renewable energy targets are likely to form part of its sales pitch. The company has set out plans to raise the share of renewables in its generation portfolio and reduce carbon intensity, while continuing to rely on gas as a stable baseload fuel. Its long-term LNG supply arrangements also point to a strategy that balances energy security with transition commitments, even as customers demand cleaner electricity for digital operations.

Sarath’s expansion plan underscores how AI is redrawing corporate strategy beyond Silicon Valley. Energy groups, telecom operators and infrastructure funds are increasingly competing for the physical assets behind the digital boom. Gulf’s bet is that Thailand’s AI economy will be shaped as much by power plants, fibre networks and industrial sites as by software models and cloud applications.

Collaboration will support efforts to identify and remediate software vulnerabilities using advanced AI capabilities

HONG KONG SAR – Media OutReach Newswire – 4 June 2026 – TrendAI™, the enterprise AI security leader from Trend Micro Incorporated (TYO: 4704; TSE: 4704), today announced its participation in Project Glasswing, an initiative focused on helping organizations identify and address vulnerabilities in critical software systems.

As part of the program, TrendAI™ will use Anthropic’s Claude Mythos Preview to support the review and analysis of software code, helping threat intelligence researchers turn accelerated vulnerability discovery into coordinated disclosure, prioritized remediation, and measurable risk reduction through vulnerability shielding and virtual patching.

AI is dramatically accelerating vulnerability discovery. TrendAI™ views this as a positive signal for the industry – it is part of the broader, collaborative ecosystem TrendAI™ has been actively contributing to for decades alongside organizations like Anthropic.

Rachel Jin, Chief Platform and Business Officer, Head of TrendAI™: “We’re aligned with Anthropic’s goals of using AI to make all software more secure. Organizations increasingly depend on software that operates at tremendous scale and supports critical business functions. Project Glasswing represents an important opportunity to explore how advanced AI can help software providers identify vulnerabilities earlier and improve the security and resilience of the systems customers depend on every day.”

TrendAI™ joins a growing community of organizations participating in Project Glasswing to better understand how frontier and advanced AI models can support defensive security efforts and improve the security of critical software infrastructure.

Insights gained through the program will contribute to informing the broader industry efforts to strengthen the security of the digital ecosystem.

Hashtag: #trendai #trendmicro #trendvisionone #visionone #trendaivisionone

https://www.trendaisecurity.com
https://www.linkedin.com/company/trendai-security
https://x.com/trendaisecurity
https://www.facebook.com/trendaisecurity/

The issuer is solely responsible for the content of this announcement.

About Anthropic

Anthropic is an AI safety and research company dedicated to building reliable, interpretable, and steerable AI systems. Its Claude family of models enables advanced capabilities across a wide range of applications, including code understanding and security analysis.

About TrendAI™

TrendAI™, the global AI security leader and enterprise business unit of Trend Micro, empowers organizations with full AI visibility and consolidated security that inspires confidence, drives innovation, and eliminates risk. Trusted by the largest enterprises and governments across 185 countries, TrendAI™ secures the entire organization, from identities to infrastructure to data. Global Fortune 500 companies rely on TrendAI™ to cut risk and stop threats up to three months earlier, powered by world-leading threat and attack intelligence. Through deep ecosystem partnerships with market leaders like NVIDIA, Anthropic, AWS, Google, and Microsoft, TrendAI™ empowers your organization to securely drive forward at the speed of AI. AI Fearlessly. Learn more at trendaisecurity.com.

Advancing Cross-Border Payments Across Latin America and Europe

AMSTERDAM, NETHERLANDS – Media OutReach Newswire – 3 June 2026 – XTransfer, the world’s leading B2B cross-border trade payment platform, and BBVA, a global financial group, have signed a Memorandum of Understanding (MOU) during Money20/20 Europe 2026 in Amsterdam to deepen cross-border payment infrastructure across Latin America and Europe.

Under the MOU, XTransfer and BBVA will combine their respective strengths to explore the delivery of integrated cross-border financial solutions, spanning FX conversion, local payments and cross-border payments across Latin America, Europe and Hong Kong SAR.

The parties will also explore leveraging technology and innovation, including APIs, digital platforms, collection solutions and virtual accounts, to support more automated, real-time and seamless FX conversion and transaction processing. By streamlining payment flows and improving operational connectivity, the collaboration is expected to enhance the scalability, efficiency and reliability of cross-border financial services for SMEs engaged in international trade.

In recent years, trade between China and Latin America has grown closer. XTransfer data shows that in 2025, payment collections from Latin America on its platform rose 94% y-o-y. Yet many SMEs still face major cross-border settlement hurdles, including slow onboarding, FX constraints, and complex compliance. The partnership between XTransfer and BBVA is structured to tackle these barriers directly.

For XTransfer, the partnership strengthens the coverage and depth of X-Net, its global unified B2B cross-border settlement and risk management network, in two of the most important regions for its SME clients. With Latin America emerging as a high-growth corridor for Chinese exporter settlements, BBVA’s strong presence across Latin America and Europe further strengthens XTransfer’s reach and competitive position.

With XTransfer’s network of more than 897,000 SME clients worldwide, the partnership also strengthens BBVA’s position in global payments and expands its ability to serve a broader, more diverse client base across multiple regions.

Bill Deng, Founder and CEO of XTransfer, said, “Latin America remains an active but underserved B2B trade corridor, where SMEs still encounter significant challenges. We are pleased to sign this MOU with BBVA, enabling us to leverage their expertise to bring X-Net’s infrastructure directly into the region. Together, we aim to simplify cross-border finance and improve the efficiency and inclusivity for global traders.”

Ksenia Nekrasova, Global Sector Co-Head of TMT at BBVA, said: “Beyond the growth in flows, we are seeing a shift in how our clients operate: digital platforms with global, real-time and highly integrated needs. This agreement allows us to anticipate that evolution, strengthening our capabilities in the TMT space and supporting these clients in their international expansion with solutions designed for their scale and complexity.”
Hashtag: #XTransfer #BBVA #CrossborderPayments #SMEs

https://www.xtransfer.com
https://www.linkedin.com/company/xtransfer.cn

The issuer is solely responsible for the content of this announcement.

About XTransfer

XTransfer, the world’s largest B2B cross-border trade payment platform with over US$60 billion TPV in 2025, according to CIC. Founded in 2017 as one of the first payment platforms worldwide dedicated to B2B cross-border trade, we serve the largest customer base of over 800,000 registered SMEs globally as of March 31, 2026.

We connect top-tier financial institutions directly to SMEs, the backbone of global trade, giving businesses of every size access to the same secure, compliant and seamless payment infrastructure once reserved for multinationals. As of March 31, 2026, we provide payment services across more than 200 countries and regions through partnerships with financial institutions, including some of the most established international banks around the world.

XTransfer has obtained required licenses in major hubs, including the Chinese Mainland, Hong Kong, the United Kingdom, the United States, Singapore, the Netherlands, Australia and Canada.

For more information, please visit: https://www.xtransfer.com

By T N Ashok The dust may have settled on the 2026 West Bengal Assembly election, but the political war has only intensified. Defeated former Chief Minister Mamata Banerjee has launched perhaps the most serious challenge yet to the legitimacy of the Bharatiya Janata Party’s sweeping victory, alleging that the saffron party manipulated electoral rolls, […]

The article Poll Results Were Out In Bengal A Month Ago, But Political Violence Is Still Continuing appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

The Provisions on the Protection of Trade Secrets, issued by the State Administration for Market Regulation under Order No. 126, came into force on 1 June 2026 and replace rules first introduced in 1995. The overhaul gives regulators clearer authority to handle disputes involving digital assets that now sit at the centre of corporate value, from AI model architecture and training datasets to platform recommendation systems, software code and commercially valuable operational data.

The change marks a significant shift in China’s treatment of intangible technology assets. Earlier rules were drafted before cloud computing, AI systems and large-scale data operations became central to business competition. The new framework defines trade secrets as technical or business information that is not publicly known, has commercial value and has been subject to confidentiality measures by the rights holder. Technical information now expressly covers data, algorithms, computer programs and code, while business information can include management, sales, finance, planning, customer and operational data.

The timing gives the regulation wider strategic weight. China and the United States are locked in a prolonged technology rivalry involving semiconductor controls, restrictions on advanced computing hardware, limits on investment in sensitive sectors and scrutiny of cross-border technology transfers. Washington has tightened export controls on high-end chips and chipmaking equipment, while Beijing has expanded its own legal toolkit to protect critical technology, secure data flows and prevent overseas transfer of capabilities it regards as strategically important.

The new rules do not create a separate trade secret law, but provide more detailed administrative guidance under China’s Anti-Unfair Competition Law. They clarify how regulators should assess whether information is secret, whether it has commercial value, what counts as reasonable confidentiality measures and how infringement should be investigated. For companies, the central message is that protection will depend not only on the value of the information, but also on whether internal controls, access limits, confidentiality agreements, digital safeguards and evidence trails are in place.

The provisions also recognise that unsuccessful research can have commercial value. Stage-by-stage technical results, failed experimental data and development paths that save time or cost in future research may qualify for protection if they meet the legal conditions. That is especially relevant for AI labs, pharmaceutical developers, electric vehicle makers, chip design firms and advanced manufacturing groups, where failed trials can reveal important technical boundaries and prevent competitors from repeating expensive mistakes.

Regulators have been given practical enforcement tools, including powers to inspect business premises, question individuals, copy documents, examine electronic records and take action against materials linked to suspected infringement. Penalties can include orders to stop unlawful conduct, confiscation of illegal gains and fines that may reach CNY5 million in serious cases. The framework also covers improper acquisition, disclosure, use or permission to use trade secrets obtained through theft, bribery, fraud, coercion, electronic intrusion or breach of confidentiality obligations.

For multinational companies operating in China, the new rules create a mixed picture. Stronger protection could help firms defend proprietary data, software systems and industrial processes in a market where trade secret disputes have often been difficult to pursue. At the same time, wider protection for data and algorithms may increase compliance complexity, particularly in joint ventures, outsourced research, cloud services, employee mobility, cross-border collaboration and licensing arrangements.

Technology companies are likely to face tougher expectations over documentation. Firms seeking protection will need to show that the information was not easily accessible, carried economic value and was actively protected. Generic claims that an algorithm or dataset is confidential may not be enough. Companies will be expected to classify sensitive assets, restrict access by role, track downloads and transfers, maintain logs, use encryption or watermarking where appropriate, and ensure that employment and partnership contracts define confidentiality obligations with precision.

The rules also sit alongside China’s broader data and security regime, including laws on data security, personal information protection, cybersecurity and export control. That overlap could make enforcement more powerful but also more complicated. A dataset may be a trade secret, a regulated data asset and a cross-border transfer concern at the same time. Businesses handling AI training material, user behaviour data or industrial performance data will need to assess those obligations together rather than treating trade secret protection as a standalone issue.